@article{Swiatek_2025_multidimensialClipCoil,

title = {Multidimensional Comparison of Microsurgical Clipping and Endovascular Techniques for Anterior Communicating Artery Aneurysms: Balancing Occlusion Rates and Periprocedural Risks},

author = {Vanessa M Swiatek and Amir Amini and Claudia A. Dumitru and Lena Iam Spitz and Klaus-Peter Stein and Sylvia Saalfeld and Ali Rashidi and I. Erol Sandalcioglu and Belal Neyazi},

doi = {https://doi.org/10.3390/medicina61030498},

year  = {2025},

date = {2025-03-13},

journal = {medicina},

volume = {61},

number = {3},

pages = {498},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kehrer2025,

title = {Multilabel segmentation and analysis of skeletal muscle and adipose tissue in routine abdominal CT scans},

author = {Robert Kreher and Georg Hille and Bernhard Preim and Mattes Hinnerichs and Jan Borggrefe and Alexey Surov and Sylvia Saalfeld },

doi = {https://doi.org/10.1016/j.compbiomed.2024.109622},

year  = {2025},

date = {2025-01-07},

journal = {Computers in Biology and Medicine},

volume = {186},

abstract = {Purpose: This paper presents a deep learning-based multi-label segmentation network that extracts a total of

three separate adipose tissues and five different muscle tissues in CT slices of the third lumbar vertebra and

additionally improves the segmentation of the intermuscular fat.

Method: Based on a self-created data set of 130 patients, an extended Unet structure was trained and evaluated

with the help of Dice score, IoU and Pixel Accuracy. In addition, the interobserver variability for the decision

between ground truth and post-processed segmentation was calculated to illustrate the relevance in everyday

clinical practice.

Results: On average, the presented approach achieved 91.0 ± 0.065% DSC for the muscle tissues and

88.9 ± 0.062% DSC for the adipose tissues. It was shown that by post-processing the intermuscular fat tissue,

physicians prefer the result of the algorithm presented in the paper to their segmentation by 91.51%.

Conclusion: The algorithm provided more precise segmentations of muscles and adipose tissue, demonstrating

high-quality performance in segmenting muscle tissue. In qualitative evaluations, physicians preferred the

algorithm’s segmentation over expert segmentations, with the preference quantified as 91.51%. This indicates

that, based on their assessment, the algorithm’s results were significantly favored. This qualitative feedback

supports the algorithm’s use in subsequent analyses of patient fitness, leveraging the detailed information it

provides.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Huber2024,

title = {Virtual Reality in der Leberchirurgie – Planen, Weiterbilden, Prüfen},

author = {Tobias Huber and Florentine Huettl and Lukas Vradelis and Verena Tripke and Danny Schott and Vuthea Chheang and Patrick Saalfeld and Mareen Allgaier and Sylvia Saalfeld and Bernhard Preim and Christian Hansen and Laura Isabel Hanke and Hauke Lang},

doi = {https://doi.org/10.1007/s00104-024-02216-5},

year  = {2024},

date = {2024-12-17},

journal = {Die Chirurgie},

abstract = {Bereits seit über 20 Jahren können anatomische Strukturen der Leber aus präoperativen Schnittbildgebungen dreidimensional rekonstruiert werden. Diese dreidimensionale (3D) Darstellung optimiert nicht nur die präoperativen Planungsmöglichkeiten, auch die Vermittlung spezifischer, operationsrelevanter Strukturen kann durch 3D-Modelle verbessert werden. Die disruptive Technologie der virtuellen Realität (VR) kann neben einer plastischen und interaktiven Visualisierung dreidimensionaler Organmodelle auch eine Möglichkeit zur strukturierten Aus- und Weiterbildung hinsichtlich leberchirurgischer Anatomie und Operationsplanung liefern. Prüfungen in virtueller Realität erscheinen dadurch ebenfalls greifbar. Neueste Prototypen ermöglichen sogar eine patientenindividuelle Simulation der intraoperativen Sonographie. Dieser Artikel stellt einen Überblick über den gegenwärtigen Stand der verfügbaren Technologien für Aus- und Weiterbildung mittels VR am Beispiel der Leberchirurgie dar.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Streuber2024,

title = {A VR neurointerventional setup for catheter-based interventions focusing on visualizing the risk of radiation},

author = {Marcus Streuber and Mareen Allgaier and Roland Schwab and Daniel Behme and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/2025/12/1-s2.0-S001048252401309X-main.pdf},

doi = {10.1016/j.compbiomed.2024.109224},

issn = {0010-4825},

year  = {2024},

date = {2024-10-19},

journal = {Computers in Biology and Medicine},

volume = {183},

pages = {109224},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Swiatek_JPersMed2024,

title = {Sex Differences in Intracranial Aneurysms: A Matched Cohort Study},

author = {Vanessa M Swiatek and Amir Amini and Michelle Marinescu and Claudia A. Dumitru and Lena Iam Spitz and Klaus-Peter Stein and Sylvia Saalfeld and Ali Rashidi and I. Erol Sandalcioglu and Belal Neyazi},

doi = {https://doi.org/10.3390/jpm14101038},

year  = {2024},

date = {2024-09-28},

journal = {Journal of Personalized Medicine},

volume = {14},

number = {10},

pages = {1038},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_2024_CURACb,

title = {Subset selection for intracranial aneurysms for training simulations},

author = {Lena Iam Spitz and Stanley Chukwuemeka Umeh and Daniel Behme and Belal Neyazi and I. Erol Sandalcioglu and Bernhard Preim and Sylvia Saalfeld },

url = {https://www.vismd.de/wp-content/uploads/2025/12/spitz_10.1515_cdbme-2024-0119.pdf},

doi = {https://doi.org/10.1515/cdbme-2024-0119},

year  = {2024},

date = {2024-09-12},

journal = {Current Directions in Biomedical Engineering },

volume = {10},

number = {1},

pages = {73-76},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_2023_CURACb,

title = {Morphologic and hemodynamic analysis of intracranial mirror aneurysms},

author = {Lena Iam Spitz and Jessica Schmidt and Jana Korte and Philipp Berg and Daniel Behme and Belal Neyazi and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1515/cdbme-2024-1074},

