Automated Techniques for the Interpretation of Fetal Abnormalities: A Review. (10th June 2018)

• Record Type: Journal Article
• Authors: Rawat, Vidhi; Jain, Alok; Shrimali, Vibhakar
• Other Names: Zaffagnini Stefano Academic Editor.
• Is Part Of: Applied bionics and biomechanics. Volume 2018(2018)
• Publication Date: 2018-06-10
• Subjects: Bionics -- Periodicals; Biomechanics -- Periodicals; Biomedical engineering -- Periodicals; 003.505
• DOI: 10.1155/2018/6452050
• Languages: English
• ISSNs: 1176-2322

Abstract

Abstract : Ultrasound (US) image segmentation methods, focusing on techniques developed for fetal biometric parameters and nuchal translucency, are briefly reviewed. Ultrasound medical images can easily identify the fetus using segmentation techniques and calculate fetal parameters. It can timely find the fetal abnormality so that necessary action can be taken by the pregnant woman. Firstly, a detailed literature has been offered on fetal biometric parameters and nuchal translucency to highlight the investigation approaches with a degree of validation in diverse clinical domains. Then, a categorization of the bibliographic assessment of recent research effort in the segmentation field of ultrasound 2D fetal images has been presented. The fetal images of high-risk pregnant women have been taken into the routine and continuous monitoring of fetal parameters. These parameters are used for detection of fetal weight, fetal growth, gestational age, and any possible abnormality detection.