Toward the Automatic Quantification of In Utero Brain Development in 3D Structural MRI: A Review

被引:30
|
作者
Benkarim, Oualid M. [1 ]
Sanroma, Gerard [1 ]
Zimmer, Veronika A. [1 ]
Munoz-Moreno, Emma [2 ,3 ,4 ]
Hahner, Nadine [2 ,3 ]
Eixarch, Elisenda [2 ,3 ]
Camara, Oscar [1 ]
Gonzalez Ballester, Miguel Angel [1 ,5 ]
Piella, Gemma [1 ]
机构
[1] Univ Pompeu Fabra, DTIC, Tanger 122-140, Barcelona 08018, Spain
[2] Univ Barcelona, Fetal Fetal Med Res Ctr i D, BCNatal Barcelona Ctr Maternal Fetal & Neonatal M, Hosp Clin, Barcelona, Spain
[3] Univ Barcelona, IDIBAPS, Hosp St Joan Deu, Barcelona, Spain
[4] IDIBAPS, Inst Invest Biomed August Pi i Sunyer, Expt 7T MRI Unit, Barcelona, Spain
[5] ICREA, Barcelona, Spain
关键词
quantitative MRI; fetal brain; spatiotemporal atlas; segmentation; growth pattern; volumetry; gyrification; ventriculomegaly; FETAL-BRAIN; VOLUME RECONSTRUCTION; SPATIAL NORMALIZATION; SPATIOTEMPORAL ATLAS; CORTICAL DEVELOPMENT; FOLDING PATTERNS; CEREBRAL-CORTEX; TERM-BORN; SEGMENTATION; GROWTH;
D O I
10.1002/hbm.23536
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Investigating the human brain in utero is important for researchers and clinicians seeking to understand early neurodevelopmental processes. With the advent of fast magnetic resonance imaging (MRI) techniques and the development of motion correction algorithms to obtain high-quality 3D images of the fetal brain, it is now possible to gain more insight into the ongoing maturational processes in the brain. In this article, we present a review of the major building blocks of the pipeline toward performing quantitative analysis of in vivo MRI of the developing brain and its potential applications in clinical settings. The review focuses on T1- and T2-weighted modalities, and covers state of the art methodologies involved in each step of the pipeline, in particular, 3D volume reconstruction, spatiotemporal modeling of the developing brain, segmentation, quantification techniques, and clinical applications. (C) 2017 Wiley Periodicals, Inc.
引用
收藏
页码:2772 / 2787
页数:16
相关论文
共 50 条
  • [1] Automatic ROI Selection in Structural Brain MRI Using SOM 3D Projection
    Ortiz, Andres
    Gorriz, Juan M.
    Ramirez, Javier
    Martinez-Murcia, Francisco J.
    PLOS ONE, 2014, 9 (04):
  • [2] Growth trajectories of the human fetal brain tissues estimated from 3D reconstructed in utero MRI
    Scott, Julia A.
    Habas, Riutr A.
    Kim, Kio
    Rajagopalan, Vidya
    Hamzelou, Kia S.
    Corbett-Detig, James M.
    Barkovich, A. James
    Glenn, Orit A.
    Studholme, Colin
    INTERNATIONAL JOURNAL OF DEVELOPMENTAL NEUROSCIENCE, 2011, 29 (05) : 529 - 536
  • [3] Development of the Fetal Brain Structural Connectivity Based on In-Utero Diffusion MRI
    Chen, Ruike
    Xu, Xinyi
    Zhao, Ruoke
    Li, Mingyang
    Sun, Cong
    Wang, Guangbin
    Wu, Dan
    12TH ASIAN-PACIFIC CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING, VOL 1, APCMBE 2023, 2024, 103 : 232 - 237
  • [4] Automatic segmentation and quantification of the optic nerve on MRI using a 3D U-Net
    van Elst, Sabien
    de Bloeme, Christiaan M. M.
    Noteboom, Samantha
    de Jong, Marcus C. C.
    Moll, Annette C. C.
    Goericke, Sophia
    de Graaf, Pim
    Caan, Matthan W. A.
    JOURNAL OF MEDICAL IMAGING, 2023, 10 (03)
  • [5] 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI
    Dubost, Florian
    Adams, Hieab
    Bortsova, Gerda
    Ikram, M. Arfan
    Niessen, Wiro
    Vernooij, Meike
    de Bruijne, Marleen
    MEDICAL IMAGE ANALYSIS, 2019, 51 : 89 - 100
  • [6] Automatic cardiac region-of-interest computation in cine 3D structural MRI
    Cocosco, CA
    Netsch, T
    Sénégas, J
    Bystrov, D
    Niessen, WJ
    Viergever, MA
    CARS 2004: COMPUTER ASSISTED RADIOLOGY AND SURGERY, PROCEEDINGS, 2004, 1268 : 1126 - 1131
  • [7] Prenatal Diagnosis by 3D Ultrasound and MRI of an Unusual Malformation of Cortical Development with Brain-in-Brain Appearance
    Valsecchi, Luca
    Cavoretto, Paolo
    Di Piazza, Lara
    Smid, Maddalena
    Pontesilli, Silvia
    Scotti, Roberta
    Spagnolo, Daniele
    Baldoli, Cristina
    JOURNAL OF CLINICAL ULTRASOUND, 2009, 37 (06) : 354 - 359
  • [8] 3D Brain Tissue Selection and Segmentation from MRI
    Uher, Vaclav
    Burget, Radim
    Masek, Jan
    Dutta, Malay Kishore
    2013 36TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP), 2013, : 839 - 842
  • [9] Automatic Ventriculomegaly Detection in Fetal Brain MRI: A Step-by-Step Deep Learning Model for Novel 2D-3D Linear Measurements
    Vahedifard, Farzan
    Ai, H. Asher
    Supanich, Mark P.
    Marathu, Kranthi K.
    Liu, Xuchu
    Kocak, Mehmet
    Ansari, Shehbaz M.
    Akyuz, Melih
    Adepoju, Jubril O.
    Adler, Seth
    Byrd, Sharon
    DIAGNOSTICS, 2023, 13 (14)
  • [10] An accurate segmentation method for volumetry of brain tumor in 3D MRI
    Wang, Jiahui
    Li, Qiang
    Hirai, Toshinori
    Katsuragawa, Shigehiko
    Li, Feng
    Doi, Kunio
    MEDICAL IMAGING 2008: IMAGE PROCESSING, PTS 1-3, 2008, 6914