发明名称 METHOD FOR POST-PROCESSING MAGNETIC RESONANCE IMAGING IMAGES IN A CLINICAL CONTEXT
摘要 A method for post-processing images of a region of interest in a subject, the images being acquired with a magnetic resonance imaging technique, the method for post-processing comprising at least the step of: unwrapping the phase of each image,extracting a real signal over echo time for at least one pixel of the unwrapped images, andcalculating fat characterization parameters by using a fitting technique applied on a model,the model being a function which associates to a plurality of parameters each extracted real signal, the plurality of parameters comprising at least two fat characterization parameters and at least one parameter obtained by a measurement,the fitting technique being a non-linear least-square fitting technique using pseudo-random initial conditions.
申请公布号 US2016310035(A1) 申请公布日期 2016.10.27
申请号 US201514695723 申请日期 2015.04.24
申请人 INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM) ;Universite Paris Diderot - Paris 7 发明人 LEPORQ Benjamin;LAMBERT Simon;VAN BEERS Bernar
分类号 A61B5/055;G01R33/56;A61B5/00;G01R33/48 主分类号 A61B5/055
代理机构 代理人
主权项 1. A method for post-processing images of a region of interest in a subject, the images being acquired with a magnetic resonance imaging technique, the magnetic resonance imaging technique involving successive echoes of a multiple-gradient echo sequence, each image associating to each pixel of the image the amplitude of the measured signal in the magnetic resonance imaging technique and the phase of the measured signal in the magnetic resonance imaging technique, the method for post-processing comprising at least the step of: unwrapping the phase of each image, to obtain unwrapped images, extracting a real signal over echo time for at least one pixel of the unwrapped images, to obtain at least one extracted real signal, calculating fat characterization parameters by using a fitting technique applied on a model, the model being a function which associates to a plurality of parameters each extracted real signal, the plurality of parameters comprising at least two fat characterization parameters and at least one parameter obtained by a measurement, the fitting technique being a non-linear least-square fitting technique using pseudo-random initial conditions.
地址 Paris FR
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