首页> 外国专利> Biodata model preparation method and apparatus, data structure of biodata model and data storage device of biodata model, and load dispersion method and apparatus of 3D data model

Biodata model preparation method and apparatus, data structure of biodata model and data storage device of biodata model, and load dispersion method and apparatus of 3D data model

机译:生物数据模型的制备方法和装置,生物数据模型的数据结构和生物数据模型的数据存储装置以及3D数据模型的负载分散方法和装置

摘要

Medical image data is utilized, physical values are assigned to body parts based on image information, and the target organs are separated from the image data to prepare a 3D biodata model to thereby realize a data model unique to a patient, having an internal structure, and enabling dynamic simulation of a live body. The same target part of a body is captured by CT and MRI to obtain medical images. Sets of pairs of CT images and MRI images are set, a plurality of features showing the same locations are selected and set from the sets of CT images and MRI images, a conversion coefficient between the CT images and MRI images is obtained, and this conversion coefficient is used to rearrange the MRI images by projection transforms and linear interpolation, combine them with the contours of the CT images, and correct their positions in the contours. Further, the images are used to prepare a 3D data model.
机译:利用医学图像数据,基于图像信息将物理值分配给身体部位,并从图像数据中分离目标器官,以准备3D生物数据模型,从而实现具有内部结构的患者独有的数据模型,并可以动态模拟活体。通过CT和MRI捕获人体的同一目标部位以获得医学图像。设置成对的CT图像和MRI图像的集合,从表示CT图像和MRI图像的集合中选择并显示表示相同位置的多个特征,获得CT图像和MRI图像之间的转换系数,并进行该转换。系数用于通过投影变换和线性插值来重新排列MRI图像,将其与CT图像的轮廓合并,并校正其在​​轮廓中的位置。此外,图像用于准备3D数据模型。

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