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Proceedings Paper

Retrospective processing of DTI tractography to compensate for partial volume effects
Author(s): Darryl Hwang; Aarti Shetty; Amrita Rajagopalan; Manbir Singh
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Paper Abstract

Partial volume effects are one of the most common sources of error in diffusion tensor imaging (DTI) tractography. For example, in data from older subjects or Alzheimer's disease probable subjects, the situation is especially exacerbated around the dilated ventricle, which causes erroneous merging of tracts. Rescanning the subject at higher resolution is the best solution, but often times unattainable. We offer a retrospective filtering algorithm, which is purely subtractive, based on a region of interest (ROI) filtering methodology that filters tracts by their shape and seed points. The ROIs are defined using both anatomic images and fractional anisotropy (FA) maps in normalized space allowing for consistency across all subjects. Our algorithm helps correct the partial volume effects by reducing the overestimation of tract length, giving a more accurate regional tract count. The objective of our retrospective algorithm is reclamation of data sets from partial volume effects.

Paper Details

Date Published: 29 March 2007
PDF: 8 pages
Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 651124 (29 March 2007); doi: 10.1117/12.710213
Show Author Affiliations
Darryl Hwang, Univ. of Southern California (United States)
Aarti Shetty, Univ. of Southern California (United States)
Amrita Rajagopalan, Univ. of Southern California (United States)
Manbir Singh, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 6511:
Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
Armando Manduca; Xiaoping P. Hu, Editor(s)

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