A readout circuit adjustment method and system for an x-ray direct imaging detector

Abstract

The application provides a readout circuit adjustment method and system of an X-ray direct imaging detector, and the method comprises the following steps: S1: the imaging detector receives X-rays, and the X-rays excite electron-hole pairs of semiconductor materials in the imaging detector, so that the X-ray photons are converted into digital signals; S2: a readout circuit converts the digital signals into image signals, and amplifies the digital signals; S3: an image processing system analyzes and processes the image signals, and generates high-quality images; and S4: an adjustment system adjusts the generated high-quality images, and improves the signal-to-noise ratio and definition of the images. The application provides a readout circuit adjustment method and system of an X-ray direct imaging detector, so as to solve the problem that the quality of X-ray imaging is affected by the stability of equipment, and the imaging results are blurred and pseudo images appear.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of X-ray imaging technology, in particular to a readout circuit adjustment method and system of an X-ray direct imaging detector. BACKGROUND

[0002] Since the 1920s, X-ray detection technology has entered industrial applications. Initially, the technology was mainly used in the medical field, such as X-ray photography, for observing internal structures of the human body. With the development of computer technology and photoelectric materials, X-ray detection technology has gradually shifted from traditional film imaging to digital imaging. This shift has greatly improved detection efficiency and image quality, making X-ray detection technology more widely used in industrial fields. Digital X-ray detection technology includes indirect digital imaging and direct digital imaging. Indirect digital imaging records X-ray information on an imaging plate through an image intensifier, which is then read and converted into a digital image by a scanning device; while direct digital imaging uses flat panel detectors and other discrete X-ray detectors to directly receive X-rays and convert them into digital signals, with higher detection speed and image quality. The quality of current X-ray imaging is affected by the stability of the equipment, resulting in blurred and artifacted imaging results, which affects the accuracy of the detection results. SUMMARY

[0003] To solve the problems in the background art, the present application proposes a readout circuit adjustment method and system of an X-ray direct imaging detector, to solve the problem that the quality of X-ray imaging is affected by the stability of the equipment, resulting in blurred and artifacted imaging results. The technical solutions adopted are as follows:

[0004] A readout circuit adjustment method of an X-ray direct imaging detector, the method comprising:

[0005] S1: The imaging detector receives X-rays, excites the electron-hole pairs of the semiconductor material inside the imaging detector, and then converts X-ray photons into digital signals;

[0006] S2: The readout circuit converts the digital signals into image signals and amplifies the digital signals;

[0007] S3: The image processing system analyzes and processes the image signals to generate high-quality images;

[0008] S4: The adjustment system adjusts the generated high-quality images to improve the signal-to-noise ratio and clarity of the images.

[0009] Preferably, the readout circuit comprises a double sampling circuit, a sample-and-hold circuit, an analog-to-digital converter, and an output buffer, and a signal output end of the double sampling circuit is connected to a signal input end of the sample-and-hold circuit, a signal output end of the sample-and-hold circuit is connected to a signal input end of the analog-to-digital converter, and a signal output end of the analog-to-digital converter is connected to a signal input end of the output buffer.

[0010] Preferably, S2 comprises:

[0011] S21: The double sampling circuit performs reset signal sampling and integral signal sampling on the electrical signal collected by the readout circuit, subtracts the reset signal from the integral signal to obtain a net signal, and transmits the net signal to the sample-and-hold circuit.

[0012] S22: The sample-and-hold circuit receives the net signal and connects the net signal to an internal level, maintains the stability of the voltage, converts the stable electrical signal into a digital signal by the digital-to-analog converter, and transmits the digital signal to the output buffer, which amplifies the digital signal.

[0013] Preferably, S3 comprises:

[0014] S31: The image signal is preprocessed, the preprocessed image is deeply analyzed and processed, and the key features in the image are extracted.

[0015] S32: The image is enhanced according to the analysis result.

[0016] Preferably, S4 comprises:

[0017] S41: The generated image is quality evaluated, and the related parameters of the image are modified according to the evaluation result.

