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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