Toshiba Medical Systems Corporation

Kabushiki Kaisha Toshiba

Canon Medical Systems Corporation

Kobe University

Shigeharu Ohyu

Atsuko Sugiyama

Yasuo Sakurai

Hitoshi Yamagata

Mariko Shibata

Yasuko Fujisawa

Katsuhiko Fujimoto

Keisuke Hashimoto

Motoji Haragashira

Yoichi Takada

Shuhei Bannae

Tatsuya Kimoto

Kyojiro Nambu

Takuzo Takayama

Yoshihiro Ikeda

Tomohiro Kawasaki

Arturo Calderon

Masahiro Kumakura

Shigehide Kuhara

Masao Yui

Kensuke Shinoda

Masayuki Nishiki

Hideaki Ishii

Kota Aoyagi

Naoki Sugihara

Naotaka Sakashita

Masashi Yoshida

Mitsukazu Kamata

Shingo Kanemitsu

Tetsuya Yokota

Izumi Watanabe

Fumiki Nakano

Yoshiharu Ohno

Yoshihiro Sakuma

Cui Xu

Tomohisa Fukunaga

Yasuhira Kondo

Heng Hu

Tokiko Endo

The medical data processing apparatus according to any of embodiments includes processing circuitry. The processing circuitry is configured to calculate a probability that target image data has a lesion and a confidence interval indicating a reliability of the probability, and to output data on the lesion based on the probability and the confidence interval of the probability.

Medical data processing apparatus, medical data processing method, and non-transitory computer medium storing computer program

According to one embodiment, a medical information processing apparatus includes processing circuitry. The processing circuitry predicts, based on subject information and a prediction model of a disease onset risk, a time course of the disease onset risk in relation to a subject. The processing circuitry presents, based on the time course of the disease onset risk, a recommended period appropriate for arranging a next examination or medical procedure.

Medical information processing apparatus, medical information processing method, and electronic medical record system

A medical image processing apparatus including processing circuitry configured to obtain MR dynamic images acquired by MR imaging on a subject, in which a contrast agent has been injected, in accordance with an examination-time imaging condition including magnetic field information, contrast agent information, and/or tissue information, set a standard imaging condition, and calculate a first index value indicating a temporal change of an MR signal value caused by the contrast agent, the index value being standardized by conversion from the examination-time imaging condition to the standard imaging condition based on the MR dynamic images, the examination-time imaging condition, and the standard imaging condition.

Medical image processing apparatus and method

According to one embodiment, an MRI apparatus includes sequence control circuitry and processing circuitry. The sequence control circuitry executes a pulse sequence for collecting MR signals in collection timings along a relaxation curve of longitudinal magnetization in synchronization with heartbeats or blood beats. The processing circuitry generate a T1 map representing a distribution of T1 values by using the collected MR signals. The pulse sequence is set so as not to collect any MR signal in at least one heartbeat or blood beat among heartbeats or blood beats included between first and second inversion pulses, and so as to collect an MR signal in a heartbeat or blood beat subsequent to the at least one heartbeat or blood beat in which no MR signal is collected.

Magnetic resonance imaging apparatus for generating T1 map having highly accurate T1 values

A stage determination support system according to an embodiment includes devices. The storage device stores a plurality of kinds of functional images of a subject. The first determination device determines a degree of each of a plurality of kinds of analysis indices relating to a disease, based on at least the functional images among functional images and the morphological images. The second determination device determines, based on each of determination results and a predetermined stage determination rule, a stage corresponding to the determination result with respect to each of the analysis indices. The calculation device calculates, with respect to each of the stages, a value indicative of a possibility that the disease corresponds to the stage, based on each of determination results.

Stage determination support system

A medical image processing apparatus according to an embodiment includes storage circuitry, image data processing circuitry, and association circuitry. The storage circuitry stores therein pieces of image data on a subject obtained at a plurality of time phases from a medical image diagnostic apparatus. The image data processing circuitry calculates an index value obtained by comparing a pixel value of image data of a reference time phase among the pieces of image data of the time phases and a pixel value of each of the pieces of image data of the time phases. The association circuitry selects at least one of the pieces of image data of the time phases based on the index value calculated for each of the time phases and associates the one piece of image data with a breathing time phase in at least one of inspiration and expiration of the subject.

Medical image processing apparatus, X-ray CT apparatus, and image processing method

A medical image processing apparatus according to an embodiment includes processing circuitry and a display. The processing circuitry obtains first imaged data taken of a subject and second imaged data taken of the subject on a date/time different from the date/time on which the first imaged data was taken. The processing circuitry generates estimation data by performing an image processing process that changes the first imaged data on the basis of a predetermined change model. The processing circuitry generates a display image indicating the difference between the estimation data and the second imaged data. The display displays the display image.

