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Balázs Faludi,Marek Żelechowski,Maria Licci et al. Balázs Faludi et al.
Purpose: Planning highly complex surgeries in virtual reality (VR) provides a user-friendly and natural way to navigate volumetric medical data and can improve the sense of depth and scale. Using ray marching-based volume...
Lukas Herzberger,Markus Hadwiger,Robert Kruger et al. Lukas Herzberger et al.
We present a hybrid multi-volume rendering approach based on a novel Residency Octree that combines the advantages of out-of-core volume rendering using page tables with those of standard octrees. Octree approaches work by performing hierarchical tree traversal....We enable flexible mixed-resolution out-of-core multi-volume rendering by decoupling the cache residency of multi-resolution data from a resolution-independent spatial subdivision determined by the tree.
Shin-Ting Wu,Raphael Voltoline,Wallace Loos et al. Shin-Ting Wu et al.
In this paper, we share the process we went through to reach our simple, but effective, solution for integrating multi-volume rendering into an exploratory visualization environment for the diagnosis of FCD. We focus on fetching of multiple data assigned to a sample when they are rendered.
Mohammadmehdi Bozorgi,Frank Lindseth Mohammadmehdi Bozorgi
Results: The multi-volume rendering system achieved an interactive frame rate (> 15 fps) when rendering five small volumes (128 (3) voxels), four medium-sized volumes (256(3) voxels), and two large volumes (512(3) voxels).
Rostislav Khlebnikov,Bernhard Kainz,Judith Muehl et al. Rostislav Khlebnikov et al.
Using this metaphor, we propose several ways to compute the safety of paths from the region of interest to all tumor voxels and show how this information can be visualized in real-time using a multi-volume rendering system.
Yang Mo Yoo,Ravi Managuli,Yongmin Kim Yang Mo Yoo
In this paper, we present a new multi-volume rendering technique (i.e., progressive fusion) to combine 3D anatomical structures from B-mode imaging and flow information from power Doppler imaging....We have evaluated the progressive-fusion multi-volume rendering method with the phantom and in vivo data acquired using a commercial ultrasound machine (EUB-8500, Hitachi Medical Corporation, Japan) with a 3.5 MHz mechanical probe.
Jinman Kim,Weidong Cai,Stefan Eberl et al. Jinman Kim et al.
This technique is then incorporated into a real-time multi-volume rendering of PET/CT images. Our method allows a real-time fusion and interchangeability of segmentation volume with PET or CT volumes, as well as the usual fusion of PET/CT volumes.
J J Jacq,C J Roux J J Jacq
We present a new method for direct volume rendering of multiple three-dimensional (3-D) functions using a density emitter model. This work aims at obtaining visual assessment of the results of a 3-D image registration algorithm which operat...