Accelerating MRI with Spiral Trajectory Optimization and Reconstruction using Diffusion Models

Author:Trevor Chan  Jessie Dong  Nabo Yu  Hee Kwon Song  Chamith Rajapakse  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI/ML: Reconstructing Undersampled MR Data  

Program Number:4508  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of Pennsylvania  

Aliasing Artefact Suppression in Machine Learning MRI Reconstruction for Random Phase-Encode Undersampling

Author:TengFei Yuan  Zhaoxin Kang  Jieru Chi  Jie Yang  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI/ML: Reconstructing Undersampled MR Data  

Program Number:4502  

Room Session:Exhibition Hall (Hall 403)  

Institution:Qingdao University  

Cyclic-Consistency for Improved Self-Supervised Learning of Highly Accelerated MRI Reconstruction

Author:Chi Zhang  Omer Demirel  Mehmet Akçakaya  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI/ML: Reconstructing Undersampled MR Data  

Program Number:4499  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of Minnesota  

Deep-learning-based optimization of k-space undersampling in self-supervised MRI reconstruction

DL based reconstruction method for an undersampled PROPELLER MRI data

Author:Florintina C  Sudhanya Chatterjee  Rohan Patil  Sajith Rajamani  Suresh Joel  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI/ML: Reconstructing Undersampled MR Data  

Program Number:4500  

Room Session:Exhibition Hall (Hall 403)  

Institution:GE HealthCare  

An End-to-End deep learning compressed sensing reconstruction model with adaptive shrinkage threshold

Feature-Image Variational Network for Accelerated MRI Reconstructions

Image-feature-understanding data consistency for under-sampled MRI reconstruction

Author:Sha Wang  Lijun Zhang  Chunyao Wang  Zhenxi Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI/ML: Reconstructing Undersampled MR Data  

Program Number:4510  

Room Session:Exhibition Hall (Hall 403)  

Institution:Canon Medical Systems (China) Co., Ltd.  

Joint group sparsity-based motion-compensated deep learning reconstruction for 3D whole-heart joint T1/T2 mapping

Low-rank regularized implicit neural representation for k-space completion in fast MRI reconstruction

NLCG-Net: A Model-Based Zero-Shot Learning Framework for Undersampled Quantitative MRI Reconstruction

Perturbation Robust: Deep Adversarial-Equilibrium Unfolding Network for Magnetic Resonance Image Reconstruction