NDLI: Adaptive diffusion basis functions decomposition for estimating intra-voxel myocardium fiber geometry

Content Provider	IEEE Xplore Digital Library
Author	Chunyu Chu Wanyu Liu Magnin, I.E. Yuemin Zhu
Copyright Year	2011
Description	Author affiliation: CREATIS; CNRS UMR 5220; Inserm U630, INSA of Lyon, Villeurbanne, France (Magnin, I.E.; Yuemin Zhu) \|\| Sino French Research Center for Biomedical Imaging, Harbin Institute of Technology, Harbin, China (Chunyu Chu; Wanyu Liu)
Abstract	Diffusion basis functions decomposition for recovering intra-voxel fiber tract geometry from diffusion weighted MRI data has been proposed. In this formulation, the intra-voxel information is recovered at voxels containing fiber crossings or branching via the use of a linear combination of a discrete set of diffusion basis functions. Then, the parametric representation of the intra-voxel fiber geometry is described as a discrete mixture of Gaussians. The eigenvalues of tensor basis are estimated at the same time as the rest of the unknown parameters by employing an adaptive approach. The performance of our method is evaluated using both simulated and real diffusion-weighed MR data and compared with existing approach. The results show that our adaptive method outperforms existing method.
Starting Page	96
Ending Page	99
File Size	399977
Page Count	4
File Format	PDF
ISBN	9781424493517
e-ISBN	9781424493524
DOI	10.1109/BMEI.2011.6098324
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Heart Adaptation models Tensile stress diffusion weighted MRI myocardium fiber geometry Magnetic resonance intra-voxel crossing fiber Myocardium Eigenvalues and eigenfunctions adaptive diffusion basis function
Content Type	Text
Resource Type	Article

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