Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation

作     者：Schoemaker, Dorothee Buss, Claudia Head, Kevin Sandman, Curt A. Davis, Elysia P. Chakravarty, M. Mallar Gauthier, Serge Pruessner, Jens C. 

作者机构：McGill Univ McGill Ctr Studies Aging Montreal PQ Canada McGill Univ Douglas Hosp Res Ctr Dept Psychiat Montreal PQ Canada Univ Calif Irvine Irvine CA USA Charite Berlin Germany Univ Denver Denver CO 80208 USA McGill Univ Dept Biomed Engn Montreal PQ Canada 

出 版 物：《NEUROIMAGE》 (神经图像)

年 卷 期：2016年第129卷第0期

页      面：1-14页

核心收录：

学科分类：1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 1010[医学-医学技术（可授医学、理学学位）] 1009[医学-特种医学] 10[医学] 

基　　金：NIH [R01 HD 50662, R01 HD 51852, P50 MH 096889] Fonds de recherche du Quebec - Sante (FRQS) FRQS Chercheur National National Institute of Mental Health [P50MH096889] Funding Source: NIH RePORTER 

主　　题：Segmentation techniques Pediatric population Hippocampus Amygdala FSL-FIRST FreeSurfer 

摘      要：The volumetric quantification of brain structures is of great interest in pediatric populations because it allows the investigation of different factors influencing neurodevelopment. FreeSurfer and FSL both provide frequently used packages for automatic segmentation of brain structures. In this study, we examined the accuracy and consistency of those two automated protocols relative to manual segmentation, commonly considered as the gold standard technique, for estimating hippocampus and amygdala volumes in a sample of preadolescent children aged between 6 to 11 years. The volumes obtained with FreeSurfer and FSL-FIRST were evaluated and compared with manual segmentations with respect to volume difference, spatial agreement and between-and within-method correlations. Results highlighted a tendency for both automated techniques to overestimate hippocampus and amygdala volumes, in comparison to manual segmentation. This was more pronounced when using FreeSurfer than FSL-FIRST and, for both techniques, the over estimation was more marked for the amygdala than the hippocampus. Pearson correlations support moderate associations between manual tracing and FreeSurfer for hippocampus (right r = 0.69, p 0.001;left r = 0.77, p 0.001) and amygdala (right r = 0.61, p 0.001;left r = 0.67, p 0.001) volumes. Correlation coefficients between manual segmentation and FSL-FIRST were statistically significant (right hippocampus r = 0.59, p 0.001;left hippocampus r = 0.51, p 0.001;right amygdala r = 0.35, p 0.001;left amygdala r = 0.31, p 0.001) but were significantly weaker, for all investigated structures. When computing intraclass correlation coefficients between manual tracing and automatic segmentation, all comparisons, except for left hippocampus volume estimated with FreeSurfer, failed to reach 0.70. When looking at each method separately, correlations between left and right hemispheric volumes showed strong associations between bilateral hippocampus and bilater