Search Results for author:
Found 20 papers, 10 papers with code
Accelerated Real-time Cine and Flow under In-magnet Staged Exercise
Conclusions: The study demonstrates that RT ExCMR with in-magnet exercise is a feasible and effective method for dynamic cardiac function monitoring during exercise.
Surface Coil Intensity Correction for MRI
Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data.
Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction
In the second study, we use data from a realistic late gadolinium enhancement (LGE) phantom to compare DISCUS with compressed sensing (CS) and DIP and to demonstrate the positive impact of group sparsity.
Motion-robust free-running cardiovascular MRI
For validation, CORe is first compared to traditional compressed sensing (CS), robust regression (RR), and another outlier rejection method using two simulation studies.
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging
Accelerated magnetic resonance (MR) imaging attempts to reduce acquisition time by collecting data below the Nyquist rate.
MRI Recovery with Self-Calibrated Denoisers without Fully-Sampled Data
However, unlike traditional PnP approaches that utilize generic denoisers or train application-specific denoisers using high-quality images or image patches, ReSiDe directly trains the denoiser on the image or images that are being reconstructed from the undersampled data.
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery
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 implemented using a deep neural network (DNN).
Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI
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 incoherent (noise-like) in the sparsifying transform domain.
Cardiac and respiratory motion extraction for MRI using Pilot Tone-a patient study
Purpose: We seek to evaluate the accuracy and reliability of the cardiac and respiratory signals extracted from PT in patients clinically referred for cardiovascular MRI with the image-derived signals as the reference.
Maximizing Unambiguous Velocity Range in Phase-contrast MRI with Multipoint Encoding
In phase-contrast magnetic resonance imaging (PC-MRI), the velocity of spins at a voxel is encoded in the image phase.
Matching Plug-and-Play Algorithms to the Denoiser
To solve inverse problems, plug-and-play (PnP) methods have been developed that replace the proximal step in a convex optimization algorithm with a call to an application-specific denoiser, often implemented using a deep neural network (DNN).
MRI Recovery with A Self-calibrated Denoiser
The proposed method, called recovery with a self-calibrated denoiser (ReSiDe), trains the denoiser from the patches of the image being recovered.
Venc Design and Velocity Estimation for Phase Contrast MRI
We propose Phase Recovery from Multiple Wrapped Measurements (PRoM) as a fast, approximate maximum likelihood estimator of velocity from multi-coil data with possible amplitude attenuation due to dephasing.
High-dimensional Fast Convolutional Framework (HICU) for Calibrationless MRI
Purpose: To present a computational procedure for accelerated, calibrationless magnetic resonance image (Cl-MRI) reconstruction that is fast, memory efficient, and scales to high-dimensional imaging.
Fully Self-Gated Whole-Heart 4D Flow Imaging from a Five-Minute Scan
ReVEAL4D is validated using data from eight healthy volunteers and two patients and compared with a compressed sensing technique, L1-SENSE.
Convolutional Framework for Accelerated Magnetic Resonance Imaging
Magnetic Resonance Imaging (MRI) is a noninvasive imaging technique that provides exquisite soft-tissue contrast without using ionizing radiation.
Automatic Extraction and Sign Determination of Respiratory Signal in Real-time Cardiac Magnetic Resonance imaging
A complete heartbeat from each slice is then used for cardiac function quantification.
Free-breathing Cardiovascular MRI Using a Plug-and-Play Method with Learned Denoiser
We compare the reconstruction performance of PnP-DL to that of compressed sensing (CS) using eight breath-held and ten real-time (RT) free-breathing cardiac cine datasets.
Plug and play methods for magnetic resonance imaging (long version)
In this article, we describe the use of "plug-and-play" (PnP) algorithms for MRI image recovery.
Soft Computing Techniques for Dependable Cyber-Physical Systems
Cyber-Physical Systems (CPS) allow us to manipulate objects in the physical world by providing a communication bridge between computation and actuation elements.
