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    • 1. 发明授权
    • Fused-image visualization for surgery evaluation
    • 用于手术评估的融合图像可视化
    • US09064332B2
    • 2015-06-23
    • US14017344
    • 2013-09-04
    • Gerardo Hermosillo ValadezXiang Sean ZhouGerhard KleinszigRainer Graumann
    • Gerardo Hermosillo ValadezXiang Sean ZhouGerhard KleinszigRainer Graumann
    • G06K9/00G06T11/00G06T7/00
    • G06T11/003G06T7/0014G06T2207/30008
    • Disclosed herein is a framework for facilitating fused-image visualization for surgery evaluation. In accordance with one aspect of the framework, at least one pre-operative image and at least one intra-operative image of an anatomical structure are received. A region of interest may be identified in the intra-operative image. The pre-operative image may be straightened, and a symmetric region may be identified in the straightened pre-operative image. The symmetric region is substantially symmetrical to a target region in the straightened pre-operative region. The target region corresponds to the region of interest in the intra-operative image. The symmetric region may be extracted and reflected to generate a reference image. The intra-operative image may be rigidly registered with the reference image to generate registered intra-operative image, which is overlaid on the target region in the straightened pre-operative image to generate a fused image.
    • 本文公开了用于促进用于手术评估的融合图像可视化的框架。 根据框架的一个方面,接收解剖结构的至少一个术前图像和至少一个手术内图像。 可以在手术中的图像中识别感兴趣的区域。 可以矫正术前图像,并且可以在矫正的手术前图像中识别对称区域。 对称区域基本对称于矫正术前区域中的目标区域。 目标区域对应于手术中图像中的感兴趣区域。 对称区域可以被提取和反射以产生参考图像。 可以将手术内图像与参考图像刚性地注册,以产生注册的手术中图像,其被覆盖在矫正的术前图像中的目标区域上以产生融合图像。
    • 2. 发明申请
    • Fused-Image Visualization for Surgery Evaluation
    • 融合图像可视化手术评估
    • US20140003700A1
    • 2014-01-02
    • US14017344
    • 2013-09-04
    • Gerardo Hermosillo ValadezXiang Sean ZhouGerhard KleinszigRainer Graumann
    • Gerardo Hermosillo ValadezXiang Sean ZhouGerhard KleinszigRainer Graumann
    • G06T11/00
    • G06T11/003G06T7/0014G06T2207/30008
    • Disclosed herein is a framework for facilitating fused-image visualization for surgery evaluation. In accordance with one aspect of the framework, at least one pre-operative image and at least one intra-operative image of an anatomical structure are received. A region of interest may be identified in the intra-operative image. The pre-operative image may be straightened, and a symmetric region may be identified in the straightened pre-operative image. The symmetric region is substantially symmetrical to a target region in the straightened pre-operative region. The target region corresponds to the region of interest in the intra-operative image. The symmetric region may be extracted and reflected to generate a reference image. The intra-operative image may be rigidly registered with the reference image to generate registered intra-operative image, which is overlaid on the target region in the straightened pre-operative image to generate a fused image.
    • 本文公开了用于促进用于手术评估的融合图像可视化的框架。 根据框架的一个方面,接收解剖结构的至少一个术前图像和至少一个手术内图像。 可以在手术中的图像中识别感兴趣的区域。 可以矫正术前图像,并且可以在矫正的手术前图像中识别对称区域。 对称区域基本对称于矫正术前区域中的目标区域。 目标区域对应于手术中图像中的感兴趣区域。 对称区域可以被提取和反射以产生参考图像。 可以将手术内图像与参考图像刚性地注册,以产生注册的手术中图像,其被覆盖在矫正的术前图像中的目标区域上以产生融合图像。
    • 5. 发明授权
    • Synchronized navigation of medical images
    • 医学图像同步导航
    • US09460510B2
    • 2016-10-04
    • US13853174
    • 2013-03-29
    • Gerardo Hermosillo ValadezMarcos SalganicoffMatthias WolfXiang Sean ZhouYiqiang Zhan
    • Gerardo Hermosillo ValadezMarcos SalganicoffMatthias WolfXiang Sean ZhouYiqiang Zhan
    • G06K9/00G06T7/00
    • G06T7/0028G06T7/33G06T2207/30004
    • Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location. While the user performs navigational operations on the first medical image, the framework repeatedly receives the selection of the given location, determines the target location using the non-linear mapping, and generates the optimized deformation-free view of the second medical image based at least in part on the target location.
    • 这里公开了一种促进同步图像导航的框架。 根据一个方面,至少接收第一和第二医学图像。 产生第一和第二医学图像之间的非线性映射。 响应于用户的导航操作接收对第一医疗图像中的给定位置的选择。 在不使第二医用图像变形的情况下,通过使用非线性映射来确定第二医用图像中的目标位置。 目标位置对应于第一医疗图像中的给定位置。 至少部分地基于目标位置产生第二医疗图像的优化的无变形视图。 当用户在第一医学图像上执行导航操作时,框架重复地接收对给定位置的选择,使用非线性映射确定目标位置,并且至少基于第二医学图像生成优化的无变形视图 部分在目标位置。
    • 9. 发明申请
    • Synchronized Navigation of Medical Images
    • 医学图像同步导航
    • US20140294263A1
    • 2014-10-02
    • US13853174
    • 2013-03-29
    • Gerardo Hermosillo ValadezMarcos SalganicoffMatthias WolfXiang Sean ZhouYiqiang Zhan
    • Gerardo Hermosillo ValadezMarcos SalganicoffMatthias WolfXiang Sean ZhouYiqiang Zhan
    • G06T7/00
    • G06T7/0028G06T7/33G06T2207/30004
    • Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location. While the user performs navigational operations on the first medical image, the framework repeatedly receives the selection of the given location, determines the target location using the non-linear mapping, and generates the optimized deformation-free view of the second medical image based at least in part on the target location.
    • 这里公开了一种促进同步图像导航的框架。 根据一个方面,至少接收第一和第二医学图像。 产生第一和第二医学图像之间的非线性映射。 响应于用户的导航操作接收对第一医疗图像中的给定位置的选择。 在不使第二医用图像变形的情况下,通过使用非线性映射来确定第二医用图像中的目标位置。 目标位置对应于第一医疗图像中的给定位置。 至少部分地基于目标位置产生第二医疗图像的优化的无变形视图。 当用户在第一医学图像上执行导航操作时,框架重复地接收对给定位置的选择,使用非线性映射确定目标位置,并且至少基于第二医学图像生成优化的无变形视图 部分在目标位置。