Medical image window parameter self-adaptive regulation method

Abstract

The invention discloses a self-adapting adjustment method for medical image window parameters. The method calculates the left boundary and right boundary of the window according to the accumulated probability intensity function of digital medical images, fractile of probability p, fractile of probability 1-p and climbing parameter q, so that position boundaries at major body of the image column diagram can be used to suitably determine the window parameter width and position of medical images, and then reflects the pixel value of digital medical images to the grey area in the grey stage range of the display. The invention has the advantages that through the automatic calculation of the optimum window width parameters through medical image information, users can obtain clear and satisfactory display images, thus having the high robustness; the window determined by the invention makes full use of the display gray stage of display, giving prominence to organization information useful for clinical diagnosis; the test and long-time clinical application prove that the invention is suitable for most of medical images and has the good display effect.

Description

Technical field [0001] The invention relates to a medical image display processing method, in particular to an adaptive adjustment method of medical image window parameters. Background technique [0002] The digital medical image adopts the DICOM (Digital Imaging and Communication of Medicine) standard format. The image data represents the density information of human tissue collected by the medical imaging device. The data of each pixel on the image generally has 8 bits-16 bits. The current digital medical images are generally displayed in the form of grayscale images on the display screen, and most displays often only support 8bits grayscale display, so only part of the information of the digital medical images can be displayed. In view of this, the display of medical images usually adopts a technique called window adjustment (also called window width and window level), that is, only a part of the pixel value range of the original medical image is mapped to the gray scale that ...

AI Technical Summary

Problems solved by technology

[0003] One of the problems faced by the window adjustment technology in displaying medical images is whether the displayed medical images can fully highlight the key information useful for diagnosis, such as soft tissue, bone, brain tissue, lung, abdomen, etc. in the image

In practical applications, due to the large number of manufacturers and equipment models of medical imaging equipment, in many cases, the image file does not indicate the imaging part, and it is quite difficult for the computer to quickly identify the imaging tissue at present, and it must be processed through interactive adjustment. Get a satisfactory display image

[0008] None of the three existing methods for determining the window can automatically calculate the appropriate window parameters by the computer, and must be adjusted interactively to obtain medical images that meet the requirements.

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