Highly-Accelerated 3D T1rho Mapping of the Knee Using k-t SPARSE-SENSE
Ding Xia 1,2 , Li Feng 1,2 , Tiejun Zhao 3 , and Ravinder R. Regatte 1,2
Center for Advanced Imaging Innovation and
Research (CAI2R), Department of Radiology, New York
University School of Medicine, New York, NY, United
and Irene Schwartz Center for Biomedical Imaging,
Department of Radiology, New York University School of
Medicine, New York, NY, United States,
Medical Solution USA. Inc, New York, NY, United States
This work investigates the feasibility of
highly-accelerated 3D-T1rho mapping in human knee
cartilage using a combination of compressed sensing and
parallel imaging. Fully sampled dynamic k-space data
were retrospectively undersampled at different
acceleration rates from 2 to 6 and reconstructed using
k-t SPARSE-SENSE, a reconstruction framework that
exploits joint multicoil sparsity in dynamic imaging.
The 3D T1rho maps estimated from the accelerated
datasets was compared with the fully sampled reference.
Accurate T1rho maps can be obtained up to 5-fold
acceleration, which suggest that the proposed approach
could be useful in assessing musculoskeletal diseases
such as osteoarthritis with reduced scan times.
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