Abstract: An image processing method includes a reconstruction step of reconstructing a radiographic image of a subject by performing reconstruction processing on radiological data of the subject, a count number calculation step of calculating a count number in a subject area in the radiographic image, a standard deviation calculation step of calculating a noise standard deviation in the radiographic image from a relation between the count number in each of a plurality of pre-acquired function calculation radiographic images and the noise standard deviation, by substituting the count number in the subject area into a pre-acquired basic noise deviation function a function in which a value of the count number and a value of the noise standard deviation correspond to each other, and a noise reduction processing step of performing NLM filter processing on the radiographic image using the noise standard deviation calculated in the standard deviation calculation step.

Abstract: A diagnostic apparatus for nuclear medicine executes an attenuation correction processing with a high degree of precision relative to the radiation image and an estimation method of an attenuation coefficient image without irradiating radiation to an examination subject using an external radiation source. The diagnostic apparatus has a memory storage, a reconstruction element, a position deviation calculating element, a position correction element generating the corrected attenuation coefficient image, and a attenuation correction element using a corrected attenuation coefficient image HF and a concurrent counting data DK.

Abstract: A piezoelectric actuator that includes a multilayer body, a low-potential outer electrode, and a high-potential outer electrode. The multilayer body includes multiple alternately stacked piezoelectric ceramic layers and planar electrodes. The planar electrodes include low-potential planar electrodes electrically connected to the low-potential outer electrode and high-potential planar electrodes electrically connected to the high-potential outer electrode. The planar electrode positioned most outwardly on the side of a first main surface of the multilayer body is a low-potential planar electrode. The inner surface of this low-potential planar electrode contacts the ? side of polarization in an active region, and the outer surface of this low-potential planar electrode is exposed on an outside of the multilayer body. On the side of a second main surface of the multilayer body, a high-potential planar electrode is not exposed on the outside of the multilayer body.

Abstract: A scattering estimation method includes determining a convolution kernel for smoothing a single scattering distribution based on a scattered radiation index value (R) of a radioactive image (5) (S4) and fitting, to positron emission tomography measurement data, a scattering distribution smoothed by applying the convolution kernel to the single scattering distribution (S5).

Abstract: A piezoelectric actuator that includes a multilayer body, a low-potential outer electrode, and a high-potential outer electrode. The multilayer body includes multiple alternately stacked piezoelectric ceramic layers and planar electrodes. The planar electrodes include low-potential planar electrodes electrically connected to the low-potential outer electrode and high-potential planar electrodes electrically connected to the high-potential outer electrode. The planar electrode positioned most outwardly on the side of a first main surface of the multilayer body is a low-potential planar electrode. The inner surface of this low-potential planar electrode contacts the ? side of polarization in an active region, and the outer surface of this low-potential planar electrode is exposed on an outside of the multilayer body. On the side of a second main surface of the multilayer body, a high-potential planar electrode is not exposed on the outside of the multilayer body.

Abstract: A scattering estimation method includes determining a convolution kernel for smoothing a single scattering distribution based on a scattered radiation index value (R) of a radioactive image (5) (S4) and fitting, to positron emission tomography measurement data, a scattering distribution smoothed by applying the convolution kernel to the single scattering distribution (S5).

Abstract: The disclosure has an object to provide a medical-data processing device that allows generation of an MIP image suitable for diagnosis. With the medical-data processing device of the disclosure, intensity of a body surface region in three-dimensional space data is adjusted. The body surface region corresponds to a body surface of a stereoscopic image of a subject. Since the intensity of the body surface region is adjusted to be decreased, the maximum intensity is selected from a portion except for the body surface region to generate the MIP image. This prevents the body surface of the subject from appearing upon generating the MIP image. Therefore, the MIP image is obtainable having excellent visibility to the inside of the subject.

Abstract: A contour extracting unit of a contour image generating device performs one-time contour extraction to a two-dimensional reconstruction image by a contour extracting model so as to extract a second shape of a contour from a first shape of a contour. A completion determining unit determines whether or not a rate of change is smaller than a threshold. The rate of change is a ratio of a varied area and a sum of pixel values of pixels in the varied area, the varied area being between the first shape of the contour and the second shape of the contour. When the rate of change is large, a repetitive controller performs control to operate the contour extracting unit and the like again. When the rate of change is small, the repetitive controller performs control to output a two-dimensional contour image containing the second shape of the contour.

