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Abstract #4799

Comparison of MoCo-MPG schemes and readout sequences (EPI/TSE) towards robust myocardial IVIM-DWI

Yasuhiro Goto1, Michinobu Nagao2, Masami Yoneyama3, Guillaume Gilbert4, Johannes M Peeters5, Isao Shiina1, Yasutomo Katsumata3, Kazuo Kodaira1, Yutaka Hamatani1, Mana Kato1, and Shuji Sakai2
1Department of Radiological Services, Tokyo Women's Medical University Hospital, Tokyo, Japan, 2Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University Hospital, Tokyo, Japan, 3Philips Japan, Tokyo, Japan, 4Phillips Canada, Mississauga, ON, Canada, 5Philips Healthcare, Best, Netherlands

Synopsis

Keywords: IVIM, IVIM

Motivation: M2-null EPI-DWI using deep learning-constrained compressed SENSE with a high reduction factor may be a suitable method for robust myocardial IVIM imaging at a wide range of heart rates compared to other methods.

Goal(s): Robust cardiac IVIM mapping imaging using M1 or M2 null MPG schemes.

Approach: To evaluate the robustness of cardiac IVIM mapping with TSE and EPI sequences using M1 or M2 null MPG schemes.

Results: Our results suggest that M2-nulled EPI-DWI with deep-learning constrained Compressed SENSE with high reduction factor could be more suitable method for robust myocardial IVIM imaging with a wide range of heartrates compared with other methods.

Impact: Cardiac IVIM may play an important role in the evaluation of various cardiac diseases.Our results suggest that M2-null EPI-DWI using deep learning-constrained compressed SENSE with high reduction factor may be a suitable method for robust myocardial IVIM imaging.

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Keywords