year  = {2024},

date = {2024-09-10},

journal = { Current Directions in Biomedical Engineering },

volume = {10},

number = {2},

pages = {87-90},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{SpitzIJCARS2024,

title = {Assessment of intracranial aneurysm neck deformation after contour deployment},

author = {Lena Iam Spitz and Jana Korte and Franziska Gaidzik and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1007/s11548-024-03189-w},

year  = {2024},

date = {2024-05-31},

journal = {International Journal of Computer Assisted Radiology and Surgery},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgaier_2023_CURAC,

title = {Gamified Virtual Reality Training for Visuospatial Ability in Neuroradiology},

author = {Mareen Allgaier and Tim Jered Härtel and Seraphine Zubel and Maximilian Thormann and Daniel Behme and Bernhard Preim and Sylvia Saalfeld},

doi = {10.1515/cdbme-2024-1058},

year  = {2023},

date = {2023-09-14},

booktitle = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V., 2023},

journal = {Current Directions in Biomedical Engineering},

volume = {10},

number = {2},

pages = {25-28},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niemann_2023_IJCARS_a,

title = {Multimodal exploration of the intracranial aneurysm wall},

author = {Annika Niemann and Riikka Tulamo and Eliisa Netti and Bernhard Preim and Philipp Berg and Juan Cebral and Anne Robertson and Sylvia Saalfeld},

url = {https://link.springer.com/article/10.1007/s11548-023-02850-0},

year  = {2023},

date = {2023-03-06},

journal = {International Journal of Computer-Assisted Radiology and Surgery},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgaier2023,

title = {Design of a virtual data shelf to effectively explore a large database of 3D medical surface models in VR},

author = {Mareen Allgaier and Lena Iam Spitz and Daniel Behme and Anastasios Mpotsaris and Philipp Berg and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/2023/05/allgaier_spitz2023_VRshelf.pdf},

doi = {https://doi.org/10.1007/s11548-023-02851-z},

year  = {2023},

date = {2023-03-03},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {18},

number = {1},

pages = {2013–2022},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_2023_IJCARS_a,

title = {A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data},

author = {Lena Iam Spitz and Franziska Gaidzik and Daniel Stucht and Hendrik Mattern and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/2023/05/Spitz_Paper_hybridCoReg2023.pdf},

doi = {10.1007/s11548-023-02836-y},

year  = {2023},

date = {2023-01-20},

journal = {International Journal of Computer-Assisted Radiology and Surgery},

volume = {18},

number = {5},

pages = {837-844},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niemann_2023_IJCARS,

title = {Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management},

author = {Annika Niemann and Daniel Behme and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/article/10.1007/s11548-022-02818-6},

year  = {2023},

date = {2023-01-10},

journal = {International Journal of Computer-Assisted Radiology and Surgery},

volume = {18},

number = {3},

pages = {517-525},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Thormann_2022,

title = {Sarcopenia is an Independent Prognostic Factor in Patients With Pancreatic Cancer – a Meta-analysis},

author = {Maximilian Thormann and Mattes Hinnerichs and Felix Barajas Ordonez and Sylvia Saalfeld and Aristoteles Perrakis and Roland Croner and Jazan Omari and Maciej Pech and Marina Zamsheva and Hans-Jonas Meyer and Andreas Wienke and Alexey Surov},

doi = {https://doi.org/10.1016/j.acra.2022.10.025},

year  = {2022},

date = {2022-12-22},

journal = {Academic Radiology},

number = {1-10},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hinnerichs_2022,

title = {Prognostic Impact of Quality and Distribution of Adipose Tissue in Patients With Primary Central Nervous System Lymphoma},

author = {Mattes Hinnerichs and Vincenzo Ferraro and Vanja Zeremski and Dimitrios Mougiakakos and Jazan Omari and Maciej Pech and Caroline Bär and Andreas Wienke and Sylvia Saalfeld and Alexandra Strobel and Alexey Surov and Hans Jonas Meyer and Denise Wolleschak},

doi = {https://pubmed.ncbi.nlm.nih.gov/36309379/},

year  = {2022},

date = {2022-11-17},

journal = {in viro},

volume = {36},

pages = {2628-2834},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hellmeier_2022,

title = {Geometric uncertainty in intracranial aneurysm rupture status discrimination: a two-site retrospective study},

author = {Florian Hellmeier and Jan Brüning and Philipp Berg and Sylvia Saalfeld and Andreas Spuler and Ibrahim Erol Sandalcioglu and Oliver Beuing and Naomi Larsen and Jens Schaller and Leonid Goubergrits},

doi = {http://dx.doi.org/10.1136/bmjopen-2022-063051},

year  = {2022},

date = {2022-11-08},

journal = {BMJ Journals},

volume = {12},

pages = {1-10},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niemann_CURAC_2022,

title = {Centerline and blockstructure for fast structured mesh generation},

author = {Annika Niemann and Gabor Janiga and Bernhard Preim and Daniel Behme and Sylvia Saalfeld},

doi = {https://doi.org/10.1515/cdbme-2022-0004},

year  = {2022},

date = {2022-09-15},

booktitle = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.},

journal = {Current Directions in Biomedical Engineering (CURAC 2022)},

volume = {8},

number = {1},

pages = {13-16},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kreher_2022,

title = {Deep-learning-based Segmentation of Skeletal Muscle Mass in Routine Abdominal CT Scans},

author = {Robert Kreher and Mattes Hinnerichs and Bernhard Preim and Sylvia Saalfeld and Alexey Surov},

year  = {2022},

date = {2022-07-28},

journal = {International Journal of Experimental and Clinical Pathophysiology and Drug Research - In Vino},

volume = {36(4)},

number = {1807-1811},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chabi_2022,

title = {Self-calibration of C-arm imaging system using interventional instruments during an intracranial biplane angiography},

author = {Negar Chabi and Domenico Iuso and Oliver Beuing and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1007/s11548-022-02580-9},

year  = {2022},

date = {2022-03-23},

journal = {International Journal of Computer Assisted Radiology and Surgery IJCARS },

volume = {17(7)},

number = {1355-1366},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ALLGAIER2022105429,

title = {A comparison of input devices for precise interaction tasks in VR-based surgical planning and training},

