6 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…
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…
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…
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).…
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…