Link: https://www.ncbi.nlm.nih.gov/pubmed/30390513

Med Image Anal. 2018 Oct 19;51:61-88. doi: 10.1016/j.media.2018.10.003. [Epub ahead of print]
Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects.
Torrents-Barrena J1, Piella G2, Masoller N3, Gratacós E3, Eixarch E3, Ceresa M2, Ballester MÁG4.
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Abstract
Fetal imaging is a burgeoning topic. New advancements in both magnetic resonance imaging and (3D) ultrasound currently allow doctors to diagnose fetal structural abnormalities such as those involved in twin-to-twin transfusion syndrome, gestational diabetes mellitus, pulmonary sequestration and hypoplasia, congenital heart disease, diaphragmatic hernia, ventriculomegaly, etc. Considering the continued breakthroughs in utero image analysis and (3D) reconstruction models, it is now possible to gain more insight into the ongoing development of the fetus. Best prenatal diagnosis performances rely on the conscious preparation of the clinicians in terms of fetal anatomy knowledge. Therefore, fetal imaging will likely span and increase its prevalence in the forthcoming years. This review covers state-of-the-art segmentation and classification methodologies for the whole fetus and, more specifically, the fetal brain, lungs, liver, heart and placenta in magnetic resonance imaging and (3D) ultrasound for the first time. Potential applications of the aforementioned methods into clinical settings are also inspected. Finally, improvements in existing approaches as well as most promising avenues to new areas of research are briefly outlined.

KEYWORDS:
Classification; Fetal (3D) ultrasound; Fetal magnetic resonance imaging; Fetal structural abnormalities; Heart; In utero image analysis; Liver; Lungs; Placenta; Segmentation

PMID: 30390513 DOI: 10.1016/j.media.2018.10.003