Interactive Translation in Echocardiography Training System With Enhanced Cycle-GAN

Interactive translation in echocardiography training system refers to the pixel-wise translation between ultrasound cardiac and theoretical sketch images in the course of hand-on operation. It is capable of efficiently gaining more insights into clinical ultrasound anatomy. However, major studies on...

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Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.106147-106156
Main Authors: Teng, Long, Fu, Zhongliang, Yao, Yu
Format: Article
Language:English
Subjects:
Computed tomography
computer vision
Echocardiography
Gallium nitride
generative adversarial network (GAN)
Image processing
Image segmentation
interactive translation
Magnetic resonance imaging
medical image analysis
Synthesis
Training
Ultrasonic imaging
Ultrasound
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Summary:Interactive translation in echocardiography training system refers to the pixel-wise translation between ultrasound cardiac and theoretical sketch images in the course of hand-on operation. It is capable of efficiently gaining more insights into clinical ultrasound anatomy. However, major studies on the synthesis of ultrasound cardiac image primarily discuss the physical model simulation, while studies on cardiac image segmentation place an emphasis on image processing. Thus, they cannot be easily integrated into one pipeline for interactive translation. This paper presents an enhanced Cycle-GAN for interactive translation. Perceptual loss is introduced to enhance the quality of synthetic ultrasound texture, while Cycle-GAN translates between two modalities. The proposed method is trained on 300 pair images and tested on 68 pair images. As revealed from the experiment results, the proposed method is feasible in interactive translation, and it is superior over Cycle-GAN for ultrasound image synthesis.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3000666