TY - JOUR
T1 - Consistent reconstruction of cortical surfaces from longitudinal brain MR images
AU - Li, Gang
AU - Nie, Jingxin
AU - Wu, Guorong
AU - Wang, Yaping
AU - Shen, Dinggang
N1 - Funding Information:
The BLSA dataset used in this paper was provided by Dr. Susan Resnick and Dr. Christos Davatzikos. The authors would like to thank the anonymous reviewers for providing constructive suggestions that improved this paper. This work was supported in part by NIH grants EB006733, EB008374 and MH088520.
Funding Information:
Data collection and sharing for this project was funded by the Alzheimer's Disease Neuroimaging Initiative (ADNI) (National Institutes of Health Grant U01 AG024904 ). ADNI is funded by the National Institute on Aging , the National Institute of Biomedical Imaging and Bioengineering , and through generous contributions from the following: Abbott , AstraZeneca AB , Bayer Schering Pharma AG , Bristol-Myers Squibb , Eisai Global Clinical Development , Elan Corporation , Genentech , GE Healthcare , GlaxoSmithKline , Innogenetics , Johnson and Johnson , Eli Lilly and Co. , Medpace, Inc. , Merck and Co., Inc. , Novartis AG , Pfizer Inc. , F. Hoffman-La Roche , Schering-Plough, Synarc, Inc., as well as non-profit partners the Alzheimer's Association and Alzheimer's Drug Discovery Foundation , with participation from the U .S. Food and Drug Administration . Private sector contributions to ADNI are facilitated by the Foundation for the National Institutes of Health ( www.fnih.org ). The grantee organization is the Northern California Institute for Research and Education , and the study is coordinated by the Alzheimer's Disease Cooperative Study at the University of California, San Diego. ADNI data are disseminated by the Laboratory for Neuro Imaging at the University of California, Los Angeles. This research was also supported by NIH grants P30 AG010129, K01 AG030514 , and the Dana Foundation .
PY - 2012/2/15
Y1 - 2012/2/15
N2 - Accurate and consistent reconstruction of cortical surfaces from longitudinal human brain MR images is of great importance in studying longitudinal subtle change of the cerebral cortex. This paper presents a novel deformable surface method for consistent and accurate reconstruction of inner, central and outer cortical surfaces from longitudinal brain 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, which is 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 of the group-mean image to all longitudinal images. The proposed method has been successfully applied to two sets of longitudinal human brain MR images. Both qualitative and quantitative experimental results demonstrate the accuracy and consistency of the proposed method. Furthermore, the reconstructed longitudinal cortical surfaces are used to measure the longitudinal changes of cortical thickness in both normal and diseased groups, where the overall decline trend of cortical thickness has been clearly observed. Meanwhile, the longitudinal cortical thickness also shows its potential in distinguishing different clinical groups.
AB - Accurate and consistent reconstruction of cortical surfaces from longitudinal human brain MR images is of great importance in studying longitudinal subtle change of the cerebral cortex. This paper presents a novel deformable surface method for consistent and accurate reconstruction of inner, central and outer cortical surfaces from longitudinal brain 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, which is 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 of the group-mean image to all longitudinal images. The proposed method has been successfully applied to two sets of longitudinal human brain MR images. Both qualitative and quantitative experimental results demonstrate the accuracy and consistency of the proposed method. Furthermore, the reconstructed longitudinal cortical surfaces are used to measure the longitudinal changes of cortical thickness in both normal and diseased groups, where the overall decline trend of cortical thickness has been clearly observed. Meanwhile, the longitudinal cortical thickness also shows its potential in distinguishing different clinical groups.
KW - Cortical surface reconstruction
KW - Longitudinal cortical surface
KW - Longitudinal cortical thickness
UR - http://www.scopus.com/inward/record.url?scp=84855245595&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2011.11.012
DO - 10.1016/j.neuroimage.2011.11.012
M3 - Article
C2 - 22119005
AN - SCOPUS:84855245595
SN - 1053-8119
VL - 59
SP - 3805
EP - 3820
JO - NeuroImage
JF - NeuroImage
IS - 4
ER -
