DocumentCode :
3548556
Title :
Basis functions for estimating intra-voxel structure in DW-MRI
Author :
Ramfrez-Manzanares, A. ; Rivera, M. ; Vemuri, Baba C. ; Mareci, T.
Author_Institution :
Comput. Sci. Dept., Centro de Investigacion en Matematicas, Guanajuato
Volume :
7
fYear :
2004
fDate :
16-22 Oct. 2004
Firstpage :
4207
Lastpage :
4211
Abstract :
We present a new method for estimating and recovering the intra-voxel fiber paths, using Diffusion Weighted Magnetic Resonance Images (DW-MRI). The method recovers the intra-voxel information at voxels that contain fiber crossings or bifurcations by means of a combination of a known tensor basis functions (a "multi-tensor" field). In contrast with the state-of-the art methods, our formulation requires a small number of DWMR images and the solution schema is simple. Another advantage is that the solution to our formulation is numerically stable when more than two fiber orientations are present within a voxel. Additionally, we apply a spatial regularization to the multi-tensor field being estimated in order to denoise the data. The regularization uses a generic piece-wise smooth prior on the fiber orientation. Several examples are presented to demonstrate the performance of the proposed algorithm on synthetic and real DW-MRI data
Keywords :
biodiffusion; biomedical MRI; brain; neurophysiology; DW-MRI; Diffusion Weighted Magnetic Resonance Images; HARD DWI; bifurcations; brain fiber tractography; denoise; fiber crossings; fiber orientations; generic piece-wise smooth; intra-voxel structure; multitensor field; tensor basis functions; Art; Attenuation; Bifurcation; Computer science; Magnetic resonance; Magnetic resonance imaging; Measurement standards; Signal processing; Telephony; Tensile stress;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium Conference Record, 2004 IEEE
Conference_Location :
Rome
ISSN :
1082-3654
Print_ISBN :
0-7803-8700-7
Electronic_ISBN :
1082-3654
Type :
conf
DOI :
10.1109/NSSMIC.2004.1466819
Filename :
1466819
Link To Document :
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