Method for post-processing of images acquired by digital mammography machine

Abstract

The invention relates to a method for post-processing images of acquired by a digital mammography machine, in particular to an image restoration and enhancement technique. The method is applied to the control software of the digital mammography machine and used for processing original images acquired by the digital mammography machine. The method provide by the invention can be used for restoring and enhancing whole original breast images through multiple different algorithms. The operand of each algorithm is a whole image, and the operation of distinguishing a foreground region from a background region is eliminated. The invention further provides the novel algorithms for breast images and improves the conventional algorithms. According to the invention, multiple algorithms are combined and utilized, and appropriate arithmetic parameters are set, so as to conduct superposed processing on the original breast images. Finally, the invention provides an image effect adjustment tool so as to meet the demand of effect diversity.

Description

Technical field [0001] The invention relates to an image method for post-processing an original image collected by a digital breast machine, in particular to a restoration and enhancement algorithm of a breast image, and is mainly applied to the control software of the digital breast machine. Background technique [0002] The current mammography machine is undergoing a transition from a molybdenum target machine to a digital one. Due to the characteristics of digital mammography imaging devices (such as flat-panel or CMOS detectors), the original images acquired by them are whitish in the negative image state, concealing the details of the human body (as attached figure 1 The left image of) must be restored and enhanced using image post-processing methods before it can be used for clinical diagnosis. The quality of the post-processing software determines the image effect presented to the doctor by the digital breast machine, which is its core software module. The method discusse...

AI Technical Summary

Problems solved by technology

The advantage of this method is that the background area is eliminated, the processing speed is improved, and the background can be set to pure black, which is more beautiful; the disadvantage is that there is no 100% correct image segmentation algorithm, and the foreground and background of the image to be processed vary greatly. In some cases, due to the misjudgment of the segmentation algorithm, the foreground area will be excluded from the processing, or the background will be treated as a valid area. In these cases, the processed effect is unusable and becomes a waste film, and the patient needs to go through X again. Radiography, re-radiography

Images