Abstract: An image processing device determines whether each tumor candidate regions detected from a plurality of tomographic images indicating a plurality of tomographic planes of an object is a tumor or a local mass of a mammary gland, selects a first tomographic image group from the plurality of tomographic images in a first region determined to be the tumor, selects a second tomographic image group from the plurality of tomographic images in a second region determined to be the local mass of the mammary gland, selects a third tomographic image group from the plurality of tomographic images in a third region other than the first region and the second region, and generates a composite two-dimensional image using the tomographic image groups selected for each of the first region, the second region, and the third region.

Abstract: A processor detects a structure of interest from a plurality of tomographic images indicating a plurality of tomographic planes of an object. The processor selects a tomographic image from the plurality of tomographic images according to a type of the structure of interest in a region in which the structure of interest has been detected and generates a composite two-dimensional image using the selected tomographic image in the region in which the structure of interest has been detected and using a predetermined tomographic image in a region in which the structure of interest has not been detected.

Abstract: A processor detects a structure of interest from a plurality of tomographic images indicating a plurality of tomographic planes of an object. The processor selects a tomographic image from the plurality of tomographic images according to a frequency band in a region in which the structure of interest has been detected. The processor generates a composite two-dimensional image using the selected tomographic image in the region in which the structure of interest has been detected and using a predetermined tomographic image in a region in which the structure of interest has not been detected.

Abstract: A processor acquires a plurality of first projection images acquired by imaging an object at a plurality of radiation source positions and acquires a lesion image indicating a lesion. The processor combines the lesion image with the plurality of first projection images on the basis of a geometrical relationship between the plurality of radiation source positions and a position of the lesion virtually disposed in the object to derive a plurality of second projection images. The processor reconstructs the plurality of second projection images to generate a tomographic image including the lesion.

Abstract: An image processing device detects a spicula candidate region having a radial line structure from each of a plurality of tomographic images indicating a plurality of tomographic planes of an object, selects, as a tomographic image group, a plurality of the tomographic images corresponding to a plurality of the spicula candidate regions indicating the same radial line structure among a plurality of the detected spicula candidate regions, and generates a composite two-dimensional image using the selected tomographic image group.

Abstract: An image processing device detects a spicula candidate region having a radial line structure from each of a plurality of tomographic images indicating a plurality of tomographic planes of an object and determines whether or not the spicula candidate region is a spicula on the basis of an amount of change of a center position of the line structure included in the spicula candidate region between the tomographic planes.

Abstract: A structure extraction unit extracts a specific structure from each of a plurality of tomographic images representing a plurality of tomographic planes of a subject. A composition unit generates a composite two-dimensional image from the plurality of tomographic images by setting a weight of a pixel of the specific structure in each of the plurality of tomographic images to be larger than a weight of a pixel other than the pixel of the specific structure.

Abstract: A first detection unit detects a breast region and a skin line from a breast image, and a first index value calculation unit calculates a first index value indicating the single composition degree of the breast region. A second detection unit detects a boundary between the adipose tissue and the mammary gland tissue in a predetermined range from the skin line toward the inside of the breast region in the breast image. A second index value acquisition unit acquires a second index value indicating the degree of clogging of mammary glands with respect to the breast region based on at least one of the strength of the boundary or the distance from the skin line. An identification unit identifies the type of the breast based on the first and second index values.

Abstract: First ROI pixel values of a first region of interest 101 of a radiographic intensity distribution image 10, and second ROI pixel values of a second region of interest 102 of the radiographic intensity distribution image 10, are acquired. One of the first and second regions of interest is set to be at a position, or vicinity thereof, where a phase difference in the intensity modulation period within the radiographic intensity distribution image, with respect to the other region of interest, becomes ?/2. Next, an elliptical locus obtained by plotting the first and second ROI pixel values for each radiographic intensity distribution image is determined. k angle region images are then acquired using the radiographic intensity distribution images corresponding to at least k angle regions that have been obtained by dividing the elliptical locus for each given angle. A radiographic image is then generated using the k angle region images. k is an integer of three or more.

Abstract: A device that uses a grating to carry out high sensitivity radiographic image shooting using the wave nature of x-rays or the like can shoot a sample that moves relative to a device. A pixel value computation section determines, using a plurality of intensity distribution images of a sample that moves in a direction that traverses the path of radiation, whether or not a point (p, q) on the sample belongs in a region (Ak) on each intensity distribution image. Further, the pixel value computation section obtains a sum pixel value (Jk) for each region (Ak) by summing pixel values on the each intensity distribution image for point (p, q) that belongs to each region (Ak). An image computation section creates a required radiographic image using the sum pixel values (Jk) of the region (Ak).

Abstract: A first detection unit detects a breast region and a skin line from a breast image, and a first index value calculation unit calculates a first index value indicating the single composition degree of the breast region. A second detection unit detects a boundary between the adipose tissue and the mammary gland tissue in a predetermined range from the skin line toward the inside of the breast region in the breast image. A second index value acquisition unit acquires a second index value indicating the degree of clogging of mammary glands with respect to the breast region based on at least one of the strength of the boundary or the distance from the skin line. An identification unit identifies the type of the breast based on the first and second index values.

