DMCA
ADNI, “Consistent reconstruction of cortical surfaces from longitudinal brain MR images
| Venue: | Neuroimage |
| Citations: | 8 - 5 self |
BibTeX
@ARTICLE{Li_adni,“consistent,
author = {Gang Li and Jingxin Nie and Dinggang Shen},
title = {ADNI, “Consistent reconstruction of cortical surfaces from longitudinal brain MR images},
journal = {Neuroimage},
year = {}
}
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Abstract
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.
Keyphrases
cortical surface consistent reconstruction longitudinal brain mr image longitudinal image group-mean image great importance subtle morphological change laplace equation cerebral cortex longitudinal mr image accurate reconstruction outer cortical surface longitudinal cortical surface real longitudinal image longitudinal human brain mr deformable surface method new deformable surface method
