Abstract: An object of the present invention is to provide an image processing apparatus, an image processing program, and an image processing method capable of specifying and correcting desired motion. An image processing apparatus includes: global motion estimation means for estimating global motion indicating motion of a specific region containing a specific object in a moving picture from a plurality of frame images contained in the moving picture; local motion estimation means for estimating local motion indicating motion of the specific object in the moving picture from the plurality of frame images; and image correction means for correcting the motion of the specific object or the specific region in the moving picture on the basis of the estimated global motion or the local motion.

Abstract: An object of the present invention is to provide an image processing apparatus, an image processing program, and an image processing method capable of specifying and correcting desired motion. An image processing apparatus includes: global motion estimation means for estimating global motion indicating motion of a specific region containing a specific object in a moving picture from a plurality of frame images contained in the moving picture; local motion estimation means for estimating local motion indicating motion of the specific object in the moving picture from the plurality of frame images; and image correction means for correcting the motion of the specific object or the specific region in the moving picture on the basis of the estimated global motion or the local motion.

Abstract: A surgical simulation model generating method which includes a first process in which a computing unit acquires geometrical information of an organ from a medical image stored in a storage unit, including an image of the organ, and generates volume data for the organ; a second process in which, after the first process, the computing unit forms nodal points by meshing the organ represented by the generated volume data; a third process in which the computing unit generates a simulated membrane that covers the organ represented by the volume data meshed in the second process; and a fourth process in which the computing unit generates a simulated organ by drawing an imaginary line so as to extend from each nodal point formed on a surface of the organ represented by the volume data meshed in the second process in a direction that intersects the simulated membrane.

Abstract: A surgical simulation model generating method includes: a first process in which a computing unit acquires geometrical information of an organ from a medical image stored in a storage unit, including an image of the organ, and generates volume data for the organ; a second process in which, after the first process, the computing unit forms nodal points by meshing the organ represented by the generated volume data; a third process in which the computing unit generates a simulated membrane that covers the organ represented by the volume data meshed in the second process; and a fourth process in which the computing unit generates a simulated organ by drawing an imaginary line so as to extend from each nodal point formed on a surface of the organ represented by the volume data meshed in the second process in a direction that intersects the simulated membrane and thereby forming a membrane nodal point at a point where the imaginary line intersects the simulated membrane generated in the third process, and by arrang

Abstract: The invention is directed to the provision of a method for generating a model for a preoperative simulation, wherein the method includes: a first step of constructing volume data for necessary organs by acquiring geometrical information from a medical image; a second step of manipulating the volume data to reposition and reorient an operator-designated organ to achieve a position and orientation appropriate for a surgical operation; a third step of generating a blood-vessel model, depicting a blood vessel to be joined to the designated organ, so as to match the position and orientation of the designated organ; a fourth step of generating volume data by forming a fat model of prescribed thickness around a prescribed organ contained in the earlier constructed volume data, after the blood-vessel model has been joined to the designated organ; a fifth step of thereafter meshing the organ represented by the generated volume data; a sixth step of manipulating a template model of a prescribed shape by using a templat

Abstract: Medical image data is utilized, physical values are assigned to body parts based on image information, and the target organs are separated from the image data to prepare a 3D biodata model to thereby realize a data model unique to a patient, having an internal structure, and enabling dynamic simulation of a live body. The same target part of a body is captured by CT and MRI to obtain medical images. Sets of pairs of CT images and MRI images are set, a plurality of features showing the same locations are selected and set from the sets of CT images and MRI images, a conversion coefficient between the CT images and MRI images is obtained, and this conversion coefficient is used to rearrange the MRI images by projection transforms and linear interpolation, combine them with the contours of the CT images, and correct their positions in the contours. Further, the images are used to prepare a 3D data model.

Abstract: A surgical simulation model generating method includes: a first process in which a computing unit acquires geometrical information of an organ from a medical image stored in a storage unit, including an image of the organ, and generates volume data for the organ; a second process in which, after the first process, the computing unit forms nodal points by meshing the organ represented by the generated volume data; a third process in which the computing unit generates a simulated membrane that covers the organ represented by the volume data meshed in the second process; and a fourth process in which the computing unit generates a simulated organ by drawing an imaginary line so as to extend from each nodal point formed on a surface of the organ represented by the volume data meshed in the second process in a direction that intersects the simulated membrane and thereby forming a membrane nodal point at a point where the imaginary line intersects the simulated membrane generated in the third process, and by arrang

