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Quantitative MRI Analysis of Muscle Denervation

Author:Tim Li  Erin Argentieri  Emily Pedrick  Darryl Sneag  Ek Tan  

Session Type:Oral  

Session Date:Thursday, 12 May 2022  

Topic:Module 27: MSK II  

Session Name:Muscle  

Program Number:0671  

Room Session:ICC Capital Suite 10-11  

Institution:Hospital for Special Surgery  Weill Cornell Medical College  

Quantitative MRI biomarkers for cortical pathology in multiple sclerosis at 7 Tesla

Quantitative MRI in Major Depressive Disorder at 7T

Quantitative MRI measurements for T1 and T2 at 0.064T

Quantitative MRI to characterize diffusion-controlled release of gadolinium from a calcium sulphate matrix

Quantitative myocardial perfusion using whole-heart, 2D SMS and 3D sequences alternating every heartbeat

Author:Qi Huang  Jason Mendes  Ganesh Adluru  Edward DiBella  

Session Type:Online Gather.town Pitches  

Session Date:Thursday, 12 May 2022  

Topic:Module 26: Perfusion and Permeability  

Session Name:Perfusion & Permeability III  

Program Number:4880  

Room Session:1  

Institution:University of Utah  

Quantitative Susceptibility Mapping and R2* Mapping Suggest Demyelination in Silent Cerebral Infarcts in Sickle Cell Anaemia

Quantitative Susceptibility Mapping as an Alternative to CT for Localizing Gold Intraprostatic Fiducial Markers

Quantitative Susceptibility Mapping for Gold Fiducial Marker Localization in Prostate for MRI-Only Radiation Therapy Treatment Planning

Author:Jie Deng  Chenyang Shen  Junjie Wu  Steve Jiang  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 20: Cancer  

Session Name:Cancer I  

Program Number:3416  

Room Session:4  

Institution:UT Southwestern Medical Center  

Quantitative T1 and R2* mapping in the evaluation of renal function for diabetic nephropathy patients

Quantitative T1 and T2 measurements of metastatic bone lesions in prostate cancer patients: MR fingerprinting versus standard quantitative MRI

Quantitative T2* and T1 mapping of post-mortem MS tissue at 7T for discrimination of normal-appearing and dirty-appearing white matter pathology

Quantitative Ultrashort Echo Time (UTE) imaging of Osteochondral Junction

Quantitative UTE Double Echo Steady State (qUTE-DESS) for Simultaneous Mapping of T1, T2, and Diffusivity of Short T2 Tissues – Ex Vivo Study

Quantitative cerebrovascular reactivity MRI in mice using acetazolamide challenge

Quantitative Evaluation of Spinal Cord Cine-MRI with Optical Flow Analysis

Quantitative magnetic resonance imaging combined with three-dimensional image analysis in glioblastoma

Quantitative MR Imaging of Whole Intervertebral Disc: A Pre-Clinical Sample Study

Quantitative Relaxometry Metrics for Normal and Brain Tumor Tissues using MR Fingerprinting and Magnetic Resonance Image Compilation Methods

Quantitative Sodium MRI of the Intervertebral Discs at 7T

Quantitative susceptibility mapping in the dynamic evaluation of renal ischemia-reperfusion injury in rabbits: a feasibility study

Quantitative T2 mapping in early prediction of treatment response to chemoradiation for patients with local advanced rectal cancer

Author:Yuxi Ge  Weiqiang Dou  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 20: Cancer  

Session Name:Multiparameric MRI: Prostate & Rectal Cancer  

Program Number:3734  

Room Session:5  

Institution:Affiliated hospital of Jiangnan university  GE Healthcare  

Quantum Sensing of Local Neuronal Firings (qsLNF) in Human Brain via Proton (1H) MRI: Proof of Concept

Author:Yongxian Qian  Liz Calderon  Xingye Chen  Anli Liu  Yvonne Lui  Fernando Boada  

Session Type:Online Gather.town Pitches  

Session Date:Tuesday, 10 May 2022  

Topic:Module 23: MR Contrasts  

Session Name:MR Contrasts III  

Program Number:4088  

Room Session:4  

Institution:New York University  

Quiet quantitative susceptibility mapping with Looping Star

Author:Nikou Damestani  Ana Solana  Florian Wiesinger  Brice Fernandez  Steven Williams  David Lythgoe  

Session Type:Digital Poster  

Session Date:Wednesday, 11 May 2022  

Topic:Module 16: Diffusion  

Session Name:Susceptibility II  

Program Number:2468  

Room Session:Exhibition Hall:S8 & S9  

Institution:GE Healthcare  King's College London  

R1 and R2* Mismatch on Ferumoxytol-Enhanced MRI Predicts Response of Breast Cancer Brain Metastases to Liposomal Irinotecan

R Dispersion Imaging of Normal Tissues in Human Subjects at 3T

R1rho Dispersion in Lumbar Muscles

Author:Alan Rivera-Garcia  Jay Turner  Juan Uribe  Richard Dortch  John Gore  Ping Wang  

Session Type:Online Gather.town Pitches  

Session Date:Monday, 09 May 2022  

Topic:Module 27: MSK II  

Session Name:MSK III  

Program Number:3393  

Room Session:5  

Institution:Barrow Neurological Institute  Vanderbilt University Medical Center  

A Radial Flow Cell Perfusion System for Hyperpolarized 13C NMR Metabolic Studies at Low Oxygen Levels

Radial perfusion cardiac magnetic resonance imaging using deep learning image reconstruction.

Radiological Evaluation of Model-Based Reconstruction for Through-Plane Resolution Enhancement in T2-Weighted Spin-Echo Prostate MRI

Radiomic feature-based assessment of deep learning-based compressed sensing reconstruction

Radiomic Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Metastatic Risk

Radiomic Features Measured with Multiparametric Magnetic Resonance Imaging Predict Prostate Cancer Metastatic Risk

Radiomics based characterization of peritumoral edema segmented from DCE MRI to differentiate glioblastoma from solitary brain metastasis

Radiomics to Predict Pathological Complete Response in Patients with Triple Negative Breast Cancer

Radio-pathomic associations between MRI and complex histomorphometric features of prostate cancer

Radio-pathomic associations between MRI and complex histomorphometric features of prostate cancer

Radio-pathomic tumor probability maps in glioma patients using autopsy tissue samples as ground truth

Radio-pathomic tumor probability maps in glioma patients using autopsy tissue samples as ground truth

Rapid and High Resolution Pelvic MRI Using Deep Learning Reconstruction