Paper Info
Title
A Closed-Form Method For Improving Inter-Subject Coherence In Diffusion Tensor Magnetic Resonance Imaging
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 accomodate 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.
Year
DOI
Venue
2004
10.1109/ISBI.2004.1398836
2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 and 2
Keywords
Field
DocType
least squares approximation,image registration,diffusion tensor,tensors,outlier detection,magnetic resonance image,anisotropic magnetoresistance,tensile stress,physiological noise,image analysis,diffusion tensor imaging
Computer vision,Diffusion MRI,Pattern recognition,Tensor,Computer science,Coherence (physics),Artificial intelligence,Communication noise,Corpus callosum,Image registration,Splenium,Magnetic resonance imaging
Conference
Citations 
PageRank 
References 
0
0.34
3
Authors
3
Name
Order
Citations
PageRank
Nicholas T. Lange1122.06
Derek K. Jones265548.55
Carlo Pierpaoli346748.78