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    • 1. 发明申请
    • SURGICAL ASSISTANCE PLANNING METHOD USING LUNG MOTION ANALYSIS
    • 使用肺运动分析的手术辅助计划方法
    • US20120288173A1
    • 2012-11-15
    • US13107471
    • 2011-05-13
    • Lav RaiJason David GibbsHenky Wibowo
    • Lav RaiJason David GibbsHenky Wibowo
    • G06K9/32
    • G06T7/0012A61B6/5264G06K9/32G06K9/46G06K2009/4666G06T7/20G06T7/246G06T17/00G06T2207/10076G06T2207/30061
    • A medical analysis method for estimating a motion vector field of the magnitude and direction of local motion of lung tissue of a subject is described. In one embodiment a first 3D image data set of the lung and a second 3D image data set is obtained. The first and second 3D image data sets correspond to images obtained during inspiration and expiration respectively. A rigid registration is performed to align the 3D image data sets with one another. A deformable registration is performed to match the 3D image data sets with one another. A motion vector field of the magnitude and direction of local motion of lung tissue is estimated based on the deforming step. The motion vector field may be computed prior to treatment to assist with planning a treatment as well as subsequent to a treatment to gauge efficacy of a treatment. Results may be displayed to highlight.
    • 描述用于估计对象的肺组织的局部运动的大小和方向的运动矢量场的医学分析方法。 在一个实施例中,获得肺的第一3D图像数据集和第二3D图像数据集。 第一和第二3D图像数据集分别对应于在吸气和呼气期间获得的图像。 执行刚性配准以将3D图像数据集彼此对准。 执行可变形登记以将3D图像数据集彼此匹配。 基于变形步骤估计肺组织局部运动的大小和方向的运动矢量场。 可以在治疗之前计算运动矢量场以协助计划治疗以及治疗以评估治疗的功效。 可能会显示结果以突出显示。
    • 4. 发明授权
    • Surgical assistance planning method using lung motion analysis
    • 外科辅助计划方法采用肺动静态分析
    • US09020229B2
    • 2015-04-28
    • US13107471
    • 2011-05-13
    • Lav RaiJason David GibbsHenky Wibowo
    • Lav RaiJason David GibbsHenky Wibowo
    • G06K9/00G06T7/20
    • G06T7/0012A61B6/5264G06K9/32G06K9/46G06K2009/4666G06T7/20G06T7/246G06T17/00G06T2207/10076G06T2207/30061
    • A medical analysis method for estimating a motion vector field of the magnitude and direction of local motion of lung tissue of a subject is described. In one embodiment a first 3D image data set of the lung and a second 3D image data set is obtained. The first and second 3D image data sets correspond to images obtained during inspiration and expiration respectively. A rigid registration is performed to align the 3D image data sets with one another. A deformable registration is performed to match the 3D image data sets with one another. A motion vector field of the magnitude and direction of local motion of lung tissue is estimated based on the deforming step. The motion vector field may be computed prior to treatment to assist with planning a treatment as well as subsequent to a treatment to gauge efficacy of a treatment. Results may be displayed to highlight.
    • 描述用于估计对象的肺组织的局部运动的大小和方向的运动矢量场的医学分析方法。 在一个实施例中,获得肺的第一3D图像数据集和第二3D图像数据集。 第一和第二3D图像数据集分别对应于在吸气和呼气期间获得的图像。 执行刚性配准以将3D图像数据集彼此对准。 执行可变形登记以将3D图像数据集彼此匹配。 基于变形步骤估计肺组织局部运动的大小和方向的运动矢量场。 可以在治疗之前计算运动矢量场以协助计划治疗以及治疗以评估治疗的功效。 可能会显示结果以突出显示。