Ge Medical Systems Global Technology Company, LLC

General Electric Company

Ge Precision Healthcare LLC

Xueli Wang

Ximiao Cao

Bingjie Zhao

Dan Liu

Xiaoyan Zhang

Zhenhua Xu

Weiwei Xing

Yanling Qu

Jiang Hsieh

Yan Sun

Akira Hagiwara

Akihiko Nishide

Chen Bo Li

Wei Ding

Hongyu Li

Makoto Gohno

XiaoYan Yu

Zhuo Liu

Xuyong Yang

Hailiang Liu

Mingyang Yang

Qi Zhao

Kotoko Morikawa

Shiyu Li

Bo Guo

Yilun Shi

Xuguang Sun

Xiongwei Yan

Maoquan Zhang

Weiguo Tang

Gang Fang

Zhe Shen

Embodiments of the present application provide a tissue boundary determination apparatus and method. The tissue boundary determination method includes acquiring multiple slice images of multiple positions of a tissue to be examined, determining, with regard to at least one first selected slice image of the multiple slice images, a tissue boundary on the first selected slice image, and determining, according to the tissue boundary on the first selected slice image, tissue boundaries on a predetermined number of other slice images adjacent to the first selected slice image. Therefore, an accurate tissue (such as malignant tumor) boundary may be acquired efficiently so as to provide a reference basis for analysis on internal and external tissue of a tumor.

Tissue boundary determination apparatus and method

The present application provides an imaging method and system, and a non-transitory computer-readable storage medium. The imaging method comprises preprocessing projection data to obtain a predicted image of a truncated portion; performing forward projection on the predicted image to obtain predicted projection data of the truncated portion; and performing image reconstruction using the projection data obtained by forward projection and projection data of an untruncated portion.

Imaging method and device

The present application provides a method and device for obtaining a predicted image of a truncated portion, an imaging method and system, and a non-transitory computer-readable storage medium. The method for obtaining a predicted image of a truncated portion comprises preprocessing projection data to obtain, by reconstruction, an initial image of the truncated portion; and calibrating the initial image based on a trained learning network to obtain the predicted image of the truncated portion.

Method and device for obtaining predicted image of truncated portion

Embodiments of the present invention provide a method for processing a radiotherapy CT positioning image, comprising: defining a pixel having a CT value greater than or equal to a first threshold in an original CT image as a human body pixel; counting a number of human body pixels of each pixel row in the original CT image in an order from top to bottom; and determining a boundary of the human body according to the counting result.

Method for identifying RT positioning image, computer program, and computer storage

The present invention provides a medical image processing method and a computer-readable storage medium. The method includes: reconstructing a two-dimensional cross-sectional image of an imaged tissue based on a volumetric image of the imaged tissue; projecting a CT value of the imaged tissue along a normal direction of the centerline of the imaged tissue in the two-dimensional cross-sectional image; and, positioning the imaged tissue based on the projection result of the CT value of the imaged tissue.

Medical image processing method, and computer readable storage medium

The present invention provides an apparatus and a method for enhancing spatial resolution of a CT image and a CT imaging system, the method comprising: acquiring an original CT projection curve; performing deconvolution for projection data on the original CT projection curve in a tube sampling direction or a texture direction of the original CT projection curve; and reconstructing an image according to the projection data after deconvolution.

Apparatus and method for enhancing spatial resolution of CT image and CT imaging system

The present invention provides an apparatus and method for beam hardening artifact correction of CT image, comprising a bone tissue image obtain module, a first correction module, an orthographic projection module, and a correction image obtaining module. The bone tissue image obtain module is used to extract a bone tissue image from a reconstructed original image; the first correction module is used to increase a current CT value of the bone tissue image; the orthographic projection module is used to perform an orthographic projection on the bone tissue image with the CT value being increased to obtain an orthographic projection data of the bone tissue image; the correction image obtaining module is used to perform image reconstruction according to the orthographic projection data of the bone tissue image described above and obtain a correction image.

Apparatus and method for beam hardening artifact correction of CT image

A method for searching and displaying scattered logs, comprising: finding out one or more corresponding log data based on a search key word; determining a desired timestamp from the log data, and regarding the log data containing the timestamp as target data; searching a semantic file for related semantic data based on the search key word, and finding out related log data based on the related semantic data; time filtering the related log data to obtain filtered log data; establishing a coordinate system by mapping the target data and the filtered log data onto mapping points of the coordinate system; semantically linking the filtered log data, and dying the filtered log data and the target data; and counting the number of lines related to the target data and the filtered log data, and generating links thereto. The present invention further discloses a device for searching and displaying scattered logs.