[0018] S42: The modified image is re-evaluated for quality to form a closed-loop feedback mechanism until the image quality reaches a specified value.

[0019] S43: The adjusted high-quality image is output to a display device or saved to a storage device.

[0020] A readout circuit adjustment system of an X-ray direct imaging detector, the system comprising:

[0021] An imaging detector: The imaging detector receives X-rays, excites electron-hole pairs of a semiconductor material inside the imaging detector, and further converts X-ray photons into digital signals.

[0022] A readout circuit: The readout circuit converts the digital signals into image signals and amplifies the digital signals.

[0023] Image processing system: the image processing system analyzes and processes the image signal to generate high-quality images;

[0024] Adjustment system: the adjustment system adjusts the generated high-quality images to improve the signal-to-noise ratio and clarity of the images.

[0025] Preferably, the readout circuit comprises:

[0026] Double sampling circuit: the double sampling circuit adopts reset signal and integral signal to the electrical signal collected by the readout circuit, subtracts the reset signal and the integral signal to obtain a net signal, and transmits the net signal to the sample and hold circuit;

[0027] Conversion system: the sample and hold circuit receives the net signal and connects the net signal to an internal level, maintains the stability of the voltage, and then converts the stable electrical signal into a digital signal by the digital-to-analog converter and transmits the digital signal to the output buffer. The output buffer amplifies the digital signal.

[0028] Preferably, the image processing system comprises:

[0029] Image processing system: the image processing system pre-processes the image signal, deeply analyzes and processes the pre-processed image, and extracts the key features in the image;

[0030] Image enhancement system: according to the analysis result, the image is enhanced.

[0031] Preferably, the adjustment system comprises:

[0032] Quality evaluation system: the quality evaluation system evaluates the generated image and modifies the related parameters of the image according to the evaluation result;

[0033] Quality evaluation cycle system: the modified image is re-evaluated to form a closed-loop feedback mechanism until the image quality reaches a specified value;

[0034] Output system: the adjusted high-quality image is output to a display device or saved to a storage device.

[0035] Advantages of the present application: the present application proposes a readout circuit adjustment method and system for an X-ray direct imaging detector, which solves the problem that the quality of X-ray imaging is affected by the stability of the equipment, resulting in blurred and false imaging results. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 The present application relates to a readout circuit adjustment method for an X-ray direct imaging detector;

[0037] Figure 2The readout circuit according to the present application. DETAILED DESCRIPTION

[0038] The preferred embodiments of the present application will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to explain and illustrate the present application, and are not used to limit the present application.

[0039] One embodiment of the present application is a readout circuit adjustment method of an X-ray direct imaging detector, the method comprising:

[0040] S1: The imaging detector receives X-rays, excites the electron-hole pairs of the semiconductor material inside the imaging detector, and further converts the X-ray photons into digital signals;

[0041] S2: The readout circuit converts the digital signals into image signals and amplifies the digital signals;

[0042] S3: The image processing system analyzes and processes the image signals to generate high-quality images;

[0043] S4: The adjustment system adjusts the generated high-quality images to improve the signal-to-noise ratio and the definition of the images.

