Abstract #2733

Application of Compressed Sensing to Quantitative Double Echo steady state (qDESS) for Rapid T2 Relaxometry in Knees

Quin Lu¹, Brian A Hargreaves², and Akshay S Chaudhari²

¹Clinical Science, Philips Healthcare NA, San Francisco, CA, United States, ²Radiology, Stanford University, Stanford, CA, United States

Quantitative Double Echo Steady State (qDESS) is a fast 3D MRI sequence capable of simultaneous knee morphometry and T2 relaxometry. Compressed-sensing based acceleration methods are more and more readily available from major MRI vendors, and have the potential to further speed up qDESS and to provide greater clinical value. In this study, we investigate the feasibility of applying Philips Compressed SENSE (CS) to qDESS. We show that CS does not bias the T2 accuracy of qDESS. Our findings support the clinical application of CS accelerated qDESS for fast and quantitative MR knee assessment.

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