3D T1-weightedsequenceofvolumetricisotropicturbospin-echoacquisition with a deep learning constrained Compressed SENSE reconstruction

3D-isotropic T1WI in liver MRI with compressed sensing and artificial intelligence reconstruction

Accelerated 3D PDWI in knee imaging: Quality and efficiency of a deep learning-based Compressed SENSE reconstruction

Author:Lin Mu  Ying Qiu  Yun Pei  Yi Zhu  Ke Jiang  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 12: MSK I  

Session Name:MSK IV  

Program Number:4616  

Room Session:5  

Institution:Jilin University  Philips Healthcare  The First Hospital of Jilin University  

Application of high-resolution 3D vessel wall MR(3D VW-MR) imaging in Primary Angiitis of the Central Nervous System

Assessment of Glx and GABA levels in the Global Developmental Disability Children: A Magnetic Resonance Spectroscopy Study

Clinical Feasibility of Compressed SENSE Artificial Intelligence Accelerated SWI in Cerebral Hemorrhage Imaging

Fetal brain T1-weighted imaging with a deep learning constrained compressed SENSE reconstruction

Author:Jing Wang  Zhuo Wang  Yi Zhu  Ke Jiang  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 28: Pediatrics, Normal Development & Aging  

Session Name:Pediatric Imaging  

Program Number:3719  

Room Session:1  

Institution:Philips Healthcare  The First Hospital of Jilin University  

Golden-angle radial sparse parallel (GRASP) and simultaneous multi-slice RESOLVE DWI MRI in evaluation of postoperative pituitary adenomas

Non-contrast-enhanced mDixon water-fat separation whole-heartcoronary MRA with a deep learning constrained Compressed SENSE reconstruction

Performance Evaluation of high resolution T2-TSE sequence based on simultaneous multi-slice (SMS) in Female Pelvis MRI

A preliminary study of hemodynamic assessments of cerebral venous sinus stenosisusing 4Dflow MRI

Striatum-thalamus microstructural alterations in levodopa-induced dyskinesia using four advanced diffusion models

Using the Artificial Intelligence Based Compressed SENSE Technology in Acute Cerebral Infarction