[0044] The working principle and effect of the above technical solution are as follows: when X-rays are irradiated onto the imaging detector, the semiconductor material inside the detector will absorb the energy of the X-rays. These energies are sufficient to excite the electrons in the semiconductor material, causing them to transition from the valence band to the conduction band, thereby generating electron-hole pairs inside the material. These electron-hole pairs are separated and collected under the action of an electric field, forming an electrical signal. The readout circuit is a key part of connecting the imaging detector and the subsequent processing system. It is responsible for receiving digital signals from the imaging detector and converting them into image signals. This conversion process usually involves decoding, recombining, and formatting the signals to form recognizable image data. At the same time, the readout circuit also amplifies the signal to enhance the strength of the signal and improve the signal-to-noise ratio. This is crucial for improving the clarity and quality of the image. The image processing system receives the image signal from the readout circuit and performs further analysis and processing. These processes include image filtering, enhancement, sharpening, and noise reduction, aiming to improve the visual effect and quality of the image. The adjustment system includes various algorithms and tools for adjusting the brightness, contrast, color balance, and other parameters of the image to further improve the signal-to-noise ratio and clarity of the image. Through these adjustment steps, the adjustment system can ensure that the final output image has the best visual effect and quality, meeting the different needs and application scenarios of users. The semiconductor material inside the detector can efficiently absorb X-ray energy and convert it into electron-hole pairs, which are then converted into digital signals by the readout circuit. This efficient signal conversion capability enables the detector to quickly and accurately capture X-ray image information. The readout circuit amplifies the digital signal during the conversion to an image signal. This step not only enhances the strength of the signal but also helps improve the signal-to-noise ratio, reducing the impact of noise on image quality. The image processing system performs detailed analysis and processing of the image signal, including filtering, enhancement, sharpening, and noise reduction. These processing steps can significantly improve the visual effect and quality of the image, making the generated image clearer and more delicate. The adjustment system allows users to further adjust and optimize the high-quality image generated. By adjusting the brightness, contrast, color balance, and other parameters of the image, users can obtain the best visual effect according to actual needs. This flexible adjustment capability enables the detector to adapt to different application scenarios and needs.

[0045] In one embodiment of the present application, the readout circuit includes a double sampling circuit, a sample and hold circuit, an analog-to-digital converter, and an output buffer, and the signal output end of the double sampling circuit is connected to the signal input end of the sample and hold circuit, the signal output end of the sample and hold circuit is connected to the signal input end of the analog-to-digital converter, and the signal output end of the analog-to-digital converter is connected to the signal input end of the output buffer.

[0046] The working principle and effect of the above technical solution are as follows: the double sampling circuit is mainly used for preliminary processing of the signal after the detector receives the X-ray and generates an analog signal. It will sample the signal at two different time points, usually after the reset signal and the integration signal. The two sampling points correspond to the state of the detector when there is no X-ray irradiation and when there is X-ray irradiation. The output of the double sampling circuit is the signal difference value of the two sampling points, which removes most of the fixed pattern noise and dark current, and improves the signal-to-noise ratio of the signal. The sample and hold circuit receives the signal difference value from the double sampling circuit and maintains the stability of the signal for a period of time. This is because the conversion rate of the analog-to-digital converter cannot match the real-time changes of the detector signal, so a sample and hold circuit is needed to "freeze" the signal for accurate conversion by the ADC. The output of the sample and hold circuit is a stable analog signal, whose value corresponds to the signal difference value output by the double sampling circuit. The analog-to-digital converter is the core part of the readout circuit, which converts the analog signal from the sample and hold circuit into a digital signal. This conversion process is realized through comparators, counters and other circuits, which can quantize the continuous change of the analog signal into a series of discrete digital values. The main function of the output buffer is to buffer the digital signal output by the ADC and transmit it to the subsequent image processing system or storage device. Since the transmission speed of the digital signal may be limited by factors such as interface, bus bandwidth, etc., the output buffer can ensure the continuity and stability of the signal. The double sampling circuit in the readout circuit can remove most of the fixed pattern noise and dark current in the detector signal, thereby significantly improving the signal-to-noise ratio of the signal. The sample and hold circuit ensures that the signal received by the ADC during conversion is stable, avoiding the influence of signal fluctuations on conversion accuracy. At the same time, the high-precision ADC can accurately quantize the analog signal into a digital signal, preserving the details and accuracy of the signal. This makes the generated digital image accurately reflect the original signal of the detector, improving the accuracy and reliability of the image. Modern readout circuits usually use high-speed ADCs and optimized circuit design to achieve fast signal conversion and transmission.

