Abstract: The present disclosure provides a medical image processing apparatus capable of readily creating, from a medical image, an electronic document that displays a three-dimensional body organ model. The medical image processing apparatus performs control to acquire patient information from DICOM additional information of medical image data designated when the creation of the electronic document has been instructed, and to create the electronic document of the three-dimensional body organ model corresponding to the medical image data, the electronic document containing the acquire patient information. To which patient the three-dimensional body organ model belongs can be identified on the electronic document.

Abstract: A plurality of analysis functions each corresponding to an organ are managed, and organ information is stored in such a manner as to correlate with a corresponding type of analysis function. The organ information indicates which of a plurality of regions included in the organ is to be subjected to thinning. Specification of one of the analysis functions is received from a user, and medical image data is acquired. A plurality of regions of an organ included in the acquired medical image data are identified. The identified plurality of regions of the organ, a region to be subjected to thinning is determined on the basis of the stored organ information and the received type of the analysis function. Thinning is performed on the determined region of the organ. An image of the thinned region is displayed together with an image of a region not subjected to thinning.

Abstract: A medical image processing apparatus according to embodiments includes processing circuitry. The processing circuitry acquires three-dimensional medical image data in which a structure of a subject is rendered. The processing circuitry sets an eye point and an eye direction in the three-dimensional medical image data, generates two-dimensional first medical image data from the three-dimensional medical image data, and generates two-dimensional second medical image data in which display manners differ between a first portion on the opposite side to the eye point side in the eye direction of the structure rendered in the two-dimensional first medical image data and a second portion on the eye point side of the structure rendered in the two-dimensional first medical image data. The processing circuitry displays a medical image represented by the second medical image data on a display.

Abstract: Medical image data is identified, and a lung field region and an emphysema region in each of a plurality of tomographic images are extracted. A mechanism is provided, which is capable of calculating the ratio of the emphysema region to the lung field region, and displaying an image of the medical image data and a value representing the calculated ratio in association with each other.

Abstract: A plurality of analysis functions each corresponding to an organ are managed, and organ information is stored in such a manner as to correlate with a corresponding type of analysis function. The organ information indicates which of a plurality of regions included in the organ is to be subjected to thinning. Specification of one of the analysis functions is received from a user, and medical image data is acquired. A plurality of regions of an organ included in the acquired medical image data are identified. The identified plurality of regions of the organ, a region to be subjected to thinning is determined on the basis of the stored organ information and the received type of the analysis function. Thinning is performed on the determined region of the organ. An image of the thinned region is displayed together with an image of a region not subjected to thinning.

Abstract: A plurality of analysis functions each corresponding to an organ are managed, and organ information is stored in such a manner as to correlate with a corresponding type of analysis function. The organ information indicates which of a plurality of regions included in the organ is to be subjected to thinning. Specification of one of the analysis functions is received from a user, and medical image data is acquired. A plurality of regions of an organ included in the acquired medical image data are identified. The identified plurality of regions of the organ, a region to be subjected to thinning is determined on the basis of the stored organ information and the received type of the analysis function. Thinning is performed on the determined region of the organ. An image of the thinned region is displayed together with an image of a region not subjected to thinning.

Abstract: The present disclosure provides a medical image processing apparatus capable of readily creating, from a medical image, an electronic document that displays a three-dimensional body organ model. The medical image processing apparatus performs control to acquire patient information from DICOM additional information of medical image data designated when the creation of the electronic document has been instructed, and to create the electronic document of the three-dimensional body organ model corresponding to the medical image data, the electronic document containing the acquire patient information. To which patient the three-dimensional body organ model belongs can be identified on the electronic document.

Abstract: The present disclosure provides a medical image processing apparatus capable of readily creating, from a medical image, an electronic document that displays a three-dimensional body organ model. The medical image processing apparatus performs control to acquire patient information from DICOM additional information of medical image data designated when the creation of the electronic document has been instructed, and to create the electronic document of the three-dimensional body organ model corresponding to the medical image data, the electronic document containing the acquire patient information. To which patient the three-dimensional body organ model belongs can be identified on the electronic document.

Abstract: A medical image processing apparatus according to embodiments includes processing circuitry. The processing circuitry acquires three-dimensional medical image data in which a structure of a subject is rendered. The processing circuitry sets an eye point and an eye direction in the three-dimensional medical image data, generates two-dimensional first medical image data from the three-dimensional medical image data, and generates two-dimensional second medical image data in which display manners differ between a first portion on the opposite side to the eye point side in the eye direction of the structure rendered in the two-dimensional first medical image data and a second portion on the eye point side of the structure rendered in the two-dimensional first medical image data. The processing circuitry displays a medical image represented by the second medical image data on a display.

Abstract: Medical image data is identified, and a lung field region and an emphysema region in each of a plurality of tomographic images are extracted. A mechanism is provided, which is capable of calculating the ratio of the emphysema region to the lung field region, and displaying an image of the medical image data and a value representing the calculated ratio in association with each other.

