Proceedings ArticleDOI
Corpus callosum parcellation methods: a quantitative comparative study
Mariana Mourão de Azevedo Flores Pereira,Giovana S. Cover,Simone Appenzeller,Leticia Rittner +3 more
- Vol. 10578, pp 1057817
TLDR
This work presents a quantitative analysis of different state of art CC parcellation methods aiming to compare their results on a common dataset and shows a significant difference among the same CC parcels, but using different CC par cellation methods, and its impact on the diffusion properties.Abstract:
Corpus Callosum (CC) is the largest white matter structure and it plays a crucial role in clinical and research studies due to its shape and volume correlation to subject’s characteristics and neurodegenerative diseases. CC segmentation and parcellation are an important step for any MRI-based clinical and research study. There is only a few automatic CC parcellation methods proposed in the literature and, since it is not trivial to build a ground truth, most methods are validated qualitatively. We present a quantitative analysis of different state of art CC parcellation methods aiming to compare their results on a common dataset. Our findings show a significant difference among the same CC parcels, but using different CC parcellation methods, and its impact on the diffusion properties.read more
Citations
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Proceedings ArticleDOI
Comparative Study of Deep Learning Models for Segmentation of Corpus Callosum
TL;DR: A comparative study of three deep learning models such as CE- net, UNet++ & MultiResUNet for the segmentation of Corpus Callosum in the Brain MRI images using the dataset acquired from open source ABIDE platform finds CE-Net gave the best dice similarity coefficient score, among all the three Deep Learning models.
References
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Carlo Pierpaoli,Peter J. Basser +1 more
TL;DR: New indices calculated from the entire diffusion tensor are rotationally invariant (RI) and show that anisotropy is highly variable in different white matter regions depending on the degree of coherence of fiber tract directions.
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Journal ArticleDOI
Diffusion tensor imaging of the corpus callosum in Autism
Andrew L. Alexander,Jee Eun Lee,Mariana Lazar,Rebecca Boudos,Molly B. DuBray,Terrence R. Oakes,Judith Miller,Jeffrey K. Lu,Eun Kee Jeong,William M. McMahon,Erin D. Bigler,Janet E. Lainhart +11 more
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