[0047] In one embodiment of the present application, S2 comprises:

[0048] S21: The double sampling circuit adopts the reset signal and the integration signal to the electrical signal collected by the readout circuit, subtracts the reset signal and the integration signal, obtains the net signal, and transmits the net signal to the sample and hold circuit;

[0049] S22: The sample and hold circuit receives the net signal and connects the net signal to the internal level, maintains the stability of the voltage, and then converts the stable electrical signal into a digital signal by the digital-to-analog converter, and transmits the digital signal to the output buffer. The output buffer amplifies the digital signal.

[0050] The working principle and effect of the above technical solution are as follows: the double sampling circuit is mainly used for preliminary processing of the signal after the detector receives the X-ray and generates an analog signal. It will sample the signal at two different time points, usually after the reset signal and the integration signal. The two sampling points correspond to the state of the detector when there is no X-ray irradiation and when there is X-ray irradiation. The output of the double sampling circuit is the signal difference value of the two sampling points, which removes most of the fixed pattern noise and dark current, and improves the signal-to-noise ratio of the signal. The sample and hold circuit receives the signal difference value from the double sampling circuit and maintains the stability of this signal for a period of time. This is because the conversion rate of the analog-to-digital converter cannot match the real-time changes of the detector signal, so a sample and hold circuit is needed to "freeze" the signal for accurate conversion by the ADC. The output of the sample and hold circuit is a stable analog signal, whose value corresponds to the signal difference value output by the double sampling circuit. The analog-to-digital converter is the core part of the readout circuit, which converts the analog signal from the sample and hold circuit into a digital signal. This conversion process is realized through comparators, counters and other circuits, which can quantize the continuous change of the analog signal into a series of discrete digital values. The main function of the output buffer is to cache the digital signal output by the ADC and transmit it to the subsequent image processing system or storage device. Since the transmission speed of the digital signal may be limited by factors such as interface, bus bandwidth, etc., the output buffer can ensure the continuity and stability of the signal. The double sampling circuit in the readout circuit can remove most of the fixed pattern noise and dark current in the detector signal, thereby significantly improving the signal-to-noise ratio of the signal. The sample and hold circuit ensures that the signal received by the ADC during the conversion process is stable, avoiding the influence of signal fluctuations on the conversion accuracy. At the same time, the high-precision ADC can accurately quantize the analog signal into a digital signal, preserving the details and accuracy of the signal. This makes the generated digital image truly reflect the original signal of the detector, improving the accuracy and reliability of the image. Modern readout circuits usually use high-speed ADCs and optimized circuit design to achieve fast signal conversion and transmission.

[0051] In one embodiment of the present application, the S3 comprises:

[0052] S31: pre-processing the image signal, in-depth analysis and processing of the pre-processed image, and extracting key features in the image;

[0053] S32: according to the analysis result, the image is enhanced.

[0054] The working principle and effect of the above technical solution are as follows: first, the image signal is subjected to noise suppression processing to reduce random noise and interference in the image and improve the signal-to-noise ratio of the image. The image is subjected to geometric correction and brightness / contrast correction to eliminate image distortion and distortion caused by unevenness in the detector or imaging process. The preprocessed image is subjected to in-depth analysis using an image processing algorithm to extract key features in the image. The image is segmented into different regions or objects for further analysis and processing. The contrast of the image is adjusted to make the useful information in the image more prominent while suppressing unnecessary details and noise. The image is subjected to sharpening processing to enhance the edges and details of the image. According to the actual application requirements, the enhanced image is subjected to optimization processing to adapt to different display devices and environments. The preprocessing step can remove noise and interference in the image, improve the signal-to-noise ratio of the image, and make the image clearer and purer. The image after preprocessing and in-depth analysis processing is easier to observe and interpret, which helps professionals quickly obtain useful information in the image. In-depth analysis processing can further correct distortion and distortion in the image, improving the geometric accuracy and color accuracy of the image. Image enhancement processing can significantly improve the visual effect of the image, making the image clearer, brighter, and more detailed. Enhancement processing can highlight important information in the image and suppress irrelevant information, making the image more in line with the needs of the observer.

