Method and device for generating grayscale mapping curve of medical image

Abstract

The invention provides a gray scale mapping curve generation method and apparatus for medical images. The gray scale mapping curve generation method includes the steps: determining a distance-gray scale curve, wherein the distance is the minimum distance between the pixel points in a target region in a medical image and the pixel points at the edge of the target region; and the gray scale is the mean value of the pixel point gray value corresponding to the minimum distance; dividing the distance-gray scale curve into N segments, and acquiring the gradient of the N gray scale mapping segments and the initial point gray value to generate a gray scale mapping curve, wherein the gradient of the Nth gray scale mapping segment correlates with the ratio between the preset point gray value on the distance-gray scale curve and the mean value of the gray values of the corresponding head and tail points on the Nth curve segment; and the initial point gray value on the Nth gray scale mapping segment correlates with the initial point gray value on the ( N-1)th gray scale mapping segment and the gray scale variation on the ( N-1)th curve segment; and at last, fitting the gray scale mapping segments to obtain a gray scale mapping curve. The gray scale mapping curve of the gray scale mapping curve generation method and apparatus for medical images can enable the gray scale of the target region to be uniform, and conforms to the clinic requirement.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method and device for generating a grayscale mapping curve of a medical image. Background technique [0002] With the development of computer science and information technology, medical imaging technology has been developed rapidly, and various medical imaging systems are constantly emerging. Such as Magnetic Resonance Imaging (MRI, Magnetic Resonance Imaging), Computed Tomography (CT, Computed Tomography), Positron Emission Computed Tomography (PET, Positron Emission Computed Tomography), X-ray photography system, full-view digital mammography system ( FFDM, full-field digital mammography), digital breast tomosynthesis system (DBT, digital breast tomosynthesis), etc. [0003] For the medical images captured by the medical imaging system, the gray value of the target area in the captured medical image may be uneven, which does not meet the actual clinical needs, such ...

AI Technical Summary

Problems solved by technology

However, the grayscale mapping curve obtained by the existing method cannot be applied to all medical images on the one hand, and the grayscale value of the adjusted target area is still uneven, and the adjusted target area does not conform to actual clinical needs

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