author = {Mareen Allgaier and Vuthea Chheang and Patrick Saalfeld and Vikram Apilla and Tobias Huber and Florentine Huettl and Belal Neyazi and Erol I Sandalcioglu and Christian Hansen and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.sciencedirect.com/science/article/pii/S0010482522002219},

doi = {https://doi.org/10.1016/j.compbiomed.2022.105429},

issn = {0010-4825},

year  = {2022},

date = {2022-01-01},

journal = {Computers in Biology and Medicine},

volume = {145},

pages = {105429},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgaier_CURAC_2022,

title = {Immersive VR training system for clipping intracranial aneurysms},

author = {Mareen Allgaier and Belal Neyazi and Erol I Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1515/cdbme-2022-0003},

year  = {2022},

date = {2022-01-01},

booktitle = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.},

journal = {Current Directions in Biomedical Engineering (CURAC 2022)},

volume = {8},

number = {1},

pages = {9-12},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_CURAC_2022,

title = {Segmentation of Circle of Willis from 7T TOF-MRI data and immersive exploration using VR},

author = {Lena Iam Spitz and Mareen Allgaier and Anastasios Mpotsaris and Daniel Behme and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/2023/05/SpitzCURAC2022.pdf},

doi = {https://doi.org/10.1515/cdbme-2022-0033},

year  = {2022},

date = {2022-01-01},

booktitle = {Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie e.V.},

journal = {Current Directions in Biomedical Engineering (CURAC 2022)},

volume = {8},

number = {1},

pages = {129-132},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Saalfeld_cdbme_2021,

title = {Image-based Blood Flow Analysis of Popliteal Artery Aneurysms an Interdisciplinary Pilot Study},

author = {Sylvia Saalfeld and M. Mirzaie and S. Fatehpur and J. Korte and Philipp Berg},

doi = {https://doi.org/10.1515/cdbme-2021-2227},

year  = {2021},

date = {2021-12-16},

journal = {Current Directions in Biomedical Engineering},

volume = {7 (2)},

pages = {891-894},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Saalfeld_BioEng_2021,

title = {Hemodynamics of anterior communicating artery aneurysms using combined imaging of the anterior circulation},

author = {Sylvia Saalfeld and D. Behme and M. Almizel and Philipp Berg},

doi = {https://doi.org/10.1515/cdbme-2021-2226},

year  = {2021},

date = {2021-12-16},

journal = {Current Directions in Biomedical Engineering},

volume = {7 (2)},

pages = {887-890},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Saalfeld_Frontiers_2021,

title = {Can Endovascular Treatment of Fusiform Intracranial Aneurysms Restore the Healthy Hemodynamic Environment? - A Virtual Pilot Study},

author = {Sylvia Saalfeld and Janneck Stahl and J. Korte and L.M.M. Marsh and Bernhard Preim and Oliver Beuing and Y. Cherednychenko and D. Behme and Philipp Berg},

year  = {2021},

date = {2021-12-15},

journal = {Frontiers in Neurology},

pages = {to appear},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgaier_IJCARS_2021,

title = {VR-based Training of Craniotomy for Intracranial Aneurysm Surgery},

author = {Mareen Allgaier and A. Amini and B. Neyazi and I.E. Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1007/s11548-021-02538-3},

year  = {2021},

date = {2021-12-15},

journal = {International Journal of Computer Assisted Radiology and Surgery},

pages = {1--8},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Sprengel_JCARS_2021,

title = {Virtual embolization for treatment support of intracranial AVMs using an interactive desktop and VR application},

author = {Ulrike Sprengel and Patrick Saalfeld and Janneck Stahl and Sarah Mittenentzwei and Moritz Drittel and Benjamin Behrendt and N. Kaneko and D. Behme and Philipp Berg and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/content/pdf/10.1007/s11548-021-02532-9.pdf},

doi = {10.1007/s11548-021-02532-9},

year  = {2021},

date = {2021-12-14},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {16},

pages = {2119-2127},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niemann_IJCARS_2021,

title = {Complex wall modeling for hemodynamic simulations of intracranial aneurysms based on histologic images},

author = {Annika Niemann and Samuel Voss and R. Tulamo and S. Weigand and Bernhard Preim and Philippb Berg and Sylvia Saalfeld},

year  = {2021},

date = {2021-12-09},

journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},

volume = {16 (4)},

pages = {597-607},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_BioEng_2021,

title = {An interactive tool for identifying patient subgroups based on arbitrary characteristics for medical research},

author = {Lena Iam Spitz and V.M. Swiatek and B. Neyazi and I.E. Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/2022/08/Spitz_CURAC2021.pdf},

doi = {10.1515/cdbme-2021-1010},

year  = {2021},

date = {2021-12-09},

journal = {Current Directions in Biomedical Engineering},

volume = {7 (1)},

pages = {43-46},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2021_Niemann_tissue,

title = {Tissue segmentation in histologic images of intracranial aneurysm wall},

author = {Annika Niemann and Anitha Talagini and Pavan Kandapagari and Bernhard Preim and Sylvia Saalfeld},

year  = {2021},

date = {2021-01-01},

journal = {Interdisciplinary Neurosurgery},

volume = {26},

pages = {101307},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2021_Swiatek_WallEnh,

title = {Aneurysm Wall Enhancement Is Associated With Decreased Intrasaccular IL-10 and Morphological Features of Instability},

author = {Vanessa M Swiatek and Belal Neyazi and Jorge A Roa and Mario Zanaty and Edgar A Samaniego and Daizo Ishii and Yongjun Lu and Erol I Sandalcioglu and Sylvia Saalfeld and Philipp Berg and David M Hasan},

doi = {10.1093/neuros/nyab249, %issn = 0148-396X, %url = https://doi.org/10.1093/neuros/nyab249},

year  = {2021},

date = {2021-01-01},

journal = {Neurosurgery},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg.2021,

title = {VICTORIA: VIrtual neck Curve and True Ostium Reconstruction of Intracranial Aneurysms},

author = {Philipp Berg and Benjamin Behrendt and Samuel Voß and Oliver Beuing and Belal Neyazi and Ibrahim Erol Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

doi = {10.1007/s13239-021-00535-w},

issn = {1869-4098},

year  = {2021},

date = {2021-01-01},

journal = {Cardiovascular Engineering and Technology},

abstract = {For the status evaluation of intracranial aneurysms (IAs), morphological and hemodynamic parameters can provide valuable information. For their extraction, a separation of the aneurysm sac from its parent vessel is required that yields the neck curve and the ostium. However, manual and subjective neck curve and ostium definitions might lead to inaccurate IA assessments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Allgaier_2021_CARS,

