Toward the automatic quantification of in utero brain development in 3D structural MRI: A review. Issue 5 (14th February 2017)

• Record Type: Journal Article
• Authors: Benkarim, Oualid M.; Sanroma, Gerard; Zimmer, Veronika A.; Muñoz‐Moreno, Emma; Hahner, Nadine; Eixarch, Elisenda; Camara, Oscar; González Ballester, Miguel Angel; Piella, Gemma
• Is Part Of: Human brain mapping. Volume 38:Issue 5(2017)
• Page Start: 2772
• Page End: 2787
• Publication Date: 2017-02-14
• Subjects: quantitative MRI -- fetal brain -- spatiotemporal atlas -- segmentation -- growth pattern -- volumetry -- gyrification -- ventriculomegaly; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.23536
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: 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, spatio‐temporal modeling of the developing brain, segmentation, quantification techniques, and clinical applications. Hum Brain Mapp 38:2772–2787, 2017 . ©2017 Wiley Periodicals, Inc.