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Abstract #4612

Improved Dynamic contrast in Motion Corrected Dynamic Contrast Enhancement MRI Using Low Rank with Soft Weighting and Joint sparsity

Jichang Zhang1, Xinpei Wang1, Faisal Najeeb2, Pengfei Xu1, Hammad Omer2, Penny Gowland3, Sue Francis3, Paul Glover3, Richard Bowtell3, and Chengbo Wang1
1SPMIC, The University of Nottingham Ningbo China, Ningbo, China, 2COMSATS University Islamabad, Islamabad, Pakistan, 3SPMIC, The University of Nottingham, Nottingham, United Kingdom


This work presents a motion corrected free breathing Dynamic Contrast Enhanced MRI (DCE-MRI) with improved dynamic contrast reconstruction method called L+S with soft weighting and joint sparsity. Soft weighting achieves accurate motion correction at expense of dynamic contrast. An additional temporal Fast Fourier Transform (FFT) constraint is used to recover the dynamic contrast. A simulated phantom dataset was created with ground truth in this work, enabling quantification of the motion correction and dynamic contrast performance. The proposed method achieved improved dynamic contrast, better motion correction and high reconstruction efficiency simultaneously.

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