title = {Distance and Force Visualisations for Improved Simulation of Intracranial Aneurysm Clipping},

author = {Mareen Allgaier and Belal Neyazi and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/article/10.1007/s11548-021-02413-1},

doi = {10.1007/s11548-021-02413-1},

year  = {2021},

date = {2021-01-01},

booktitle = {Proc. of Congress on Computer Assisted Radiology and Surgery (CARS)},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {16},

number = {8},

pages = {1297-1304},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{schneider2020medmeshcnnb,

title = {MedMeshCNN - Enabling MeshCNN for Medical Surface Models},

author = {Lisa Schneider and Annika Niemann and Oliver Beuing and Bernhard Preim and Sylvia Saalfeld},

doi = {https://doi.org/10.1016/j.cmpb.2021.106372},

year  = {2021},

date = {2021-01-01},

journal = {Computer Methods and Programs in Biomedicine},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{allgaier2021vr,

title = {VR-based training of craniotomy for intracranial aneurysm surgery},

author = {Mareen Allgaier and Amir Amini and Belal Neyazi and Erol I Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

doi = {10.1007/s11548-021-02538-3},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery},

pages = {1--8},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{2021_Mittenentzwei_CARS,

title = {Definition and Extraction of 2D Shape Indices of Intracranial Aneurysm Necks for Rupture Risk Assessment},

author = {Sarah Mittenentzwei and Oliver Beuing and Belal Neyazi and Erol I Sandalcioglu and Naomi Larsen and Bernhard Preim and Sylvia Saalfeld},

url = {https://link.springer.com/content/pdf/10.1007/s11548-021-02469-z.pdf},

doi = {10.1007/s11548-021-02469-z},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},

pages = {to appear},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Larsen_2020_RoeFo,

title = {Fokales Wand- Enhancement in intrakraniellen Aneurysmen ist assoziiert mit lokalen hamodynamischen low  ow- Verhaltnissen und Wandin ammation},

author = {N. Larsen and C. Flüh and Sylvia Saalfeld and Samuel Voss and Georg Hille and O. Jansen and Philipp Berg},

editor = {Georg Thieme Verlag},

year  = {2020},

date = {2020-01-22},

journal = {RöFo-Fortschritte auf dem Gebiet der Rontgenstrahlen und der bildgebenden Verfahren.},

volume = {192},

pages = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Niemann2020,

title = {Interactive exploration of a 3D intracranial aneurysm wall model extracted from histologic slices},

author = {Annika Niemann and Simon Weigand and Thomas Hoffmann and Martin Skalej and Riikka Tulamo and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/legacy/niemann2020.pdf, PDF Download},

doi = {10.1007/s11548-019-02083-0},

issn = {1861-6429},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {15},

number = {1},

pages = {99--107},

abstract = {Currently no detailed in vivo imaging of the intracranial vessel wall exists. Ex vivo histologic images can provide information about the intracranial aneurysm (IA) wall composition that is useful for the understanding of IA development and rupture risk. For a 3D analysis, the 2D histologic slices must be incorporated in a 3D model which can be used for a spatial evaluation of the IA's morphology, including analysis of the IA neck.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Voss_2020_BMT,

title = {Automated incisional hernia characterization by non-rigid registration of CT images – a pilot study},

author = {Samuel Voß and Philipp D Lösel and Sylvia Saalfeld and Philipp Berg and Vincent Heuveline and Friedrich Kallinowski},

year  = {2020},

date = {2020-01-01},

journal = {BMT},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{neyazi2020rupture,

title = {Rupture risk assessment for multiple intracranial aneurysms: why there is no need for dozens of clinical, morphological and hemodynamic parameters},

author = {Belal Neyazi and Vanessa M Swiatek and Martin Skalej and Oliver Beuing and Klaus-Peter Stein and Jörg Hattingen and Bernhard Preim and Philipp Berg and Sylvia Saalfeld and Erol I Sandalcioglu},

url = {https://www.vismd.de/wp-content/uploads/legacy/neyazi2020rupture.pdf, PDF Download},

year  = {2020},

date = {2020-01-01},

journal = {Therapeutic Advances in Neurological Disorders},

volume = {13},

pages = {1756286420966159},

publisher = {SAGE Publications Sage UK: London, England},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gaidzik_2020_ClinicalNeuro,

title = {Hemodynamic data assimilation in a subject-specific circle of Willis geometry},

author = {Franziska Gaidzik and Sahani Pathiraja and Sylvia Saalfeld and Daniel Stucht and Oliver Speck and Dominique Thevenin and Gabor Janiga},

year  = {2020},

date = {2020-01-01},

journal = {Clinical neuroradiology},

pages = {9 Seiten},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg_2020_Neuro,

title = {The missing piece to solve the equation},

author = {Philipp Berg and Sylvia Saalfeld and Samuel Voß and Oliver Beuing and Belal Neyazi and Leonid Goubergrits and Gabor Janiga},

url = {https://www.vismd.de/wp-content/uploads/legacy/berg_2020_neuro.pdf, PDF Download},

year  = {2020},

date = {2020-01-01},

journal = {NEUROSURGICAL FOCUS},

volume = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Larsen_2020_Neuro,

title = {Multimodal validation of focal enhancement in intracranial aneurysms as a surrogate marker for aneurysm instability},

author = {Naomi Larsen and C Flüh and Sylvia Saalfeld and Samuel Voß and Georg Hille and D Trick and F Wodarg and M Synowitz and O Jansen and Philipp Berg},

url = {https://www.vismd.de/wp-content/uploads/legacy/larsen_2020_neuro.pdf, PDF Download},

year  = {2020},

date = {2020-01-01},

journal = {Neuroradiology},

pages = {1--9},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg_2020_IJAO,

title = {MR vessel wall imaging in intrracranical aneuryms - Low flow conditions are correlated with facal wall enhancement},

author = {Philipp Berg and Sylvia Saalfeld and M Pravdivtsevan and C Flüh and Naomi Larsen},

