131 results about "Window level" patented technology

A method of automatically determining window-level settings in a digital image of a subject. The method includes the steps of: accessing the digital image; obtaining body part or coil type information; determining a region of interest (ROI) within the digital image; producing and processing a ROI-histogram; defining a W-L value for a linear or non-linear image intensity range re-mapping; and a linear or non-linear re-mapping the image intensity range.

Certain embodiments of the present invention provide a system and method for image registration and display of relevant information. The method includes identifying one or more anatomical parts in an acquired image, mapping the acquired image to a reference image based on the one or more anatomical parts, storing anatomy information in relation to the acquired image, and displaying the acquired image based on the anatomy information. The method may also include controlling the displaying of the acquired image based on a voice command related to the anatomy information. Anatomy information may be displayed with the acquired image. Anatomy information may include clinical information, reference information, disease process information, a related image, and / or drug interaction information, for example. The acquired image may be displayed according to a display setting, such as a window level setting and / or other display setting, based on the anatomy information.

The invention discloses a method for automatically detecting a coronary artery calcified plaque of a human heart. The method comprises the following steps of S1.adopting a deep learning neural networkto segment an original graph of a coronary artery CTA sequence in order obtain a coronary artery extraction graph of the human heart; S2.processing the coronary artery extraction graph of the human heart to generate a straightening picture of each branch vessel; S3.carrying out blood vessel segmentation on each straightening picture to obtain a straightening blood vessel graph of each branch vessel; S4.adjusting a window width and a window level, calculating a pixel value of the whole picture of each straightening blood vessel graph, if a pixel point whose pixel value is greater than 220 exists, determining that a calcified plaque exists, and screening out the straightening blood vessel graph with the calcified plaque; S5.converting the straightening blood vessel graph with the calcifiedplaque into a grey scale graph, filling the pixel point whose gray value is larger than 220 with the color, and obtaining a calcified plaque extraction result; and S6.calculating a rate of stenosis ofthe blood vessel and obtaining a quantization value. The method is effective for detection of most calcified plaques, automatic detection can be realized, and the efficiency is greatly improved.

The traditional medical image display mode is difficult to realize the combination of digital display and non-contact interaction. The invention discloses a somatosensory image browser composed of a somatosensory video camera, an image browse software system, a personal computer and a display device. The image browse software system is configured in the personal computer, and comprises a depth data processing system and a medical image display system. The somatosensory video camera obtains the depth information and executes data communication with the personal computer, the depth data processing system analyzes the data to realize the somatosensory interaction, and the medical image display system is used for displaying digital images and processing the images. The somatosensory image browser can execute image processing operations of scaling, rotation, translation, changing display quantity, changing window width and window level, and the like, on the displayed medical images via gestures. The browse device can be used for solving the problem of combination of medical image digital display and non-contact interaction, and is very suitable for being used in occasions with high requirements on sanitary conditions, such as an operating room and the like.

A method, apparatus and computer program product are provided to process a compressed image, such as a normalized DICOM image. A method may receive a compressed image having pixels that each have by a pixel value having a predefined number of bits in a grayscale format. The method may decompress the image by mapping the pixel value into two channels of a multi-channel output buffer, such as a red-green-blue (RGB) output buffer, such that each channel has fewer than the predefined number of bits. The method may render a scene of the image based upon camera coordinates and, for a rendered pixel, sample a plurality of RGB values, convert the plurality of RGB values to the grayscale format having the predefined number of bits, perform an interpolation of the RGB values following conversion to the grayscale format and perform a window level operation on the result of the interpolation.

A method, system, and article of manufacture are described for interactive control of multiple images with a high dynamic range that are displayed simultaneously. A medical image control engine provides several synchronous functional capabilities, which comprises an input module, a blending factor synchronization module, a window / level synchronization module, a display module, and an image storage. For window / level adjustment of two images in blended views, the blending factor synchronization module is configured to automatically link the activation of a window / level control of one image with a transparency blending factor that affects both images. For synchronization of window / level adjustments of two or more images, a window / level synchronization module is configured to automatically change window / level parameters of all remaining images when the user makes an adjustment to a window / level control of one image such that all images with updated window / level parameters are displayed simultaneously.

Certain embodiments of the present invention provide methods and systems for synchronizing a view of a patient image with an atlas image. Certain embodiments provide a method for synchronizing a patient image with an atlas image. The method includes retrieving an image atlas including at least one atlas image, registering an atlas image to a patient image and synchronizing a view of the atlas image to a view of the patient image. In certain embodiments, the method further includes registering a plurality of atlas images to a plurality of patient images. In certain embodiments, the step of synchronizing further includes synchronizing at least one of orientation, zoom level, window level and pan of the atlas image to the patient image.

