Search Results for author: Yingmin Liu

Found 7 papers, 3 papers with code

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

no code implementations27 Feb 2024 Preethi Chandrasekaran, Chong Chen, Yingmin Liu, Syed Murtaza Arshad, Christopher Crabtree, Matthew Tong, Yuchi Han, Rizwan Ahmad

Conclusions: The study demonstrates that RT ExCMR with in-magnet exercise is a feasible and effective method for dynamic cardiac function monitoring during exercise.

Deep Image prior with StruCtUred Sparsity (DISCUS) for dynamic MRI reconstruction

no code implementations1 Dec 2023 Muhammad Ahmad Sultan, Chong Chen, Yingmin Liu, Rizwan Ahmad

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.

MRI Reconstruction

Motion-robust free-running cardiovascular MRI

1 code implementation4 Aug 2023 Syed M. Arshad, Lee C. Potter, Chong Chen, Yingmin Liu, Preethi Chandrasekaran, Christopher Crabtree, Yuchi Han, Rizwan Ahmad

For validation, CORe is first compared to traditional compressed sensing (CS), robust regression (RR), and another outlier rejection method using two simulation studies.

SSIM

Technical Report (v1.0)--Pseudo-random Cartesian Sampling for Dynamic MRI

1 code implementation8 Jun 2022 Mihir Joshi, Aaron Pruitt, Chong Chen, Yingmin Liu, Rizwan Ahmad

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

no code implementations31 Jan 2022 Chong Chen, Yingmin Liu, Orlando P. Simonetti, Matthew Tong, Ning Jin, Mario Bacher, Peter Speier, Rizwan Ahmad

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.

Fully Self-Gated Whole-Heart 4D Flow Imaging from a Five-Minute Scan

no code implementations19 Apr 2020 Aaron Pruitt, Adam Rich, Yingmin Liu, Ning Jin, Lee Potter, Matthew Tong, Saurabh Rajpal, Orlando Simonetti, Rizwan Ahmad

ReVEAL4D is validated using data from eight healthy volunteers and two patients and compared with a compressed sensing technique, L1-SENSE.

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