year  = {2020},

date = {2020-01-01},

journal = {International Jounal of Artifical Organs},

volume = {43(8)},

pages = {506--555},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Spitz_JCARS_2020,

title = {Combining visual analytics and case-based reasoning for rupture risk assessment of intracranial aneurysms},

author = {Lena Iam Spitz and Uli Niemann and Oliver Beuing and Belal Neyazi and Erol I Sandalcioglu and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/legacy/spitz_jcars_2020.pdf, PDF Download},

doi = {10.1007/s11548-020-02217-9},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},

volume = {15},

number = {9},

pages = {1525--1535},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg2019,

title = {Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)---phase II: rupture risk assessment},

author = {Philipp Berg and Samuel Voss and Gabor Janiga and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/legacy/berg2019.pdf, PDF Download},

doi = {10.1007/s11548-019-01986-2},

issn = {1861-6429},

year  = {2019},

date = {2019-05-03},

journal = {International Journal of Computer Assisted Radiology and Surgery},

abstract = {Assessing the rupture probability of intracranial aneurysms (IAs) remains challenging. Therefore, hemodynamic simulations are increasingly applied toward supporting physicians during treatment planning. However, due to several assumptions, the clinical acceptance of these methods remains limited.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg_2019_Focus,

title = {A review on the reliability of hemodynamic modeling in intracranial aneurysms: why computational fluid dynamics alone cannot solve the equation},

author = {Philipp Berg and Sylvia Saalfeld and Samuel Voß and Oliver Beuing and Gábor Janiga},

url = {https://www.vismd.de/wp-content/uploads/legacy/berg_2019_focus.pdf, PDF Download},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Neurosurgical Focus},

volume = {47(1)},

pages = {E15},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Goubergrits_2019_BioMed,

title = {Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): uncertainty quantification of geometric rupture risk parameters},

author = {Leonid Goubergrits and Florian Hellmeier and Jan Brüning and Andreas Spuler and Hans-Christian Hege and Samuel Voß and Gabor Janiga and Sylvia Saalfeld and Oliver Beuing and Philipp Berg},

year  = {2019},

date = {2019-01-01},

journal = {BioMedical Engineering OnLine},

volume = {18(1):35},

note = {DOI: 10.1186/s12938-019-0657-y https://rdcu.be/bsXPk},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Weigand_2019_Neuroradiology,

title = {Suitability of intravascular imaging for assessment of cerebrovascular diseases},

author = {S Weigand and Sylvia Saalfeld and Thomas Hoffmann and E Eppler and T Kalinski and K Jachau and Martin Skalej},

year  = {2019},

date = {2019-01-01},

journal = {Neuroradiology},

pages = {1--9},

publisher = {Springer},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{merten2019floormap,

title = {Floor Map Visualizations of Medical Volume Data},

author = {Nico Merten and Sylvia Saalfeld and Bernhard Preim},

url = {https://www.vismd.de/wp-content/uploads/legacy/merten_2019_wscg.pdf, PDF Download},

year  = {2019},

date = {2019-01-01},

volume = {27},

number = {1},

pages = {49--58},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{merten2019atwostep,

title = {A Two-Step Risk Assessment Method for Radiofrequency Ablations of Spine Metastases},

author = {Nico Merten and Simon Adler and Hille Georg and Magnus Hanses and Matthias Becker and Sylvia Saalfeld and Bernhard Preim},

url = {https://www.vismd.de/wp-content/uploads/legacy/merten_2019_cbm.pdf, PDF Download},

year  = {2019},

date = {2019-01-01},

volume = {108},

pages = {174--181},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Oeltze_2019_CGF,

title = {Generation and Visual Exploration of Medical Flow Data: Survey, Research Trends and Future Challenges},

author = {Steffen Oeltze-Jafra and Monique Meuschke and Matthias Neugebauer and Sylvia Saalfeld and Kai Lawonn and Gabor Janiga and Hans-Christian Hege and S Zachow and Bernhard Preim},

url = {https://www.researchgate.net/publication/324056681_Generation_and_Visual_Exploration_of_Medical_Flow_Data_Survey_Research_Trends_and_Future_Challenges#fullTextFileContent},

year  = {2019},

date = {2019-01-01},

journal = {Computer Graphics Forum},

volume = {38 (1)},

pages = {87--125},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Saalfeld_2018_IJCARS,

title = {Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters},

author = {Sylvia Saalfeld and Philipp Berg and Annika Niemann and Maria Luz and Bernhard Preim and Oliver Beuing},

url = {https://www.vismd.de/wp-content/uploads/legacy/saalfeld_2018_ijcars.pdf, PDF Download},

doi = {10.1007/s11548-018-1848-x},

issn = {1861-6429},

year  = {2018},

date = {2018-11-01},

journal = {International Journal of Computer Assisted Radiology and Surgery},

volume = {13},

number = {11},

pages = {1781--1793},

abstract = {Morphological parameters of intracranial aneurysms (IAs) are well established for rupture risk assessment. However, a manual measurement is error-prone, not reproducible and cumbersome. For an automatic extraction of morphological parameters, a 3D neck curve reconstruction approach to delineate the aneurysm from the parent vessel is required.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg_2018_VirtualStenting,

title = {Virtual stenting of intracranial aneurysms: A pilot study for the prediction of treatment success based on hemodynamic simulations},

author = {Philipp Berg and Sylvia Saalfeld and Gábor Janiga and Olivier Brina and Nicole M Cancelliere and Paolo Machi and Vitor M Pereira},

url = {https://www.vismd.de/wp-content/uploads/legacy/berg_2018_virtualstenting.pdf, PDF Download},

