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DOI | 10.3389/fnins.2016.00236 |
Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields | |
Hadj-Hamou, Mehdi; Lorenzi, Marco; Ayache, Nicholas; Pennec, Xavier | |
通讯作者 | Hadj-Hamou, Mehdi |
来源期刊 | FRONTIERS IN NEUROSCIENCE
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ISSN | 1662-453X |
出版年 | 2016 |
卷号 | 10 |
英文摘要 | We propose and detail a deformation-based morphometry computational framework, called Longitudinal Log-Demons Framework (LLDF), to estimate the longitudinal brain deformations from image data series, transport them in a common space and perform statistical group-wise analyses. It is based on freely available software and tools, and consists of three main steps: (i) Pre-processing, (ii) Position correction, and (iii) Non-linear deformation analysis. It is based on the LOC log-Demons non-linear symmetric diffeomorphic registration algorithm with an additional modulation of the similarity term using a confidence mask to increase the robustness with respect to brain boundary intensity artifacts. The pipeline is exemplified on the longitudinal Open Access Series of Imaging Studies (OASIS) database and all the parameters values are given so that the study can be reproduced. We investigate the group-wise differences between the patients with Alzheimer’s disease and the healthy control group, and show that the proposed pipeline increases the sensitivity with no decrease in the specificity of the statistical study done on the longitudinal deformations. |
英文关键词 | deformation-based morphometry non-linear registration longitudinal study diffeomorphism parametrized by stationary velocity fields statistical analysis reproducible research |
类型 | Article |
语种 | 英语 |
国家 | France |
收录类别 | SCI-E |
WOS记录号 | WOS:000377243300001 |
WOS关键词 | ALZHEIMERS-DISEASE ; BRAIN IMAGES ; AUTOMATIC SEGMENTATION ; MRI DATA ; REGISTRATION ; ATROPHY ; MORPHOMETRY ; ROBUST ; ALGORITHM ; OPTIMIZATION |
WOS类目 | Neurosciences |
WOS研究方向 | Neurosciences & Neurology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/193060 |
作者单位 | INRIA Sophia Antipolis, Asclepios Res Project, Sophia Antipolis, France |
推荐引用方式 GB/T 7714 | Hadj-Hamou, Mehdi,Lorenzi, Marco,Ayache, Nicholas,et al. Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields[J],2016,10. |
APA | Hadj-Hamou, Mehdi,Lorenzi, Marco,Ayache, Nicholas,&Pennec, Xavier.(2016).Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields.FRONTIERS IN NEUROSCIENCE,10. |
MLA | Hadj-Hamou, Mehdi,et al."Longitudinal Analysis of Image Time Series with Diffeomorphic Deformations: A Computational Framework Based on Stationary Velocity Fields".FRONTIERS IN NEUROSCIENCE 10(2016). |
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