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Active Transmit/Receive Switches for Low Field Magnetic Resonance (<100mT)

Assessing generalized multi-pool exchange tissue model MRI simulations for the modelling of an ultra-low field scanner

Gradient coil design and optimization with equivalent magnetic dipole method for ultra-low field MRI systems

Author:Sheng Shen  Zheng Xu  Neha Koonjoo  Matthew Rosen  

Institution:Chongqing University  MGH/A.A. Martinos Center for Biomedical Imaging  Harvard University  Harvard Medical School  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:MR Engineering  

Session Name:Gradient & Encoding Field Technology  

Program Number:4241  

Room Live Q&A Session:

Intuitive MRI Data Visualization and Reslicing Using Augmented Reality

Author:Bragi Sveinsson  Neha Koonjoo  Matthew Rosen  

Institution:Massachusetts General Hospital  Harvard Medical School  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Software Tools and Image Analysis  

Session Name:Software Tools  

Program Number:3652  

Room Live Q&A Session:

Life at the Bottom: Millitesla MRI in the 21st Century

Author:Matthew Rosen  

Institution:Massachusetts General Hospital  Harvard Medical School  Harvard University  

Session Type:Plenary Session  

Session Live Q&A Date:Wednesday, 12 August 2020  

Topic:Plenary Session Wednesday  

Session Name:Bringing MRI to Low-Resource Areas  

Program Number:

Room Live Q&A Session:Wednesday Plenary  

    Optimization of a close-fitting volume RF coil using linear programming for brain imaging at 6.5 mT

    Optimized Quadrature Head Coil Improves SNR in the Brain at 6.5mT

    Author:Neha Koonjoo  Sheng Shen  Charlotte Sappo  Matthew Rosen  

    Institution:A.A Martinos Center for Biomedical Imaging/MGH  Chongqing University  Vanderbilt University  Harvard Medical School  Harvard University  

    Session Type:Digital Poster  

    Session Live Q&A Date:Digital Poster (All Week)  

    Topic:RF coils  

    Session Name:RF Coils 2  

    Program Number:4045  

    Room Live Q&A Session:

    Predicting T2 Maps from Morphological OAI Images with an ROI-Focused GAN

    Quantitative characterization of image reconstruction training dataset complexity with Rademacher Complexity measures