Abstract: A geometric model of an organ represents its shape as a collection of elements formed from nodes and connections among them. A first vessel network model represents a network of first vessels whose diameters are larger than or equal to a threshold. A plurality of second vessel networks each represent a network of second vessels whose diameters are smaller than the threshold. In a simulator apparatus, a first analysis unit analyzes hemodynamics in the first vessels, based on the geometric model and first vessel network model of the organ and reflecting the motion of the organ. A second analysis unit analyzes hemodynamics in the second vessel network models connected to the nodes, by using output data of the first analysis unit which indicates the hemodynamics in the first vessels at each of the nodes.

Abstract: In a streakline visualization apparatus, a processing unit calculates, by using an expression including a correction value for correcting an error attributable to accelerated motion of a plurality of grid points represented by position information, time differential values of velocities of fluid on the plurality of grid points at each of the plurality of first time points. The processing unit calculates, based on the velocities and the time differential values of the velocities of the fluid on the plurality of grid points at each of the plurality of first time points, positions of a series of a plurality of particles sequentially outputted from a particle generation source as analysis time progresses at each of a plurality of second time points having a second time interval shorter than the first time interval. The processing unit generates display information about a streakline indicating the series of the plurality of particles.

Abstract: A streakline visualization apparatus sets a partial region including a discrete point at a first position on a first streakline in an analysis space as an analysis target region of the discrete point. Based on a velocity of fluid in the analysis target region indicated by fluid information, the apparatus calculates a second position indicating a destination of a particle on the discrete point at a second analysis time point. Next, based on information about a structure in the analysis target region indicated by structure information, the apparatus determines a region occupied by the structure in the analysis target region at the second analysis time point. Next, based on the first and second positions, the apparatus determines whether a second streakline has entered the occupied region. If the second streakline has not entered the occupied region, the apparatus displays the second streakline passing through the second position.

Abstract: In this visualization method, for each brightness value for voxels included in a predetermined Region Of Interest (ROI) in a three-dimensional volume data, opacity is set according to an appearance frequency of the brightness value. Then, three-dimensional image data is generated for a portion on and under a cross section set for the three-dimensional volume data, by using color data that corresponds to a brightness value of each voxel included in the ROI and the opacity of each brightness value. Then, a cross section image generated from data of voxels on the cross section and the three-dimensional image data are superimposed and displayed.

Abstract: A visualization apparatus includes a storage unit and a computation unit. The storage unit stores a three-dimensional model of a heart, excitation propagation data indicating temporal variations of electrical signal strength in myocardium during propagation of excitation in the heart, and infarct area data indicating locations of infarct areas in the heart. The computation unit places a measurement point on an accessory pathway between the infarct areas. Then based on the excitation propagation data, the computation unit determines a variation range of electrical signal strength as a range between its minimum and maximum values at the measurement point. The computation unit outputs a picture that visualizes propagation of cardiac excitation in the three-dimensional model, based on the excitation propagation data, by varying a visual property in the picture to represent variations of the electric signal strength within the determined variation range.

Abstract: A computer-readable recording medium stores a rendering program that renders simulation results and causes a computer to execute a process that includes detecting a range of physical values of a rendering element group to be rendern and of an area specified in a simulation model that is a set of elements each having a physical value for each position to be simulated; identifying from the simulation model, an adjacent element group that is a set of elements adjacent to rendering elements included in the rendering element group; determining whether the physical value of each adjacent element included in the adjacent element group is within the range; adding to the rendering element group, an adjacent element for which the physical value is determined to be included in the range; and rendering the simulation model according to the rendering element group to which the adjacent element has been added.

Abstract: 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.

Abstract: A computer-readable recording medium stores a rendering program that causes a computer to execute process that includes acquiring an internal organ model that is a set of elements having physical values according each position of an internal organ; setting a plurality of planes that form given angles with a line of sight from a viewpoint position, and intersect the internal organ model; assigning among the set of elements, a physical value of an element intersected by a plane set at the setting, to an element cross section that is a plane where the plane set at the setting intersects the element; and rendering, based on the physical value, the element cross section to which the physical value has been assigned.

Abstract: In a biological simulation apparatus, an operation unit represents a structure domain where tissues of a biological organ exist by a structure mesh model based on a Lagrange description method and a fluid domain where fluid inside the biological organ exists by an ALE fluid mesh model based on an ALE description method. In a fluid-structure interaction simulation, the operation unit deforms the structure mesh model, and then deforms the ALE fluid mesh model so as to form no gap on a first interface between a domain where a site other than a certain site of the biological organ in the structure domain exists and the fluid domain or no overlap with the structure domain. The operation unit captures a position of a second interface between a domain where the certain site exists and the fluid domain by using the ALE fluid mesh model as a reference.

