Mid-callosal plane determination using preferred directions from diffusion tensor images

André L. Costa; Letícia Rittner; Roberto A. Lotufo; Simone Appenzeller

doi:10.1117/12.2082497

17 March 2015 Mid-callosal plane determination using preferred directions from diffusion tensor images

André L. Costa, Letícia Rittner, Roberto A. Lotufo, Simone Appenzeller

Proceedings Volume 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging; 94172A (2015) https://doi.org/10.1117/12.2082497
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

The corpus callosum is the major brain structure responsible for inter{hemispheric communication between neurons. Many studies seek to relate corpus callosum attributes to patient characteristics, cerebral diseases and psychological disorders. Most of those studies rely on 2D analysis of the corpus callosum in the mid-sagittal plane. However, it is common to find conflicting results among studies, once many ignore methodological issues and define the mid-sagittal plane based on precary or invalid criteria with respect to the corpus callosum. In this work we propose a novel method to determine the mid-callosal plane using the corpus callosum internal preferred diffusion directions obtained from diffusion tensor images. This plane is analogous to the mid-sagittal plane, but intended to serve exclusively as the corpus callosum reference. Our method elucidates the great potential the directional information of the corpus callosum fibers have to indicate its own referential. Results from experiments with five image pairs from distinct subjects, obtained under the same conditions, demonstrate the method effectiveness to find the corpus callosum symmetric axis relative to the axial plane.

Citation Download Citation

André L. Costa, Letícia Rittner, Roberto A. Lotufo, and Simone Appenzeller "Mid-callosal plane determination using preferred directions from diffusion tensor images", Proc. SPIE 9417, Medical Imaging 2015: Biomedical Applications in Molecular, Structural, and Functional Imaging, 94172A (17 March 2015); https://doi.org/10.1117/12.2082497

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