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Accelerated 3D Metabolite T1 Mapping Using Variable-Flip-Angle FID MRSI

Combining Cortical Neurometabolic Changes and Structural Disconnection Improves Stroke Severity Prediction: A High-Resolution 1H-MRSI Study

High-Fidelity ASL Perfusion Imaging Using Unsuppressed Water Signals in MR Spectroscopic Imaging

Learning-based Separation of Macromolecules and Metabolites in Ultrashort-TE FID MRSI with Auxiliary SE MRSI Data

Multi-Atlas Segmentation of MR Brain Images with Lesions Using Subspace-Assisted-GAN Based Image Recovery

Neurometabolic Changes Post Stroke are Associated with Cerebral Artery Distributions: A Combined 3D 1H-MRSI and MRA Study

Segmentation of Brain Lesions Using Posterior Distributions Learned by Subspace-assisted Generative Model

Author:Huixiang Zhuang  Yue Guan  Yi Ding  Chang Xu  Yuhao Ma  Ziyu Meng  Ruihao Liu  Zhi-Pei Liang  Yao Li  

Session Type:Oral  

Session Date:Wednesday, 08 May 2024  

Session Name:Analysis Methods: Segmentation  

Program Number:1022  

Room Session:Nicoll 2  

Institution:Shanghai Jiao Tong University  University of Illinois at Urbana-Champaign  

Study of Neurometabolic Alterations in Multiple Sclerosis Using Fast High-Resolution 3D 1H-MRSI