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公开(公告)号：US09489589B2
公开(公告)日：2016-11-08
申请号：US14546073
申请日：2014-11-18
CPC分类号： G06K9/4647 , G06T7/0012 , G06T7/11 , G06T7/162 , G06T7/187 , G06T7/90 , G06T2200/04 , G06T2207/10072 , G06T2207/10081 , G06T2207/20021 , G06T2207/20072 , G06T2207/30004
摘要： An information processing method includes: converting voxel data to node data in which a voxel, which has a brightness value that is outside a certain brightness value range, is set as a first node, and a voxel, which has a brightness value that is within the certain brightness value range, is set as a second node that has a capability to extract relating nodes based on a neighborhood relationship between voxels; performing, for each second node, a calculation processing to calculate an output value of a reaction-diffusion equation by using a value corresponding to a brightness value of the second node and values corresponding to brightness values of relating nodes extracted from the second node, a predetermined number of times; and determining a brightness value of each second node from the output value of the reaction-diffusion equation after performing the calculation processing the predetermined number of times.
摘要翻译： 信息处理方法包括：将体元数据转换为其中具有超出特定亮度值范围的亮度值的体素被设置为第一节点的节点数据，以及具有在其内部的亮度值的体素 该特定亮度值范围被设置为具有基于体素之间的邻域关系提取相关节点的能力的第二节点; 对于每个第二节点执行计算处理，以通过使用对应于第二节点的亮度值的值和与从第二节点提取的相关节点的亮度值相对应的值来计算反应扩散方程的输出值， 预定次数; 以及在执行所述计算处理所述预定次数之后，根据所述反应扩散方程式的输出值确定每个第二节点的亮度值。
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公开(公告)号：US09390549B2
公开(公告)日：2016-07-12
申请号：US14629541
申请日：2015-02-24
CPC分类号： G06T15/08 , A61B6/032 , A61B6/466 , A61B6/5211 , A61B2576/00 , G06T7/0012 , G06T7/11 , G06T7/143 , G06T7/149 , G06T15/50 , G06T2207/10072 , G06T2207/20076 , G06T2207/20081 , G06T2207/20104 , G06T2207/30048
摘要： A shape data generation method relating to this invention includes: first generating first three-dimensional voxel data that represents a target object by using first tomographic images, in which a first region occupied by the target object is designated, among plural tomographic images; extracting, from the first tomographic images, brightness values of voxels included in the first region; second generating a function for calculating a probability that a voxel is included in the first region by using the extracted brightness values; calculating, for each voxel among voxels in a voxel space that includes the plural tomographic images, a probability by using a brightness value of the voxel and the function; and third generating second three-dimensional voxel data that represents the target object by using the first three-dimensional voxel data and probabilities calculated for the voxels in the voxel space.
摘要翻译： 本发明的形状数据生成方法包括：通过使用在多个断层图像中指定由所述目标对象占据的第一区域的第一断层图像来生成表示目标对象的第一三维体素数据; 从所述第一断层图像中提取包括在所述第一区域中的体素的亮度值; 第二产生用于通过使用提取的亮度值来计算体素包含在第一区域中的概率的函数; 通过使用体素的亮度值和函数来计算包含多个断层图像的体素空间中的体素中的每个体素， 以及第三生成通过使用第一三维体素数据和为体素空间中的体素计算的概率来表示目标对象的第二三维体素数据。
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公开(公告)号：US09836891B2
公开(公告)日：2017-12-05
申请号：US14602829
申请日：2015-01-22
CPC分类号： G06T19/20 , G06T17/20 , G06T2210/41 , G06T2211/40 , G06T2219/2016 , G06T2219/2021
摘要： A shape data generation method includes: generating a target shape of transformation from plural tomographic images of an object; specifying, from among plural vertices of a first shape that is a reference shape of the object, plural first vertices, each first vertex of which satisfies a condition that a normal line of the first vertex passes through a point that is located on the target shape and is located on a boundary of the object in any one of the plural tomographic images; identifying, for each of the plural first vertices, a second vertex that internally divides a segment between the first vertex and the point; transforming the first shape so as to put each of the plural first vertices on a corresponding second vertex; setting a shape after the transforming to the first shape; and executing the first specifying and the subsequent processings a predetermined number of times.
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公开(公告)号：US10891787B2
公开(公告)日：2021-01-12
申请号：US16416717
申请日：2019-05-20
摘要： A biological model creation apparatus sets a plurality of control points respectively corresponding to a plurality of target points set on a plurality of valve annuli of a specified heart, on a plurality of valve annuli in a mesh model of a heart. Then, the biological model creation apparatus determines the positions of the control points in the mesh model on the basis of a first and second evaluation value regarding the positions of the plurality of control points. The first evaluation value indicates a degree of matching to relative positions among target points belonging to the same valve annulus. The second evaluation value indicates a degree of matching to relative positions among target points belonging to different valve annuli. Then, the biological model creation apparatus deforms the mesh model such that the positions of the plurality of control points coincide with the positions of their corresponding target points.
