Abstract
Corpus callosum is the greatest white matter structure in brain. It is located beneath the cortex and connects both of two hemispheres, making possible their communication. Corpus callosum shape and size are associated with some subject’s characteristics such as gender, handedness and age, and alterations in its structure have correlation with some diseases and medical conditions. Diffusion MRI allows a further analysis of corpus callosum structure and functionality by accessing neuronal fibers and tissues microstructure using the water diffusion model. However, the corpus callosum segmentation (required initial step to structural analysis) in diffusion MRI is challenging, since no gold-standard is available. In this work, we propose a segmentation evaluation method that relies on the corpus callosum shape by using its shape signature. We were able to evaluate three different segmentations in diffusion MRI over a 145 subjects’ dataset using manual segmentation on T1 as reference.
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Acknowledgements
This work was supported by the Coordination for the Improvement of Higher Education Personnel (CAPES—PROEX 2017). The Program for Partner Graduate Students and National Counsel of Technological and Scientific Development (PEC-PG and CNPq—process 190557/2014-1) and The São Paulo Research Foundation (FAPESP 2013/07559-3).
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Herrera, W.G., Bento, M., Rittner, L. (2019). Corpus Callosum Shape Signature for Segmentation Evaluation. In: Costa-Felix, R., Machado, J., Alvarenga, A. (eds) XXVI Brazilian Congress on Biomedical Engineering. IFMBE Proceedings, vol 70/2. Springer, Singapore. https://doi.org/10.1007/978-981-13-2517-5_22
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DOI: https://doi.org/10.1007/978-981-13-2517-5_22
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