» Articles » PMID: 34891903

Simultaneous Segmentation of Four Cardiac Chambers in Fetal Echocardiography

Overview
Date 2021 Dec 11
PMID 34891903
Citations 1
Authors
Affiliations
Soon will be listed here.
Abstract

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.

Citing Articles

Automatic Identification of Ultrasound Images of the Tibial Nerve in Different Ankle Positions Using Deep Learning.

Kawanishi K, Kakimoto A, Anegawa K, Tsutsumi M, Yamaguchi I, Kudo S Sensors (Basel). 2023; 23(10).

PMID: 37430769 PMC: 10222534. DOI: 10.3390/s23104855.