CN106551701B - Wireless flat panel detector and image correction method thereof - Google Patents
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Abstract
The invention provides a wireless flat panel detector and an image correction method thereof, wherein the wireless flat panel detector comprises: the flat panel detection module is used for directly converting the X-ray energy into an electric signal to generate an X-ray diagram; an image correction module for image correction of the X-ray image; wherein the image correction module is embedded on the flat panel detection module. When the wireless flat panel detector is in a correction-free working mode, the image correction module delivers the X-ray image to external equipment for processing through the SDK; and when the X-ray image is in a pre-correction working mode, a post-correction working mode and an intelligent synchronous working mode, the image is corrected for the X-ray image directly through gain correction, maximum gain correction, defect correction, ghost correction and microseismic correction. According to the invention, the image correction module is completely embedded into the wireless flat panel detector instead of the traditional DR treatment, so that the image quality of the image acquired by the wireless flat panel detector is greatly improved, and the technical cost of user integrated use is reduced.
Description
Technical Field
The invention relates to an X-ray detector and an image processing method thereof, in particular to a wireless flat panel detector with an embedded image correction function and an image correction method thereof.
Background
In 1995, RSNA introduced a first flat Panel detector fpd (flat Panel detector) device, which is a detector that converts X-ray energy directly into electrical signals, producing X-ray images. In recent years, with the dramatic development of flat panel detection technology, the image quality of the flat panel detector is greatly improved, and the service life of the flat panel detector is also superior to that of an image intensifier, so that the flat panel detector is more economical and practical. Meanwhile, the technology, cost and maturity of the flat panel detector have been gradually accepted by the market and widely used in the related field.
At present, a flat panel detector is widely applied to optical medical diagnosis, X-rays are projected onto the flat panel detector after penetrating through a human body, image digital signals are directly obtained through real-time image processing and then transmitted to a workstation, the workstation takes a computer as a main body, and the digital images are collected, processed, transmitted and displayed on a display by using a computer technology, so that medical staff can observe the images for medical diagnosis.
Correspondingly, however, the market demand for high-quality, high-performance flat panel detectors is increasing, so that improvements in image processing are of particular importance in the development of flat panel detectors. Therefore, how to perform excellent image quality correction becomes a research direction of the wireless flat panel detector, so as to achieve the purpose of obtaining high-quality images by the wireless flat panel detector.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a wireless flat panel detector and an image correction method thereof, which are used to solve the problem that the wireless flat panel detector itself cannot perform image correction in the prior art.
To achieve the above and other related objects, the present invention provides a wireless flat panel detector, including: the flat panel detection module is used for directly converting the X-ray energy into an electric signal to generate an X-ray diagram; an image correction module for image correction of the X-ray image; wherein the image correction module is embedded on the flat panel detection module.
Optionally, when the wireless flat panel detector is in a non-correction working mode, the image correction module delivers the X-ray image to an external device for processing through an SDK.
Optionally, when the wireless flat panel detector is in a pre-correction working mode, a post-correction working mode and an intelligent synchronous working mode, image correction is directly performed on the X-ray image through gain correction, maximum gain correction, defect correction, ghost correction and microseismic correction.
The invention also discloses an image correction method of the wireless flat panel detector, wherein the wireless flat panel detector adopts an embedded image correction module, and the image correction method comprises the following steps: image correction in a correction-free working mode, image correction in a pre-correction working mode, image correction in a post-correction working mode and image correction in an intelligent synchronous working mode; wherein, the image correction in the correction-free working mode comprises the following steps: the wireless flat panel detector directly delivers the acquired X-ray diagram to external equipment for processing through the SDK; image correction in a pre-correction working mode, image correction in a post-correction working mode, and image correction in an intelligent synchronous working mode: the wireless flat panel detector is directly corrected through the image correction module.
Optionally, the image correction in the pre-correction operation mode includes: step S11, calculating a median of the X-ray map; step S12, selecting and generating a pre-correction template according to the median value of the X-ray diagram; wherein the pre-correction template comprises an original pre-correction template and a dynamic pre-correction template; and step S13, according to the pre-correction template, sequentially performing gain correction, maximum gain correction, defect correction and ghost correction.
