29 citations · 86 across the 13 of their papers we have counts for
10 papers · 1 filter
MOSAIC: A Self-supervised Dynamic Multi-encoding Reconstruction Framework for 3D Late Gadolinium Enhancement MRI
Muhammad A. Sultan, Yingmin Liu, Katherine Binzel +3
Purpose: To develop and evaluate a self-supervised dynamic reconstruction framework for highly undersampled dual-echo three-dimensional late gadolinium enhancement (3D LGE) MRI. Me…
EMORe: Motion-Robust 5D MRI Reconstruction via Expectation-Maximization-Guided Binning Correction and Outlier Rejection
Syed M. Arshad, Lee C. Potter, Yingmin Liu +3
We propose EMORe, an adaptive reconstruction method designed to enhance motion robustness in free-running, free-breathing self-gated 5D cardiac magnetic resonance imaging (MRI). Tr…
A multi-dynamic low-rank deep image prior (ML-DIP) for 3D real-time cardiovascular MRI
Chong Chen, Marc Vornehm, Zhenyu Bu +6
Purpose: To develop a reconstruction framework for 3D real-time cine cardiovascular magnetic resonance (CMR) from highly undersampled data without requiring fully sampled training…
An unsupervised method for MRI recovery: Deep image prior with structured sparsity
Muhammad Ahmad Sultan, Chong Chen, Yingmin Liu +3
Objective: To propose and validate an unsupervised MRI reconstruction method that does not require fully sampled k-space data. Materials and Methods: The proposed method, deep imag…
Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction
Muhammad A. Sultan, Chong Chen, Yingmin Liu +2
High-quality training data are not always available in dynamic MRI. To address this, we propose a self-supervised deep learning method called deep image prior with structured spars…
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…
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…
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…
Fully Self-Gated Whole-Heart 4D Flow Imaging from a Five-Minute Scan
Aaron Pruitt, Adam Rich, Yingmin Liu +6
Purpose: To develop and validate an acquisition and processing technique that enables fully self-gated 4D flow imaging with whole-heart coverage in a fixed five-minute scan. Theory…
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…