Abstract: Provided is an X-ray imaging apparatus that can understand a three-dimensional position of a treatment tool in real time during a medical operation without rotating a column of an X-ray tube. A first X-ray image is acquired by irradiating a subject with X-rays from a first X-ray tube supported by a first column and detecting the X-rays transmitted through the subject by an X-ray detector. A second X-ray image is acquired by irradiating the subject with X-rays from a second X-ray tube supported by a second column at a position shifted from an optical axis of the first X-ray tube and detecting the X-rays transmitted through the subject by the X-ray detector. A position of an image of a predetermined feature part included in the first X-ray image and a position of an image of the feature part included in the second X-ray image are used to calculate a three-dimensional position of the image of the predetermined feature part.

Abstract: Provided is an X-ray imaging apparatus that can understand a three-dimensional position of a treatment tool in real time during a medical operation without rotating a column of an X-ray tube. A first X-ray tube is disposed at a position at which a target part of a subject placed on a top plate is irradiated with X-rays, and a second X-ray tube is disposed by causing the second X-ray tube to move rotationally along a circular orbit about an axis connecting the first X-ray tube and the top plate. A first X-ray image is acquired by irradiating the subject with the X-rays from the first X-ray tube. A second X-ray image is acquired by irradiating the subject with X-rays from the second X-ray tube. A position of an image of a predetermined feature part included in the first X-ray image and a position of an image of the feature part included in the second X-ray image are used to calculate a three-dimensional position of the image of the predetermined feature part.

Abstract: Provided is an X-ray imaging apparatus including two tubes, the X-ray imaging apparatus having a smaller exposure amount of a subject than a biplane X-ray imaging apparatus, maintaining an image quality of an X-ray image in a time axis direction, and improving the visibility of a device or the like. A first X-ray tube that irradiates the subject with X-rays, a second X-ray tube that irradiates the subject with X-rays from a direction different from a direction of the first X-ray tube, and one X-ray detector that detects the X-rays that are applied from the first X-ray tube and the second X-ray tube and are transmitted through the subject are provided. Pulse-like power is alternately supplied to the first X-ray tube at a first pulse width and to the second X-ray tube at a second pulse width such that a period in which the first X-ray tube applies the X-rays and a period in which the second X-ray tube applies the X-rays do not overlap with each other.

Abstract: Provided is an X-ray imaging apparatus that has a calibration function and can understand a three-dimensional position of a treatment tool in real time during a medical operation without rotating a column of an X-ray tube. A calibration member supported by any one of a first column, a second column, or a top plate, is disposed at a predetermined calibration position in a space irradiated with X-rays from a first X-ray tube and a second X-ray tube. A first X-ray image is acquired by irradiating a subject placed on the top plate with the X-rays from the first X-ray tube supported by the first column and detecting the X-rays transmitted through the subject by an X-ray detector disposed in the top plate. A second X-ray image is acquired by irradiating the subject with the X-rays from the second X-ray tube supported by the second column at a position shifted from an optical axis of the first X-ray tube and detecting the X-rays transmitted through the subject by the X-ray detector.

Abstract: A high-definition guide image for supporting a procedure that uses an X-ray fluoroscopic image is generated from 3D images taken in advance by a CT device and an MRI device, and the generated image is displayed. A parameter value is acquired from the parameters set in an X-ray imaging device upon taking the fluoroscopic image. After performing registration between the 3D CT image and the 3D MRI image, using the parameter value of the X-ray imaging device, the direction of light passage of the cone beam is set on each of the 3D CT image and the 3D MRI image, and 2D projected images are generated therefrom respectively. Then, the generated 2D projected images are superimposed and the superimposed image is displayed as the guide image.

Abstract: An image diagnosis supporting device includes a model reader that reads an image diagnostic model that outputs a diagnostic result for a diagnostic image that is an input medical image, a storage unit that stores facility data that is a plurality of medical images associated with diagnostic results held in a facility, and an adjuster that adjusts, based on the facility data, the image diagnostic model or the diagnostic image input to the image diagnostic model.

