Diffusion tensor model based smoothing
Proceedings IEEE International Symposium on Biomedical Imaging - Trang 705-708
Tóm tắt
We provide a unified framework for smoothing noisy brain image data along attributes of choice derived from diffusion tensor imaging. The framework is based on a variational segmentation functional approach that outputs smoothed regions within the white matter that are relatively homogeneous with respect to specific diffusion tensor image properties. The smoothed tensor fields and the associated edge fields are recovered in a number of ways, thus illustrating the applicability of the proposed unified framework for smoothing and feature extraction in support of the anatomic identification of white matter fiber systems in the human brain.
Từ khóa
#Tensile stress #Smoothing methods #Diffusion tensor imaging #Brain #Image segmentation #Magnetic resonance imaging #Feature extraction #Humans #Data visualization #Anisotropic magnetoresistanceTài liệu tham khảo
desai, 2002, Functional MRJ activity characterization using robust non-Gaussian detection and curve evolution, C S Draper Laboratory Report P-3903
10.1109/VLSM.2001.938885
10.1016/S1361-8415(00)00030-X
desai, 2002, Model based variational smoothing and segmentation for diffusion tensor imaging in the brain, C S Draper Laboratory Report P-3992
basser, 1996, Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRl J Magn Reson BIll, 209
10.1002/ana.410420617
10.1016/S0896-6273(00)80911-3
10.1073/pnas.96.18.10422
10.1006/nimg.2001.0765
10.1109/CVPR.1996.517065
10.1002/1531-8249(199902)45:2<265::AID-ANA21>3.0.CO;2-3
10.1001/archpsyc.56.4.367
10.1148/radiology.212.3.r99se24785
10.1142/S0218001497000573