Medical image processing apparatus to generate a lesion change site image

In one embodiment, a medical image processing apparatus includes a display and processing circuitry. The processing circuitry is configured to (a) calculate fluid information including flow-velocity vectors based on three-dimensional image data of plural time phases, which are acquired by a phase contrast method of magnetic resonance imaging, and in which fluid flowing inside a lumen is depicted, (b) identify a branching position where a second lumen branches from a first lumen, based on change in flow volume of fluid flowing inside the first lumen along an extending direction of the first lumen, and (c) cause the display to display an analysis result including fluid information of fluid flowing inside the second lumen, based on the branching position.

Medical image processing apparatus and medical image processing method

A medical image processing apparatus according to one of present embodiments includes processing circuitry. The processing circuitry is configured to calculate fluid information including a velocity vector based on three-dimensional phase image data in multiple time phases, the three-dimensional phase image data being collected by phase contrast magnetic resonance imaging, and the three-dimensional phase image data representing a fluid flowing through a lumen. The processing circuitry is configured to identify a wall region of the lumen based on the velocity vector. The processing circuitry is configured to calculate wall shear stress using the wall region and the fluid information.

According to one embodiment, a medical image analyzer includes a retriever, a first artery transition information unit, a vessel pixel selector, a blood vessel transition information unit, an image association unit, and a second artery transition information unit. The retriever retrieves a plurality of time-series images. The first artery transition information unit obtains first artery transition information. The vessel pixel selector selects vessel pixels. The blood vessel transition information unit obtains blood vessel transition information. The image association unit obtains a correspondence relationship between one and another of the time-series images. The second artery transition information unit obtains second artery transition information based on time information, the first artery transition information, and the blood vessel transition information, and the correspondence relationship.

Medical image analyzer

According to one embodiment, a medical imaging analyzer includes an imaging unit, a calculator, and an analyzer. The imaging unit divides an area including an object of a subject to be captured into a plurality of partial areas such that the partial areas overlap each other to form an overlapping area, and administers a contrast agent to each of the partial areas to capture a plurality of time-series images. The calculator calculates, based on the transition of the pixel value in one of the time-series images having the overlapping area, the transition of the pixel value in the other time-series image having the overlapping area. The analyzer analyzes the time-series images based on the transition of the pixel value in the one and the other of the time-series images to obtain the hemodynamics of the subject.

Medical imaging analyzer and medical image processing method

A medical data generating apparatus includes a data processing unit, a work-status data generation unit, a display unit and a work-status restoration unit. The data processing unit acquires medical data from a database to perform data processing. The work-status data generation unit generates work-status data as a data record of medical data. The work-status data indicates a work status of the data processing. The display unit acquires medical data including at least one piece of work-status data from the database to list the acquired pieces of the medical data on a display device together with identification information of the acquired piece of the work-status data. The work-status restoration unit restores a work status of a data processing corresponding to a selected piece of work-status data based on the selected piece of the work-status data.

Medical data generating apparatus and medical data generating method

According to one embodiment, a blood flow perfusion analyzing apparatus includes tissue and arterial TCC calculation units, first and second making units, a deconvolution unit and a blood flow information calculation unit. The tissue TCC calculation unit obtains tissue TCCs. The arterial TCC calculation unit calculates an arterial TCC. The first making unit makes first sets, starting from a first time in which elements corresponding to the tissue are arrayed one-dimensionally, based on the tissue TCCs. The second making unit makes a second set, starting from a second time after the first time, in which elements corresponding to the artery are arrayed two-dimensionally, based on the arterial TCC. The deconvolution unit calculates transfer functions of the tissue based on the first and second sets. The blood flow information calculation unit calculates information on a blood flow perfusion based on the transfer functions.

Blood flow perfusion analyzing apparatus, blood flow perfusion analyzing method, fluid analyzing apparatus and fluid analyzing

An image processing apparatus according to an embodiment includes an input extraction unit, and a parameter estimation unit. The input extraction unit configured to extract, from time sequence images of medical images obtained by performing a blood perfusion imaging scan on a tissue, a region where a main vessel supplying blood input to the tissue is located as an input part and obtain, based on the input part, a time-density sequence of the blood input as an input time sequence. The parameter estimation unit configured to estimate parameters in a model representing the change of the blood flow at each point in the tissue with the input time sequence, based on the input time sequence, the model and the time sequence images, wherein the parameters include a delay undergone by the blood when flowing from the input part to each point in the tissue.

Image processing apparatus, method and medical image device

In one embodiment, an image analysis device () includes an acquisition unit () and an analysis unit (). The acquisition unit acquires image data of a plurality of images of an imaging region of an object respectively imaged by magnetic resonance imaging before and after administration of contrast medium. The analysis unit calculates an estimated value of concentration of contrast medium per unit volume including air region by using a coefficient based on the image data before administration of contrast medium, in accordance with the image data of a plurality of images and a value related to relaxation rate or relaxation time before and after administration of contrast medium.

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Yaita, Japan

Shigeharu Ohyu