Abstract: A plurality of analysis functions each corresponding to an organ are managed, and organ information is stored in such a manner as to correlate with a corresponding type of analysis function. The organ information indicates which of a plurality of regions included in the organ is to be subjected to thinning. Specification of one of the analysis functions is received from a user, and medical image data is acquired. A plurality of regions of an organ included in the acquired medical image data are identified. The identified plurality of regions of the organ, a region to be subjected to thinning is determined on the basis of the stored organ information and the received type of the analysis function. Thinning is performed on the determined region of the organ. An image of the thinned region is displayed together with an image of a region not subjected to thinning.

Abstract: A medical image processing apparatus acquires a virtual non-contrast image generated by using a first medical image acquired by image-capturing a subject containing a contrast agent with a first energy and a second medical image acquired by image-capturing the subject with a second energy, identifies a removal-subject region included in the acquired virtual non-contrast image, identifies a region of the first medical image or the second medical image, the region corresponding to the identified removal-subject region, and changes luminance values of the identified region identified to a value lower than the luminance value.

Abstract: Medical image data is identified, and a lung field region and an emphysema region in each of a plurality of tomographic images are extracted. A mechanism is provided, which is capable of calculating the ratio of the emphysema region to the lung field region, and displaying an image of the medical image data and a value representing the calculated ratio in association with each other.

Abstract: A plurality of analysis functions each corresponding to an organ are managed, and organ information is stored in such a manner as to correlate with a corresponding type of analysis function. The organ information indicates which of a plurality of regions included in the organ is to be subjected to thinning. Specification of one of the analysis functions is received from a user, and medical image data is acquired. A plurality of regions of an organ included in the acquired medical image data are identified. The identified plurality of regions of the organ, a region to be subjected to thinning is determined on the basis of the stored organ information and the received type of the analysis function. Thinning is performed on the determined region of the organ. An image of the thinned region is displayed together with an image of a region not subjected to thinning.

Abstract: A medical image processing apparatus acquires a virtual non-contrast image generated by using a first medical image acquired by image-capturing a subject containing a contrast agent with a first energy and a second medical image acquired by image-capturing the subject with a second energy, identifies a removal-subject region included in the acquired virtual non-contrast image, identifies a region of the first medical image or the second medical image, the region corresponding to the identified removal-subject region, and changes luminance values of the identified region identified to a value lower than the luminance value.

Abstract: The present disclosure provides a medical image processing apparatus capable of readily creating, from a medical image, an electronic document that displays a three-dimensional body organ model. The medical image processing apparatus performs control to acquire patient information from DICOM additional information of medical image data designated when the creation of the electronic document has been instructed, and to create the electronic document of the three-dimensional body organ model corresponding to the medical image data, the electronic document containing the acquire patient information. To which patient the three-dimensional body organ model belongs can be identified on the electronic document.

Abstract: A plurality of analysis functions each corresponding to an organ are managed, and organ information is stored in such a manner as to correlate with a corresponding type of analysis function. The organ information indicates which of a plurality of regions included in the organ is to be subjected to thinning. Specification of one of the analysis functions is received from a user, and medical image data is acquired. A plurality of regions of an organ included in the acquired medical image data are identified. The identified plurality of regions of the organ, a region to be subjected to thinning is determined on the basis of the stored organ information and the received type of the analysis function. Thinning is performed on the determined region of the organ. An image of the thinned region is displayed together with an image of a region not subjected to thinning.

Abstract: Medical image data is identified, and a lung field region and an emphysema region in each of a plurality of tomographic images are extracted. A mechanism is provided, which is capable of calculating the ratio of the emphysema region to the lung field region, and displaying an image of the medical image data and a value representing the calculated ratio in association with each other.

Abstract: An image-constituting element group corresponding to bone areas is selected from among a plurality of image-constituting elements that make up a three-dimensional image model, and CT values originally associated only with the selected image-constituting element group are replaced by values resulting from multiplying the original values by ¼. As a result, a distribution curve 34A denoting a frequency distribution of bone is shifted to a region of CT values that are lower than those of a distribution curve 33 denoting a frequency distribution of blood vessels. An observation image is then constructed by maximum intensity projection on the basis of three-dimensional image data after such signal value replacement.

Abstract: An image-constituting element group corresponding to bone areas is selected from among a plurality of image-constituting elements that make up a three-dimensional image model, and CT values originally associated only with the selected image-constituting element group are replaced by values resulting from multiplying the original values by 1/4. As a result, a distribution curve 34A denoting a frequency distribution of bone is shifted to a region of CT values that are lower than those of a distribution curve 33 denoting a frequency distribution of blood vessels. An observation image is then constructed by maximum intensity projection on the basis of three-dimensional image data after such signal value replacement.