Abstract: 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.

Abstract: A disclosed method includes: performing a processing for adjusting positions of voxel data for an object and data of a geometric model for the object; calculating, for each voxel included in a range defined by a cross section among plural voxels that are included in the voxel data, a voxel value of the voxel from physical values in elements of the geometric model, which are included in a predetermined range of the voxel, based on a relation between the cross section and vectors; and rendering an image by using the voxel value calculated for each voxel. A vector of the vectors is set for one element of plural elements included in the geometric model, the vectors represent a direction of an inner structure of the object, and the cross section is set for the voxel data and the geometric model data.

Abstract: An apparatus for presuming positions of organs is configured to transform plural organs included in a template that is a model including the plural organs so as to match a predetermined target organ among the plural organs in the template to a corresponding organ in volume data; and perform a first processing and a second processing a predetermined number of times. The first processing includes transforming a first organ selected among the plural organs in the template according to a corresponding first organ in the volume data, and the second processing includes transforming, for each of second organs that are predetermined organs, which are influenced by transformation of the first organ, the second organ according to transformation performed for third organs that are predetermined organs, which influence the second organ in the template.

Abstract: 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.

Abstract: A display method displaying simulation results of a three dimensional simulation model of an internal organ by detecting a first element string along a first line that passes through the simulation model from a first element group having physical values according to a simulation model position of a first unit time; extracting first physical values of the first element string from the first element string; setting a second line that passes through the simulation model of a second unit time subsequent to the first unit time; detecting a second element string along the second line and corresponding to the first element string from a second element group having physical values according to a simulation model position of the second unit time; extracting second physical values of the second element string from the second element string; and displaying the first physical values and the second physical values.

Abstract: 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.

Abstract: A disclosed modelling method includes: calculating a first function for generating data of a closed surface that contains plural points representing an annular structure in an object, based on positional information of the plural points; generating data of a first point set representing a boundary of the object, from tomographic image data; detecting data of points which are included in the first point set and located inside the closed surface by using the first function; removing the detected data of points from the data of the first point set to generate data of a second point set; calculating a second function for generating data of a shape of the object using the data of the second point set and data of the plural points; and storing data of the shape of the object, which is generated by using the second function, in the memory.

Abstract: A disclosed display processing method includes: first generating data of a faying surface region between a first line element, for which a greatest radius is defined, and a second line element, for which a second greatest radius is defined, at a point where end points of plural line elements are connected, by using data of plural line elements for which a radius and coordinates of both end points are defined and data representing connection relationships between line elements; and second generating, for each line object of the plural line elements, data of a tubular object that is defined based on a faying surface region generated for the line element.

Abstract: A computer-readable recording medium stores a visualization program that renders an internal organ and causes a computer to execute a process that includes generating along an input normal vector, a given stereoscopic shape; calculating an overlapping portion that overlaps the given stereoscopic shape and the shape of the internal organ; changing a degree of transparency of the overlapping portion; and rendering the shape of the internal organ to include the overlapping portion for which the degree of transparency has been changed.

Abstract: A stress estimating system includes a polygon data input unit of polygon data modeling a vascular wall, an interactive analysis condition setting unit for setting the tensile force acting on the vascular wall boundary, blood pressure and constraint estimated as proper on the boundary, a stress analysis unit for obtaining two-dimensional stress by solving a mechanical equilibrium equation with respect to the membrane stress on a curvilinear surface of the vascular wall under the condition given by the polygon data input unit and the interactive analysis condition setting unit, and an interactive visualization unit for displaying a distribution of a stress component designated by a system user. Without assuming any symmetry for the curvilinear configuration and stress distribution, a complicated stress distribution is estimated only out of the mechanical equilibrium equation with respect to membrane stress.

Abstract: A visualization apparatus includes a memory unit and a computing unit. The memory unit stores a circulation model in which a vascular network, of an organ, having a diameter equal to or smaller than a predetermined value is defined on a two-dimensional plane, and a simulation result of a blood flow in the vascular network of the circulation model. The computing unit transforms the circulation model into a three-dimensional structure including the vascular network located on a cylindrical surface of a cylinder, and displays the simulation result on the three-dimensional structure.