An automated pipeline for cortical surface generation and registration of the cerebral cortex

Wen Li; Luis Ibanez; Arnaud Gelas; B. T. Thomas Yeo; Marc Niethammer; Nancy C. Andreasen; Vincent A. Magnotta

doi:10.1117/12.876509

11 March 2011 An automated pipeline for cortical surface generation and registration of the cerebral cortex

Wen Li, Luis Ibanez, Arnaud Gelas, B. T. Thomas Yeo, Marc Niethammer, Nancy C. Andreasen, Vincent A. Magnotta

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 796229 (2011) https://doi.org/10.1117/12.876509
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

The human cerebral cortex is one of the most complicated structures in the body. It has a highly convoluted structure with much of the cortical sheet buried in sulci. Based on cytoarchitectural and functional imaging studies, it is possible to segment the cerebral cortex into several subregions. While it is only possible to differentiate the true anatomical subregions based on cytoarchitecture, the surface morphometry aligns closely with the underlying cytoarchitecture and provides features that allow the surface of the cortex to be parcellated based on the sulcal and gyral patterns that are readily visible on the MR images. We have developed a fully automated pipeline for the generation and registration of cortical surfaces in the spherical domain. The pipeline initiates with the BRAINS AutoWorkup pipeline. Subsequently, topology correction and surface generation is performed to generate a genus zero surface and mapped to a sphere. Several surface features are then calculated to drive the registration between the atlas surface and other datasets. A spherical diffeomorphic demons algorithm is used to co-register an atlas surface onto a subject surface. A lobar based atlas of the cerebral cortex was created from a manual parcellation of the cortex. The atlas surface was then co-registered to five additional subjects using a spherical diffeomorphic demons algorithm. The labels from the atlas surface were warped on the subject surface and compared to the manual raters. The average Dice overlap index was 0.89 across all regions.

Citation Download Citation

Wen Li, Luis Ibanez, Arnaud Gelas, B. T. Thomas Yeo, Marc Niethammer, Nancy C. Andreasen, and Vincent A. Magnotta "An automated pipeline for cortical surface generation and registration of the cerebral cortex", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796229 (11 March 2011); https://doi.org/10.1117/12.876509

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