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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Maddah, M., Kubicki, M., Wells, W. M., Westin, C. F., Shenton, M. E., & Grimson, W. E. L. (2008). Findings in schizophrenia by tract-oriented DT-MRI analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5241 LNCS, pp. 917–924). https://doi.org/10.1007/978-3-540-85988-8_109
Mendeley helps you to discover research relevant for your work.