doi = {10.1177/0391398818775521},

year  = {2018},

date = {2018-01-01},

journal = {The International Journal of Artificial Organs},

volume = {41},

number = {11},

pages = {698-705},

abstract = {Endovascular treatment of intracranial aneurysms using flow-diverting devices has revolutionized the treatment of large and complex lesions due to its minimally invasive nature and potential clinical outcomes. However, incomplete or delayed occlusion and persistent intracranial aneurysm growth are still an issue for up to one-third of the patients. We evaluated two patients with intracranial aneurysm located at the internal carotid artery who were treated with flow-diverting devices and had opposite outcomes. Both patients presented with similar aneurysms and were treated with the same device, but after a 1-year follow-up, one case presented with complete occlusion (Case 1) and the other required further treatment (Case 2). To reproduce the interventions, virtual stents were deployed and blood flow simulations were carried out using the respective patient-specific geometries. Afterward, hemodynamic metrics such as aneurysmal inflow reduction, wall shear stresses, oscillatory shear, and inflow concentration indices were quantified. The hemodynamic simulations reveal that for both cases, the neck inflow was clearly reduced due to the therapy (Case 1: 19%, Case 2: 35%). In addition, relevant hemodynamic parameters such as time-averaged wall shear stress (Case 1: 35.6%, Case 2: 57%) and oscillatory shear (Case 1: 33.1%, Case 2: 26.7%) were decreased considerably. However, although stronger relative reductions occurred in the unsuccessful case, the absolute flow values in the successful case were approximately halved. The findings demonstrate that a high relative effect of endovascular devices is not necessarily associated with the desired treatment outcome. Instead, it appears that a successful intracranial aneurysm therapy requires a certain patient-specific inflow threshold.},

note = {PMID: 29783867},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg_2018_JoNS,

title = {Does the DSA reconstruction kernel affect hemodynamic predictions in intracranial aneurysms? An analysis of geometry and blood flow variations},

author = {Philipp Berg and Sylvia Saalfeld and Samuel Voß and T Redel and Bernhard Preim and Gabor Janiga and Oliver Beuing},

url = {https://www.vismd.de/wp-content/uploads/legacy/berg_2018_jons.pdf, PDF Download},

doi = {10.1136/neurintsurg-2017-012996},

issn = {1759-8478},

year  = {2018},

date = {2018-01-01},

journal = {Journal of NeuroInterventional Surgery},

volume = {10},

number = {3},

pages = {290--296},

publisher = {British Medical Journal Publishing Group},

abstract = {Background Computational fluid dynamics (CFD) blood flow predictions in intracranial aneurysms promise great potential to reveal patient-specific flow structures. Since the workflow from image acquisition to the final result includes various processing steps, quantifications of the individual introduced potential error sources are required.Methods Three-dimensional (3D) reconstruction of the acquired imaging data as input to 3D model generation was evaluated. Six different reconstruction modes for 3D digital subtraction angiography (DSA) acquisitions were applied to eight patient-specific aneurysms. Segmentations were extracted to compare the 3D luminal surfaces. Time-dependent CFD simulations were carried out in all 48 configurations to assess the velocity and wall shear stress (WSS) variability due to the choice of reconstruction kernel.Results All kernels yielded good segmentation agreement in the parent artery; deviations of the luminal surface were present at the aneurysm neck (up to 34.18%) and in distal or perforating arteries. Observations included pseudostenoses as well as noisy surfaces, depending on the selected reconstruction kernel. Consequently, the hemodynamic predictions show a mean SD of 11.09% for the aneurysm neck inflow rate, 5.07% for the centerline-based velocity magnitude, and 17.83%/9.53% for the mean/max aneurysmal WSS, respectively. In particular, vessel sections distal to the aneurysms yielded stronger variations of the CFD values.Conclusions The choice of reconstruction kernel for DSA data influences the segmentation result, especially for small arteries. Therefore, if precise morphology measurements or blood flow descriptions are desired, a specific reconstruction setting is required. Furthermore, research groups should be encouraged to denominate the kernel types used in future hemodynamic studies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg_2018_MATCH,

title = {Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH): Phase I: Segmentation},

author = {Philipp Berg and Samuel Voss and Sylvia Saalfeld and Gábor Janiga},

url = {https://www.vismd.de/wp-content/uploads/legacy/berg_2018_match.pdf, PDF Download},

doi = {10.1007/s13239-018-00376-0},

issn = {1869-4098},

year  = {2018},

date = {2018-01-01},

journal = {Cardiovascular Engineering and Technology},

abstract = {Advanced morphology analysis and image-based hemodynamic simulations are increasingly used to assess the rupture risk of intracranial aneurysms (IAs). However, the accuracy of those results strongly depends on the quality of the vessel wall segmentation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Voss_2018_BMT,

title = {Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness},

author = {Samuel Voß and Sylvia Saalfeld and Thomas Hoffmann and Oliver Beuing and Gábor Janiga and Philipp Berg},

url = {https://www.vismd.de/wp-content/uploads/legacy/voss_2018_bmt.pdf, PDF Download},

doi = {10.1515/cdbme-2018-0141},

year  = {2018},

date = {2018-01-01},

journal = {Current Directions in Biomedical Engineering},

volume = {4},

pages = {587-590},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Voss_2018_Biomedical,

title = {Fluid-structure interaction in intracranial vessel walls: The role of patient-specific wall thickness},

author = {Samuel Voß and Sylvia Saalfeld and Thomas Hoffmann and Gabor Janiga and Oliver Beuing and Philipp Berg},

url = {https://www.vismd.de/wp-content/uploads/legacy/voss_2018_biomedical.pdf, PDF Download},

year  = {2018},

date = {2018-01-01},

journal = {Current Directions in Biomedical Engineering},

volume = {4(1)},

pages = {587--590},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{hille_2018_CBM,

title = {Multi-segmental spine image registration supporting image-guided interventions of spinal metastases},

author = {Georg Hille and Sylvia Saalfeld and Steffen Serowy and Klaus-Dietz Tönnies},

url = {https://www.vismd.de/wp-content/uploads/legacy/hille_2018_cbm.pdf, PDF Download},

doi = {https://doi.org/10.1016/j.compbiomed.2018.09.003},

issn = {0010-4825},

year  = {2018},

date = {2018-01-01},

journal = {Computers in Biology and Medicine},

volume = {102},

pages = {16--20},

abstract = {Background 

Radiofrequency ablation was introduced recently to treat spinal metastases, which are among the most common metastases. These minimally-invasive interventions are most often image-guided by flat-panel CT scans, withholding soft tissue contrast like MR imaging. Image fusion of diagnostic MR and operative CT images could provide important and useful information during interventions. 

Method 

Diagnostic MR and interventional flat-panel CT scans of 19 patients, who underwent radiofrequency ablations of spinal metastases were obtained. Our presented approach piecewise rigidly registers single vertebrae using normalized gradient fields and embeds them within a fused image. Registration accuracy was determined via Euclidean distances between corresponding landmark pairs of ground truth data. 

