Art • Technology – Dynamic DR HD Image Secret

Release date: 2016-05-03

Mentioning the Mona Lisa, I am sure everyone is familiar with it. This masterpiece by Leonardo da Vinci, known as "the only versatile talent in human history," has been known for centuries and is regarded as the most expensive portrait. This unparalleled collection is extremely meticulous in terms of facial expressions, facial structure and overall color. From the perspective of painting science, this painting was the first successful case of applying painting perspective to oil painting. The mysterious smile of the Mona Lisa's mouth and the shadow effect gives people an infinite imagination.

Mysterious smile of Mona Lisa
What kind of technique did the great Da Vinci use to make her look so perfect, it was vaguely felt that she was smiling, but when she looked carefully, the smile disappeared. After research by scientists, Mr. Da Vinci used the signature stunt "smoothing method" in his creation. He chose the unusually delicate pigment on his finger to paint the Mona Lisa. He added almost the already dried color. Transparent and light, the entire painting incorporates a total of 40 layers of ultra-thin paint, but the thickness of all pigment layers does not add up to 40 microns. It is with these flaws that the Mona Lisa smiles that makes her future generations fascinated.
The dynamic DR that is to be revealed in this paper has a good performance in terms of contrast, sharpness and organizational balance. Just as Mr. Da Vinci created a unique painting using the “smoothing method”, the image processing of the dynamic DR of Anjian Technology Technology has made X-ray images of “ protecting health ”.
Chest film
Exposure area automatic detection algorithm
In order to minimize the dose to which patients and operators are exposed, dynamic DR typically limits the field with a beam limiter so that the image shows both exposed and unexposed areas. In the image processing process, the dynamic DR workstation can automatically detect the exposure area by using the automatic detection algorithm of the exposure area, which reduces the repetitive workload brought by the doctor's manual selection area, and can provide convenience for the subsequent area equalization of the image, and can remove the non-exposure. The processing of regional image data improves the efficiency of program operation. As shown in the figure below, the green frame is the detected exposure area.
Figure 1 Test results of common body position
Figure 2 Test results of special posture
Adaptive nonlinear brightness adjustment technique
Dynamic image processing is divided into two processes: pre-processing and post-processing. The parameters of the post-processing process are generally set in advance, and will not be adaptively adjusted as the brightness of the image changes. When the shooting dose is insufficient, the image brightness does not reach the expected value, so the final image effect will be greatly affected, and even affect the doctor's diagnosis. In response to this situation, dynamic DR uses an adaptive nonlinear image brightness adjustment method. The method can automatically adjust the brightness of the image in a nonlinear manner, and ensure that the image can still have a good contrast when the shooting dose is low, resulting in insufficient contrast, which satisfies the doctor's diagnosis requirements, and effectively reduces the number of retakes and reduces the radiation to the patient. hurt.
Figure 1 Chest x-ray original picture
Figure 1 shows a chest x-ray film with a central region brightness of about 1868 (the mean histogram is 7.3, multiplied by 256), and according to the statistics, the normal brightness should be around 4000, and the brightness is different. Farther. The left figure in Fig. 2 shows the post-processing effect of Fig. 1 without brightness adjustment, the contrast is poor, the details are blurred, and the right picture of Fig. 2 has been adjusted by the brightness, and the effect is better.
Adaptive local contrast equalization
Since the thickness of the human tissue is different, the absorption rate of the X-rays of each tissue is also different, and thus the brightness values ​​exhibited by the respective tissues on the image are also different. In order to display different tissue information on the same image, different areas must be observed by manual adjustment. The general equalization method, although it can have a certain effect, has a limited effect, sometimes it is too balanced, and it will lose the contrast. The adaptive local contrast equalization technology adopted by dynamic DR can automatically determine the stretching direction and intensity of the pixel, so that different human tissues can be uniformly displayed, and reduce the workload of the doctor to manually adjust the window width window position and improve the diagnosis efficiency.
Figure 1 has not been processed by the technology in this paper. Figure 2
Figure 1 is the effect of the treatment without the technical treatment of the present invention. The soft tissues such as the skin and the abdominal fat line are too dark, and the information is not substantially obscured by the window width window. Fig. 2 shows the effect of the treatment of the present technology, the abdominal fat line and the stone can be better displayed, and the tissue contrast is obvious.
Mr. Da Vinci believes that the most beautiful thing in nature is the human body. Painters should use paintings to record the wonderful works of nature in the human body. The X-ray image is the doctor's "painting" work on the human body. It is very emotional and a great masterpiece to pay tribute to every life.

Source: Medical Device Network

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