Medical dr equipment is currently the mainstream X-ray examination method, it has a fast imaging, convenient storage, easy image post-processing and many other advantages, has gradually replaced the traditional X-ray machine. However, in practical application, the image quality of medical dr equipment still has some problems, such as image contrast is not strong, the image is not clear, the noise is too obvious, the image brightness is not symmetrical and so on. Once the image quality of dr equipment is poor, it may cause missed diagnosis, misdiagnosis, or damage to the examiner’s organism due to improper dosage, so ensuring the image quality of medical dr equipment should be the top priority.
In the end, what factors will affect the image quality of medical dr equipment? Perlove Medical summarizes the following factors.
The image quality of various detectors in medical dr equipment is measured in terms of resolution and DQE (Quantum Capture Efficiency), and DQE is its main measure, which characterizes the dose efficiency of the imaging system. It combines many factors such as system contrast, image resolution, and the effect of noise, and measures the performance of the noise/signal-to-image conversion of the input X-rays.
DQE represents the ratio of signal-to-noise ratio retained by a digital x-ray imaging device in converting a radiographic image to a digital image image. In the field of X-ray imaging, the noise of the radiographic image is closely related to the exposure dose, and the DQE value likewise expresses the efficiency of the digital imaging device in utilizing the incident dose. The exposure dose is also related to the health of the people in contact with it, so the DQE value is an important technical index for testing digital medical X-ray diagnostic equipment. Only a reasonable choice of DQE index can obtain the desired image quality and make the application of medical dr equipment technology more advantageous.
A digital image consists of pixels, which are arranged in rows or columns in the form of a matrix. Each pixel has its own gray scale, which creates the different shades that we can discern in the image. The size of each pixel of a digital image determines the spatial resolution of the image, i.e. the smallest object we can find in the image.
Overall, the more pixels the better the image resolution, but it does not mean that the image quality is better, for our imaging system, when the pixels are high to more than a certain point, the image quality is not good, mainly because the more pixels, the more photoreceptors we use, the same size of the flat panel will make the photoreceptors smaller, each photoreceptor receives less opto-electronic information, and therefore can not form a very good image. Moreover, the more photoreceptors used, the higher the cost. Also, hardware and illumination conditions affect the image, so don’t just go for extremely high pixels.
The signal-to-noise ratio of a digital image is the ratio of the image signal to the noise. Generally speaking, the larger the signal-to-noise ratio, the smaller the image noise, the better the quality of the image, that is, the clearer; on the contrary, the smaller the signal-to-noise ratio, the larger the image noise, the poorer the quality of the image, the more rough it looks. But the signal-to-noise ratio can be adjusted by changing the illumination conditions, increase the illumination conditions (increased kilovolts or milliamps) will increase the signal-to-noise ratio, but if the illumination conditions, the smaller the image signal-to-noise ratio will be the smaller, the higher the image noise, that is, it looks like a big grain sense, more rough.
Medical dr equipment has a powerful image post-processing functions, diagnostic doctors can adjust the image contrast and other parameters according to the specific conditions of the patient’s disease, and then through a series of image post-processing technology (such as automatic image processing technology, edge enhancement technology, zoom roaming, the interest area of the window width window position adjustment, as well as the distance, area, density measurements and other rich features), to extract rich and reliable clinical diagnostic information, for the diagnosis of disease, especially for the diagnosis of the disease, especially in the area of the window. It can extract rich and reliable clinical diagnostic information and provide reliable diagnostic basis for the diagnosis of diseases, especially for the discovery of early lesions.
Currently, domestic medical DR equipment pays special attention to the upgrading of image post-processing system, such as the large field of view flat-panel dynamic DR (model: PLX8600) developed and produced by Perlove Medical, which applies the company’s self-developed tissue equalization technology, which is based on the multi-layer hierarchical detail equalization algorithm that extends the low-gray zone to the high-gray zone. For the human body image, through the tissue equalization, the image details are prominent and obvious, and the fine blood vessels at the end of the lung texture and the texture of the bones, muscle levels, etc. can be clearly displayed.