Abstract #5362

Automatic detection method for the stationary period of the coronary arteries for whole-heart coronary MR angiography using deep learning

Shigehide Kuhara¹, Remina Kasai², Yuta Endo¹, Sanae Takahashi¹, Haruna Shibo¹, Kuninori Kobayashi¹, and Makoto Amanuma¹

¹Department of Medical Radiological Technology, Faculty of Health Sciences, Kyorin University, Mitaka-shi, Tokyo, Japan, ²Radiology Department, Tokyo Teishin Hospital, Chiyoda-ku, Tokyo, Japan

Synopsis

Keywords: Vessels, Cardiovascular, Coronary MRAWe developed a new method using a convolutional neural network to obtain the stationary periods of the coronary arteries for whole-heart coronary magnetic resonance angiography. A time-domain segmentation method using U-net was proposed. Two motion curves, which were obtained from the motion of the coronary arteries between cine frames, were vertically arranged, converted to motion images, and used to extract the stationary periods. The results demonstrate that the proposed method can accurately determine the stationary period of the coronary arteries in humans, and it is expected to be a fully automatic determination method for the stationary period.

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