BMR Publication Highlights
The following are general descriptions of recent highlights from BMR publications. You may also view a complete list of BMR group publications.
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.
Optimization of Quantitative Sequences Using Automatic Differentiation of Bloch Simulations
We apply automatic differentiation (widely used in deep learning) and a simple Bloch simulation to efficiently optimize any sequence that can be simulated.
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.
Accelerated Imaging of Metallic Implants Using Model-Based Nonlinear Reconstruction
Total joint replacement is a common surgery to treat end-stage joint pain, which is projected to exceed 4.
Motion-Robust Reconstruction of Multishot Diffusion-Weighted Images without Phase Estimation
Diffusion-weighted MRI is a widely used technique in neuroscience research, as well as for many clinical applications.
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.
MR Imaging of Magnetic Ink Patterns via Off-Resonance Sensitivity
The magnetic susceptibility effects of magnetic ink in MRI can be exploited to visualize magnetic ink patterns placed on the skin.
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.
Artifact-Reduced Imaging of Biopsy Needles with 2D Multispectral Imaging
We have validated the use of an MR imaging method that reduces the image artifacts due to metal objects for tracking biopsy needles in MR-guided procedures.