Abstract #2602

Towards robust myocardial IVIM-DWI: feasibility of single-shot MoCo-DW-EPI with Compressed SENSE AI and elastic registration

Yasuhiro Goto¹, Michinobu Nagao², Masami Yoneyama³, Adam Wu⁴, Johannes M Peeters⁵, Isao Shiina¹, Kazuo Kodaira¹, Yutaka Hamatani¹, Takumi Ogawa¹, Mana Kato¹, Yasuyuki Morita¹, and Shuji Sakai²

¹Department of Radiological Services, Tokyo Women's Medical University, Tokyo, Japan, ²Department of Diagnostic imaging & Nuclear Medicine, Tokyo Women's Medical University, Tokyo, Japan, ³Philips Japan, Tokyo, Japan, ⁴Philips Healthcare (Shanghai) Ltd, Shanghai, China, ⁵Philips Healthcare, Best, Netherlands

Synopsis

Keywords: Diffusion Analysis & Visualization, Myocardium

Motivation: The purpose of this study was to evaluate the robustness of IVIM mapping using aMoCo-EPICS-AI-DWI-FEIR.

Goal(s): Determine how to achieve better image quality, robustness to motion, and quantitative accuracy in myocardial IVIM-DWI.

Approach: MoCo-TSE-DWI and aMoCo-EPICS-AI-DWI on a 3.0T MR clinical imager for image comparison.

Results: aMoCo-EPICS-AI-DWI-FEIR demonstrated reduced individual and site-specific differences in the parameters obtained from IVIM-DWI imaging, compared with MoCo-TSE-DWI-FEIR.

Impact: aMoCo-EPICS-AI-DWI-FEIR might be the best method for myocardial IVIM-DWI with better image quality, motion robustness and improved quantitative accuracy.

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