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公开(公告)号:EP3764118A1
公开(公告)日:2021-01-13
申请号:EP19185661.6
申请日:2019-07-11
发明人: ZHANG, Yajing , WU, Peng , ZHAO, Chen Guang
IPC分类号: G01R33/565
摘要: Embodiment of the present invention provides a method for generating a quality degradation model of an imaging system with a hardware imperfection. The method comprises the steps of obtaining a first image from a first simulation of the imaging system without the hardware imperfection, obtaining a second image from a second simulation of the imaging system with the hardware imperfection, and generating the quality degradation model learnt with a mapping function from an input degraded image measured from the imaging system to an output corrected image based on a plurality of input and out image pairs. The input image in each image pair comprises the second image, and the output image in each image pair comprises the first image. The quality degradation from the output image to the input image in each image pair characterizes a type of quality degradation specific to the hardware imperfection.
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公开(公告)号:EP3599611A1
公开(公告)日:2020-01-29
申请号:EP18185117.1
申请日:2018-07-24
发明人: AMTHOR, Thomas Erik , WANG, Lloyd , ZHAO, Chen Guang , SCHMIDT, Joachim , BORGERT, Jörn , ZHANG, Yajing Yj , GRAESSLIN, Ingmar , NORDHOFF, Tanja
摘要: The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject (318) using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.
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