Iterative Co-linearity Filtering and Parameterization of Fiber Tracts in the Entire Cingulum

Authors:
Marius Groot;Meike W. Vernooij;Stefan Klein;Alexander Leemans;Renske Boer;Aad Lugt;Monique M. Breteler;Wiro J. Niessen
Affiliations:
Biomedical Imaging Group Rotterdam, Departments of Radiology and, Medical Informatics, Erasmus MC, Rotterdam, the Netherlands;Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands and Department of Radiology, Erasmus MC, Rotterdam, the Netherlands;Biomedical Imaging Group Rotterdam, Departments of Radiology and, Medical Informatics, Erasmus MC, Rotterdam, the Netherlands;Image Sciences Institute, University Medical Center Utrecht, the Netherlands and CUBRIC, School of Psychology, Cardiff University, United Kingdom;Biomedical Imaging Group Rotterdam, Departments of Radiology and, Medical Informatics, Erasmus MC, Rotterdam, the Netherlands and Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands;Department of Radiology, Erasmus MC, Rotterdam, the Netherlands;Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands;Biomedical Imaging Group Rotterdam, Departments of Radiology and, Medical Informatics, Erasmus MC, Rotterdam, the Netherlands and Imaging Science and Technology, Faculty of Applied Sciences, Delft ...
Venue:
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Year:
2009

Citing 2
Cited 0

Finsler tractography for white matter connectivity analysis of the cingulum bundle

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines

IEEE Transactions on Image Processing

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Abstract

We present a method for the fully automated extraction of the cingulum using diffusion tensor imaging (DTI) data. We perform whole-brain tractography and initialize tract selection in the cingulum with a registered DTI atlas. Tracts are parameterized from which tract co-linearity is derived. The tract set, filtered on the basis of co-linearity with the cingulum shape, yields an improved segmentation of the cingulum and is subsequently optimized in an iterative fashion to further improve the tract selection. We evaluate the method using a large DTI database of 500 subjects from the general population and show robust extraction of tracts in the entire cingulate bundle in both hemispheres. We demonstrate the use of the extracted fiber-tracts to compare left and right cingulate bundles. Our asymmetry analysis shows a higher fractional anisotropy in the left anterior part of the cingulum compared to the right side, and the opposite effect in the posterior part.