Results 

Our method resulted in an average registration error of 2.35mm. An optimal image fusion performed by landmark registrations achieved an average registration error of 1.70mm. Additionally, intra- and inter-reader variability was determined, resulting in mean distances of corresponding landmark pairs of 1.05mm (MRI) and 1.03mm (flat-panel CT) for the intra-reader variability and 1.36mm and 1.28mm for the inter-reader variability, respectively. 

Conclusions 

Our multi-segmental approach with normalized gradient fields as image similarity measure can handle spine deformations due to patient positioning and avoid time-consuming manually performed registration. Thus, our method can provide practical and applicable intervention support without significantly delaying the clinical workflow or additional workload.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{HILLE201893,

title = {Vertebral body segmentation in wide range clinical routine spine MRI data},

author = {Georg Hille and Sylvia Saalfeld and Steffen Serowy and Klaus-Dietz Tönnies},

url = {https://www.vismd.de/wp-content/uploads/legacy/hille201893.pdf, PDF Download},

doi = {https://doi.org/10.1016/j.cmpb.2017.12.013},

issn = {0169-2607},

year  = {2018},

date = {2018-01-01},

journal = {Computer Methods and Programs in Biomedicine},

volume = {155},

pages = {93 - 99},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Behrendt_2018_EuroVIS,

title = {Explorative Blood Flow Visualization using Dynamic Line Filtering based on Surface Features},

author = {Benjamin Behrendt and Philipp Berg and Oliver Beuing and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/legacy/behrendt_2018_eurovis.pdf, PDF Download

https://www.youtube.com/watch?v=BZGP-HlFo3U, YouTube},

doi = {10.1111/cgf.13411},

issn = {1467-8659},

year  = {2018},

date = {2018-01-01},

journal = {Computer Graphics Forum},

volume = {37},

number = {3},

pages = {183-194},

publisher = {The Eurographics Association and John Wiley & Sons Ltd.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Saalfeld_2017_cg,

title = {The FAUST Framework: Free-Form Annotations on Unfolding Vascular Structures for Treatment Planning},

author = {Patrick Saalfeld and Sylvia Glaßer and Oliver Beuing and Bernhard Preim},

url = {https://www.vismd.de/wp-content/uploads/legacy/saalfeld_2017_cg.pdf, PDF Download},

doi = {http://doi.org/10.1016/j.cag.2017.03.003},

issn = {0097-8493},

year  = {2017},

date = {2017-04-01},

journal = {Computers & Graphics},

volume = {65},

pages = {12 - 21},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Saalfeld_2017_CGF,

title = {Guidelines for Quantitative Evaluation of Medical Visualizations on the Example of 3D Aneurysm Surface Comparisons},

author = {Patrick Saalfeld and Maria Luz and Philipp Berg and Bernhard Preim and Sylvia Saalfeld},

url = {https://www.vismd.de/wp-content/uploads/legacy/saalfeld_2017_cgf.pdf, PDF Download},

year  = {2017},

date = {2017-01-01},

journal = {Computer Graphics Forum},

volume = {37},

number = {1},

pages = {226--238},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Berg_2017_Neurintsurg,

title = {Does the DSA reconstruction kernel affect hemodynamic predictions in intracranial aneurysms? An analysis of geometry and blood flow variations},

author = {Philipp Berg and Sylvia Saalfeld and Samuel Voß and T Redel and Bernhard Preim and Gabor Janiga and Oliver Beuing},

url = {https://www.vismd.de/wp-content/uploads/legacy/berg_2017_neurintsurg.pdf, PDF Download},

year  = {2017},

date = {2017-01-01},

journal = {J NeuroIntervent Surg)},

pages = {1--7},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Glasser_2017_CGF,

title = {Virtual Inflation of the Cerebral Artery Wall for the Integrated Exploration of OCT and Histology Data},

author = {Sylvia Glaßer and Thomas Hoffmann and Axel Boese and Samuel Voß and Thomas Kalinski and Martin Skalej and Bernhard Preim},

url = {https://www.vismd.de/wp-content/uploads/legacy/glasser_2017_cgf.pdf, PDF Download},

year  = {2017},

date = {2017-01-01},

journal = {Computer Graphics Forum (CGF)},

volume = {36 (8)},

pages = {57--68},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hoffmann_2015_CARS,

title = {Experimental Investigation of Intravascular OCT for Imaging of Intracranial Aneurysms},

author = {Thomas Hoffmann and Sylvia Glaßer and Axel Boese and Knut Brandstädter and Thomas Kalinski and Oliver Beuing and Martin Skalej},

url = {https://www.vismd.de/wp-content/uploads/legacy/hoffmann_2015_cars.pdf, PDF Download},

year  = {2016},

date = {2016-01-01},

booktitle = {Proc. of CARS},

journal = {International Journal of Computer Assisted Radiology and Surgery (IJCARS)},

volume = {11 (2)},

pages = {231--241},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pliske2016,

title = {Objective quantification of the vocal fold vascular pattern: comparison of narrow band imaging and white light endoscopy},

author = {Gerald Pliske and Susanne Voigt-Zimmermann and Sylvia Glaßer and Christoph Arens},

url = {https://www.vismd.de/wp-content/uploads/legacy/pliske2016.pdf, PDF Download},

year  = {2016},

date = {2016-01-01},

journal = {European Archives of Oto-Rhino-Laryngology},

pages = {1--7},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Glasser_2016_BIO,

title = {From Imaging to Hemodynamics – How Reconstruction Kernels Influence the Blood Flow Predictions in Intracranial Aneurysms},

author = {Sylvia Glaßer and Philipp Berg and Samuel Voß and S Serowy and Gabor Janiga and Bernhard Preim and Oliver Beuing},

url = {https://www.vismd.de/wp-content/uploads/legacy/glasser_2016_bio.pdf, PDF Download},

year  = {2016},

date = {2016-01-01},

journal = {Current Directions in Biomedical Engineering},

volume = {2 (1)},

pages = {679--683},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hille201622,

title = {Hybrid Level-Sets for Vertebral Body Segmentation in Clinical Spine MRI},

author = {Georg Hille and Sylvia Glaßer and Klaus-Dietz Tönnies},

url = {https://www.vismd.de/wp-content/uploads/legacy/hille201622.pdf, PDF Download},

