Browse All

Current Filters

CLEAR FILTER x

TITLE

Session Type:

Deep Learning-based Reconstruction of Accelerated MR Cholangiopancreatography

Deep learning-based Reconstruction with Super Resolution for Abdominal Diffusion Weighted Imaging

Deep learning-based scrubbing of fMRI data and its applications on delineating infant brain functional development trajectories

Deep Learning-Based Super Resolution Reconstruction for Quantitative Susceptibility Mapping

Deep Learning-based Super-Resolution Reconstruction for Brain Diffusion-weighted MRI

Deep Learning-Driven Enhancement of Fibre Orientation Distribution: Effect of Choice of Gradient Direction Number

Deep Learning-Driven Generation of Diffusion-Weighted Imaging for Acute Ischemic Stroke from Non-Contrast Computed Tomography

A deep neural network for Oxygen Extraction Fraction (OEF) mapping based on No Training

Author:Ada Ally  Junghun Cho  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Molecular & Metabolic Imaging  

Program Number:3181  

Room Session:Exhibition Hall (Hall 403)  

Institution:University at Buffalo  

Deep neural network pre-training on a simulated dataset for optical tracking of head motion without fiducial markers

Author:Marina Silic  Simon Graham  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:Not Your Usual RF Coils  

Program Number:1589  

Room Session:Exhibition Hall (Hall 403)  

Institution:Sunnybrook Research Institute  University of Toronto  

Deep Structure-Preserved Graph Embedding for Improved MRF Reconstruction

Author:Peng Li  Yuping Ji  Yue Hu  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:MRF Reconstruction  

Program Number:3564  

Room Session:Exhibition Hall (Hall 403)  

Institution:Harbin Institute of Technology  

Deep-learning reconstruction of under-sampled readout-segmented echo-planar diffusion-weighted images at multiple b values

Deep-learning segmentation of peri-sinus structures reveals changes across the human lifespan with implications for neurofluid circulation

A deep-learning-based framework for spark artifacts detection and correction

Author:Li Tong  Puwei Wang  Lei Zhu  Shucheng Qin  Zhenkui Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Artifacts Correction & Mitigation  

Program Number:2643  

Room Session:Exhibition Hall (Hall 403)  

Institution:Shanghai United Imaging Healthcare Co., Ltd.  

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

Deep-learning-based phase correction during reconstruction of high-resolution, multi-shot reduced-FOV pancreatic DWI.

Author:Ryan Brunsing  Alexandra Besser  Arnaud Guidon  Xinzeng Wang  Patricia Lan  

Session Type:Digital Poster  

Session Date:Wednesday, 08 May 2024  

Session Name:Hepatopancreaticobiliary: Benign I  

Program Number:4017  

Room Session:Exhibition Hall (Hall 403)  

Institution:GE HealthCare  Stanford  

A deep-learning-based Signal-to-Noise Ratio (SNR) adaptive uniformity correction method

Author:Li Tong  Puwei Wang  Zhenkui Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Artifacts Correction & Mitigation  

Program Number:2651  

Room Session:Exhibition Hall (Hall 403)  

Institution:Shanghai United Imaging Healthcare Co., Ltd.  

DeepSepSTI: Improved Susceptibility Tensor Reconstruction by Anisotropic Susceptibility Source Separation

Defining right ventricular energy metabolism in patients with pulmonary arterial hypertension using hyperpolarized [1-13C]pyruvate

Degree of endometrial fibrosis evaluated using diffusion weighted imaging: initial findings

Delayed CSF clearance may provide a more sensitive disease marker than blood-CSF-barrier impairment in an Alzheimer’s disease mouse model

Delivery of small mocluer drugs with Metal-Organic Cage-Based Microenvironment-Responsive Nanomedicine for Atherosclerosis theranostic

Denoise of Dynamic Sodium MRI imaging at 3T using MPPCA

Denoising Arterial Spin Labeling Perfusion MRI using Deep Learning Methods

Author:Zixuan Han  Zihan Ning  Xihai Zhao  

Session Type:Digital Poster  

Session Date:Thursday, 09 May 2024  

Session Name:AI-Enhanced Processing in the Brain  

Program Number:4512  

Room Session:Exhibition Hall (Hall 403)  

Institution:Tsinghua University  

Denoising AutoEncoder as a Pre-processor for Knee MRI Analysis

Denoising diffusion MRI with an improved non-local principal component analysis approach

Denoising intrinsic MRI repetitions using self-supervised iterative residual learning

Denoising very low field magnetic resonance images using native noise modeling and deep learning

Deriving and characterizing fiber tract specific anisotropic R2 from DTI

Author:Rajikha Raja  Yuxi Pang  Wilburn Reddick  

Session Type:Digital Poster  

Session Date:Monday, 06 May 2024  

Session Name:Structural Connectivity  

Program Number:2051  

Room Session:Exhibition Hall (Hall 403)  

Institution:St. Jude Children's Research Hospital  

Design and comissioning of a new field-cycling imaging scanner for clinical applications

Author:James Ross  Gareth Davies  David Lurie  Lionel Broche  

Session Type:Digital Poster  

Session Date:Tuesday, 07 May 2024  

Session Name:Optimal Sequence & Hardware Design in Low-Field MRI  

Program Number:2837  

Room Session:Exhibition Hall (Hall 403)  

Institution:University of Aberdeen  

Design of a Cryogenic RF Coil Prototype for a Full Body 1.5T MRI Receive Array

Design of a new MRE transducer - placed between tissue and coil

Design of a power independent of finite number of slices (PIFINS) pulse for simultaneous multi-slice imaging

Design of a segmented RF shield to minimize eddy currents on low-field Halbach MRI systems

Design of Multichannel Two-row Quadrature Transceive Array for Ultrahigh field MR Imaging

Design of novel loop coil array for B0 and gradient field generation

Design of RF front-end circuit module for human 14T MRI system

Designs of dielectric pad to improve B1 homogeneity and reduce SAR for the fetal imaging at 3T