The invention relates to the field of information interaction, and discloses an automatic management method for multi-level pop-up boxes on an iOS system device. The method comprises the steps that a pop-up window array for storing pop-up window view pointers and a pop-up box management class for managing pop-up window views are created; when a new pop-up window view appears, the pop-up box management class stores a point of the novel pop-up window view into the pop-up box array according to the priority of the pop-up window level of the new pop-up window view, and the pop-up window view pointers with the high priority of the pop-up window levels are located in front of the pop-up window view pointers with the low priority of the pop-up window levels; according to the pop-up window array, the pop-up window views corresponding to the pointers are shown in sequence according to the pointer arrangement sequence from front to back, and the pop-up window views corresponding to the pointers are shown in sequence according to the arrangement sequence of the pointers from front to back in the pop-up window array. The invention further comprises an automatic management system for multi-level pop-up boxes on the iOS system device. The multi-level pop-up window views can be automatically, conveniently and rapidly managed.

A method, computing device and computer program product are provided in order to utilize a multitouch user interface so as to adjust the window width and window level of an image. In the context of a method, an indication of user input provided via a multitouch user interface is received. The indication of user input includes an indication of respective positions of first and second fingers upon the multitouch user interface. The method also includes adjusting, with processing circuitry, a window width of an image based upon a change in spacing between the first and second fingers. Further, the method includes adjusting, with the processing circuitry, a window level of the image based upon a change in location of a reference point defined by the respective positions of the first and second fingers upon the multitouch user interface.

A method and apparatus for processing digital mammographic images. The method and apparatus providing comparable mammographic images regardless of the imaging device generating the raw mammographic images. The processed mammographic images may be displayed with optimal global and local contrast, enhanced sharpness, and without the need to apply window level settings or data from lookup tables. A second mammographic image is generated out of a processed first mammographic image in such a way that the projected object, the breast, is more perceptible and obvious for a physician or other medical professional reviewing the mammographic image.

An X-ray diagnostic imaging system is disclosed that includes an X-ray source for controlling an X-ray beam radiated towards a patient under examination. The X-ray source includes an X-ray tube and X-ray collimator assembly. The system includes an-ray imaging device arranged for receiving the X-ray beam after is has passed through the patient to acquire latent image frames of a region of interest (ROI) of the patient's anatomy, and a system controller coupled to X-ray source and X-ray imaging device for controlling latent image frame acquisition and post-acquisition processing. The controlling includes controlling the X-ray imaging device and X-ray positioning, and collimator assembly operation. An image processing chain including an image processor coupled to the system controller, receives latent image frames from the X-ray imaging device for processing, including calculating a histogram from which pixels within a collimated area are removed. The improved histogram is used in post-acquisition processing such as a window level setting. An X-ray image processed by functions using the improved histogram is displayed by a display device coupled to the image processing chain.

A thickness balancing method and device for a breast image. The thickness balancing method for the breast image includes the steps of: obtaining a breast image; filtering the breast image to obtain a low frequency breast image and a high frequency breast image; performing gray scale transformation on a preset area in the low frequency breast image to obtain a first image, a gray value of a preset area in the first image tending to be consistent with a gray value of a neighborhood, and the preset area referring to an area at a predetermined distance from an edge of the low frequency breast image; and reconstructing the first image and the high frequency breast image to generate a thickness-balanced breast image. The breast image after balancing which is obtained through the technical scheme of the invention has uniform gray scale while details of the breast image are not lost, satisfies actual clinical needs, the breast image after balancing is adopted to be diagnosed on a window level of a certain window width, and loss of edge information of the breast image does not occur, thereby lowering the rate of missed diagnosis, and improving the accuracy rate of diagnosis.

An embodiment of the invention discloses a method for managing multiple windows. The method includes displaying at least two windows in a display interface according to window attribute information of the windows; receiving a window edit instruction, which is transmitted from a user, for a target window; and executing edit operation corresponding to the window edit instruction for the target window according to the window edit instruction and keeping a display position level of the target window on the display interface unchanged. The window attribute information contains a window identity and window level attributes. The window edit instruction contains the window identity of the target window. The embodiment of the invention further discloses a terminal. The method and the terminal have the advantages that the multiple windows can be displayed on the display interface according to window attribute information, when the target window is edited, the display position level of the target window on the display interface is unchanged, a level relation among the multiple windows can be effectively managed, and clear display position levels of the various windows on the display interface are kept.

The application provides a medical image data processing method. The method comprises the steps as follows: acquiring a first training image which has first contrast information; acquiring second contrast information of a second training image, wherein the second training image is generated by adjusting window width and / or window level of the first training image; training a first neural network model based on the first training image and the second contrast information, and configuring the trained first neural network model to be able to convert contrast information of an image to be processed into the contrast information of a target image.

