Corpus callosum parcellation methods: a quantitative comparative study

Mariana Pereira; Giovana Cover; Simone Appenzeller; Leticia Rittner

doi:10.1117/12.2296617

12 March 2018 Corpus callosum parcellation methods: a quantitative comparative study

Mariana Pereira, Giovana Cover , Simone Appenzeller, Leticia Rittner

Proceedings Volume 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging; 1057817 (2018) https://doi.org/10.1117/12.2296617
Event: SPIE Medical Imaging, 2018, Houston, Texas, United States

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.

Conference Presentation

Citation Download Citation

Mariana Pereira, Giovana Cover , Simone Appenzeller, and Leticia Rittner "Corpus callosum parcellation methods: a quantitative comparative study", Proc. SPIE 10578, Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1057817 (12 March 2018); https://doi.org/10.1117/12.2296617

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available