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公开(公告)号：US09607423B2
公开(公告)日：2017-03-28
申请号：US14604258
申请日：2015-01-23
发明人： Machiko Nakagawa , Kohei Hatanaka , Toshiaki Hisada , Seiryo Sugiura , Takumi Washio , Jun-ichi Okada
CPC分类号： G06T15/00 , G06K9/52 , G06T3/0056 , G06T3/0093 , G06T7/0012 , G06T7/12 , G06T7/149 , G06T19/20 , G06T2207/10072 , G06T2207/30048 , G06T2207/30104 , G06T2219/2021
摘要： This shape data generation method include: setting an input shape that has a simple shape that has a same topology as the target shape for a target shape that is a shape of a transformation target identified from image data; identifying first vertices that satisfy a predetermined condition including a first condition that a normal line of a certain vertex of the plural vertices crosses with the target shape, among plural vertices of the input shape; transforming the input shape so that a first vertex is moved in a direction of a normal line of the first vertex by a first distance that is shorter than a distance up to the target shape; and performing the identifying and the transforming a predetermined number of times while changing the input shape after the transforming as the input shape to be processed.
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公开(公告)号：US20150146954A1
公开(公告)日：2015-05-28
申请号：US14546073
申请日：2014-11-18
CPC分类号： G06K9/4647 , G06T7/0012 , G06T7/11 , G06T7/162 , G06T7/187 , G06T7/90 , G06T2200/04 , G06T2207/10072 , G06T2207/10081 , G06T2207/20021 , G06T2207/20072 , G06T2207/30004
摘要： An information processing method includes: converting voxel data to node data in which a voxel, which has a brightness value that is outside a certain brightness value range, is set as a first node, and a voxel, which has a brightness value that is within the certain brightness value range, is set as a second node that has a capability to extract relating nodes based on a neighborhood relationship between voxels; performing, for each second node, a calculation processing to calculate an output. value of a reaction-diffusion equation by using a value corresponding to a brightness value of the second node and values corresponding to brightness values of relating nodes extracted from the second node, a predetermined number of times; and determining a brightness value of each second node from the output value of the reaction-diffusion equation after performing the calculation processing the predetermined number of times.
摘要翻译： 信息处理方法包括：将体元数据转换为其中具有超出特定亮度值范围的亮度值的体素被设置为第一节点的节点数据，以及具有在其内部的亮度值的体素 该特定亮度值范围被设置为具有基于体素之间的邻域关系提取相关节点的能力的第二节点; 对于每个第二节点执行计算处理以计算输出。 通过使用与第二节点的亮度值相对应的值和对应于从第二节点提取的相关节点的亮度值的值，反应扩散方程的值，预定次数; 以及在执行所述计算处理所述预定次数之后，根据所述反应扩散方程式的输出值确定每个第二节点的亮度值。
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公开(公告)号：US11892387B2
公开(公告)日：2024-02-06
申请号：US16902303
申请日：2020-06-16
申请人： FUJITSU LIMITED
发明人： Kohei Hatanaka , Tamon Suwa , Masaki Kazama
CPC分类号： G01N15/1012 , G06F30/25 , G01N2015/1025 , G01N2015/1075
摘要： Technique includes acquiring first contact data of first time, associated with first particle in first region; calculating first position data on particles in the first region at second time, and receiving second position data on particles in second region at the second time; detecting second particle being in contact with the first particle and in the first region at the first time and being in the first region at the second time; copying, when the first and second particles are in contact at the second time, displacement of the second particle from the first contact data to second contact data of the second time; detecting third particle being in the first or second region at the second time and in contact with the first particle; and copying, when the third particle is listed in the first contact data, displacement of the third particle to the second contact data therefrom.
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公开(公告)号：US09292968B2
公开(公告)日：2016-03-22
申请号：US14515149
申请日：2014-10-15
申请人： FUJITSU LIMITED
发明人： Kohei Hatanaka , Masaki Kazama
摘要： A mapping method includes; mapping first and second models, each represented by polygonal elements of meshes and including a same number of regions, to a first and a second spherical surfaces, respectively; approximating boundaries of the regions by curves and moving nodes based on the curve approximation; associating the nodes on the boundary of first sphere with points on the boundary of the second sphere; moving the nodes other than the nodes on the boundary by minimizing changes of shapes and areas of the polygonal elements under a constraint that the nodes on the boundary of the first sphere are placed at positions corresponding to the associated points on the second sphere; and calculating a point in the second model for each of the nodes in the first model, from the corresponding node after the movement on the first sphere and corresponding polygonal elements on the second sphere.
摘要翻译： 映射方法包括： 将由网格的多边形元素表示并包括相同数量的区域的第一和第二模型分别映射到第一和第二球面; 基于曲线近似，通过曲线和移动节点近似区域的边界; 将第一球体的边界上的节点与第二球体的边界上的点相关联; 通过使第一球体的边界上的节点位于与第二球体上的相关点相对应的位置的约束下，使边界上的节点之外的最小化多边形元素的形状和面积的变化来移动边界以外的节点; 以及针对第一模型中的每个节点，从第一球体上的运动之后的对应节点和第二球体上的相应多边形元素计算第二模型中的点。
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公开(公告)号：US10699479B2
公开(公告)日：2020-06-30
申请号：US16572630
申请日：2019-09-17
申请人： FUJITSU LIMITED
发明人： Kohei Hatanaka , Machiko Nakagawa
摘要： A biological model generating apparatus establishes, for each of a plurality of nodes on a centerline of a blood vessel, based on blood vessel information, a first circle and a second circle on a plane cutting through the node and intersecting the centerline at a right angle. The first circle centers at the node and has a first radius obtained by adding a margin of error to the radius of the blood vessel. The second circle centers at the node and has a second radius obtained by subtracting the margin of error from the radius. Subsequently, the generating apparatus generates an implicit function defining a curved surface that intersects the plane cutting through each of the plurality of nodes, at the inner side of the first circle but the outer side of the second circle. Then, the generating apparatus generates a mesh model based on the defined curved surface.
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