Method and device for searching and displaying scattered logs

The present invention relates to a method and device of obtaining a beam hardening correction coefficient for carrying out beam hardening correction on computed tomography data. The method includes the steps of: firstly, acquiring an original reconstructed image and an original sinogram of an object of a particular size; secondly, obtaining an error-reduced sinogram after processing the original reconstructed image by error reduction; thirdly, sampling and calculating an average value of the original sinogram and an average value of the error-reduced sinogram; fourthly, optimizing the original sinogram according to the error-reduced sinogram to determine a coefficient vector of optimization function for the object of the particular size; and finally fitting the coefficient vector of the optimization function of the original sinogram to obtain the beam hardening correction coefficient for the object of the particular size.

Method and device of obtaining beam hardening correction coefficient for carrying out beam hardening correction on computed tomography data

A solid state power controller for an aircraft, the solid state power controller includes a solid state switching device for activating an electrical power output bus, a control unit for controlling the solid state switching device, and a current sensing circuit for monitoring current flowing in the electrical power output bus. The current sensing circuit includes a sensing fuse that provides a simplified and more reliable solid state power controller.

Display device, image displaying method and computerized tomography apparatus

A computerized tomography (CT) method and CT system. The method comprises projecting a beam from a radiation source within a display field of view (DFOV) toward a subject to be imaged; receiving, at a detector, the projected beam to collect projection data; determining whether in the projection a truncation occurs in which the subject exceeds the DFOV; and recording a truncated location of the projection if truncation occurs.

Computerized tomography (CT) method and CT system

A self adjusting bearing for use on a CT gantry is provided. The self adjusting bearing is configured to be mounted on a main frame of the CT gantry and is configured to support a rotating base of the CT gantry wherein the self adjusting bearing includes a roller, a first component, and a second component, the roller is configured to support the rotating base and is rotatably mounted on the first component, the second component is configured to be mounted on the main frame, and the first component and the second component are configured to rotatably engage each other such that they can rotate relative to each other during the mounting of the self adjusting bearing.

Self adjusting bearing used on CT gantry

An apparatus for segmenting a cerebral hemorrhage site in a medical image of a head comprises a means for segmenting an internal region of a skull bone in the medical image of the head, a means for segmenting a possible region in which a cerebral hemorrhage site is contained, out of the region segmented by the means for segmenting the internal region of the skull bone, and a means for determining a cerebral hemorrhage site out of the region segmented by the means for segmenting the possible region in which the cerebral hemorrhage site is contained.

Method and apparatus for cerebral hemorrhage segmentation

The present invention is intended to improve the quality of a three-dimensional display image, an MPR display image, or an MIP display image presented by an X-ray CT system that performs a conventional (axial) scan, a cine scan, or a helical scan. The X-ray CT system includes an image reconstruction unit or an image display unit. The image reconstruction unit or image display unit measures deviations of tomographic images in an x direction that is a horizontal direction and deviations thereof in a y direction that is a vertical direction according to the continuity in a z direction of an object that exhibits high CT numbers and that is visualized as a reference in the tomographic images; such as, a cradle, a head holder, the surface of a subject's body, or a bone. The image reconstruction unit or image display unit then compensates the deviations.

X-ray CT system

The present invention provides a method and apparatus for appropriately calculating 3D volume of cerebral hemorrhage lesion. The present invention sets a ROI for normal cerebral parenchymal region and a ROI for cerebral hemorrhage lesion respectively for a plurality of continuous slice images obtained by imaging the head having cerebral hemorrhage onset with an X-ray CT device, determines a mean value of the CT values of pixels within the ROI of normal cerebral parenchymal region for each of a plurality of images, then determines an amount of shift of mean values of images based on the mean value of one image, adjusts the CT value of pixels in the ROI of cerebral hemorrhage lesion for each image by using the amount of shift for each image, specifies the maximum value of the adjusted CT value through a plurality of images, and then calculates the 3D volume of the cerebral hemorrhage lesion.

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Beijing, China

Xueli Wang