Abstract: A medical image processing apparatus and a medical image processing method are provided which are capable of clearly presenting a distal end of a medical device in a tomosynthesis image of an object under examination into which the medical device is inserted. The medical image processing apparatus handles a tomosynthesis image generated using a plurality of projection images obtained by imaging an object under examination in an angle range of less than 180 degrees, and includes: a storage section for pre-storing blur data at individual imaging space coordinates; and a correction section for correcting the tomosynthesis image using the blur data.

Abstract: Provided is a technique capable of calculating a three-dimensional position of a treatment tool only by processing an X-ray image without using an external signal of a body movement monitor or the like and capable of eliminating an influence of body movement. A plurality of combinations of a plurality of X-ray images from a plurality of X-ray images acquired at different angles or times are used to obtain a parameter serving as an index of calculation accuracy of a three-dimensional position of a treatment tool for each combination and to calculate the three-dimensional position of the treatment tool based on a combination of X-ray images serving as a parameter having the highest accuracy.

Abstract: An image diagnosis supporting device includes a model reader that reads an image diagnostic model that outputs a diagnostic result for a diagnostic image that is an input medical image, a storage unit that stores facility data that is a plurality of medical images associated with diagnostic results held in a facility, and an adjuster that adjusts, based on the facility data, the image diagnostic model or the diagnostic image input to the image diagnostic model.

Abstract: A radiographic imaging apparatus acquires a plurality of two-dimensional pickup images taken at different angles and a three-dimensional image of a processing target imaged in advance. Two-dimensional calculated projection images are generated from the three-dimensional image, respectively, in association with the two-dimensional pickup images. A characteristic region indicates a treatment instrument represented in the two-dimensional pickup image. The two-dimensional pickup image is aligned with the calculated projection image. A deformation amount of the processing target in the two-dimensional pickup image is calculated by comparing the two-dimensional pickup image with the calculated projection image, and a position of the characteristic region is corrected. A three-dimensional position of the characteristic region is calculated and corrected on the basis of anatomical structure information of the processing target.

Abstract: A radiographic imaging apparatus acquires a plurality of two-dimensional pickup images taken at different angles and a three-dimensional image of a processing target imaged in advance. Two-dimensional calculated projection images are generated from the three-dimensional image, respectively, in association with the two-dimensional pickup images. A characteristic region indicates a treatment instrument represented in the two-dimensional pickup image. The two-dimensional pickup image is aligned with the calculated projection image. A deformation amount of the processing target in the two-dimensional pickup image is calculated by comparing the two-dimensional pickup image with the calculated projection image, and a position of the characteristic region is corrected. A three-dimensional position of the characteristic region is calculated and corrected on the basis of anatomical structure information of the processing target.

Abstract: The present invention correlates information, to be processed, about an organ and/or a disease, etc., obtained from a medical image and anatomical/functional medical knowledge information, and enables the information obtained from the medial image to be effectively utilized in medical examination and treatment processes. In a medical image information system (101), an image processing unit (103) processes an image, a graph model creation unit (104) creates a graph data model from the information obtained from the image, a graph data model processing unit (106) acquires a graph data model based on anatomical/functional medical knowledge, compares with each other and integrates the graph data models and stores an integrated graph data model, and a display processing unit (110) displays the integrated graph data model, whereby the effective use of information obtained from the image is made possible.

Abstract: Visualizing a deformation amount or displacement amount of a region of interest in therapy rendered in an image upon aligning images used in radiation therapy allows for enhancing an accuracy of alignment. In a positioning system 104, an image processing unit 201 calculates a deformation parameter using a non-rigid registration method for a region of interest having been set by a treatment planning device 101 based on a treatment plan CT image and three-dimensional tomographic image imaged for bed positioning and calculates a displacement amount parameter for a region extracted using a region extraction method. The image processing unit 201 calculates a positioning parameter representing a displacement amount of a bed based on the calculated deformation parameter and displacement amount parameter and displays the respective parameters together with an alignment image, thereby allowing for confirmation of the deformation amount and displacement amount.

