Bibliographies:
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bibliography_DTI.html : Selected references on diffusion-weighted and diffusion tensor MRI

bibliography_PerfuVis.pdf : Selected references on the visual analysis of perfusion data

bibliography_SoftTissueDef.html : Related work: Selected references on soft tissue simulation

bibliography_VesselVis.pdf : Selected references on the visualization of vasculature

bibliography_VirtualEndoscopyMedMixedReality.html : Selected references on  Virtual Endoscopy 
	and Medical Mixed Reality

bibliography_VolRen.html : Selected references on Volume Rendering
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Videos:
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[1] Oeltze06_myoPerf.avi : Time-sequence illustrating myocardial perfusion. The injected contrast
	agent (bright regions) first arrives in the right ventricle, then travels through the
	left ventricular lumen and finally arrives in the myocardium (ring-shaped area). A 
	perfusion defect appears in the septal region (large dark area, lower left) where no 
	contrast agent is accumulated. (Magnetic Resonance Perfusion data was provided by 
	M. Fenchel, S. Miller and A. Seeger, Max Planck MR-center, University of Tübingen, Germany)

[2] Oeltze06-BEP_picking.avi : Anatomy and myocardial perfusion of a patient suffering from 
	atherosclerosis. Upper left: Apical slice of the original perfusion data set and the 
	AHA-consistent division of the myocardium overlaid. Upper right: Apical slice of the 
	parameter volume computed for the dynamic parameter up-slope. Middle left: Bull’s-Eye 
	Plot (BEP) which color-codes the parameter up-slope. Segment 17 is missing since no slice 
	has been acquired at the apex itself. Lower left: Time-intensity curves corresponding 
	to the selected BEP segments. Lower Right: Coronary branch supplying the selected 
	segments. The user is guided through the scene by means of animations instead of being 
	confronted only with the interaction results. (Computed Tomography Coronary Angiography
	data was provided by Dr. Achenbach, Department of Radiology, University of Erlangen-
	Nürnberg, Germany and SIEMENS Medical Solutions. Magnetic Resonance Perfusion data 
	was provided by M. Fenchel, S. Miller and A. Seeger, Max Planck MR-center, University 
	of Tübingen, Germany)

- related talk: Preim, Bernhard - Visual Analysis of Perfusion Data (vis06-05-perfu_vis.pdf)

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[3] Oeltze06-VesselVis_Comparison_Iso_TruncCones_ConvSurf.avi : Portal vein inside a human liver 
	together with a tumor (lower left). Comparison of the visualization of vasculature by 
	means of isosurface rendering (upper left), the concatenation of truncated cones along 
	the vessel skeleton (upper right) and Convolution Surfaces (lower right). The latter 
	two methods are model-based approaches which visualize vasculature based on the 
	corresponding vessel skeleton and associated radius information. In close-up views, the 
	isosurface rendering exhibits nasty stair case artifacts while the truncated cone approach 
	shows creases and shading discontinuities at branchings. However, the Convolution surface 
	appears smooth and organic even at branchings. (Image analysis results were provided
	by Milo Hindennach, MeVis Research Center, Bremen, Germany)  
 
- related talk: Oeltze, Steffen - Visualization of Vasculature (vis06-08-vessel_vis.pdf)

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[4] Mezger06_liver96-quadr_blend02.avi : a liver is simulated with real measured material parameters 
	using quadratic finite elements. Different styles from normal shading, wireframe and 
	pressure color coding are shown during the simulation. Apparently very few elements are 
	necessary for a high quality simulation compared to linear elements.

[5] teaserWMedia8_14_14_liver.wmv : a liver ist simulated with real measured parameters. On the left hand
	side a linear finite element model, on the right hand side a spring-damper system is used. 
	One can clearly notice the instabilities and the rubber like behaviour for the spring 
	damper system whereas the finite element model yields stable and visual correct simulations.

- related talk: Wacker, Markus - Soft-Tissue Simulation (vis06-11-soft_tissue_sim.pdf)
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