Article

Consistent reconstruction of cortical surfaces from longitudinal brain MR images

Authors:

Dinggang ShenAuthors Info & Claims

MICCAI'11: Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II

Pages 671 - 679

Published: 18 September 2011 Publication History

Abstract

Accurate and consistent reconstruction of cortical surfaces from longitudinal human brain MR images is of great importance in studying subtle morphological changes of the cerebral cortex. This paper presents a new deformable surface method for consistent and accurate reconstruction of inner, central and outer cortical surfaces from longitudinal MR images. Specifically, the cortical surfaces of the group-mean image of all aligned longitudinal images of the same subject are first reconstructed by a deformable surface method driven by a force derived from the Laplace's equation. And then the longitudinal cortical surfaces are consistently reconstructed by jointly deforming the cortical surfaces from the group-mean image to all longitudinal images. The proposed method has been successfully applied to both simulated and real longitudinal images, demonstrating its validity.

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Cited By

Yu YWang QHu HSu SWang Z(2018)Multi-Atlas Based Early Prediction of Post-Traumatic Stress DisorderProceedings of the 2nd International Symposium on Image Computing and Digital Medicine10.1145/3285996.3286012(69-72)Online publication date: 13-Oct-2018
https://dl.acm.org/doi/10.1145/3285996.3286012

Consistent reconstruction of cortical surfaces from longitudinal brain MR images
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
  2. Computer graphics

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Published In

cover image Guide Proceedings

MICCAI'11: Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II

September 2011

687 pages

ISBN:9783642236280

Editors:
Gabor Fichtinger
Queen's University, Kingston, ON, Canada
,
Anne Martel
Sunnybrook Research Institute, Toronto, ON, Canada
,
Terry Peters
Robarts Research Institute, London, ON, Canada

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 18 September 2011

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Cited By

Yu YWang QHu HSu SWang Z(2018)Multi-Atlas Based Early Prediction of Post-Traumatic Stress DisorderProceedings of the 2nd International Symposium on Image Computing and Digital Medicine10.1145/3285996.3286012(69-72)Online publication date: 13-Oct-2018
https://dl.acm.org/doi/10.1145/3285996.3286012

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