Site Effects in Multisite Fetal Brain MRI: A Morphological Study of Early Brain Development

被引:1
作者
Xu, Xinyi [1 ]
Xu, Haoan [1 ]
Zheng, Tianshu [1 ]
Wang, Yutian [1 ]
Zhou, Chi [1 ]
Xiao, Jiaxin [1 ,2 ]
Chen, Ruike [1 ]
Li, Mingyang [1 ]
Sun, Cong [3 ]
Kong, Xianglei [4 ]
Zhu, Qingqing [4 ]
Yu, Hong [5 ]
Yan, Guohui [6 ]
Zou, Yu [6 ]
Wang, Jingshi [5 ]
Wang, Guangbin [7 ]
Wu, Dan [1 ]
机构
[1] Zhejiang Univ, Dept Biomed Engn, Coll Biomed Engn & Instrument Sci, 38 Zheda Rd, Hangzhou, Peoples R China
[2] Kings Coll London, Sch Biomed Engn & Imaging Sci, Fac Life Sci & Med, London, England
[3] Chinese Acad Med Sci, Beijing Hosp, Inst Geriatr Med, Natl Ctr Gerontol,Dept Radiol, Beijing, Peoples R China
[4] Zhejiang Univ, Sir Run Run Shaw Hosp, Dept Radiol, Sch Med, Hangzhou, Peoples R China
[5] Dalian Municipal Women & Childrens Med Ctr Grp, Dalian, Peoples R China
[6] Zhejiang Univ, Womens Hosp, Dept Radiol, Sch Med, Hangzhou, Peoples R China
[7] Shandong First Med Univ, Shandong Prov Hosp, Dept Radiol, Jinan, Shandong, Peoples R China
来源
12TH ASIAN-PACIFIC CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING, VOL 1, APCMBE 2023 | 2024年 / 103卷
关键词
Multisite; Fetal brain; Morphological development; Harmonization; Cortical thickness; CORTICAL DEVELOPMENT; THICKNESS; PATTERNS; SCANNER;
D O I
10.1007/978-3-031-51455-5_16
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Studies have shown that the non-biological site-related effects may induce bias in multisite neuroimaging studies among adults and adolescents. It is unknown how site effects would affect fetal brain MRI and which acquisition factors are critical in quantitative analysis. In this study, we identified site effects, including manufacture, field strength, in-plane resolution, and slice thickness on structural subcortical volume and cortical thickness measurements in normal fetuses. We also showed these site effects could be effectively removed with ComBat-GAM while preserving developmental patterns indicating that the harmonization procedure is necessary when combing multisite imaging data to study fetal brain morphological development.
引用
收藏
页码:131 / 139
页数:9
相关论文
共 18 条
  • [1] On the Influence of Confounding Factors in Multisite Brain Morphometry Studies of Developmental Pathologies: Application to Autism Spectrum Disorder
    Auzias, G.
    Takerkart, S.
    Deruelle, C.
    [J]. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2016, 20 (03) : 810 - 817
  • [2] Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain
    Avants, B. B.
    Epstein, C. L.
    Grossman, M.
    Gee, J. C.
    [J]. MEDICAL IMAGE ANALYSIS, 2008, 12 (01) : 26 - 41
  • [3] CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING
    BENJAMINI, Y
    HOCHBERG, Y
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) : 289 - 300
  • [4] Delayed Cortical Development in Fetuses with Complex Congenital Heart Disease
    Clouchoux, C.
    du Plessis, A. J.
    Bouyssi-Kobar, M.
    Tworetzky, W.
    McElhinney, D. B.
    Brown, D. W.
    Gholipour, A.
    Kudelski, D.
    Warfield, S. K.
    McCarter, R. J.
    Robertson, R. L., Jr.
    Evans, A. C.
    Newburger, J. W.
    Limperopoulos, C.
    [J]. CEREBRAL CORTEX, 2013, 23 (12) : 2932 - 2943
  • [5] Quantitative in vivo MRI measurement of cortical development in the fetus
    Clouchoux, Cedric
    Kudelski, Dimitri
    Gholipour, Ali
    Warfield, Simon K.
    Viseur, Sophie
    Bouyssi-Kobar, Marine
    Mari, Jean-Luc
    Evans, Alan C.
    du Plessis, Adre J.
    Limperopoulos, Catherine
    [J]. BRAIN STRUCTURE & FUNCTION, 2012, 217 (01) : 127 - 139
  • [6] An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI
    Ebner, Michael
    Wang, Guotai
    Li, Wenqi
    Aertsen, Michael
    Patel, Premal A.
    Aughwane, Rosalind
    Melbourne, Andrew
    Doel, Tom
    Dymarkowski, Steven
    De Coppi, Paolo
    David, Anna L.
    Deprest, Jan
    Ourselin, Sebastien
    Vercauteren, Tom
    [J]. NEUROIMAGE, 2020, 206
  • [7] Harmonization of cortical thickness measurements across scanners and sites
    Fortin, Jean-Philippe
    Cullen, Nicholas
    Sheline, Yvette I.
    Taylor, Warren D.
    Aselcioglu, Irem
    Cook, Philip A.
    Adams, Phil
    Cooper, Crystal
    Fava, Maurizio
    McGrath, Patrick J.
    McInnis, Melvin
    Phillips, Mary L.
    Trivedi, Madhukar H.
    Weissman, Myrna M.
    Shinohara, Russell T.
    [J]. NEUROIMAGE, 2018, 167 : 104 - 120
  • [8] A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth
    Gholipour, Ali
    Rollins, Caitlin K.
    Velasco-Annis, Clemente
    Ouaalam, Abdelhakim
    Akhondi-Asl, Alireza
    Afacan, Onur
    Ortinau, Cynthia M.
    Clancy, Sean
    Limperopoulos, Catherine
    Yang, Edward
    Estroff, Judy A.
    Warfield, Simon K.
    [J]. SCIENTIFIC REPORTS, 2017, 7
  • [9] Early Folding Patterns and Asymmetries of the Normal Human Brain Detected from in Utero MRI
    Habas, Piotr A.
    Scott, Julia A.
    Roosta, Ahmad
    Rajagopalan, Vidya
    Kim, Kio
    Rousseau, Francois
    Barkovich, A. James
    Glenn, Orit A.
    Studholme, Colin
    [J]. CEREBRAL CORTEX, 2012, 22 (01) : 13 - 25
  • [10] Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer
    Han, Xiao
    Jovicich, Jorge
    Salat, David
    van der Kouwe, Andre
    Quinn, Brian
    Czanner, Silvester
    Busa, Evelina
    Pacheco, Jenni
    Albert, Marilyn
    Killiany, Ronald
    Maguire, Paul
    Rosas, Diana
    Makris, Nikos
    Dale, Anders
    Dickerson, Bradford
    Fischl, Bruce
    [J]. NEUROIMAGE, 2006, 32 (01) : 180 - 194