The invention discloses a wireless ad hoc network carrier detection channel access method based on time / power two-dimensional backoff. According to the success situation of current data frame transmission of a node, the size of a backoff window and the value of a transmission power of the node are adjusted jointly based on a time / power two-dimensional backoff algorithm; if the node fails to send adata frame, the probability of participating in a competition channel by the node at the time dimension is reduced by increasing a backoff window; and the interference signal strength of the node atthe spatial dimension is reduced by reducing the transmission power. Meanwhile, a relationship among a network saturation throughput, a transmission power and a competition window is analyzed by constructing a three-dimensional Markov chain model and values of an optimal transmission power and a completion window level are determined under certain network scale conditions. The simulation result shows that performances in terms of the network throughput, data packet delay and average energy consumption reduction can be improved by using the method disclosed by the invention.

Certain embodiments of the present invention provide methods and systems for synchronizing a view of a patient image with an atlas image. Certain embodiments provide a method for synchronizing a patient image with an atlas image. The method includes retrieving an image atlas including at least one atlas image, registering an atlas image to a patient image and synchronizing a view of the atlas image to a view of the patient image. In certain embodiments, the method further includes registering a plurality of atlas images to a plurality of patient images. In certain embodiments, the step of synchronizing further includes synchronizing at least one of orientation, zoom level, window level and pan of the atlas image to the patient image.

The invention provides a method and a device for displaying an interesting region of a medical image. The method for displaying the interesting region of the medical image comprises the following steps of obtaining the medical image comprising the interesting region; displaying the medical image, and obtaining a window width / window level value corresponding to display; constructing a segmentation algorithm based on the window width / window level value, wherein the window width / window level value is used as an input parameter of the segmentation algorithm; computing and obtaining an outline of the interesting region based on the portioning algorithm; displaying the outline on the medical image. According to the technical scheme of the invention, self-adaption segmentation of the medical image can be carried out according to the regulation of a user on the window width / window level value of the medical image.

The invention discloses an automatic window width and window level extraction method based on neural network. The automatic window width and window level extraction method classifies MR (magnetic resonance) images by utilizing an adaptive K clustering method, and comprises the following online training steps of (e) extracting histogram characters and space information characters of new MR images; (f) according to the histogram characters and the space information characters of the new MR images, classifying the new MR images by utilizing the adaptive K clustering method; and (g) comparing each class of the classified new MR images with each class of the current trained images, and firstly calculating the similarity of each class of the images with each class of the current trained images; if no similarity exits, adding a new class based on the original classes; and if the similarity exists, judging whether the window width and the window level of the class of the images are same as the golden standards of the window width and the window level of the class of the current trained images or not; if the window width and the window level of the class of the images are same as the golden standards of the window width and the window level of the class of the current trained images, not adding the new class; and if the window width and the window level of the class of the images are not same as the golden standards of the window width and the window level of the class of the current trained images, adding a new class based on the original classes. According to the automatic window width and window level extraction method based on neural network, which is disclosed by the invention, the online training can be automatically realized.

The invention relates to a window width and window level adjusting method for a pixel set with large data volume, which comprises the following steps of: displaying a gray level image on an ordinary RGB (Red, Green and Blue) display in a window-adding manner through setting a DIB (Device Independent Bitmap) color contrast table aiming at a digital medical image of DICOM (Digital Imaging and Communications in Medicine) format; during the process of adjusting the window width and the widow level of the image in real time, filtering a response frequency through modular arithmetic; intercepting and zooming an interest region of the image; establishing a window adjusting transformation rapid access table, and searching a pixel set in the traversal interest region of the window adjusting transformation rapid access table to obtain a method of displaying a gray level value and the like so as to reduce the amount of calculation during the window adjusting process of the pixel set, so that the window width and the window level can be adjusted continuously and smoothly in real time even for an image file with very large data volume.

The invention discloses a CUDA-based DICOM medical image dynamic nonlinear window modulation method. The method comprises the steps of (1) reading DICOM image pixel value information and DICOM image tag information in DICOM-format images; (2) setting the window width and the window level of an image window, and using a nonlinear function for window modulation; (3) on the basis of a CUDA, adopting a parallel algorithm to calculate a mapping equation in nonlinear window modulation, and obtaining pixel data of a DIB image through calculation; (4) according to a pixel data set composed of the pixel data, obtained through calculation, of the DIB image, filling a bit image structural body with the tag information read in the step (1), and displaying the constructed bit image; (5) according to the displayed bit image, judging whether the window width and the window level of window modulation need to be reset or not is judged, and if the window width and the window level of window modulation need to be reset, executing the step (2) again. The image can be more delicately displayed through nonlinear window modulation, the image enhancement effect is achieved, the time for generating the DIB image is effectively shortened through CUDA-based parallel calculation, and the real-time performance is ensured.

