利索-全球专利检索

  1. 登录
  2. 注册

搜索结果

37 条记录 (耗时 0.013 秒)

    APPARATUS AND METHOD FOR REGISTERING TWO MEDICAL IMAGES
    4.
    发明授权
    APPARATUS AND METHOD FOR REGISTERING TWO MEDICAL IMAGES 有权

    公开(公告)号：EP2462560B1

    公开(公告)日：2018-10-03

    申请号：EP10752363.1

    申请日：2010-08-05

    申请人： UCL Business PLC

    发明人： BARRATT, Dean ,  HU, Yipeng

    IPC分类号： G06T7/33 ,  G06T7/35

    CPC分类号： G06T7/344 ,  G06T7/35 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10136 ,  G06T2207/30004 ,  G06T2207/30081

    摘要： An embodiment of the invention provides a method and apparatus for registering two medical images with one another. A first medical image including a representation of a biological organ of a subject or for a population is obtained and the surface of the organ is identified in the first medical image. The identified surface is then used to construct a 3D geometric surface model of the organ. The geometric model is used to derive a motion model that incorporates information on the physical material properties of the organ and external forces that cause the organ to move and deform. A second medical image including a representation of the organ of the subject (or another subject, in the case that the first medical image is an atlas image) is obtained and an alignment is determined between a first surface normal vector field for the organ surface, derived from the geometric model, and a second surface normal vector field for the organ surface, derived by filtering the second medical image. The alignment accommodates deformation of the geometric model in accordance with the motion predicted by the motion model. The first and second medical images can then be registered with one another based on said determined model-to-image vector alignment (MIVA).

    ROBUST SURFACE REGISTRATION BASED ON PARAMETERIZED PERSPECTIVE OF IMAGE TEMPLATES
    7.
    发明公开
    ROBUST SURFACE REGISTRATION BASED ON PARAMETERIZED PERSPECTIVE OF IMAGE TEMPLATES 审中-公开

    公开(公告)号：EP3886044A1

    公开(公告)日：2021-09-29

    申请号：EP20216321.8

    申请日：2020-12-22

    申请人： INTEL Corporation

    发明人： WEISER, Or ,  KAUFMAN, Itay

    IPC分类号： G06T7/33 ,  G06T7/35

    摘要： Techniques related to performing image registration are discussed. Such techniques include converting a source image region and a target image portion from a color image space to a semantic space and iteratively converging homography parameters using the source image region and target image portion in the semantic space by applying iterations with some homography parameters allowed to vary and others blocked from varying and subsequent iterations with all homography parameters allowed to vary.

    A METHOD FOR DETERMINING A CORRESPONDENCE BETWEEN A SOURCE IMAGE AND A REFERENCE IMAGE
    9.
    发明公开
    A METHOD FOR DETERMINING A CORRESPONDENCE BETWEEN A SOURCE IMAGE AND A REFERENCE IMAGE 审中-公开

    公开(公告)号：EP3605465A1

    公开(公告)日：2020-02-05

    申请号：EP18186293.9

    申请日：2018-07-30

    申请人： Siemens Healthcare GmbH

    发明人： MANSI, Tommaso ,  MAILHE, Boris ,  LIAO, Rui ,  MIAO, Shun

    IPC分类号： G06T7/35 ,  G06K9/62

    摘要： A computer-implemented method of determining a correspondence between a source image and a reference image includes holding, in a memory: a generative model corresponding to a prior probability distribution of deformation fields, each deformation field corresponding to a respective co-ordinate transformation; and a conditional model for generating a style transfer probability distribution of reference images, given a source image and a deformation field. The method includes receiving first image data comprising the source image, receiving second image data comprising the reference image, determining an initial first deformation field, and
    iteratively performing an update process, until convergence, to update the first deformation field, to generate a converged deformation field representing the correspondence between the source image and the reference image. The update process includes: determining a change in one or more characteristics of the first deformation field to increase a posterior probability density associated with the first deformation field, given the source image and reference image; and changing the one or more characteristics in accordance with the determined change. The posterior probability density is based on a prior probability density associated with the first deformation field, the prior probability density determined using the generative model, and also a style transfer probability density associated with the reference image, given the source image and the first deformation field, the style transfer probability density determined using the conditional model.