Abstract: A medical image diagnostic apparatus according to an embodiment includes an estimation unit, an extraction unit, and a specifying unit. The estimation unit estimates a position of a plaque in a blood vessel based on data of CT images constituting a time series, with the blood vessel being enhanced by a contrast medium. The extraction unit extracts regions constituting the blood vessel from the CT images. The specifying unit specifies stress values respectively corresponding to the regions based on a moving displacement due to cardiac pulsation in each of the regions, and specifies an exfoliation risk of the plaque based on an index indicating hardness of the plaque and the stress value in the region corresponding to the position of the plaque.

Abstract: [Object] The invention is intended to provide a medical image processing apparatus in which improvement of accuracy of boundary detection of a heart is achieved. [Solving Means] A medical image processing apparatus acquires volume data of a heat, detects a three-dimensional left ventricle coordinate system composed of three axes including at least a left ventricle long axis of the heart from the volume data; uses a boundary model expressed in the left ventricle coordinate system and detects a left ventricle boundary from the volume data, and displays a cross-sectional image orthogonal to at least one axis of the three axes of the left ventricle coordinate system together with the detected left ventricle boundary on the cross-sectional image.

Abstract: A storage unit stores data of a first image associated with a contrast-enhanced cardiac region. A specification unit specifies a specific region included in the cardiac region on the basis of a distribution of pixel values of the data of the first image. A setting unit contracts the specified specific region, and set an ROI to the contracted specific region. A calculation unit calculates an index concerning the set ROI. The index is associated with a function of the specific region.

Abstract: In an image processing apparatus, an extracting unit extracts mutually the same region of interest from each of a plurality of pieces of three-dimensional image data corresponding to mutually-different time phases. Further, a position determining unit determines, on the basis of feature points included in the pieces of three-dimensional image data, a position used for superimposing together the regions of interest extracted by the extracting unit from the pieces of three-dimensional image data, in substantially the same position of a subject. After that, a display controlling unit changes a display format of each of the regions of interest extracted by the extracting unit from the pieces of three-dimensional image data so as to be mutually different and causes a superimposed image to be displayed by superimposing the regions of interest together in the position determined by the position determining unit.

Abstract: An apparatus handles a series of medical images. A time density curve generation unit generates time density curves respectively corresponding to pixels from the series of medical images. An approximation processing unit approximates a convolution between a specific time density curve of the time density curves and each of types of kinetic models to each of the time density curves upon adjustment of at least one parameter which each of the kinetic models has. A suitability index map generation unit generates types of suitability index maps respectively corresponding to the types of kinetic models based on approximation errors respectively corresponding to the pixels, which are obtained by the approximation processing unit.

Abstract: A medical image-processing apparatus that corrects divergence, even in a case where divergence in CT numbers occurs throughout a plurality of sets of image data that have been acquired for anatomically identical areas because the observed object is undergoing shape-alteration. The apparatus includes an image data storage, an extractor, and a corrector. The image data storage stores respective sets of image data acquired by scanning a targeted region undergoing chronological shape-alteration in a subject, the scanning having been executed at predetermined respective timings. The extractor extracts image data that correspond to the targeted region out of each of the respective sets of image data. The corrector calculates degrees of shape-alteration of the targeted region in the respective extracted sets of images data and to correct CT numbers of the respective sets of image data extracted for the targeted region, based on calculated degrees.

Abstract: According to one embodiment, a plaque region extracting apparatus includes a blood vessel wall data extracting unit, an intermediate image data generating unit, an enhancement processing unit, a plaque extracting unit. The blood vessel wall data extracting unit extracts first image data including a blood vessel wall from image data acquired by imaging a subject including blood vessels. The intermediate image data generating unit filters an intermediate region in the first image data to generate intermediate second image data. The enhancement processing unit processes the difference between the first image data and the second image data to generate third image data. The plaque extracting unit extracts a plaque in the blood vessel on the basis of the third image data.

