Key result
This study provides a primitive survey of ultrasonic imaging-oriented segmentation techniques for the detection and recognition of all four fetal cardiac chambers.
Why the study?
Recognition of fetal cardiac chambers through ultrasonic Doppler imaging presents a major challenge for clinicians, creating a need to review automated segmentation techniques.
This survey highlights the current state and challenges of automated segmentation techniques for detecting fetal cardiac chambers in ultrasound imaging.
Techniques for automated fetal cardiac chamber segmentation remain limited; leaves open the need for prospective clinical validation.
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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V. et al. (2019) conducted a review in Fetal cardiac chamber detection. Ultrasonic imaging-oriented segmentation techniques was evaluated on Detection and recognition of fetal cardiac chambers. This study provides a primitive survey of ultrasonic imaging-oriented segmentation techniques for the detection and recognition of all four fetal cardiac chambers.
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