A Primitive Survey on Ultrasonic Imaging-Oriented Segmentation Techniques for Detection of Fetal Cardiac Chambers

A Primitive Survey on Ultrasonic Imaging-Oriented Segmentation Techniques for Detection of Fetal Cardiac Chambers

Punya Prabha V., Sriraam N.
ISBN13: 9781668475447|ISBN10: 1668475448|EISBN13: 9781668475454
DOI: 10.4018/978-1-6684-7544-7.ch074
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MLA

Prabha V., Punya, and Sriraam N. "A Primitive Survey on Ultrasonic Imaging-Oriented Segmentation Techniques for Detection of Fetal Cardiac Chambers." Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, edited by Information Resources Management Association, IGI Global, 2023, pp. 1455-1466. https://doi.org/10.4018/978-1-6684-7544-7.ch074

APA

Prabha V., P. & Sriraam N. (2023). A Primitive Survey on Ultrasonic Imaging-Oriented Segmentation Techniques for Detection of Fetal Cardiac Chambers. In I. Management Association (Ed.), Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention (pp. 1455-1466). IGI Global. https://doi.org/10.4018/978-1-6684-7544-7.ch074

Chicago

Prabha V., Punya, and Sriraam N. "A Primitive Survey on Ultrasonic Imaging-Oriented Segmentation Techniques for Detection of Fetal Cardiac Chambers." In Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention, edited by Information Resources Management Association, 1455-1466. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-7544-7.ch074

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Abstract

Recognition of presence of fetal cardiac chambers through ultrasonic Doppler imaging poses a huge challenge for the clinical community. The four-chamber view and outflow tracts are found to be a potential identity marker for presence of all heart chambers as well as current states of fetal heart. Given the cine loop ultrasonic imaging sequences, computer-aided diagnostic tools have been developed to detect and measures the chambers through automated mode. Segmentation and region of interest identification process contribute significantly towards the presence of heart chamber and presence of abnormality. This study provides a primitive survey towards the ultrasonic imaging-oriented segmentation techniques for detection/recognition of all four fetal cardiac chambers. The challenges for the biomedical community were also reported.

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