Fujifilm Corporation

Aze Ltd.

Fujifilm Corporation Ko

Jun Masumoto

Masaki Miyamoto

Futoshi Sakuragi

Yuanzhong Li

Masaharu Hirano

Yasunori Ohta

Haruyasu Nakatsugawa

Keigo Nakamura

Hiroaki Yasuda

Masahiko Yamada

Yoshinori Itai

Nobuhiko Kashiwagi

Yasuko Yahiro

Ayako Muramoto

Yoshinao Fujimori

Kenji Suzuki

Caihua Wang

Hajime Shirasaka

Tsuyoshi Hirakawa

Ichiro Sekiya

Yoshinobu Sato

Takuya Ebina

Masatoshi Hori

Takamichi Murakami

Takeshi Johkoh

Hironobu Nakamura

Shinichi Tamura

Nobutake Ozeki

Akinobu Hyodo

Hayato Aoki

A joint image unfolding apparatus, a joint image unfolding method, and a non-transitory computer readable recording medium storing a joint image unfolding program are provided to make it possible to check information regarding the entire cartilage in a joint with high accuracy. An image obtaining unit () obtains a three-dimensional image of a joint having cartilage. An unfolding unit () unfolds the cartilage included in the three-dimensional image with reference to a specific reference axis in the joint to generate an unfolded image.

Joint image unfolding apparatus, joint image unfolding method, and joint image unfolding program

A brain image normalization apparatus, having a processor configured to: detect at least four reference landmarks of a left eye, a right eye, a diencephalon, a fornix, a corpus callosum, a left hippocampus, and a right hippocampus from a brain image including a brain of a subject; perform registration between the detected reference landmarks and reference landmarks corresponding to the detected reference landmarks included in a standard brain image; and normalize the brain image based on a result of the registration.

Brain image normalization apparatus, brain image normalization method, and brain image normalization program

In a magnetic field distortion calculation apparatus, method, and program, information of magnetic field distortion inside a subject can be accurately acquired. An image acquisition unit acquires a reference image and a three-dimensional image of the head of the subject. A feature point detection unit detects a plurality of feature points from the three-dimensional image, and a virtual feature point estimation unit estimates a plurality of virtual feature points, which are to be present in the brain in the three-dimensional image, using the plurality of feature points. A magnetic field distortion information acquisition unit acquires magnetic field distortion information, which indicates spatial magnetic field distortion caused by a three-dimensional image capturing apparatus included in the three-dimensional image, by performing registration between the plurality of feature points and the plurality of virtual feature points and a plurality of reference points.

Magnetic field distortion calculation apparatus, method, and program

Scanning a subject with an ultrasonic probe and obtaining an ultrasonic image of the subject. Obtaining a cross-sectional image of a cross-section of a three-dimensional image corresponding to the ultrasonic image from the three-dimensional image, the three-dimensional image including a puncture line set for a puncture needle and a superimposed columnar index having a central axis line on the puncture line and opacity which is reduced with the distance from the central axis line. Displaying the ultrasonic image and the cross-sectional image. In this case, the thickness, opacity, and cross-sectional shape of the index displayed on the cross-sectional image vary according to the positional relationship between the scan plane of the ultrasonic probe and the cross-section in which the puncture line is set.

Medical image display apparatus, method, and medium

A cameraacquires a background image B, and a virtual object acquisition unitacquires a virtual object S. A display information acquisition unitacquires display information indicating a position, at which the virtual object Sis displayed, from the background image B, and a display control unitdisplays the virtual object Son a displaybased on the display information. A change information acquisition unitacquires change information for changing the display state of the virtual object Saccording to the relative relationship between a reference marker imageand each of the other marker imagesamong a plurality of marker imagesandfor changing the display state of the virtual object Sthat are included in the background image B. A display state change unitchanges the display state of the virtual object according to the change information.

Virtual object display device, method, program, and system

A structure extraction unit extracts a heart region from a three-dimensional image of a chest, an image display control unit displays a volume rendering of the extracted heart region, an information adding unit adds additional information such as text and voice to a VR image displayed according to desired display conditions which include an image orientation. The display conditions when the additional information is added are stored with the additional information as designated display conditions. An allowable range setting unit sets a predetermined allowable range for the designated display conditions. During subsequent display of the VR image, an information reproducing unit enables the added information to be reproduced when display conditions are within the allowable range of the designated display conditions.

