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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