[0055] In one embodiment of the present application, the S4 comprises:

[0056] S41: quality evaluation is performed on the generated image, and according to the evaluation result, the relevant parameters of the image are modified;

[0057] S42: the modified image is subjected to quality evaluation again, forming a closed-loop feedback mechanism, until the image quality reaches a specified value;

[0058] S43: the adjusted high-quality image is output to a display device or saved to a storage device.

[0059] The working principle and effect of the above technical solution are: the generated image is comprehensively quality evaluated, the quality problem existing in the image is identified according to the quality evaluation result, and the related imaging parameter is adjusted accordingly. After modifying the imaging parameter, the image is regenerated and quality evaluated. By comparing the image quality before and after modification, the effect of parameter adjustment is evaluated. If the image quality still does not meet the specified standard, the imaging parameter is continuously adjusted according to the new evaluation result. This process forms a closed-loop feedback mechanism, and through continuous iteration optimization, the image quality meets the requirements. When the image quality reaches the specified value, the adjusted high-quality image is output to the display device for viewing. At the same time, the image is saved to the storage device for subsequent analysis, processing and archiving. The workflow is highly automated, reducing the need for manual intervention. Automatic processing not only improves work efficiency, but also reduces the possibility of human error. The closed-loop feedback mechanism enables the system to quickly respond to changes in image quality and adjust parameters in a timely manner to restore image quality, which is particularly important for real-time imaging applications. Adjusting multiple imaging parameters enables the system to adapt to different imaging needs and scenarios. By flexibly adjusting parameters, the best imaging effect can be obtained. After stage optimization, the final output image quality is stable and reliable, and can meet the needs of various application scenarios.

[0060] In one embodiment of the present application, a readout circuit adjustment system for an X-ray direct imaging detector includes:

[0061] Imaging detector: The imaging detector receives X-rays, excites electron-hole pairs in the semiconductor material inside the imaging detector, and then converts X-ray photons into digital signals;

[0062] Readout circuit: The readout circuit converts the digital signal into an image signal and amplifies the digital signal;

[0063] Image processing system: The image processing system analyzes and processes the image signal to generate a high-quality image;

[0064] Adjustment system: The adjustment system adjusts the generated high-quality image to improve the signal-to-noise ratio and clarity of the image.

[0065] The working principle and effect of the above technical solution are: in one embodiment of the present application, the readout circuit includes:

[0066] Double sampling circuit: The double sampling circuit performs reset signal sampling and integral signal sampling on the electrical signal collected by the readout circuit, subtracts the reset signal and the integral signal to obtain a net signal, and transmits the net signal to the sample and hold circuit;

[0067] The conversion system receives the net signal through a holding circuit, connects the net signal to an internal level, and stabilizes the voltage; after the stable electric signal is converted into a digital signal by a digital-analog converter, the digital signal is transmitted to an output buffer; and the output buffer amplifies the digital signal.

[0068] The working principle and effects of the above technical solution are as follows:

[0069] In an embodiment of the present application, the image processing system comprises:

[0070] The image processing system pre-processes the image signal, deeply analyzes and processes the pre-processed image, and extracts key features in the image.

[0071] The image enhancement system enhances the image according to the analysis result.

[0072] The working principle and effects of the above technical solution are as follows:

[0073] In an embodiment of the present application, the adjustment system comprises:

[0074] The quality evaluation system evaluates the generated image, and modifies the related parameters of the image according to the evaluation result.

[0075] The quality evaluation cycle system re-evaluates the modified image, forms a closed-loop feedback mechanism, and stops until the image quality reaches a specified value.

[0076] The output system outputs the adjusted high-quality image to a display device or saves it to a storage device.

[0077] The quality evaluation system obtains the signal-to-noise ratio, contrast, definition, color accuracy, and noise degree of the image, standardizes and normalizes the above parameters, obtains the quality evaluation result, compares it with the set image expected quality score Q, and the quality evaluation result is obtained through the following formula:

[0078]

[0079] Wherein, Q i represents the i-th quality evaluation result, R i represents the signal-to-noise ratio of the image, C i represents the contrast of the image, H i represents the definition of the image, A i represents the color accuracy of the image; N i represents the noise degree of the image, and alpha represents the noise degree weight of the image, and the value of alpha is 0.7.