The invention provides a medical image display method and device and a computer storage medium. The medical image display method includes the steps of: dividing a medical image into a plurality of regions; performing mapping for each region using a corresponding window width and window level value; and performing combined display of at least two different regions of the plurality of mapped regions.

A method for generating an image of an obtaining a three-dimensional (3D) volume dataset of an object of interest, automatically analyzing the 3D volume dataset to generate a window level setting, automatically generating a window width setting based on the window level setting, and automatically displaying an image of the object of interest using the window width setting. An imaging system and a non-transitory computer readable medium are also described.

The invention provides a medical image processing method and device, an apparatus and a storage medium. The medical image processing method provided by the invention comprises the following steps: obtaining a gray histogram of a first medical image; acquiring at least one gray histogram of the second medical image according to the gray histogram of the first medical image and at least one window width window level; determining a gray level threshold corresponding to each gray level histogram of the second medical image; determining an optimal gray level threshold from among gray level thresholds corresponding to the at least one gray level histogram; determining a window width window level corresponding to the optimal gray scale threshold as a window width window level for performing bloodvessel image segmentation on the first medical image. The invention can shorten the determination process of the window width and the window level, reduce the time cost of creating the blood vessel three-dimensional image, and improve the user experience.

The invention discloses a method of adjusting window width and window level of medical image in a browser. The method includes steps that a browser loads medical images of DICOM(Digital Imaging and Communications in Medicine), the browser hooks mouse events of moving and adjusting window width and window level of medical images of DICOM through a mouse, the browser generates in real time request messages sent to a server for request parameter, the browser sent the request messages to the server by using AJAX(Asynchronous JavaScript and XML), the server adjusts the medical images of DICOM into JPG (Joint Picture Group) images with specified window width and window level according to the request parameter of the request massages and the server sends the JPG images to the browser to display. The method can achieve to browse medical images of DICOM and adjust window width and window level of images without needing to install client-end or any plug-in in the browser and the whole process is more concise and is conveniently used by users.

The invention discloses a page content presenting method and device for a browser. Set membership is not formed between a main window and a page window. The main window and the page window are placed in different processes. The page content presenting method comprises creating the main window of the browser through a main window process and creating a corresponding user currently visible page presenting window in the main window according to starting of a page window process; taking charge of an execution process of an operating system function which is related to drawing in the page window process and enabling content of a page to be drawn to a manageable storage space; transmitting the page content which is drawn in the manageable storage space to the main window process and enabling the page content to be drawn to the corresponding page presenting window through the main window process to present an image of the page. According to the embodiment of the page content presenting method and device for the browser, the apparent death of the browser is avoided due to the architecture and design and meanwhile the problem of disordered window levels is solved.

An apparatus for processing a computed tomography (CT) image includes a processor configured to set window widths and window levels of a plurality of setting areas, and a display configured to display a screen view showing a plurality of CT images on the plurality of setting areas, wherein the plurality of setting areas have different window levels. The window widths are portions of a display range of the display, and the window lengths are midpoints of the portions of the display range of the display. The processor generates and converts the CT images according to the window widths and the window levels.

Certain embodiments of the present invention provide methods and systems for synchronizing a view of a patient image with an atlas image. Certain embodiments provide a method for synchronizing a patient image with an atlas image. The method includes retrieving an image atlas including at least one atlas image, registering an atlas image to a patient image and synchronizing a view of the atlas image to a view of the patient image. In certain embodiments, the method further includes registering a plurality of atlas images to a plurality of patient images. In certain embodiments, the step of synchronizing further includes synchronizing at least one of orientation, zoom level, window level and pan of the atlas image to the patient image.

The invention relates to the technical field of artificial intelligence, and discloses a self-adaptive window width and window level adjustment method and device, a computer system and a storage medium, and the method comprises the steps: extracting the gray value of each pixel in a to-be-adjusted image, and collecting the gray values to obtain an input feature vector; calculating a truncation adjustment coefficient of each gray value in the input feature vector through a derivable truncation model, summarizing the truncation adjustment coefficients to form a truncation adjustment vector, andadjusting the input feature vector according to the truncation adjustment vector to generate an output feature vector; and sending the output feature vector to a preset neural network, updating the weight of the derivable truncation model by the neural network according to the output feature vector to generate an output feature vector conforming to a neural network loss function, and generating awindow width and window level image according to the output feature vector. The window width and window level image obtained by the invention not only meets the requirement of a user for adjusting thewindow width and window level, but also meets the requirement of a neural network for processing or classifying the window width and window level.