Abstract: The present invention correlates information, to be processed, about an organ and/or a disease, etc., obtained from a medical image and anatomical/functional medical knowledge information, and enables the information obtained from the medial image to be effectively utilized in medical examination and treatment processes. In a medical image information system (101), an image processing unit (103) processes an image, a graph model creation unit (104) creates a graph data model from the information obtained from the image, a graph data model processing unit (106) acquires a graph data model based on anatomical/functional medical knowledge, compares with each other and integrates the graph data models and stores an integrated graph data model, and a display processing unit (110) displays the integrated graph data model, whereby the effective use of information obtained from the image is made possible.

Abstract: Visualizing a deformation amount or displacement amount of a region of interest in therapy rendered in an image upon aligning images used in radiation therapy allows for enhancing an accuracy of alignment. In a positioning system 104, an image processing unit 201 calculates a deformation parameter using a non-rigid registration method for a region of interest having been set by a treatment planning device 101 based on a treatment plan CT image and three-dimensional tomographic image imaged for bed positioning and calculates a displacement amount parameter for a region extracted using a region extraction method. The image processing unit 201 calculates a positioning parameter representing a displacement amount of a bed based on the calculated deformation parameter and displacement amount parameter and displays the respective parameters together with an alignment image, thereby allowing for confirmation of the deformation amount and displacement amount.

Abstract: Provided is a region extraction system that uses an image data analysis process, which has overcome the problem of false positives in region extraction and assists in more accurate region extraction. A luminance distribution-analyzing unit (105) is used to determine a parameter of unknown quantity for extracting a region of interest. The luminance distribution-analyzing unit (105) searches a luminance distribution management database (106) for a region, which has a luminance distribution similar to the region of interest and is easily extracted, as a similar area. The region of the similar area is extracted using a region extraction pre-processing unit (107) and the value of the parameter of unknown quantity is determined on the basis of an image feature value calculated from the region extraction results.

Abstract: Provided is a region extraction system that uses an image data analysis process, which has overcome the problem of false positives in region extraction and assists in more accurate region extraction. A luminance distribution-analyzing unit (105) is used to determine a parameter of unknown quantity for extracting a region of interest. The luminance distribution-analyzing unit (105) searches a luminance distribution management database (106) for a region, which has a luminance distribution similar to the region of interest and is easily extracted, as a similar area. The region of the similar area is extracted using a region extraction pre-processing unit (107) and the value of the parameter of unknown quantity is determined on the basis of an image feature value calculated from the region extraction results.

Abstract: The present invention relates to a technology for extracting a target area from within an image by a combination of a plurality of image processes, enabling an automatic setting of an image process procedure without an operator inputting the image process procedure. Thus, according to the present invention, the content of an image process to be carried out in the next and subsequent rounds is automatically determined based on a history of results of image processes that have been applied to a process object image up to the immediately preceding round.

Abstract: An image processing apparatus includes a process flow building unit, a process flow execution unit, a display unit, a selection unit, a process flow evaluation unit, and a storage unit including a process flow database. In addition, an image processing apparatus includes an image processing parameter adjusting unit, a process flow execution unit, a display unit, a selection unit, a parameter evaluation unit, and a storage unit including a parameter database.

Abstract: Provided is a medical care support system for the sharing and reusing of medical information on the basis of a workflow which is a flow of medical-related services. A workflow step that was executed prior to an ongoing workflow step is selected by using a medical information database which has registered a workflow and information of each workflow step in association with medical information; and information is inputted by medical staff in the ongoing workflow step while the medical information registered in the selected workflow step being referred to; and the medical information being referred to and the inputted information are registered in the medical information database in association with the ongoing workflow step.