Osteoarthritis (OA) is a major cause of disability - 75% of people over 60 will suffer from OA. In OA, articular cartilage degenerates, leaving no cushion for the joint to articulate, resulting in pain. Acute injuries such as ACL and meniscal tears increase the risk of OA. MRI offers excellent soft tissue contrast, and is the most accurate non-invasive way to image cartilage, menisci, ligaments and tendons.
Our research in OA is directed toward quantitative imaging that can assess OA before symptoms occur. This would be useful to develop, evaluate, and ultimately recommend treatments for OA. We have developed numerous 3D methods for high-resolution acquisition of knee images that can be used to quantitatively map T2, T2*, diffusion and sodium content.
Diagnostic Accuracy of 5-Minute Knee MRI Using AI Image Quality Enhancement
Despite advances in accelerating MRI scans, diagnostic knee MRI protocols typically require upwards of 30 minutes of scanner time, which fundamentally limits patient throughput.
Utility of Deep Learning Super-Resolution in the Context of Osteoarthritis MRI Biomarkers
Deep learning based super-resolution (SR) is a computer vision method that can enhance the resolution of low-resolution images, which has recently been applied to MRI.
5-Minute Quantitative Double-Echo in Steady-State Sequence for Comprehensive Whole-Joint Knee MRI
Clinical knee MRI examinations typically utilize 2D imaging methods with thick slices, requiring upwards of 20-25 minutes of scan time, and yet not producing any quantitative information.
SNR-Weighted Regularization of ADC Estimates from Double‐Echo in Steady‐State (DESS)
Osteoarthritis is a difficult condition that has painful and debilitating effects on many people, leading to high medical costs.
Quantitative Imaging of Bone-Cartilage Interactions in ACL-Injured Patients with PET-MRI
Osteoarthritis (OA) is a degenerative whole-joint disease that affects more than half of the population during their lives and is the leading cause of disability worldwide.
Super-Resolution Musculoskeletal MRI Using Deep Learning
In this manuscript, we have demonstrated a method termed ‘DeepResolve’, which can transform low-resolution magnetic resonance images (MRI) into higher-resolution images.
Simultaneous Bilateral Knee MR Imaging
Osteoarthritis (OA) remains a tremendous burden to society, affecting the majority of the population by age 65.
MRI of Peripheral Nerves
This work enables high-resolution depiction of nerve fascicular structure - evaluation of such structure can be useful in diagnosing subtle nerve damage.
Five-Minute Knee MRI for Simultaneous Morphometry and T2 Relaxometry Using DESS
We have developed a method for knee MRI that can acquire MRI-based biomarkers in a single 5-minute scan.
Imaging and T2 Relaxometry of Short-T2 Connective Tissues in the Knee using UTEDESS
Osteoarthritis is a whole-joint disease, but it is currently challenging to image some of the tissues in the knee.