We are happy that our four submissions for the workshop on image processing in medicine were accepted for presentation.
The paper “Adapted Spectral Clustering for Evaluation and Classification of DCE-MRI Breast Tumors” by Sylvia Glaßer and colleagues introduces a spectral clustering approach for breast tumor data. The clustering parameters are automatically derived such that the clustering results can be employed for an automatic classification into benign and malignant breast lesions.
The paper “Socio-demographic and Medical Attribute Data in Cohort Studies” by Paul Klemm and colleagues proposes an alternative approach for analyzing significant interactions for identifying risk factors in epidemiological cohort study data by incorporating clustering algorithms with a Visual Analytics system to form subject groups. This is the basis for an exploratory analysis of the underlying parameter interactions. With the presented system, groups can be automatically determined to provide insights into this complex data.
The paper “Illustrative Visualization of Endoscopic Views” was prepared by Kai Lawonn and colleagues and deals with the application of illustrative line renderings on endoscopic views. Different line drawing concepts were examined and the ability to represent interior branches as well as specific anatomic features was assessed.
The paper “Measurement of the Stratum Radiatum/Lacunosum-Moleculare (SRLM)” was prepared by Steffen Oeltze and colleagues. Alzheimer disease (AD) at an early stage is characterized by a synaptic loss and atrophy in the apical layer of the CA1 part of the hippocampus, the stratum radiatum and stratum lacunosum-moleculare (SRLM). In cooperation with the Institute of Cognitive Neurology and Dementia Research at the University of Magdeburg and the German Center for Neurodegenerative Diseases (Standort Magdeburg) a new approach to measuring SRLM thickness in 7Tesla MR-images was developed.