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DOI | 10.1016/j.neuroimage.2014.05.044 |
Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements | |
Tustison, Nicholas J.1; Cook, Philip A.2; Klein, Arno3; Song, Gang2; Das, Sandhitsu R.2; Duda, Jeffrey T.2; Kandel, Benjamin M.2; van Strien, Niels3,4; Stone, James R.1; Gee, James C.2; Avants, Brian B.2 | |
通讯作者 | Tustison, Nicholas J. |
来源期刊 | NEUROIMAGE
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ISSN | 1053-8119 |
EISSN | 1095-9572 |
出版年 | 2014 |
卷号 | 99页码:166-179 |
英文摘要 | Many studies of the human brain have explored the relationship between cortical thickness and cognition, phenotype, or disease. Due to the subjectivity and time requirements in manual measurement of cortical thickness, scientists have relied on robust software tools for automation which facilitate the testing and refinement of neuroscientific hypotheses. The most widely used tool for cortical thickness studies is the publicly available, surface-based FreeSurfer package. Critical to the adoption of such tools is a demonstration of their reproducibility, validity, and the documentation of specific implementations that are robust across large, diverse imaging datasets. To this end, we have developed the automated, volume-based Advanced Normalization Tools (ANTs) cortical thickness pipeline comprising well-vetted components such as SyGN (multivariate template construction), SyN (image registration), N4 (bias correction), Atropos (n-tissue segmentation), and DiReCT (cortical thickness estimation). In this work, we have conducted the largest evaluation of automated cortical thickness measures in publicly available data, comparing FreeSurfer and ANTs measures computed on 1205 images from four open data sets (IXI, MMRR, NKI, and OASIS), with parcellation based on the recently proposed Desikan-Killiany-Tourville (DKT) cortical labeling protocol. We found good scan rescan repeatability with both FreeSurfer and ANTs measures. Given that such assessments of precision do not necessarily reflect accuracy or an ability to make statistical inferences, we further tested the neurobiological validity of these approaches by evaluating thickness-based prediction of age and gender. ANTs is shown to have a higher predictive performance than FreeSurfer for both of these measures. In promotion of open science, we make all of our scripts, data, and results publicly available which complements the use of open image data sets and the open source availability of the proposed ANTs cortical thickness pipeline. (C) 2014 Elsevier Inc All rights reserved. |
英文关键词 | Advanced Normalization Tools Age prediction MRI Gender prediction Open science Scientific reproducibility |
类型 | Article |
语种 | 英语 |
国家 | USA ; Norway |
收录类别 | SCI-E |
WOS记录号 | WOS:000339860000018 |
WOS关键词 | AUTOMATED 3-D EXTRACTION ; SURFACE-BASED ANALYSIS ; HUMAN CEREBRAL-CORTEX ; HUMAN BRAIN ; INTENSITY NONUNIFORMITY ; ALZHEIMERS-DISEASE ; MR-IMAGES ; T MRI ; SEGMENTATION ; VOLUME |
WOS类目 | Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging |
WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/183982 |
作者单位 | 1.Univ Virginia, Dept Radiol & Med Imaging, Charlottesville, VA USA; 2.Univ Penn, Penn Image Comp & Sci Lab, Philadelphia, PA 19104 USA; 3.Sage Bionetworks, Seattle, WA USA; 4.Norwegian Univ Sci & Technol, Dept Circulat & Med Imaging, N-7034 Trondheim, Norway |
推荐引用方式 GB/T 7714 | Tustison, Nicholas J.,Cook, Philip A.,Klein, Arno,et al. Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements[J],2014,99:166-179. |
APA | Tustison, Nicholas J..,Cook, Philip A..,Klein, Arno.,Song, Gang.,Das, Sandhitsu R..,...&Avants, Brian B..(2014).Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements.NEUROIMAGE,99,166-179. |
MLA | Tustison, Nicholas J.,et al."Large-scale evaluation of ANTs and FreeSurfer cortical thickness measurements".NEUROIMAGE 99(2014):166-179. |
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