Musculoskeletal magnetic resonance imaging (MRI) is a careful negotiation between spatial,
temporal, and contrast resolution, which builds the foundation for diagnostic performance …

Diffusion measurements in the kidney are affected not only by renal microstructure but also
by physiological processes (ie, glomerular filtration, water reabsorption, and urine …

Purpose To develop and test a deep learning approach named Convolutional Neural
Network (CNN) for automated screening of T2‐weighted (T2WI) liver acquisitions for …

Purpose To assess the robustness and repeatability of intravoxel incoherent motion model
(IVIM) parameter estimation for the diffusion‐weighted MRI in the abdominal organs under …

Purpose We prospectively quantified the signal-to-noise ratio (SNR) and contrast-to-noise
ratio (CNR) of integrated parallel acquisition technique (PAT) and simultaneous multislice …

Objectives Deep learning–reconstructed diffusion-weighted imaging (DL-DWI) is an
emerging promising time-efficient method for liver evaluation, but analyses regarding …

Objectives Comparison of the diagnostic value of simultaneous multislice (SMS) accelerated
diffusion-weighted echo planar imaging (EPI) of malignant and benign lesions of the breast …

Purpose The aims of this study were to establish a 5-minute magnetic resonance (MR)
screening protocol for prostate cancer in men before biopsy and to evaluate effects on …

Objectives The aim of this study was to retrospectively compare optimized respiratory-
triggered diffusion-weighted imaging with simultaneous multislice acceleration (SMS-RT …

Purpose The aim of this study was to compare respiratory-triggered diffusion-weighted
imaging with simultaneous-multislice acceleration (SMS-RT-DWI) to a standard free …