Optionally, the original pre-correction template is a dark field image acquired when the wireless flat panel detector is powered on; the dynamic pre-correction template is generated by the following steps: sequentially and respectively acquiring three dark field maps with the delay of 0.5 second, 2 seconds and 5 seconds; carrying out microseismic correction on the three collected dark field images to generate a first-fit K/B coefficient; and generating the dynamic pre-correction template according to the delay of the current bright field image.
Optionally, the image correction in the post-correction operating mode includes: step S21, a bright field image and a dark field image are respectively collected in sequence, and microseismic correction is carried out on the collected dark field images; step S22, the dark field image after the microseismic correction is used for post-correcting the bright field image; and step S23, performing gain correction, maximum gain correction, defect correction and ghost correction on the bright field image processed in step S22 in sequence.
Optionally, the image correction in the intelligent synchronous operating mode includes: step S31, respectively collecting a front dark field image, a bright field image and a back dark field image in sequence; step S32, taking the difference value between the back dark field image and the front dark field image as a microseismic judgment standard, and carrying out microseismic correction on the back dark field image; and step S33, taking the difference value of the bright field image and the back dark field image as an original image, and then sequentially carrying out back correction, gain correction, maximum gain correction, defect correction and ghost correction.
Optionally, before the ghost correction, a ghost correction template is dynamically generated, including: respectively collecting two dark field images with delay of 1 second; carrying out microseismic correction on the two collected dark field images; and post-correcting the two dark field images after the microseismic correction, wherein the post-correction result is the ghost correction template.
Optionally, the microseismic correction comprises: collecting a dark field image to be judged and correcting the dark field image; sequentially carrying out post correction and defect correction on the corrected dark field image, wherein the results of the post correction and the defect correction are the microseismic correction template; and (3) performing microseismic judgment on the dark field image to be judged: if so, carrying out microseismic correction on the X-ray diagram according to the microseismic correction template and then outputting the X-ray diagram; otherwise, the X-ray diagram is directly output.
As described above, according to the wireless flat panel detector and the image correction method thereof, the image correction module is completely embedded into the wireless flat panel detector instead of being processed by the traditional Digital imaging (DR), so that the direct correction processing of the wireless flat panel detector on the image acquired by the wireless flat panel detector is realized on the premise of ensuring the portability of the wireless flat panel detector, the image quality of the wireless flat panel detector for acquiring the image is greatly improved, and the technical cost of user integrated use is reduced; moreover, the wireless flat panel detector can directly correct the image without external equipment, so that the limitation of the wireless flat panel detector on the use environment is greatly reduced.
Drawings
Fig. 1 is a schematic structural diagram of a wireless flat panel detector according to an embodiment of the present invention.
Fig. 2 is a schematic flowchart illustrating an image correction process of a wireless flat panel detector in a pre-correction operation mode according to an embodiment of the present invention.
Fig. 3 is a schematic diagram illustrating a generation process of a dynamic pre-calibration template in a pre-calibration working mode of a wireless flat panel detector according to an embodiment of the present invention.
Fig. 4 is a schematic flowchart illustrating an image correction process of a wireless flat panel detector in a post-correction operation mode according to an embodiment of the present invention.
Fig. 5 is a schematic flowchart illustrating an image correction process of a wireless flat panel detector in an intelligent synchronous operating mode according to an embodiment of the present invention.
Fig. 6 is a schematic diagram illustrating a generation flow of a ghost correction template in the image correction method according to the embodiment of the present invention.
Fig. 7 is a schematic flow chart illustrating microseismic correction in an image correction method according to an embodiment of the present invention.
Description of the element reference numerals
100 wireless flat panel detector
110 flat panel detection module
120 image correction module
S11-S13
S21-S23
S31-S33
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
Please refer to the attached drawings. It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
Example 1
The embodiment discloses a wireless flat panel detector, which embeds image correction technology into the wireless flat panel detector.
As shown in fig. 1, the wireless flat panel detector 100 disclosed in the present embodiment includes:
and the flat panel detection module 110 is used for directly converting the X-ray energy into an electric signal to generate an X-ray diagram. Of course, the flat panel detection module 110 can also be used to collect dark field patterns and bright field patterns. Wherein, the dark field image is an image collected under the condition that no object to be scanned is available and the X-ray source is not turned on; the bright field pattern is an image acquired after exposure with the X-ray source turned on.
