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Abstract #1680

Evaluation of Accelerated T1ρ Acquisition of the Cartilage Using a Combination of Compressed Sensing and Data Driven Parallel Imaging

Julien Rivoire1, Kevin F. King2, Xiaojuan Li1

1Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, United States; 2Applied Science Laboratory, General Electric Healthcare, Waukesha, WI, United States

In this work, a combination of compressed Sensing and parallel imaging reconstruction has been used to reconstruct MRI images for T1ρ measurement of the bone cartilage. While femoral cartilage T1ρ quantification was not affected significantly by the acceleration, the thinnest structures analyzed such as the tibia compartments suffered from higher deviation at high acceleration. Nevertheless, this preliminary data shows the feasibility of combining CS and PI and the potential acceleration benefit of using this new method to accelerate T1ρ quantification.

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Keywords

accelerate accelerated accelerating acceleration accuracy acquisition acquisitions advanced affected analyzed applications applied applying approximately artifacts biomedical blurring cartilage causing channels clinical coil coils combination combined combining commonly compartment compartments compressed compressibility conjugate correlation currently degeneration dependent detection deviation driven early echoes electric enables evaluate evaluating even examined exceed except explained explore exponential feasibility femoral femur field filtering find fitting form frequency full fully general good gradient graph gray great greater human improve in vivo induced introduces keeping king knee laboratory late lateral limited lock long maps markers matrix measured medial mono morphologic muscle noise norm normally osteoarthritis overlaid parallel patella percentage pilot pixel porcine potentially preliminary promise promising property pulse quantification quantitative radiology receive reconstructed reconstruction reduce relatively remove reported reproducibility require resolution respectively sampled sampling scale scanner science segmented sensing significance significantly simulate simulated simulations since slight solver sparsity specimen spin stages structures studies suffer suffers supported thicker thinnest tibia transmit view