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

被引:31
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
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