Abstract: An image processing apparatus includes a contrast side obtaining unit, estimating unit, a simple side obtaining unit, a core area computing unit, a synthesizing unit and a display control unit. The contrast side obtaining unit obtains a contrast area and a high CT value area around the contrast area. The estimating unit estimates a contrast area in the non-contrast data and corresponding to the obtained contrast area. The simple side obtaining unit obtains a high CT value area around the estimated contrast area. The core area computing unit computes a core area included in the high CT value area of the contrast data and the non-contrast data. The synthesizing unit aligns the contrast data with the non-contrast data and generates superimposed data by superimposing the high CT value area of the contrast data on the non-contrast data. The display control unit displays the superimposed data on a display device.

Abstract: Provided is a medical image processing apparatus allowing the generation of image data by changing the reconstruction conditions in correspondence with the positional relation of an observation target based on the projected data chronologically acquired by an X-ray CT scanner. The medical image processing apparatus includes a photographing unit, a reconfiguration processing unit, an extracting unit, and an analyzing unit. The photographing unit scans the flexible site of the living body configured from multiple parts in order to acquire projected data. The reconfiguration processing unit carries out reconfiguration processing on the projected data and generates image data of the flexible site regarding the plurality of timing points. The extracting unit extracts the plurality of components configuring the flexible site from the respective image data. The analyzing unit obtains the positional relation of the plurality of components.

Abstract: A medical image processing apparatus to accurately identify malignant transformations of probable tumors. The medical image processing apparatus including a specifying mechanism and first, second, and third computing mechanisms. The specifying mechanism specifies a probable tumor from medical image data upon receiving the medical image data obtained by imaging a subject by a single medical imaging apparatus. The first computing mechanism calculates morphological information indicating morphological characteristics of a specified probable disease based on this medical image data. The second computing mechanism calculates functional information of the specified probable disease based on this medical image data. The third computing mechanism calculates amount of progress characteristics indicating the extent of the probable disease based on the morphological information and functional information.

Abstract: An image processing apparatus includes a storage unit which stores volume data associated with an area including a contrast-enhanced artery as an examination target, a first calculation unit which calculates a plurality of partial atherosclerotic indexes associated with a plurality of portions of the artery on the basis of morphological information associated with the artery which is obtained from the volume data, a second calculation unit which calculates a whole atherosclerotic index associated with the entire artery including the plurality of portions on the basis of the morphological information associated with the artery, and a display unit which displays evaluation information based on the calculated whole atherosclerotic index.

Abstract: A medical image processor includes: an extraction unit configured to extract a longitudinal line from three-dimensional volume data for a medical image, the longitudinal line representing how a tubular structure runs; a longitudinal cross-sectional image generator configured to generate multiple longitudinal cross-sectional images extending along the longitudinal line, the longitudinal cross-sectional images being cross-sectional images of the tubular structure; a short-axis cross-sectional image generator configured to generate multiple short-axis cross-sectional images intersecting the longitudinal line, the short-axis cross-sectional images being cross-sectional images of the tubular structure; a structure element detector configured to detect a specific structural element of the tubular structure from each of the plurality of short-axis cross-sectional images; and a correction unit configured to correct the specific structural element detected from each of the multiple short-axis cross-sectional images on

Abstract: A CT value of an image within a region of interest is calculated with time. While the calculated CT value does not exceed a predetermined threshold value, a reconstruction mode used when an image is reconstructed from projection data is set to half reconstruction. On the other hand, while the calculated CT value exceeds a predetermined threshold value, the reconstruction mode is set to segment reconstruction.

Abstract: An X-ray CT apparatus according to an exemplary embodiment includes: a specifying unit that specifies the position of a lesion and the position of a surrounding site positioned in a surrounding of the lesion, from pieces of image data of the inside of the patient corresponding to the mutually-different temporal phases; a movement information calculating unit that calculates movement information related to movements of the lesion and the surrounding site, based on the positions of the lesion and the surrounding site specified by the specifying unit; and a relative relationship calculating unit that calculates a relative relationship between the movement information of the lesion and the movement information of the surrounding site calculated by the movement information calculating unit.

