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Measuring extracranial magnetic field changes due to head motion during multi-slice EPI acquisition

Author:Laura Bortolotti  Richard Bowtell  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Brain & Body  

Program Number:1379  

Room Session:Concurrent 1  

Institution:Sir Peter Mansfield Imaging Centre, University of Nottingham  

Measuring Ventricular Microstructure & Strain

Author:Daniel Ennis  

Session Type:Weekend Course  

Session Date:Saturday, 15 May 2021  

Topic:Cardiovascular MRI: From Disease to Diagnosis  

Session Name:Cardiovascular MRI: From Disease to Diagnosis  

Program Number:

Room Session:Concurrent 1  

Institution:Stanford University  

    Mechanism and quantitative assessment of saturation transfer for water-based detection of the aliphatic protons in carbohydrate polymers

    MEDI-d: Downsampled Morphological Priors for Shadow Reduction in Quantitative Susceptibility Mapping

    MERLIN: Motion Insensitive Silent Neuroimaging

    Author:Emil Ljungberg  Tobias Wood  Ana Beatriz Solana  Steven Williams  Gareth Barker  Florian Wiesinger  

    Session Type:Oral  

    Session Date:Monday, 17 May 2021  

    Topic:Motion Correction Strategies  

    Session Name:Motion Correction Strategies  

    Program Number:0120  

    Room Session:Concurrent 1  

    Institution:GE Healthcare  King's College London  

    A Method for Correcting Non-linear Errors in Radial Trajectories

    A method to rapidly quantify whole-organ metabolic rate of O2 with interleaved background-suppressed T2-oximetry and blood flow measurement

    MGRAPPA: Motion Corrected GRAPPA for MRI

    Minimization of Eddy Current Related Artefacts in Hybrid-State Sequences

    Minimizing motion artifacts in myocardial quantitative mapping by combined use of motion-sensitive CINE imaging and FEIR

    Mobile application for in vivo MR spectroscopy: Pocket MRS

    Model-based motion correction outperforms a model-free method in quantitative renal MRI

    A Modified Generative Adversarial Network using Spatial and Channel-wise Attention for Compressed Sensing MRI Reconstruction

    MoG-QSM: A Model-basedGenerative Adversarial DeepLearning Network for Quantitative Susceptibility Mapping

    Molecular Imaging of Atherosclerosis

    Author:Zahi Fayad  

    Session Type:Weekend Course  

    Session Date:Saturday, 15 May 2021  

    Topic:Vascular Pathology & Imaging  

    Session Name:Vascular Pathology & Imaging  

    Program Number:

    Room Session:Concurrent 1  

    Institution:Icahn School of Medicine at Mount Sinai  

      Mono-planar T-Hex EPI

      Author:Maria Engel  Lars Kasper  Klaas Prüssmann  

      Session Type:Digital Poster  

      Session Date:Monday, 17 May 2021  

      Topic:Novel Acquisitions  

      Session Name:Data Acquisition Sampling Trajectories  

      Program Number:0885  

      Room Session:Concurrent 1  

      Institution:Institute for Biomedical Engineering, ETH Zurich  

      Motion Correction and Registration Networks for Multi-Contrast Brain MRI

      Author:Jongyeon Lee  Byungjai Kim  Wonil Lee  Hyunwook Park  

      Session Type:Digital Poster  

      Session Date:Monday, 17 May 2021  

      Topic:Motion Correction Strategies  

      Session Name:Motion: Methods  

      Program Number:1361  

      Room Session:Concurrent 1  

      Institution:Korean Advanced Institute of Science and Technology  

      Motion correction in MRI with large movements using deep learning and a novel hybrid loss function

      Motion Correction of Abdominal Diffusion-Weighted MRI Using Internal Motion Vectors

      Motion Estimationfor Brain Imaging at Ultra-High Field Using Pilot-Tone:Comparison with DISORDER Motion Compensation

      Motion Robust Free-Breathing MR-Fingerprinting

      Motion Robust Parallel Transmission Excitation Pulse Design for Ultra-High Field MRI

      Author:Luke Watkins  Alix Plumley  Kevin Murphy  Emre Kopanoglu  

      Session Type:Digital Poster  

      Session Date:Thursday, 20 May 2021  

      Topic:New strategies in RF Pulse Design  

      Session Name:RF Pulses  

      Program Number:3951  

      Room Session:Concurrent 1  

      Institution:CUBRIC, Cardiff University  

      Motion-corrected 3D-EPTI with 4D navigatorfor fast and robust whole-brain quantitative imaging

      Author:Zijing Dong  Fuyixue Wang  Jie Xiang  Kawin Setsompop  

      Session Type:Oral  

      Session Date:Monday, 17 May 2021  

      Topic:Motion Correction Strategies  

      Session Name:Motion Correction Strategies  

      Program Number:0119  

      Room Session:Concurrent 1  

      Institution:Massachusetts General Hospital  Stanford University  Tsinghua University  MIT  

      Motion-resolved B1+ prediction using deep learning for real-time pTx pulse-design.

      Motion-Resolved Brain MRI for Quantitative Multiparametric Mapping

      Motion-robust T2-weighted TSE imaging in the prostate by performing non-rigid registration between averages

      Author:Katja Bogner  Elisabeth Weiland  Thomas Benkert  Karl Engelhard  

      Session Type:Digital Poster  

      Session Date:Monday, 17 May 2021  

      Topic:Motion Correction Strategies  

      Session Name:Motion: Brain & Body  

      Program Number:1384  

      Room Session:Concurrent 1  

      Institution:Martha-Maria Hospital  Siemens Healthcare GmbH  

      MR Fingerprinting Reconstruction based on Structured Low-rank Approximation and Subspace Modeling

      MR image super-resolution using attention mechanism: transfer textures from external database

      MR-based motion correction and anatomical guidance for improved PET image reconstruction in cardiac PET-MR imaging

      MRI denoising using native noise

      MRI super-resolution reconstruction: A patient-specific and dataset-free deep learning approach

      MRI-based deep learning model in differentiating benign from malignant renal tumors: a comparison study with radiomics analysis

      MRI-Based Response Prediction to Immunotherapy of Late-Stage Melanoma Patients Using Deep Learning

      MRSDB: A Scalable Multisite Data Library for Clinical and Machine Learning Applications of Magnetic Resonance Spectroscopy

      MRSequoia: A novel tool for MR sequence design, prototyping and validation.

      Multi-Band Multi-Slab 3D Multi-Echo Acquisition for Simultaneous Time-of-Flight MR Angiography and Susceptibility-Weighted Imaging at 3T

      Multiband Multitasking for Cardiac T1 Mapping

      Multi-channel and multi-group-based CNN Image Reconstruction using Equal-sized Multi-resolution Image Decomposition

      Multi-compartment MR Fingerprinting: an off-the-grid approach

      A Multicomponent Image Registration Technique for Largely Deformed Ventricles in Mouse Brain After Stroke

      Multi-component T2 Modeling for Improved Characterization of Abdominal Neoplasms

      Multi-contrast CS reconstruction using data-driven and model-based deep neural networks