The effectiveness of geometry features on multi-resolution diffeomorphic demons registration in the implementation of human cortex surface parcellation

Wen Li; Luis Ibanez; Nancy C Andreasen; Vincent A Magnotta

doi:10.1109/ISBI.2011.5872475

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Conference proceeding

The effectiveness of geometry features on multi-resolution diffeomorphic demons registration in the implementation of human cortex surface parcellation

Wen Li, Luis Ibanez, Nancy C Andreasen and Vincent A Magnotta

2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.586-589

03/2011

DOI: 10.1109/ISBI.2011.5872475

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Abstract

Fast automated labeling of the human cerebral cortex remains a challenging problem. We have implemented a completely automated pipeline to analyze brain morphology. For labeling of the cerebral cortex, a spherical diffeomorphic demons registration is used to drive an atlas surface into correspondence with the subject surface. This study focuses on identifying features or combination of features that will provide optimal correspondence between the atlas and subject. A multi-resolution scheme is used for the surface registration procedure. The roles of anatomical features in multi-resolution surface registration have been evaluated by using them across all resolutions of the registration procedure as well as combining them from low to high anatomical detail corresponding to the registration refinement. We found that combining features from low to high anatomical features provided the best automated labeling of the surface. The mean Dice metric for the four lobar regions studied was 0.85 using the combined features.

Geometry

Measurement

similarity index

Humans

Surface morphology

surface parcellation

automated labeling

Human cerebral cortex

Surface roughness

Labeling

spherical demons registration

Surface treatment

Details

Title: Subtitle: The effectiveness of geometry features on multi-resolution diffeomorphic demons registration in the implementation of human cortex surface parcellation
Creators: Wen Li - Dept. of Radiol., Univ. of Iowa, Iowa City, IA, USA
Luis Ibanez - Kitware Inc., Clifton Park, NY, USA
Nancy C Andreasen - Dept. of Psychiatry, Univ. of Iowa, Iowa City, IA, USA
Vincent A Magnotta - Dept. of Radiol., Univ. of Iowa, Iowa City, IA, USA
Resource Type: Conference proceeding
Publication Details: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, pp.586-589
Publisher: IEEE
DOI: 10.1109/ISBI.2011.5872475
ISSN: 1945-7928
eISSN: 1945-8452
Language: English
Date published: 03/2011
Academic Unit: Iowa Neuroscience Institute; Psychiatry; Roy J. Carver Department of Biomedical Engineering; Radiology
Record Identifier: 9984066133402771

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