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Abstract #1208

Accelerating T1-rho Cartilage Imaging Using k-t ISD with Locally-Adapted Thresholding and JSENSE

Yihang Zhou 1 , Valentina Pedoia 2 , Julien Rivoire 2 , Yanhua Wang 1 , Dong Liang 3 , Xiaojuan Li 2 , and Leslie Ying 1

1 Department of Biomedical Engineering, Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, NY, United States, 2 Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, United States, 3 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China

In this study, the feasibility of combining compressed sensing (CS) with parallel MRI (pMRI) in accelerating the T1ρ cartilage imaging is investigated. K-t ISD with locally-adapted thresholding, named k-t LISD, combined with JSESNE is used to reconstruct the image sequence from undersampled data in (k, t) space. The reconstruction process alternates iteratively between k-t LISD for reconstruction of the image sequence and JSENSE for sensitivity estimation. Result on in-vivo human knee experiment shows the T1ρ quantification from the accelerated acquisition using the proposed method is consistent with that from full acquisition in all cartilage compartments.

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