Achieving Rapid and Accurate Relaxometry of Whole Knee Joint using Self-Supervised Deep Learning

Advanced Low-Field MRI of Hip Arthroplasty Implants: First Experience at 0.55 T

Assessment of Gd concentration estimated in DCE-MRI with multiple flip angles

Characterizing time-dependent diffusion in the extra-axonal space of white matter for axon loss and demyelination

Deep Learning Based Super-resolution of Diffusion MRI Data

Author:Zifei Liang  Jiangyang Zhang  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Diffusion Acquisition & Post-Processing  

Session Name:Diffusion Acquisition & Post-Processing  

Program Number:1348  

Room Session:Concurrent 6  

Institution:New York University School of Medicine  

Deep learning reconstruction enables highly accelerated T2 weighted prostate MRI

Author:Patricia Johnson  Angela Tong  Paul Smereka  Awani Donthireddy  Robert Petrocelli  Hersh Chandarana  Florian Knoll  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4122  

Room Session:Concurrent 5  

Institution:New York University School of Medicine  

Detecting Respiratory Motion Using Accelerometer Sensors: Preliminary Insight

Diffusion MRI study of chemoradiation treatment response in patients with HPV positive oropharyngeal carcinoma

Group Average Tractography of the Human Brain using Direct Streamline Mapping

Author:Zifei Liang  Jiangyang Zhang  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Diffusion Tractography  

Session Name:Diffusion Tractography: Methods  

Program Number:4287  

Room Session:Concurrent 4  

Institution:New York University School of Medicine  

How do we know we measure tissue parameters, not the prior?

Author:Santiago Coelho  Els Fieremans  Dmitry Novikov  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Diffusion: Encoding & Estimation  

Session Name:Diffusion: Encoding & Estimation  

Program Number:0397  

Room Session:Concurrent 3  

Institution:New York University School of Medicine  

Joint sodium MR reconstruction and T2* estimation using anatomical regularization

Localization regime of diffusion in human gray matter on a high-gradient MR system: Sensitivity to soma size

Morphological and hemodynamic alterations of major brain feeding arteries across the lifespan

MP-Dixon-GRASP: Magnetization-Prepared Multiecho GRASP MRI for Free-Breathing Fat/Water-Separated 3D T1 Mapping

A Multi-Diffusion Model Investigation of White Matter Microstructure in Psychotic Spectrum Disorders

Optimized simultaneous 3D proton MRF and sodium MRI

Protecting MR Data: Legal Issues (GDPR, HIPAA, FDA)

Author:Yvonne Lui  

Session Type:Weekday Course  

Session Date:Sunday, 16 May 2021  

Topic:MR Data Security in a Dangerous Era  

Session Name:MR Data Security in a Dangerous Era  

Program Number:

Room Session:Concurrent 3  

Institution:New York University School of Medicine  

    Reconstruction of Non-Cartesian Data

    Author:Jakob Assländer  

    Session Type:Weekend Course  

    Session Date:Sunday, 16 May 2021  

    Topic:Image Reconstruction  

    Session Name:Image Reconstruction  

    Program Number:

    Room Session:Concurrent 4  

    Institution:New York University School of Medicine  

    Removal of Partial Fourier-Induced Gibbs (RPG) Ringing artifacts in MRI

    Robust Estimation of Fascicle-based Fractional Anisotropy on Fiber Crossings

    Significance of 3D Isotropic Resolution for Image Texture Analysis of Pharmacokinetic Model Parametric Maps

    Software for T1? Mapping in the Knee: Addressing the Critical Role of Motion Correction

    Three-Compartment IVIM Model Applied to Psychotic Spectrum Disorders

    Tumor intracellular water residence time measured by DCE-MRI negatively correlates with the standard update value of 18F-FDG-PET

    Universal Sampling Denoising (USD) for noise mapping and noise removal of non-Cartesian MRI

    A web-accessible tool for rapid analytical simulations of MR coils via cloud computing

    What can a rat tell about physics beyond Standard Model: Exchange or structural disorder?