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
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    发明申请
    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 有权
    BIODATA模型制备方法和设备,BIODATA模型的数据结构和BIODATA模型的数据存储设备,以及负载分散方法和3D数据模型的设备

    公开(公告)号:US20110150312A1

    公开(公告)日:2011-06-23

    申请号:US13003607

    申请日:2009-07-10

    IPC分类号: G06K9/00

    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.

    摘要翻译: 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,并且将目标器官与图像数据分离以制备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, 并实现对活体的动态模拟。 通过CT和MRI捕获身体的相同目标部分以获得医学图像。 设置CT图像和MRI图像对,从CT图像和MRI图像组中选择并设置显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,并且该转换 系数用于通过投影变换和线性插值重新排列MRI图像,将其与CT图像的轮廓组合,并校正其在​​轮廓中的位置。 此外,图像用于准备3D数据模型。