2 citations · 8 across the 9 of their papers we have counts for
9 papers
FrequencyCT: Frequency Domain Self-supervised Low-dose CT Denoising
Guoquan Wei, Liu Shi, Chong Chen +1
Despite extensive research on computed tomography (CT) denoising, few studies exploit projection-domain data characteristics to mitigate noise correlation. To bridge this gap, this…
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…
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…
Groupwise Image Registration with Edge-Based Loss for Low-SNR Cardiac MRI
Xuan Lei, Philip Schniter, Chong Chen +1
Purpose: To perform image registration and averaging of multiple free-breathing single-shot cardiac images, where the individual images may have a low signal-to-noise ratio (SNR).…
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,…
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…
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…
Surface Coil Intensity Correction for MRI
Xuan Lei, Philip Schniter, Chong Chen +2
Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data. The sensitivity maps of the coils, when estimated using traditional methods, dif…