DEEP LEARNING TECHNIQUES FOR SUPPRESSING ARTEFACTS IN MAGNETIC RESONANCE IMAGES

Techniques for removing artefacts, such as RF interference and/or noise, from magnetic resonance data. The techniques include: obtaining (302) input magnetic resonance data using at least one radio-frequency coil (526) of a magnetic resonance imaging system (500); and generating (306) a magnetic res...

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Bibliographic Details
Main Authors TANG, Sunli, SOFKA, Michal, MOSHEN SALEHI, Seyed Sadegh, POOLE, Michael Stephen, DYVORNE, Hadrien A, LAZARUS, Carole, KUNDU, Prantik, ROTHBERG, Jonathan M, O'HALLORAN, Rafael, SACOLICK, Laura, SCHLEMPER, Jo
Format Patent
LanguageEnglish
French
German
Published 20.12.2023
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
TESTING
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Summary:Techniques for removing artefacts, such as RF interference and/or noise, from magnetic resonance data. The techniques include: obtaining (302) input magnetic resonance data using at least one radio-frequency coil (526) of a magnetic resonance imaging system (500); and generating (306) a magnetic resonance image from the input magnetic resonance data at least in part by using a neural network model (130) to suppress (304, 308) at least one artefact in the input magnetic resonance data.
Bibliography:Application Number: EP20230192144