doi = {http://dx.doi.org/10.1016/j.procs.2016.07.005},

issn = {1877-0509},

year  = {2016},

date = {2016-01-01},

journal = {Procedia Computer Science},

volume = {90},

pages = {22 - 27},

abstract = {Abstract In clinical routine, spine pathologies can be most often deduced from the vertebral body shape, position and orientation. Additionally, per-vertebra spatial information could be used in intervention planning and surgical navigation. Especially in vertebral metastasis treatment, MRI is inalienable, and therefore, segmentation methods are developed for spine MRI. Our approach starts with a simple user-assisted initialization Then intensity and edge features are combined for a subsequent hybrid level-set segmentation. We evaluated our method on highly anisotropic clinical routine spine MRI datasets, containing 34 vertebrae, both healthy and pathological. We achieved a 3D Dice coefficient of 84.8% and a mean surface-to-surface distance of 1.29 ± 0.42 mm with regard to a manually created ground truth segmentation. The main advantages of our method are precise segmentation results on clinical routine images within reasonable processing time and with minimal user interaction.},

note = {20th Conference on Medical Image Understanding and Analysis (MIUA 2016)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hoffmann2015,

title = {Intravascular Optical Coherence Tomography (OCT) as an Additional Tool for the Assessment of Stent Structures},

author = {Thomas Hoffmann and Axel Boese and Sylvia Glaßer and Oliver Beuing and Martin Skalej},

url = {https://www.vismd.de/wp-content/uploads/legacy/hoffmann2015.pdf, PDF Download},

year  = {2015},

date = {2015-01-01},

journal = {Current Directions in Biomedical Engineering, },

volume = {1(1)},

pages = {257--260},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Klemm_2015_TVCG,

title = {3D Regression Heat Map Analysis of Population Study Data},

author = {Paul Klemm and Kai Lawonn and Sylvia Glaßer and Uli Niemann and Katrin Hegenscheid and Henry Völzke and Bernhard Preim},

url = {https://www.vismd.de/wp-content/uploads/legacy/klemm_2015_tvcg.pdf, PDF Download

https://www.youtube.com/watch?v=diSOEGnZJLM, YouTube},

year  = {2015},

date = {2015-01-01},

journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)},

volume = {22 (1)},

number = {1},

pages = {81--90},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lawonn_2015_TVCG,

title = {Occlusion-free Blood Flow Animation with Wall Thickness Visualization},

author = {Kai Lawonn and Sylvia Glaßer and Anna Vilanova and Bernhard Preim and Tobias Isenberg},

url = {https://www.vismd.de/wp-content/uploads/legacy/lawonn_2015_tvcg.pdf, PDF Download

https://www.youtube.com/watch?v=aIS4_iaNCWk, YouTube},

year  = {2015},

date = {2015-01-01},

journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)},

volume = {22 (1)},

number = {1},

pages = {728--737},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Glasser_2014_tvcg,

title = {Combined Visualization of Wall Thickness and Wall Shear Stress for the Evaluation of Aneurysms},

author = {Sylvia Glaßer and Kai Lawonn and Thomas Hoffmann and Martin Skalej and Bernhard Preim},

url = {https://www.vismd.de/wp-content/uploads/legacy/glasser_2014_tvcg.pdf, PDF Download},

year  = {2014},

date = {2014-01-01},

journal = {IEEE Transactions on Visualization and Computer Graphics (TVCG)},

pages = {2506--2515},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Preim_2012_JOR,

title = {Computer-aided diagnosis in breast DCE-MRI-Quantification of the heterogeneity of breast lesions},

author = {Uta Preim and Sylvia Glaßer and Bernhard Preim and Frank Fischbach and Jens Ricke},

url = {https://www.vismd.de/wp-content/uploads/legacy/preim_2012_jor.pdf, PDF Download},

doi = {10.1016/j.ejrad.2011.04.045},

year  = {2012},

date = {2012-01-01},

journal = {European Journal of Radiology},

volume = {81},

number = {7},

pages = {1532--1538},

institution = {Institut für Simulation und Graphik <Magdeburg> / Universitätsklinik für Radiologie und Nuklearmedizin <Magdeburg>},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Schaefer_2011_BMVA,

title = {Local similarity measures for lesion registration in DCE-MRI of the breast},

author = {Sebastian Schäfer and Uta Preim and Sylvia Glaßer and Bernhard Preim and Klaus-Dietz Tönnies},

url = {https://www.vismd.de/wp-content/uploads/legacy/schaefer_2011_bmva.pdf, PDF Download},

year  = {2011},

date = {2011-12-01},

journal = {Annals of the BMVA},

volume = {3},

pages = {1--13},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Preim_2011_Radio,

title = {Computer-Aided Diagnosis in Breast DCE-MRI - Quantification of the Heterogeneity of Breast Lesions},

author = {Uta Preim and Sylvia Glaßer and Bernhard Preim and Frank Fischbachand Jens Ricke},

url = {https://www.vismd.de/wp-content/uploads/legacy/preim_2011_radio.pdf, PDF Download},

year  = {2011},

date = {2011-01-01},

journal = {European Journal of Radiology},

pages = {to appear},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Glasser_2010_CGb,

title = {A visual analytics approach to diagnosis of breast DCE-MRI data},

author = {Sylvia Glaßer and Uta Preim and Klaus-Dietz Tönnies and Bernhard Preim},

year  = {2010},

date = {2010-01-01},

journal = {Computer and Graphics},

volume = {34(5)},

pages = {602--611},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Glasser_2010_CGF,

title = {Automatic Transfer Function Specification for Visual Emphasis of Coronary Artery Plaque},

author = {Sylvia Glaßer and Steffen Oeltze and Anja Hennemuth and Christoph Kubisch and Andreas Mahnken and S Wilhelmsen and Bernhard Preim},

url = {https://www.vismd.de/wp-content/uploads/legacy/glasser_2010_cgf.pdf, PDF Download

https://www.youtube.com/watch?v=fpR_SOQQx5U, YouTube},

year  = {2010},

date = {2010-00-01},

journal = {Computer Graphics Forum},

volume = {29 (1)},

number = {1},

pages = {191--201},

keywords = {},

pubstate = {published},

tppubtype = {article}

}