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Open Access Analysis of Coronary Angiography Video Interpolation Methods to Reduce X-ray Exposure Frequency Based on Deep Learning

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This article is Open Access under the terms of the Creative Commons CC BY licence.

Cardiac coronary angiography is a major technique that assists physicians during interventional heart surgery. Under X-ray irradiation, the physician injects a contrast agent through a catheter and determines the coronary arteries’ state in real time. However, to obtain a more accurate state of the coronary arteries, physicians need to increase the frequency and intensity of X-ray exposure, which will inevitably increase the potential for harm to both the patient and the surgeon. In the work reported here, we use advanced deep learning algorithms to find a method of frame interpolation for coronary angiography videos that reduces the frequency of X-ray exposure by reducing the frame rate of the coronary angiography video, thereby reducing X-ray-induced damage to physicians. We established a new coronary angiography image group dataset containing 95,039 groups of images extracted from 31 videos. Each group includes three consecutive images, which are used to train the video interpolation network model. We apply six popular frame interpolation methods to this dataset to confirm that the video frame interpolation technology can reduce the video frame rate and reduce exposure of physicians to X-rays.

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Keywords: X-ray exposure frequency; coronary angiography; deep learning; video interpolation

Document Type: Research Article

Affiliations: 1: The Future Laboratory, Tsinghua University, Chengfu Road 160, Haidian, Beijing, China 2: Center for Cardiology, Beijing Anzhen Hospital, Capital Medical University, Anzhen Road, Beijing, China

Publication date: September 1, 2021

This article was made available online on March 29, 2021 as a Fast Track article with title: "Analysis of Coronary Angiography Video Interpolation Methods to Reduce X-ray Exposure Frequency Based on Deep Learning".

More about this publication?
  • Cardiovascular Innovations and Applications (CVIA) publishes focused articles and original clinical research that explore novel developments in cardiovascular disease, effective control and rehabilitation in cardiovascular disease, and promote cardiovascular innovations and applications for the betterment of public health globally. The journal publishes basic research that has clinical applicability in order to promote timely communication of the latest insights relating to coronary artery disease, heart failure, hypertension, cardiac arrhythmia, prevention of cardiovascular disease with a heavy emphasis on risk factor modification. Cardiovascular Innovations and Applications is the official journal of the Great Wall International Congress of Cardiology (GW-ICC). It aims to continue the work of the GW-ICC by providing a global scientific communication platform for cardiologists that bridges East and West.

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