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The Classification and Segmentation of Fetal Anatomies Ultrasound Image: A Survey

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Ultrasound imaging processing technology has been used in obstetric observation of the fetus and diagnosis of fetal diseases for more than half a century. It contains certain advantages and unique challenges which has been developed rapidly. From the perspective of ultrasound image analysis, at the very beginning, it is essential to determine fetal survival, gestational age and so on. Currently, the fetal anatomies ultrasound image analysis approaches have been studies and it has become an indispensable diagnostic tool for diagnosing fetal abnormalities, in order to gain more insight into the ongoing development of the fetus. Presently, it is the time to review previous approaches systematically in this field and to predict the directions of the future. Thus, this article reviews state-of-art approaches with the basic ideas, theories, pros and cons of ultrasound image technique for whole fetus with other anatomies. First of all, it summarizes the current pending problems and introduces the popular image processing methods, such as classification, segmentation etc. After that, the advantages and disadvantages in existing approaches as well as new research ideas are briefly discussed. Finally, the challenges and future trend are discussed.

Keywords: 2D Ultrasound Image; Anatomies; Classification and Segmentation; Computer-Aided Diagnosis; Fetal

Document Type: Research Article

Affiliations: 1: State Key Laboratory of Software Development Environment, Beihang University, Beijing, 100191, China 2: Obstetrics and Gynecology, Wuxi People’s Hospital, Wuxi, Jiangsu, 214023, China 3: BOE Technology Group Co. Ltd., Beijing, 100176, China 4: Department of Computer Science, Liverpool John Moores University, Liverpool, L3 3AF, UK

Publication date: 01 March 2021

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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