Abstract: The invention is directed to the provision of a method for generating a model for a preoperative simulation, wherein the method includes: a first step of constructing volume data for necessary organs by acquiring geometrical information from a medical image; a second step of manipulating the volume data to reposition and reorient an operator-designated organ to achieve a position and orientation appropriate for a surgical operation; a third step of generating a blood-vessel model, depicting a blood vessel to be joined to the designated organ, so as to match the position and orientation of the designated organ; a fourth step of generating volume data by forming a fat model of prescribed thickness around a prescribed organ contained in the earlier constructed volume data, after the blood-vessel model has been joined to the designated organ; a fifth step of thereafter meshing the organ represented by the generated volume data; a sixth step of manipulating a template model of a prescribed shape by using a templat

Abstract: Medical image data is utilized, physical values are assigned to body parts based on image information, and the target organs are separated from the image data to prepare a 3D biodata model to thereby realize a data model unique to a patient, having an internal structure, and enabling dynamic simulation of a live body. The same target part of a body is captured by CT and MRI to obtain medical images. Sets of pairs of CT images and MRI images are set, a plurality of features showing the same locations are selected and set from the sets of CT images and MRI images, a conversion coefficient between the CT images and MRI images is obtained, and this conversion coefficient is used to rearrange the MRI images by projection transforms and linear interpolation, combine them with the contours of the CT images, and correct their positions in the contours. Further, the images are used to prepare a 3D data model.

Abstract: The invention provides a simulation system and method having an image generating function that can visualize the behavior of an object of analysis in real time. The behavior of the object of analysis is divided into a plurality of subspaces, and is visualized as subspace images by an MP method by performing simulation computations for the respective subspaces at nodes 431 to 438. The subspace images are sent to a pipelined composer 44 where the images are blended together by considering occlusion relationships determined by reference to a viewpoint by a BSP method. The resulting composited image is corrected for distortion at a server 40 by using a texture mapping function, and is displayed on a display apparatus 41.

Abstract: The present invention provides an image composing apparatus that can composite images at high speed and in which the apparatus configuration can be easily expanded as the number of images to be composed increases. Sub-images generated by node computers are synchronized each other by a synchronizing section. Then, each pair of synchronized sub-image data is composed into a single sub-image in a first-layer image composing section, comprising a plurality of image composing circuits each for composing two sub-images, and the resulting sub-images are composed iteratively through a second-layer image composing section, a third-layer image composing section, and so on, that have the same configuration as the first-layer image composing section.

Abstract: The present invention provides an image composing apparatus that can composite images at high speed and in which the apparatus configuration can be easily expanded as the number of images to be composed increases. Sub-images generated by node computers are synchronized each other by a synchronizing section. Then, each pair of synchronized sub-image data is composed into a single sub-image in a first-layer image composing section, comprising a plurality of image composing circuits each for composing two sub-images, and the resulting sub-images are composed iteratively through a second-layer image composing section, a third-layer image composing section, and so on, that have the same configuration as the first-layer image composing section.

Abstract: The present invention provides an image composing apparatus that can composite images at high speed and in which the apparatus configuration can be easily expanded as the number of images to be composed increases.

Abstract: A simulator having a video generating function of creating a video of the behavior of an object to be analyzed in real time and a simulating method are disclosed. The behavior of an object to be analyzed is divided into partial spaces. Each partial space is subjected to simulation calculation by nodes (431 to 438) and visualized into a partial video by applying an MP method. The partial videos are sent to a composer (44) of a pipeline structure and mixed taking the concealment/exhibition relationship into consideration using the viewpoint determined by the BSP method as a reference. The mixed video is subject to distortion correction by using a texture mapping function by a server (40) and displayed on a display unit (41).

Abstract: A volume rendering system re-samples voxels read from a voxel memory to generate samples along perspective rays cast from a center of projection using a level of detail value. Color computations are performed with the samples to produce pixels for a baseplane image. The level of detail is computed, at each plane of samples perpendicular to a principal viewing axis, from the current sample position and the distance between the center of projection and the baseplane; the principal viewing axis is the coordinate axis in a rendered volume most parallel with a viewing vector. The level of detail provides a measure of the distance between two neighboring perspective rays at each plane and is used to determine the number of voxels and weights for these voxels required to compute a single sample at each plane. Multi-resolution datasets prepared for different levels of details are used to simplify the resampling operation by limiting the number of voxels required to compute a single sample.

Abstract: The present invention provides a chimeric protein IL4-PE40 which selectively kills IL4 receptor bearing cells. A mutant form of the protein is also provided.