262 citations · 352 across the 20 of their papers we have counts for
22 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…
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
Jeffrey Wen, Rizwan Ahmad, Philip Schniter
Accelerated magnetic resonance (MR) imaging attempts to reduce acquisition time by collecting data below the Nyquist rate. As an ill-posed inverse problem, many plausible solutions…
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data
Muhammad Shafique, Sizhuo Liu, Philip Schniter +1
Objective: Acquiring fully sampled training data is challenging for many MRI applications. We present a self-supervised image reconstruction method, termed ReSiDe, capable of recov…
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Matthew Bendel, Rizwan Ahmad, Philip Schniter
In image recovery problems, one seeks to infer an image from distorted, incomplete, and/or noise-corrupted measurements. Such problems arise in magnetic resonance imaging (MRI), co…
Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI
Mihir Joshi, Aaron Pruitt, Chong Chen +2
For an effective application of compressed sensing (CS), which exploits the underlying compressibility of an image, one of the requirements is that the undersampling artifact be in…
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler +1
To solve inverse problems, plug-and-play (PnP) methods replace the proximal step in a convex optimization algorithm with a call to an application-specific denoiser, often implement…
Expectation Consistent Plug-and-Play for MRI
Saurav K Shastri, Rizwan Ahmad, Christopher A Metzler +1
For image recovery problems, plug-and-play (PnP) methods have been developed that replace the proximal step in an optimization algorithm with a call to an application-specific deno…
Cardiac and respiratory motion extraction for MRI using Pilot Tone-a patient study
Chong Chen, Yingmin Liu, Orlando P. Simonetti +5
Background: Several studies have shown that both respiratory and cardiac motion can be extracted from the Pilot Tone (PT) signal successfully. However, most of these studies were p…
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…
MRI Recovery with A Self-calibrated Denoiser
Sizhuo Liu, Philip Schniter, Rizwan Ahmad
Plug-and-play (PnP) methods that employ application-specific denoisers have been proposed to solve inverse problems, including MRI reconstruction. However, training application-spe…
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…
Automatic image-based respiratory signal extraction in real-time CMR
Chong Chen, Yingmin Liu, Orlando P. Simonetti +1
Purpose: To develop a fully automatic method for extraction and directionality determination of respiratory signal in free-breathing, real-time (RT) cardiac MRI. Methods: The respi…
Autotuning Plug-and-Play Algorithms for MRI
Saurav K. Shastri, Rizwan Ahmad, Philip Schniter
For magnetic resonance imaging (MRI), recently proposed "plug-and-play" (PnP) image recovery algorithms have shown remarkable performance. These PnP algorithms are similar to tradi…
MRI Image Recovery using Damped Denoising Vector AMP
Subrata Sarkar, Rizwan Ahmad, Philip Schniter
Motivated by image recovery in magnetic resonance imaging (MRI), we propose a new approach to solving linear inverse problems based on iteratively calling a deep neural-network, so…
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…
High-dimensional Fast Convolutional Framework (HICU) for Calibrationless MRI
Shen Zhao, Lee C. Potter, Rizwan Ahmad
Purpose: To present a computational procedure for accelerated, calibrationless magnetic resonance image (Cl-MRI) reconstruction that is fast, memory efficient, and scales to high-d…
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser
Sizhuo Liu, Edward Reehorst, Philip Schniter +1
Cardiac magnetic resonance imaging (CMR) is a noninvasive imaging modality that provides a comprehensive evaluation of the cardiovascular system. The clinical utility of CMR is ham…
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…
Automatic Extraction and Sign Determination of Respiratory Signal in Real-time Cardiac Magnetic Resonance imaging
Chong Chen, Yingmin Liu, Orlando P. Simonetti +1
In real-time (RT) cardiac cine imaging, a stack of 2D slices is collected sequentially under free-breathing conditions. A complete heartbeat from each slice is then used for cardia…
Plug and play methods for magnetic resonance imaging (long version)
Rizwan Ahmad, Charles A. Bouman, Gregery T. Buzzard +4
Magnetic Resonance Imaging (MRI) is a non-invasive diagnostic tool that provides excellent soft-tissue contrast without the use of ionizing radiation. Compared to other clinical im…
Iteratively Reweighted Approaches to Sparse Composite Regularization
Rizwan Ahmad, Philip Schniter
Motivated by the observation that a given signal admits sparse representations in multiple dictionaries but with varying levels of sparsity across…