Abstract: In a reconstruction processing (S1), reconstruction processing is performed to list mode data to firstly capture a reconstruction image. Then, in a projection step (S2), the reconstruction image obtained in the reconstruction processing step is projected to capture a projection image. In a scatter component extracting step S4, low-frequency components are extracted from the projection image obtained in the projection step to obtain scatter components. Even when the data contains a missing region, the reconstruction processing unlikely to be influenced by the missing region suppresses the influence by the missing, and the resultant reconstruction image is projected. Consequently, the projection image having dummy data being interpolated to the missing region is obtainable. As a result, projection from the list mode data through the reconstruction image achieves the projection image with no missing data. Accordingly, precious estimation of the scatter components is obtainable.

Abstract: A contour extracting unit of a contour image generating device performs one-time contour extraction to a two-dimensional reconstruction image by a contour extracting model so as to extract a second shape of a contour from a first shape of a contour. A completion determining unit determines whether or not a rate of change is smaller than a threshold. The rate of change is a ratio of a varied area and a sum of pixel values of pixels in the varied area, the varied area being between the first shape of the contour and the second shape of the contour. When the rate of change is large, a repetitive controller performs control to operate the contour extracting unit and the like again. When the rate of change is small, the repetitive controller performs control to output a two-dimensional contour image containing the second shape of the contour.

Abstract: When an image for PET attenuation correction is generated from an MR image, the MR image captured by MRI is segmented into regions according to pixel values. In a region in which a radiation attenuation coefficient is considered to be uniform, a radiation attenuation correction value is determined by referring to an existing radiation attenuation correction value table. In a region including multiple tissues having different radiation attenuation coefficients, a radiation attenuation correction value is determined by referring to a standard image. In such a manner, an image for PET attenuation correction in which tissues having similar pixel values in the MR image but different attenuation coefficients for radiation can be distinguished and that can accommodate individual differences and an affected area such as a space occupying lesion (for example, a cancer, abscess, or the like) and an organic defect is generated.

Abstract: In a reconstruction processing (S1), reconstruction processing is performed to list mode data to firstly capture a reconstruction image. Then, in a projection step (S2), the reconstruction image obtained in the reconstruction processing step is projected to capture a projection image. In a scatter component extracting step S4, low-frequency components are extracted from the projection image obtained in the projection step to obtain scatter components. Even when the data contains a missing region, the reconstruction processing unlikely to be influenced by the missing region suppresses the influence by the missing, and the resultant reconstruction image is projected. Consequently, the projection image having dummy data being interpolated to the missing region is obtainable. As a result, projection from the list mode data through the reconstruction image achieves the projection image with no missing data. Accordingly, precious estimation of the scatter components is obtainable.

Abstract: When an image for PET attenuation correction is generated from an MR image, the MR image captured by MRI is segmented into regions according to pixel values. In a region in which a radiation attenuation coefficient is considered to be uniform, a radiation attenuation correction value is determined by referring to an existing radiation attenuation correction value table. In a region including multiple tissues having different radiation attenuation coefficients, a radiation attenuation correction value is determined by referring to a standard image. In such a manner, an image for PET attenuation correction in which tissues having similar pixel values in the MR image but different attenuation coefficients for radiation can be distinguished and that can accommodate individual differences and an affected area such as a space occupying lesion (for example, a cancer, abscess, or the like) and an organic defect is generated.

Abstract: The disclosure has an object to provide a medical-data processing device that allows generation of an MIP image suitable for diagnosis. With the medical-data processing device of the disclosure, intensity of a body surface region in three-dimensional space data is adjusted. The body surface region corresponds to a body surface of a stereoscopic image of a subject. Since the intensity of the body surface region is adjusted to be decreased, the maximum intensity is selected from a portion except for the body surface region to generate the MIP image. This prevents the body surface of the subject from appearing upon generating the MIP image. Therefore, the MIP image is obtainable having excellent visibility to the inside of the subject.

Abstract: Provided is a data processor used for imaging a plurality of subjects collectively. In the data processor, trimming is automatically performed to spatial data containing data on three-dimensional information for enhancing working efficiencies of experiments. Specifically, data on the subjects contained in the spatial data is divided into individual divisional data automatically and collectively. This eliminates necessity for individual trimming of the cross sectional images by the experimenter, resulting in significantly facilitating the latter image analysis.