Poster + Paper
7 April 2023 Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies
Author Affiliations +
Conference Poster
Abstract
The Corpus Callosum is the major interhemispheric commisure and, because of its highly organized fibers, it is often studied using diffusion tensor images (DTI). A firstnecessary step for CC studies is its segmentation, preferably automated. Since most available softwares are not able to perform CC volumetric segmentation, and the only ones that do it, are based on T1-weighted images and not DTI, this work presents the extension of an open-source software, called inCCsight, incorporating a DTI-based CC volumetric segmentation method into it. The software is open-source and offers the possibility of incorporating customized plots and integrating other segmentation and/or parcellation methods by the user.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
João Vitor Alcantara, Joany Rodrigues, Paulo Rogério Julio, Simone Appenzeller, and Leticia Rittner "Volumetric corpus callosum segmentation integrated to inCCsight software for supporting DTI-based studies", Proc. SPIE 12465, Medical Imaging 2023: Computer-Aided Diagnosis, 124652X (7 April 2023); https://doi.org/10.1117/12.2654459
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KEYWORDS
Image segmentation

Visualization

Diffusion tensor imaging

Open source software

Quality control

3D displays

Diffusion

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