(ISMRM 2024) <b>A Dictionary Matching-Based Motion Correction Method for Cardiac Multi-Parametric Mapping</b>
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Abstract #4648

A Dictionary Matching-Based Motion Correction Method for Cardiac Multi-Parametric Mapping

Haiyang Chen1, Yixin Emu1, Zhuo Chen1, Juan Gao1, and Chenxi Hu1
1Shanghai Jiao Tong University, Shanghai, China

Synopsis

Keywords: Motion Correction, Motion Correction, multi-parametric mapping

Motivation: Motion correction (MoCo) for cardiac parametric mapping can be challenging due to the dynamic signal variations. Traditional model-based methods need an analytical model, which is often unavailable for multi-parametric mapping applications.

Goal(s): To propose a model-free dictionary matching-based MoCo method for cardiac multi-parametric mapping.

Approach: The method alternates between dictionary matching and image registration. In vivo validation was performed in 10 healthy subjects for cardiac joint T1 and T2 mapping with controlled breathing.

Results: Compared with non-MoCo, the proposed method significantly reduced inter-image misalignment and improved the quality of the T1 and T2 maps.

Impact: The proposed MoCo method can be applied to any quantitative MRI application with a signal dictionary, which includes both single-parametric and multi-parametric mapping.

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Keywords

moco