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130 results about "Window level" patented technology

Window level/center. The window level (WL), often also referred to as window center, is the midpoint of the range of the CT numbers displayed. When the window level is decreased the CT image will be brighter and vice versa.

Method for automatically detecting coronary artery calcified plaque of human heart

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.
Owner:数坤(上海)医疗科技有限公司

Medical image browse device with somatosensory interaction mode

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.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Automatic management method and system for multi-level pop-up boxes on iOS system device

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.
Owner:WUHAN DOUYU NETWORK TECH CO LTD

Automatic window width and window level extraction method based on neural network

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.
Owner:SHANGHAI UNITED IMAGING HEALTHCARE

Self-adaptive window width and window level adjusting method and device, computer system and storage medium

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.
Owner:PING AN TECH (SHENZHEN) CO LTD
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