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Computer-Aided Fetal Cardiac Scanning using 2D Ultrasound: Perspectives of Fetal Heart Biometry

Computer-Aided Fetal Cardiac Scanning using 2D Ultrasound: Perspectives of Fetal Heart Biometry

N. Sriraam, S. Vijayalakshmi, S. Suresh
Copyright: © 2012 |Volume: 1 |Issue: 1 |Pages: 13
ISSN: 2161-1610|EISSN: 2161-1629|EISBN13: 9781466615335|DOI: 10.4018/ijbce.2012010101
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MLA

Sriraam, N., et al. "Computer-Aided Fetal Cardiac Scanning using 2D Ultrasound: Perspectives of Fetal Heart Biometry." IJBCE vol.1, no.1 2012: pp.1-13. http://doi.org/10.4018/ijbce.2012010101

APA

Sriraam, N., Vijayalakshmi, S., & Suresh, S. (2012). Computer-Aided Fetal Cardiac Scanning using 2D Ultrasound: Perspectives of Fetal Heart Biometry. International Journal of Biomedical and Clinical Engineering (IJBCE), 1(1), 1-13. http://doi.org/10.4018/ijbce.2012010101

Chicago

Sriraam, N., S. Vijayalakshmi, and S. Suresh. "Computer-Aided Fetal Cardiac Scanning using 2D Ultrasound: Perspectives of Fetal Heart Biometry," International Journal of Biomedical and Clinical Engineering (IJBCE) 1, no.1: 1-13. http://doi.org/10.4018/ijbce.2012010101

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Abstract

Fetal heart biometry is an indicator for providing information about the presence of heart chambers, their growth, and well being. As a clinical routine, ultrasonic scanning based fetal biometry is performed during the second trimester by skilled specialists. Such procedures are often considered tedious and time consuming. Detection of congenital heart abnormalities, such as septal defects, affects the proper functioning of the heart during the growth of the fetus, and such defects can be identified if the fetal heart structure and its features like size, shape, and symmetry are monitored. Recently, attempts have been made to provide computer-aided automated procedure where the performance depends on the efficacy of the developed algorithms. This work focuses on computer aided automated fetal cardiac scanning using 2-D ultrasonic imaging from fetal heart biometry. The process involves extracting frames from the cine-loop sequences followed by removal of noise using morphological filters. The chamber region is recognized by introducing automated region of interest (ROI). Experimental simulation study demonstrates the efficiency of algorithm in detecting the shape of each chamber. The identified chamber shape will further facilitate in automated measurement of fetal heart chamber and thus reduces the qualitative visualization errors.

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