作者: M. Zaitsev , J. Hennig , O. Speck
DOI: 10.1002/MRM.20261
关键词: Parallel imaging 、 Artificial intelligence 、 Imaging phantom 、 Electromagnetic coil 、 Context (language use) 、 Computer vision 、 Computer science 、 Acceleration 、 Ultrashort pulse 、 Point spread function 、 Magnetic resonance imaging
摘要: Echo-planar imaging (EPI) is an ultrafast magnetic resonance (MR) technique prone to geometric distortions. Various correction techniques have been developed remedy these Here improvements of the point spread function (PSF) mapping approach are presented, which enable reliable and fully automated distortion echo-planar images at high field strengths. The novel method compatible with EPI acquisitions using parallel imaging. applicability further accelerate PSF acquisition shown. possibility collecting data sets total acceleration factors higher than number coil elements demonstrated. Additionally, a new visualize interpret distortions in context various reconstruction methods based on proposed. performance demonstrated phantom volunteer scans strengths up 4 T.