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

CDGAN:Cross Datasets Generative Adversarial Network for MR multi-contrast Image Synthesis

Deep-learning-based flow-artifact correction for multi-shot multiple overlapping-echo detachment imaging (msh-MOLED)

Determining grade and subtype of meningiomas with inversion recovery multiple overlapping-echo detachment imaging

Dual-confidence-guided feature learning for semi-supervised medical image segmentation

Author:Yudan Zhou  Shuhui Cai  Congbo Cai  Liangjie Lin  Zhong Chen  

Session Type:Oral  

Session Date:Tuesday, 07 May 2024  

Session Name:The Future of AI in MRI: Emerging Technologies & Directions  

Program Number:0657  

Room Session:Nicoll 3  

Institution:MSC Clinical & Technical Solutions  Xiamen University  

Dynamic distortion correction of ME-EPI using learning-based single-scan multi-echo blip up-down acquisition (ME-BUDA)

Fast mapping of simultaneous M0, T1, T2, T2 B1, and B0 using SSFP-based Multiple Overlapping-Echo Detachment Imaging

Fast water/fat T2 and PDFF mapping via multiple overlapping-echo acquisition and deep learning reconstruction

Joint learning of optimal acquisition and high quality ADC mapping for low field diffusion-weighted PROPELLER MRI

Masked U-net: Bridging the gap between real and synthetic data for mapping reconstruction in multiple overlapping-echo detachment imaging

Author:Junbo Zeng  Ming Ye  Yudan Zhou  Qinqin Yang  Zhigang Wu  Liangjie Lin  Congbo Cai  Shuhui Cai  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:AI/ML Image Reconstruction & Analysis  

Program Number:1994  

Room Session:Exhibition Hall (Hall 403)  

Institution:Philips Healthcare  Xiamen University  

A Novel Approach for Simultaneous T1, T2, T2, and Proton Density Mapping via Longitudinal Magnetization Control MOLED Acquisition

Predicting the onset of ischemic stroke with multi-parametric mapping based on multiple overlapping-echo detachment (MQMOLED) technique

Robust measurement of T2 relaxation time in the developing fetal brain using ultrafast MOLED technique

Simultaneously multi-parameter mapping via SSFP multiple overlapping-echo acquisition and deep learning reconstruction

Simultaneously T2 and T2* mapping via MOLED acquisition and deep learning for oxygen extraction fraction measurement

Spin and gradient echo multiple overlapping echo detachment (SAGE-MOLED) for high-fidelity T2-T2 mapping and simultaneous DSC-DCE imaging