DSpace Kolekce:
http://hdl.handle.net/11025/6177
2024-03-29T14:51:40ZSegmentation of Hemodynamics from Dynamic- Susceptibility-Contrast Magnetic Resonance Brain Images Using Sequential Independent Component Analysis
http://hdl.handle.net/11025/6573
Název: Segmentation of Hemodynamics from Dynamic- Susceptibility-Contrast Magnetic Resonance Brain Images Using Sequential Independent Component Analysis
Autoři: Wu, Yu-Te; Chen, Hui-Yun; Hung, Chih-I; Yi-Hsuan, Kao; Guo, Wan-Yuo; Yeh, Tzu-Chen; Hsieh, Jen-Chuen
Editoři: Skala, Václav
Abstrakt: Dynamic-susceptibility-contrast magnetic resonance imaging, a popular perfusion imaging technique, records
signal changes on images caused by the passage of contrast-agent particles in the human brain after a bolus
injection of contrast agent. The temporal signal changes on different brain tissues characterize distinct blood
supply patterns which are critical for the profound analysis of cerebral hemodynamics. Under the assumption of
the spatial independence among these patterns, independent component analysis (ICA) was applied to segment
different tissues, i.e., artery, gray matter, white matter, vein and sinus and choroids plexus, so that the spatio-
temporal hemodynamics of these tissues were decomposed and analyzed. An arterial input function was modeled
using the concentration-time curve of the arterial area for the deconvolution calculation of relative cerebral blood
flow. The cerebral hemodynamic parameters, such as relative cerebral blood volume (rCBV), relative cerebral
blood flow (rCBF), and relative mean transit time (rMTT), were computed and their averaged ratios between
gray matter and white matter were in good agreement with those in the literature.2004-01-01T00:00:00ZWu, Yu-TeChen, Hui-YunHung, Chih-IYi-Hsuan, KaoGuo, Wan-YuoYeh, Tzu-ChenHsieh, Jen-ChuenNon Conventional 3D Human Face Verification System
http://hdl.handle.net/11025/6572
Název: Non Conventional 3D Human Face Verification System
Autoři: Zimmermann, A. C.; Encinas, L. S.; Gonçalves, A. A.; Barreto, J. M.
Editoři: Skala, Václav2004-01-01T00:00:00ZZimmermann, A. C.Encinas, L. S.Gonçalves, A. A.Barreto, J. M.Improving Depth Maps by Nonlinear Diffusion
http://hdl.handle.net/11025/6571
Název: Improving Depth Maps by Nonlinear Diffusion
Autoři: Yin, Jianfeng; Cooperstock, Jeremy R.
Editoři: Skala, Václav
Abstrakt: Dense depth maps, typically produced by stereo algorithms, are essential for various computer vision applications.
For general configurations in which the cameras are not necessarily parallel or close together, it often proves
difficult to obtain reasonable results for complex scenes, in particular in occluded or textureless regions. To
improve the depth map in such regions, we propose a post-processing method and illustrate its benefits to
applications such as 3D reconstruction or foreground segmentation of a user in a scene.2004-01-01T00:00:00ZYin, JianfengCooperstock, Jeremy R.Blending implicit shapes using smooth unit step functions
http://hdl.handle.net/11025/6570
Název: Blending implicit shapes using smooth unit step functions
Autoři: Li, Qingde
Editoři: Skala, Václav
Abstrakt: In constructive solid geometry (CSG), highly smooth and manageable blending operations are always desirable. In
this paper, we propose two novel ways to blend implicitly defined geometric objects using smooth unit step func-
tions. With the proposed techniques, not only is it direct to build an implicit blending operation with controllable
blending range, but also the blending operation can be constructed to whatever level of smoothness. In addition,
the mathematical descriptions of the techniques are quite simple and elegant.2004-01-01T00:00:00ZLi, Qingde