233 citations · 274 across the 8 of their papers we have counts for
8 papers
Motion-robust free-running volumetric cardiovascular MRI
Syed M. Arshad, Lee C. Potter, Chong Chen +7
PURPOSE: To present and assess an outlier mitigation method that makes free-running volumetric cardiovascular MRI (CMR) more robust to motion. METHODS: The proposed method, called…
Maximizing Unambiguous Velocity Range in Phase-contrast MRI with Multipoint Encoding
Shen Zhao, Rizwan Ahmad, Lee C. Potter
In phase-contrast magnetic resonance imaging (PC-MRI), the velocity of spins at a voxel is encoded in the image phase. The strength of the velocity encoding gradient offers a trade…
Venc Design and Velocity Estimation for Phase Contrast MRI
Shen Zhao, Rizwan Ahmad, Lee C. Potter
In phase-contrast magnetic resonance imaging (PC-MRI), spin velocity contributes to the phase measured at each voxel. Therefore, estimating velocity from potentially wrapped phase…
Calibrationless MRI Reconstruction with a Plug-in Denoiser
Shen Zhao, Lee C. Potter, Rizwan Ahmad
Magnetic Resonance Imaging (MRI) is a noninvasive imaging technique that provides excellent soft-tissue contrast without using ionizing radiation. MRI's clinical application may be…
OCMR (v1.0)--Open-Access Multi-Coil k-Space Dataset for Cardiovascular Magnetic Resonance Imaging
Chong Chen, Yingmin Liu, Philip Schniter +5
Cardiovascular MRI (CMR) is a non-invasive imaging modality that provides excellent soft-tissue contrast without the use of ionizing radiation. Physiological motions and limited sp…
Convolutional Framework for Accelerated Magnetic Resonance Imaging
Shen Zhao, Lee C. Potter, Kiryung Lee +1
Magnetic Resonance Imaging (MRI) is a noninvasive imaging technique that provides exquisite soft-tissue contrast without using ionizing radiation. The clinical application of MRI m…
Compressive Imaging using Approximate Message Passing and a Markov-Tree Prior
Subhojit Som, Philip Schniter
We propose a novel algorithm for compressive imaging that exploits both the sparsity and persistence across scales found in the 2D wavelet transform coefficients of natural images.…
Sparsity Pattern Recovery in Bernoulli-Gaussian Signal Model
Subhojit Som, Lee C Potter
In compressive sensing, sparse signals are recovered from underdetermined noisy linear observations. One of the interesting problems which attracted a lot of attention in recent ti…