[0080] When Q iWhen Q ≥ Q, it indicates that the current image quality score has reached the expected quality score, and then the values of the respective parameters are recorded, and the image is output to a display device or saved to a storage device;

[0081] When Q < Q, it indicates that the current image quality score is lower than the expected quality score, and the quality evaluation loop system adjusts the parameters of the image, and the parameters are adjusted according to the following formula: i When Q < Q, it indicates that the current image quality score is lower than the expected quality score, and the quality evaluation loop system adjusts the parameters of the image, and the parameters are adjusted according to the following formula:

[0082]

[0083] Wherein, R i+1 represents the signal-to-noise ratio after one cycle of image adjustment, C i+1 represents the contrast after one cycle of image adjustment, H i+1 represents the sharpness after one cycle of image adjustment, A i+1 represents the color accuracy after one cycle of image adjustment, and k represents an adjustment coefficient, and the value of k is 0.5.

[0084] Repeat the cycle until Q i When Q ≥ Q, the image is output to a display device or saved to a storage device.

[0085] The working principle and effect of the above technical solution are: the generated image is comprehensively evaluated for quality, the quality evaluation result is used to identify the quality problems in the image, and the related imaging parameters are adjusted accordingly. After modifying the imaging parameters, the image is regenerated and quality evaluation is performed. By comparing the image quality before and after modification, the effect of parameter adjustment is evaluated. If the image quality still does not meet the specified standard, the imaging parameters are continuously adjusted according to the new evaluation result. This process forms a closed-loop feedback mechanism, and through continuous iteration and optimization, the image quality meets the requirements. When the image quality reaches the specified value, the adjusted high-quality image is output to the display device for viewing. At the same time, the image is saved to the storage device for subsequent analysis, processing and archiving. The workflow is highly automated, reducing the need for manual intervention. Automatic processing not only improves work efficiency, but also reduces the possibility of human error. The closed-loop feedback mechanism enables the system to quickly respond to changes in image quality and adjust parameters in a timely manner to restore image quality, which is particularly important for real-time imaging applications. Adjusting multiple imaging parameters enables the system to adapt to different imaging needs and scenarios. By flexibly adjusting parameters, the best imaging effect can be obtained. After stage optimization, the final output image quality is stable and reliable, and can meet the needs of various application scenarios.

[0086] Obviously, many modifications and variations of the present application are possible in light of the above teachings. It is, therefore, to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A readout circuit adjustment method of an X-ray direct imaging detector, characterized by, The method comprises: S1: the imaging detector receives X-rays, excites electron-hole pairs of semiconductor materials inside the imaging detector, and then converts X-ray photons into digital signals; S2: the readout circuit converts the digital signals into image signals and amplifies the digital signals; S3: the image processing system analyzes and processes the image signals to generate high-quality images; S4: the adjustment system adjusts the generated high-quality images to improve the signal-to-noise ratio and definition of the images, and the quality evaluation system in the adjustment system obtains the signal-to-noise ratio, contrast, definition, color accuracy, and noise degree of the images, and after standardization and normalization processing of the above parameters, obtains a quality evaluation result, compares the quality evaluation result with a set image expected quality score Q, and the quality evaluation result is obtained through the following formula: wherein Q i represents the i-th quality evaluation result, R i represents the signal-to-noise ratio of the image, C i represents the contrast of the image, H i represents the sharpness of the image, A i represents the color accuracy of the image; N i represents the noise degree of the image, and α represents the noise degree weight of the image, and the value of α is 0.

