Findings in Schizophrenia by Tract-Oriented DT-MRI Analysis

Authors:
Mahnaz Maddah;Marek Kubicki;William M. Wells;Carl-Fredrik Westin;Martha E. Shenton;W. Eric Grimson
Affiliations:
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, , Cambridge, USA;Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA and Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston ...;Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA;Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA;Psychiatry Neuroimaging Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston, USA and Surgical Planning Laboratory, Brigham and Women's Hospital, Harvard Medical School, Boston ...;Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, , Cambridge, USA
Venue:
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Year:
2008

Citing 2
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Abstract

This paper presents a tract-oriented analysis of diffusion tensor (DT) images of the human brain. We demonstrate that unlike the commonly used ROI-based methods for population studies, our technique is sensitive to the local variation of diffusivity parameters along the fiber tracts. We show the strength of the proposed approach in identifying the differences in schizophrenic data compared to controls. Statistically significant drops in fractional anisotropy are observed along the genu and bilaterally in the splenium, as well as an increase in principal eigenvalue in uncinate fasciculus. This is the first tract-oriented clinical study in which an anatomical atlas is used to guide the algorithm.