collaborators

5 papers

eess.IV2025

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…

eess.IV2025

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…

physics.med-ph2024

Multi-dynamic deep image prior for cardiac MRI

Marc Vornehm, Chong Chen, Muhammad Ahmad Sultan +4

Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. However, traditional breath-held imaging protocols pose challe…

eess.SP2024

Coil Reweighting to Suppress Motion Artifacts in Real-Time Exercise Cine Imaging

Chong Chen, Yingmin Liu, Yu Ding +6

Background: Accelerated real-time cine (RT-Cine) imaging enables cardiac function assessment without the need for breath-holding. However, when performed during in-magnet exercise,…

eess.SP2024

Accelerated Real-time Cine and Flow under In-magnet Staged Exercise

Preethi Chandrasekaran, Chong Chen, Yingmin Liu +5

Background: Cardiovascular magnetic resonance imaging (CMR) is a well established imaging tool for diagnosing and managing cardiac conditions. The integration of exercise stress wi…