7. When Q i ≥ Q, it means that the current picture quality score has reached the expected quality score, then the values of the respective parameters are recorded, and the output image is output to a display device or saved to a storage device. When Q i When Q, it indicates that the current picture quality score is lower than the expected quality score, the quality evaluation cycle system adjusts the parameters of the image, and the parameters are adjusted according to the following formula: wherein R i+1 represents the signal-to-noise ratio after 1 cycle of image loop adjustment, C i+1 represents the contrast after 1 cycle of image loop adjustment, H i+1 represents the sharpness after 1 cycle of image loop adjustment, A i+1 represents the color accuracy after 1 cycle of image loop adjustment, k represents an adjustment coefficient, and the value of k is 0.5; Repeat the loop until Q i When Q ≥ Q, output the image to a display device or save it to a storage device. The S4 comprises: S41: quality evaluation is performed on the generated images, and relevant parameters of the images are modified according to the evaluation result; S42: the modified images are re-evaluated to form a closed-loop feedback mechanism until the image quality reaches a specified value; S43: the adjusted high-quality images are output to a display device or saved to a storage device.

2. The readout circuit adjustment method of an X-ray direct imaging detector according to claim 1, characterized in that, The readout circuit comprises a double sampling circuit, a sample-and-hold circuit, an analog-to-digital converter, and an output buffer, and a signal output end of the double sampling circuit is connected to a signal input end of the sample-and-hold circuit, a signal output end of the sample-and-hold circuit is connected to a signal input end of the analog-to-digital converter, and a signal output end of the analog-to-digital converter is connected to a signal input end of the output buffer.

3. The method of claim 1, wherein the readout circuit is adjusted by: The S2 comprises: S21: the double sampling circuit performs reset signal sampling and integral signal sampling on the electrical signals collected by the readout circuit, subtracts the reset signal from the integral signal to obtain a net signal, and transmits the net signal to the sample-and-hold circuit; S22: the sample-and-hold circuit receives the net signal, connects the net signal to an internal voltage level, stabilizes the voltage, converts the stable electrical signal into a digital signal through a digital-to-analog converter, and transmits the digital signal to the output buffer for amplification processing.

4. The method of claim 1, wherein the readout circuit is adjusted by a method comprising: The S3 comprises: ​ S31: the image signal is preprocessed, the preprocessed image is deeply analyzed and processed, and key features in the image are extracted; S32: the image is enhanced according to the analysis result.

5. A readout circuit conditioning system for an X-ray direct imaging detector, characterized by, The system comprises: An imaging detector that receives X-rays, excites electron-hole pairs of semiconductor materials inside the imaging detector, and then converts X-ray photons into digital signals; A readout circuit that converts the digital signals into image signals and amplifies the digital signals; An image processing system that analyzes and processes the image signals to generate high-quality images; An adjustment system that adjusts the generated high-quality images to improve the signal-to-noise ratio and definition of the images.

6. The readout circuit conditioning system of an X-ray direct imaging detector according to claim 5, characterized in that, The readout circuit comprises: The double sampling circuit samples the reset signal and the integral signal of the electric signal collected by the readout circuit, subtracts the reset signal from the integral signal to obtain a net signal, and transmits the net signal to the sample and hold circuit; The conversion system receives the net signal by the sample and hold circuit, connects the net signal to an internal level, keeps the voltage stable, converts the stable electric signal into a digital signal by the digital-to-analog converter, and transmits the digital signal to the output buffer, which amplifies the digital signal.

7. The readout circuit conditioning system of an X-ray direct imaging detector according to claim 6, characterized in that, The image processing system comprises: The image processing system pre-processes the image signal, deeply analyzes and processes the pre-processed image, and extracts key features in the image; The image enhancement system enhances the image according to the analysis result.

8. The readout circuit conditioning system of an X-ray direct imaging detector according to claim 7, characterized in that, The adjusting system comprises: The quality evaluation system evaluates the generated image, and modifies the related parameters of the image according to the evaluation result; The quality evaluation cycle system re-evaluates the modified image to form a closed-loop feedback mechanism until the image quality reaches a specified value; The output system outputs the adjusted high-quality image to a display device or saves it to a storage device.

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