RAFAEL WIEMKER,TOBIAS KLINDER,HEIKE RUPPERTSHOFEN,NICOLE SCHADEWALDT
申请号：
US16606249
公开号：
US20200043173A1
申请日:
2018.04.18
申请国别(地区):
US
年份:
2020
代理人:
摘要：
The present invention relates to a method (100) for modelling a composition of an object of interest, the method comprising the following steps: a) segmenting (101) object of interest image data provided by computer tomography image data resulting in a plurality of image segments； b) extracting (102) a determined Hounsfield density value from the object of interest image data for each image segment； c) defining (104) a component ratio of at least two component classes for the object of interest, the at least two component classes having different component Hounsfield density values； d) assigning (105) at least one component class to each image segment based on the corresponding determined Hounsfield density value resulting in simulated image segments comprising the component Hounsfield density values, the simulated image segments defining simulated image data of the object of interest； wherein a ratio of the assigned component classes corresponds to the component ratio； e) determining (107) a deviation between the simulated image data and the object of interest image data； and f) repeating (108) steps c) to e) with varied component ratios until the deviation corresponds to a predefined minimum deviation resulting in a final component ratio.