An image correction module 120, configured to perform image correction on the X-ray image; wherein the image correction module 120 is embedded on the flat panel detection module 110.
The image correction module 120 of the wireless flat panel detector 100 disclosed in this embodiment performs image correction and is divided into four working modes: a no offset (no offset) operation mode, a pre offset (pre offset) operation mode, a post offset (postoffset) operation mode, and an intelligent synchronization (Isync +) operation mode.
In the non-correction operation mode, the image correction module 120 delivers the X-ray image acquired by the flat panel detection module 110 to an external device for processing through an SDK (Software Development Kit). The external device includes, but is not limited to, a PC.
In the pre-correction mode, the post-correction mode, and the intelligent synchronous mode, the image correction module 120 performs image correction on the X-ray image through a plurality of image correction methods, that is, the plurality of image correction methods are all embedded in the wireless flat panel detector. . The image correction method includes, but is not limited to, Gain correction (Gain Offset), maximum Gain correction (Most Gain Offset), Defect correction (Defect Offset), Ghost correction (Ghost Offset), and microseismic correction (Microphony Offset). In addition, since image correction methods (gain correction, maximum gain correction, defect correction, ghost correction, and microseismic correction) are already well-established image correction techniques, detailed description thereof is omitted here.
In addition, in order to highlight the innovative part of the present invention, a module which is not so closely related to solve the technical problem proposed by the present invention is not introduced in the present embodiment, but this does not indicate that no other module exists in the present embodiment.
Example 2
The embodiment discloses an image correction method of a wireless flat panel detector, wherein the wireless flat panel detector comprises an image correction module as shown in embodiment 1, and the image correction module is embedded in the wireless flat panel detector.
The image correction method of the wireless flat panel detector of the embodiment includes, but is not limited to, image correction in a non-correction operation mode, image correction in a pre-correction operation mode, image correction in a post-correction operation mode, and image correction in an intelligent synchronous operation mode.
Under the correction-free working mode, the wireless flat panel detector directly delivers the acquired X-ray image to external equipment for correction processing through the SDK.
In the pre-correction operation mode, as shown in fig. 2, the image correction method of the wireless flat panel detector includes:
step S11, calculating the median of the acquired X-ray diagram;
step S12, selecting and generating a pre-correction module according to the median value of the X-ray image;
and step S13, according to the pre-correction template, sequentially performing gain correction, maximum gain correction, defect correction and ghost correction.
In step S12, the selected and generated corrected modules include an original pre-correction module and a dynamic pre-correction module.
The original pre-correction module is a dark field image acquired by the wireless flat panel detector when the wireless flat panel detector is started.
As shown in fig. 3, the dynamic pre-correction template is generated by the following steps:
sequentially and respectively acquiring three dark field maps with the delay of 0.5 second, 2 seconds and 5 seconds;
carrying out microseismic correction on the three collected dark field images to generate a first-fit K/B coefficient; wherein, the first fit refers to the fitting of a unary linear equation, and the K/B coefficient is the coefficient of the unary linear equation, such as Y ═ KX + B;
and generating a corresponding dynamic pre-correction template according to the delay of the current bright field image.
Of course, the generation method of the dynamic pre-correction template in this embodiment is to generate the dynamic pre-correction template by adopting first fitting in the pre-correction mode, and may also generate the dynamic pre-correction template by adopting quadratic curve fitting for temperature, which is not described herein again.
In the post-correction operation mode, as shown in fig. 4, the image correction method of the wireless flat panel detector includes:
step S21, a bright field image and a dark field image are respectively collected in sequence, and microseismic correction is carried out on the collected dark field images;
step S22, the dark field image after the microseismic correction is used for post-correcting the bright field image;
and step S23, performing gain correction, maximum gain correction, defect correction and ghost correction on the bright field image processed in step S22 in sequence.