Three-dimensional image display apparatus, method, and program

A diagnostic endoscopic imaging support apparatus includes a three-dimensional image data obtaining section that obtains three-dimensional image data of a subject, a tubular tissue shape data obtaining section that extracts and obtains tubular tissue shape data representing a shape of a tubular tissue in the subject from the three-dimensional image data obtained by the three-dimensional image data obtaining section, an endoscope route data obtaining section that obtains endoscope route data representing a route of an endoscope inserted into the subject, and a matching section that performs matching between the tubular tissue shape data and the endoscope route data.

Diagnostic endoscopic imaging support apparatus and method, and non-transitory computer readable medium on which is recorded diagnostic endoscopic imaging support program

A region extraction unit extracts first and second shape-invariant regions corresponding to each other from first and second three-dimensional images acquired by an MRI apparatus. A first registration unit acquires a first deformation vector by performing rigid registration between the first and second shape-invariant regions. A second registration unit acquires a second deformation vector by performing non-rigid registration between the first and second three-dimensional images in each shape-invariant region. A magnetic field distortion vector calculation unit calculates a magnetic field distortion vector, which represents relative magnetic field distortion between the first and second three-dimensional images based on the first and second deformation vectors.

Magnetic field distortion calculation device, method, and program

A second registration unit performs registration between an intraoperative live view obtained by an image obtaining unit and an associated image obtained by an associated image obtaining unit. At this time, the second registration unit extracts a plurality of feature points corresponding to one another from a registered intraoperative image registered with the associated image and a newly obtained intraoperative image, sets priority levels on the feature points corresponding to one another based on the associated image, obtains positional information indicating a relative positional difference between the registered intraoperative image and the newly obtained intraoperative image based on the feature points with the priority levels set thereon, and performs registration between the associated image and the newly obtained intraoperative image based on the positional information.

Device and method for image registration, and non-transitory recording medium

An initial registration unit performs initial registration between an intraoperative image and simulation information. A positional information obtaining unit obtains positional information indicating a relative positional difference between the intraoperative image after the initial registration and a newly obtained intraoperative image based on an unchanged position which is not changed during surgery included in the intraoperative images. A superimpose display unit registers the simulation information with the new intraoperative image based on the positional information and displays, on a display, the simulation information superimposed on the new intraoperative image.

Image registration device, image registration method, and image registration program

A three-dimensional medical image is obtained, and displayed on a display screen. An input position by a user on the display screen and an input operation by the user are received. If the received input position is located in a center region of the display screen, rotation processing is performed on the three-dimensional medical image based on the received input operation. If the received input position is located in a region other than the center region, region specification processing is performed on the displayed three-dimensional medical image based on the received input operation. The region specification processing specifies a closed curve on the display screen based on the received input operation, and deletes a part of the three-dimensional medical image, and the part being an inside or an outside of a cylinder extending from the specified closed curve toward the depth direction of the display screen.

Image processing apparatus, method and program

A liver region extraction unit and a structural element extraction unit extracts the liver region and structural elements, such as the hepatic artery and the hepatic vein, from a three-dimensional image, and a surface data generation unit generates surface data of the liver region and surface data of the structural elements. A pattern adding unit adds a textured pattern to at least one of the surfaces of the liver region and the structural elements, and a data generation unit generate three-dimensional model data by combining the surface data of the liver region and the surface data of the structural elements after the addition of the textured pattern. A three-dimensional model making device makes a three-dimensional model of the liver based on the three-dimensional model data.

Three-dimensional model data generation device, method and program

When generating a pseudo three-dimensional image by performing volume rendering on a three-dimensional image using an opacity curve that defines the relationship between pixel value and opacity, identifying a whole region representing a predetermined target object from the three-dimensional image, setting a base opacity curve to the identified whole region, obtaining, with respect to each of at least some pixels in the identified whole region, a representative value in an adjacent region of a pixel concerned, and setting an opacity curve obtained by modifying the base opacity curve using the obtained representative value as the opacity curve to be applied to the pixel concerned in the volume rendering.

Image generation apparatus, method, and medium with image generation program recorded thereon

A label adding unit adds labels to structures such as a body surface region, a lung region, bronchi, and pulmonary nodules of a human extracted by a structure extraction unit from a three-dimensional image of a chest. An image display control unit displays the three-dimensional image by volume rendering on a display unit. At this time, a label display determination unit determines at least one label to be displayed with the volume rendering image to be displayed based on the opacity during the volume rendering display. A label display control unit displays the determined label with the volume rendering image on the display unit.

At least one of the common regions in time-sequence images is specified. Then, the time-sequence images are adjusted such that the position of that common region in at least one image among the time-sequence images is adjusted to the position of that common region in a different image. Then, the new adjusted time-sequence images are subjected to video compression processing.

Growing community of inventors

Minato-ku, Japan

Jun Masumoto