DocumentCode
2638068
Title
A closed-form method for improving inter-subject coherence in diffusion tensor magnetic resonance imaging
Author
Lange, Nicholas ; Jones, Derek K. ; Pierpaoli, Carlo
Author_Institution
Dept. of Psychiatry & Biostat., Harvard Univ. Sch. of Medicine & Public Health, Boston, MA, USA
fYear
2004
fDate
15-18 April 2004
Firstpage
1506
Abstract
A simple method is presented to reduce within-group inter-subject scatter in diffusion tensor magnetic resonance imaging (DT-MRI). By "borrowing strength" across co-registered subjects to accommodate indirect effects of unmeasured machine and physiological noise, the method reduces voxel-specific tensor variance across subjects. The technique may aid in fiber bundle atlas construction, in testing differences between groups of subjects, and in automated outlier detection. While the technique does not in itself address DT-MRI signal artifact issues directly, it may serve to lessen the effects of these artifacts when their sources have not been measured. An example application to DT-MRI of twelve healthy male volunteers at the splenium of the corpus callosum slightly right of midline demonstrates the possible utility of the method.
Keywords
biomedical MRI; brain; image registration; medical image processing; tensors; DT-MRI signal artifact issues; automated outlier detection; closed-form method; corpus callosum; diffusion tensor magnetic resonance imaging; fiber bundle atlas construction; inter-subject coherence; physiological noise; splenium; unmeasured machine; voxel-specific tensor variance; 1f noise; Anisotropic magnetoresistance; Brain; Diffusion tensor imaging; Eigenvalues and eigenfunctions; Humans; Image analysis; Least squares approximation; Magnetic noise; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN
0-7803-8388-5
Type
conf
DOI
10.1109/ISBI.2004.1398836
Filename
1398836
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