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Abstract #2060

Improved vessel delineation in whole-heart coronary MRA with sub-millimeter isotropic resolution using deep learning reconstruction compared with routine whole-heart coronary MRA

Sanae Takahashi1, Haruhiko Machida2, Toshiya Kariyasu2, Rieko Niitsu2, Isao Miyazaki1, Tatsuya Yoshioka1, Keita Fukushima1, Saori Yuda1, Yuta Shimizu1, Takayuki Yonaha1, Akihito Nakanishi1, Hiroshi Kusahara3, Youhei Matsuoka3, Miho Kitamura3, Takao Yamamoto3, and Kenichi Yokoyama2

1Kyorin University Hospital, Tokyo, Japan, 2Kyorin University School of Medicine, Tokyo, Japan, 3CANON MEDICAL SYSTEMS CORPORATION, Otawara, Japan

Whole-heart coronary MRA (WHCMRA) with sub-millimeter isotropic resolution is expected to improve spatial resolution and overcome limitations of routine WHCMRA, whereas increased image noise is the drawback. A state-of-the-art 3T MR scanner with the maximal gradient magnetic field of 100 mT/m and capability of deep learning reconstruction (DLR) that aims to reduce image noise is useful for improving vessel sharpness and delineation of the coronary arteries, even in the distal segments, on WHCMRA with sub-millimeter isotropic resolution with use of the DLR with preserving image noise compared with routine WHCMRA.

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