3D multiple overlapping-echo detachment (3D-MOLED) imaging for ultrafast simultaneous T2 and susceptibility mapping of whole-brain

Accelerating MR Reconstruction with encoding perturbations using a diffusion model

Data-driven Image Reconstruction for Ultra-low-field Knee and Spine MRI at 0.05T

Author:Christopher Man  Vick Lau  Shihao Zeng  Xiang Li  Yujiao Zhao  Ed Wu  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI I  

Program Number:2790  

Room Session:Exhibition Hall (Hall 403)  

Institution:The University of Hong Kong  

Fast Joint MR T1 and T2 Parameter Mapping with Scan Specific Unsupervised Networks

fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI

Fingerprint Representation of Metabolite Magnetic Resonance Spectroscopy with Deep Learning

Author:Yan Zhang  Jun Shen  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI I  

Program Number:2780  

Room Session:Exhibition Hall (Hall 403)  

Institution:National Institute of Mental Health  

Hankel-based data preparation method for radial MRI artifact removal from undersampled zero-filled images

Joint Optimization Sampling and Reconstruction of Multi-Contrast MRI under Specific Scan Sequence Combination

Author:Jianing Geng  Zijian Zhou  Haikun Qi  Peng Hu  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI I  

Program Number:2784  

Room Session:Exhibition Hall (Hall 403)  

Institution:ShanghaiTech University  

Noise-induced Variability Quantification in Deep Learning-Based MRI Reconstructions

Author:Onat Dalmaz  Arjun Desai  Akshay Chaudhari  Brian Hargreaves  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI I  

Program Number:2785  

Room Session:Exhibition Hall (Hall 403)  

Institution:Stanford University  

Noisy-Signal2Parameter(S2P): Structure-adaptative parameter map reconstruction for filter-exchange imaging without clean data

Novel deep learning approach combining image reconstruction and diagnostic segmentation

Rapid High-resolution Whole-brain 3D Multi-parametric and Multi-contrast MRI with Deep Learning-based Acquisition & Reconstruction

Author:David Shin  Naoyuki Takei  Xucheng Zhu  Fara Nikbeh  Suchandrima Banerjee  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Acquisitions & Reconstructions Using AI I  

Program Number:2791  

Room Session:Exhibition Hall (Hall 403)  

Institution:GE HealthCare  

Real-time automated assessment of image quality during MRI scanning for optimal image reconstruction

Ten-fold accelerated multi-echo spiral fMRI using self-supervised physics-driven DL reconstruction

The use of deep learning based reconstruction in accelerating rectal cancer imaging