DEEP LEARNING TECHNIQUES FOR SUPPRESSING ARTEFACTS IN MAGNETIC RESONANCE IMAGES

• Main Authors: Lazarus, Carole, Sacolick, Laura, Poole, Michael Stephen, Rothberg, Jonathan M, Schlemper, Jo, Dyvorne, Hadrien A, O'Halloran, Rafael, Sofka, Michal, Kundu, Prantik, Moshen Salehi, Seyed Sadegh, Tang, Sunli
• Format: Patent
• Language: English
• Published: 20.02.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS

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