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Abstract #4407

Evaluation of 3D-QALAS Multiparametric Imaging with Compressed SENSE Acceleration

Brian Johnson1,2, John Penatzer1, and Sandeep Ganji1,3
1Philips Healthcare, Gainesville, FL, United States, 2University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Mayo Clinic College of Medicine, Rochester, MN, United States


Simultaneous parametric mapping techniques like 3D-QALAS offer means for reliable measurement of T1, T2, and proton density while also offering the generation of standard imaging contrasts. 3D-QALAS has also been shown to provide consistent brain tissue segmentation and volumetric analysis. However, high-resolution 3D-QALAS scans suffer from long scan times. Applying acceleration techniques like compressed SENSE, which are highly effective at reducing 3D scan times, can bring 3D-QALAS scan times under 3-minutes. Here we evaluate the acceleration of 3D-QALAS using multiple compressed SENSE factors on scan times, image quality, multiparametric mapping, and volumetric analysis.

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