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Abstract #3049

On Motion Estimation and Compensation Baseline Estimations in Dynamic Imaging: A Comparative Study with Cine Cardiac and Contrast-Enhanced Lung Imaging

Mei-Lan Chu1, Jia-Shuo Hsu1, Hsiao-Wen Chung1

1Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan

Estimation of the baseline is essential in compressed-sensing-based acceleration methods for MRI acquisition, as an accurate baseline estimation helps sparsifying the residues effectively. Recent literatures suggest improved baseline estimation using adaptive regularization or motion estimation (ME) and compensation (MC). While the suitability of these methods on other dynamic images with fast-varying contrast and morphology such as dynamic contrast-enhanced (DCE) lung imaging have not been investigated. Therefore, the purpose of this study is to explore the baseline estimation performance of the block-matching and the phase-correlation ME/MC on both cine cardiac and DCE lung imaging, in comparison with the conventional approach.