Arid
DOI10.1016/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
ISSN1053-8119
EISSN1095-9572
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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Tustison, Nicholas J.]的文章
[Cook, Philip A.]的文章
[Klein, Arno]的文章
百度学术
百度学术中相似的文章
[Tustison, Nicholas J.]的文章
[Cook, Philip A.]的文章
[Klein, Arno]的文章
必应学术
必应学术中相似的文章
[Tustison, Nicholas J.]的文章
[Cook, Philip A.]的文章
[Klein, Arno]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。