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
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.
This abstract and the presentation materials are available to members only;
a login is required.