Abstract: According to one embodiment, a plaque region extracting apparatus includes a blood vessel wall data extracting unit, an intermediate image data generating unit, an enhancement processing unit, a plaque extracting unit. The blood vessel wall data extracting unit extracts first image data including a blood vessel wall from image data acquired by imaging a subject including blood vessels. The intermediate image data generating unit filters an intermediate region in the first image data to generate intermediate second image data. The enhancement processing unit processes the difference between the first image data and the second image data to generate third image data. The plaque extracting unit extracts a plaque in the blood vessel on the basis of the third image data.

Abstract: An image processing apparatus includes a contrast side obtaining unit, estimating unit, a simple side obtaining unit, a core area computing unit, a synthesizing unit and a display control unit. The contrast side obtaining unit obtains a contrast area and a high CT value area around the contrast area. The estimating unit estimates a contrast area in the non-contrast data and corresponding to the obtained contrast area. The simple side obtaining unit obtains a high CT value area around the estimated contrast area. The core area computing unit computes a core area included in the high CT value area of the contrast data and the non-contrast data. The synthesizing unit aligns the contrast data with the non-contrast data and generates superimposed data by superimposing the high CT value area of the contrast data on the non-contrast data. The display control unit displays the superimposed data on a display device.

Abstract: An apparatus handles a series of medical images. A time density curve generation unit generates time density curves respectively corresponding to pixels from the series of medical images. An approximation processing unit approximates a convolution between a specific time density curve of the time density curves and each of types of kinetic models to each of the time density curves upon adjustment of at least one parameter which each of the kinetic models has. A suitability index map generation unit generates types of suitability index maps respectively corresponding to the types of kinetic models based on approximation errors respectively corresponding to the pixels, which are obtained by the approximation processing unit.

Abstract: An X-ray computed tomographic apparatus includes an X-ray tube which generates X-rays, an X-ray detector which detects X-rays transmitted through a subject and generates projection data, and a reconstruction unit which generates a plurality of original volume data at different scanning times based on the projection data. This apparatus includes an unit which obtains difference volume data corresponding different scanning times by performing difference processing between original volume data at adjacent scanning times, an unit which extracts a blood vessel image on the basis of original volume data before and after the injection of a contrast medium, and an unit which generates a display image by providing the blood vessel image with color or luminance information corresponding to the arrival time of the contrast medium on the basis of the blood vessel image and the plurality of difference volume data corresponding to the different scanning times.

Abstract: An X-ray tube generates X-rays. An X-ray detector detects X-rays generated from the X-ray tube and transmitted through an object to be examined. A rotating frame continuously rotates the X-ray tube and the X-ray detector around the object. A reconstruction unit reconstructs a plurality of first volume data sets with different scan times for the same scan area of the object on the basis of an output from the X-ray detector. An image processing unit generates single second volume data set corresponding to a maximum value, an average value, a median value, or minimum value of the plurality of reconstructed first volume data sets in the temporal direction.

Abstract: A medical image processor includes: an extraction unit configured to extract a longitudinal line from three-dimensional volume data for a medical image, the longitudinal line representing how a tubular structure runs; a longitudinal cross-sectional image generator configured to generate multiple longitudinal cross-sectional images extending along the longitudinal line, the longitudinal cross-sectional images being cross-sectional images of the tubular structure; a short-axis cross-sectional image generator configured to generate multiple short-axis cross-sectional images intersecting the longitudinal line, the short-axis cross-sectional images being cross-sectional images of the tubular structure; a structure element detector configured to detect a specific structural element of the tubular structure from each of the plurality of short-axis cross-sectional images; and a correction unit configured to correct the specific structural element detected from each of the multiple short-axis cross-sectional images on