Why the study?
Previous fetal echocardiography studies mainly focused on single cardiac chamber segmentation, which does not provide sufficient information for CHD diagnosis.
A novel instance segmentation approach enables simultaneous and accurate segmentation of four cardiac chambers in fetal echocardiography, potentially aiding in the diagnosis of congenital heart disease.
May aid automated fetal CHD detection; leaves open prospective clinical validation before practice adoption.
Accurate segmentation of cardiac chambers is helpful for the diagnosis of Congenital Heart Disease (CHD) in fetal echocardiography. Previous studies mainly focused on single cardiac chamber segmentation, which cannot provide sufficient information for the cardiologists. In this paper, we present an instance segmentation approach capable of segmenting four cardiac chambers accurately and simultaneously. A novel object proposal recovery strategy is further deployed to retrieve possible missing objects. To alleviate the shortage of medical data and further improve the segmentation performance, we utilize a rotation and distortion method for data augmentation. Experiments on a fetal echocardiography dataset of 319 fetuses demonstrate that the proposed approach can achieve superior performance according to common-used evaluation metrics.Clinical relevance-This can be used to help the cardiologists to better analyze the structure and function of the fetal heart.
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An et al. (2021) studied this question.
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