Abstract #4566

Clinical assessment of high spatial resolution myocardial T2-weighted dark blood imaging based on deep learning

Lingping Ran¹, Lu Huang¹, Xianghu Yan¹, Yi Luo¹, Shuheng Zhang², Shiyu Zhang², Yuan Zheng³, Jian Xu³, and Liming Xia¹

¹Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China, ²United Imaging Healthcare, Shanghai, China, ³UIH America, Inc., Houston, TX, United States

Synopsis

High resolution T2-weighted dark blood (HR-T2W-DB) imaging is not always robust for clinical use because of low SNR and long scan time. The purpose of this study was to evaluate a novel deep learning (DL) based reconstruction method in T2W-DB sequence that achieves higher spatial resolution and same scan duration compared with traditional reconstruction method. Quantitative and qualitative image assessment demonstrated that DL based HR-T2W-DB sequence showed better CNR in region of edema and LV free wall visibility, which might help detecting myocardial edema.

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