MITSUBISHI PRECISION CO., LTD. Patent applications |
Patent application number | Title | Published |
20160063729 | SURGICAL SIMULATION MODEL GENERATING METHOD, SURGICAL SIMULATION METHOD, AND SURGICAL SIMULATOR - 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. | 03-03-2016 |
20130298670 | VIBRATION GYRO HAVING BIAS CORRECTING FUNCTION - A vibration gyro having a structure for canceling a quadrature error generated by structural asymmetricity due to production tolerance and a means for correcting a bias value when an angular velocity is zero. In order to apply a counter torque to a sense mass for canceling the quadrature error, left correction comb electrodes are fixed to a substrate adjacent to a left drive mass, and comb electrodes opposed to the correction comb electrodes are arranged on an inner portion of a frame member which constitutes the left drive mass. By applying DC voltage to the correction electrodes, electrostatic force, for canceling the leakage rotational displacement of the sense mass generated when the input angular velocity is zero, is generated. | 11-14-2013 |
20120081367 | SURGICAL SIMULATION MODEL GENERATING METHOD, SURGICAL SIMULATION METHOD, AND SURGICAL SIMULATOR - 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 arranging on each imaginary line an imaginary inter-membrane spring that connects between the nodal point formed on the surface of the organ and the membrane nodal point, while also arranging an in-plane spring that connects between adjacent membrane nodal points on the simulated membrane. | 04-05-2012 |
20110150312 | BIODATA MODEL PREPARATION METHOD AND APPARATUS, DATA STRUCTURE OF BIODATA MODEL AND DATA STORAGE DEVICE OF BIODATA MODEL, AND LOAD DISPERSION METHOD AND APPARATUS OF 3D DATA MODEL - 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. | 06-23-2011 |