Share Email Print

Proceedings Paper

Corpus callosum parcellation methods: a quantitative comparative study
Author(s): Mariana Pereira; Giovana Cover ; Simone Appenzeller; Leticia Rittner
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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.

Paper Details

Date Published: 12 March 2018
PDF: 6 pages
Proc. SPIE 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1057817 (12 March 2018); doi: 10.1117/12.2296617
Show Author Affiliations
Mariana Pereira, Univ. Estadual de Campinas (Brazil)
Giovana Cover , Univ. Estadual de Campinas (Brazil)
Simone Appenzeller, Univ. Estadual de Campinas (Brazil)
Leticia Rittner, Univ. Estadual de Campinas (Brazil)

Published in SPIE Proceedings Vol. 10578:
Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging
Barjor Gimi; Andrzej Krol, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?