Abstract: First ROI pixel values of a first region of interest 101 of a radiographic intensity distribution image 10, and second ROI pixel values of a second region of interest 102 of the radiographic intensity distribution image 10, are acquired. One of the first and second regions of interest is set to be at a position, or vicinity thereof, where a phase difference in the intensity modulation period within the radiographic intensity distribution image, with respect to the other region of interest, becomes ?/2. Next, an elliptical locus obtained by plotting the first and second ROI pixel values for each radiographic intensity distribution image is determined. k angle region images are then acquired using the radiographic intensity distribution images corresponding to at least k angle regions that have been obtained by dividing the elliptical locus for each given angle. A radiographic image is then generated using the k angle region images. k is an integer of three or more.

Abstract: A device that uses a grating to carry out high sensitivity radiographic image shooting using the wave nature of x-rays or the like can shoot a sample that moves relative to a device. A pixel value computation section determines, using a plurality of intensity distribution images of a sample that moves in a direction that traverses the path of radiation, whether or not a point (p, q) on the sample belongs in a region (Ak) on each intensity distribution image. Further, the pixel value computation section obtains a sum pixel value (Jk) for each region (Ak) by summing pixel values on the each intensity distribution image for point (p, q) that belongs to each region (Ak). An image computation section creates a required radiographic image using the sum pixel values (Jk) of the region (Ak).

Abstract: Provided are a three-dimensional X-ray CT apparatus, a three-dimensional CT image reconstruction method, and a program, which are capable of reducing an operating time. A three-dimensional X-ray CT apparatus includes: a CT imaging portion for continuously and relatively rotating a measurement system with respect to a subject to perform a CT imaging measurement for taking data on a plurality of transmission images for reconstructing a three-dimensional CT image of the subject; and an image reconstruction portion for reconstructing the three-dimensional CT image based on the data on the plurality of transmission images taken by the CT imaging portion and displaying the three-dimensional CT image. During a period in which the CT imaging measurement is being performed, the image reconstruction portion reconstructs the three-dimensional CT image based on already-taken data on transmission images and displays the three-dimensional CT image before the CT imaging measurement is completed.

Abstract: This server for distributing messages quickly detects a performance decline in a downstream server by using a method for keeping, for each distribution-destination server, a threshold such as a connection number and a time interval separate from a response timeout, and determining that performance has declined when the threshold is exceeded. In addition, the present invention improves system availability by identifying a server group in which performance has declined on the basis of a correlation pertaining to inter-server cooperative processing, when a distribution server exhibits a decline in performance, and by the distribution server distributing a message to a server not exhibiting a decline in performance.

Abstract: To make a user easily obtain an objective and stable analysis result of bone mineral density. An analyzer 100 of bone mineral density using CT image data of a phantom having a known bone mineral density includes: a known data storage part 105 that stores known data of bone mineral density for a phantom; a histogram production part 102 that produces a histogram of region number relative to a CT value for three-dimensional CT image data of the phantom; a correspondence determination part 106 that determines correspondence between a CT value and a bone mineral density by correlating CT values showing respective peaks of the produced histogram with the known data of the phantom; and an analysis part 109 that decides a bone mineral density for three-dimensional CT image data of a subject using the determined correspondence.

Abstract: There are provided an image processing apparatus, an image processing method and an image processing program which can easily and accurately specify and analyze an abnormal part of a subject. An image processing apparatus 100 used to specify the abnormal part of the subject includes a calculation unit 130 calculating position adjustment data between contour data of a specific subject extracted from an X-ray radiographic image and contour data of a photographic image obtained by photographing the specific subject, a sectional image generation unit 140 generating a sectional image of a three-dimensional X-ray CT image correlated with the X-ray radiographic image on a plane parallel with a light receiving face of a two-dimensional biolight image correlated with the photographic image, and a display processing unit 150 displaying the three-dimensional X-ray CT image and the two-dimensional biolight image in superposition on the sectional image, using the calculated position adjustment data.

Abstract: Provided are a CT-image processing apparatus and a method which can remove noise caused by one of a heartbeat and a breathing beat and extract only an accurate periodic motion by the other one. A CT-image processing apparatus 5 that processes projection data in which an animal is captured as a subject at each time by an X-ray CT apparatus includes a breathing beat threshold specification unit 36a to specify a lower limit of a breathing beat frequency from a feature amount waveform within a ROI for breathing beat synchronization in a series of projection data, a heartbeat threshold specification unit 37a to specify a lower limit of a heartbeat frequency from a feature amount waveform within a ROI for heartbeat synchronization in the series of projection data, a breathing beat extraction unit 36b to extract a breathing beat waveform using a band-pass filter defined by the lower limit of the breathing beat frequency and the lower limit of the heartbeat frequency.

Abstract: This is comprising: a volume rendering unit for generating a two-dimensional rendered image by converting three-dimensional volume data into two-dimensional volume data; a depth information generator for generating depth information indicative of the length from a virtual view position in a virtual three-dimensional space to the three-dimensional volume data on the basis of the three-dimensional volume data; an anti-aliasing unit for identifying a target in the rendered image based on the depth information and executing anti-aliasing processing on an edge portion of the identified target; and a display unit for displaying an image including the target, on which the anti-aliasing processing has been executed, as a rendered image.

Abstract: To make a user easily obtain an objective and stable analysis result of bone mineral density. An analyzer 100 of bone mineral density using CT image data of a phantom having a known bone mineral density includes: a known data storage part 105 that stores known data of bone mineral density for a phantom; a histogram production part 102 that produces a histogram of region number relative to a CT value for three-dimensional CT image data of the phantom; a correspondence determination part 106 that determines correspondence between a CT value and a bone mineral density by correlating CT values showing respective peaks of the produced histogram with the known data of the phantom; and an analysis part 109 that decides a bone mineral density for three-dimensional CT image data of a subject using the determined correspondence.