In the intelligent synchronous working mode, as shown in fig. 5, the image correction method of the wireless flat panel detector includes:
step S31, respectively collecting a front Dark field Image (Pre-Dark Image), a Light field Image (Light Image) and a rear Dark field Image (Post-Dark Image) in sequence; wherein, the front dark field image is a dark field image acquired before the bright field image is acquired, and the back dark field image is a dark field image acquired after the bright field image is acquired.
Step S32, using the difference value (Preview Image) between the back dark field Image and the front dark field Image as the microseismic judgment standard, and carrying out microseismic correction on the back dark field Image;
in step S33, post-correction, gain correction, maximum gain correction, defect correction, and ghost correction are performed in this order using the difference between the bright field map and the back dark field map as an original Image (Full Image).
According to the image correction method under the front correction working mode, the rear correction working mode and the intelligent synchronous working mode, the gain correction, the maximum gain correction, the defect correction, the ghost correction and the microseismic correction are needed when the wireless flat panel detector performs the image correction. Gain correction, maximum gain correction, defect correction, ghost correction, and microseismic correction are well established image correction techniques and are not described herein.
In addition, the ghost correction needs to be performed under a ghost correction template; microseismic correction requires correction under a dynamically generated microseismic correction template.
As shown in fig. 6, the ghost correction template is generated as follows:
respectively collecting two dark field images with delay of 1 second;
carrying out microseismic correction on the two collected dark field images;
and post-correcting the two dark field images after the microseismic correction, wherein the post-corrected result is the ghost correction template.
As shown in fig. 7, the microseismic correction is performed according to the following steps:
collecting a dark field image to be judged and correcting the dark field image; wherein the dark field image to be judged is a dark field image of an X-ray image which needs microseismic correction; the corrected dark field map is a dark field map that is dedicated to generating the microseismic correction template.
Sequentially carrying out post correction and defect correction on the corrected dark field image, wherein the results of the post correction and the defect correction are microseismic correction templates;
and (3) performing microseismic judgment on the dark field image to be judged:
if so, carrying out microseismic correction on the X-ray diagram according to the microseismic correction template and then outputting the X-ray diagram;
otherwise, the X-ray image is not subjected to microseismic correction, and the X-ray image is directly output.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the steps contain the same logical relationship, which is within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
Further, it is obvious that the present embodiment is a method embodiment corresponding to the first embodiment, and the present embodiment can be implemented in cooperation with the first embodiment. The related technical details mentioned in the first embodiment are still valid in this embodiment, and are not described herein again in order to reduce repetition. Accordingly, the related-art details mentioned in the present embodiment can also be applied to the first embodiment.
In summary, according to the wireless flat panel detector and the image correction method thereof, the image correction module is completely embedded into the wireless flat panel detector instead of the traditional Digital imaging (DR), so that on the premise of ensuring the portability of the wireless flat panel detector, the wireless flat panel detector directly corrects the image acquired by the wireless flat panel detector, the image quality of the image acquired by the wireless flat panel detector is greatly improved, and the technical cost of user integrated use is reduced; moreover, the wireless flat panel detector can directly correct the image without external equipment, so that the limitation of the wireless flat panel detector on the use environment is greatly reduced. Therefore, the invention effectively overcomes various defects in the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (2)
1. A wireless flat panel detector, characterized in that it comprises:
the flat panel detection module is used for directly converting the X-ray energy into an electric signal to generate an X-ray diagram;
an image correction module for image correction of the X-ray image;
wherein the image correction module is embedded on the flat panel detection module;
when the wireless flat panel detector is in a correction-free working mode, the image correction module delivers the X-ray image to external equipment for processing through a Software Development Kit (SDK);
when the wireless flat panel detector is in a front correction working mode, a rear correction working mode and an intelligent synchronous working mode, image correction is directly carried out on the X-ray image through gain correction, maximum gain correction, defect correction, ghost correction and microseismic correction;
the post-correction working mode is that step S21 collects a bright field image and a dark field image respectively in turn, and performs microseismic correction on the collected dark field images; step S22, the dark field image after the microseismic correction is used for post-correcting the bright field image; step S23, gain correction, maximum gain correction, defect correction and ghost correction are sequentially carried out on the bright field image processed in the step S22;
the intelligent synchronous working mode is as follows: step S31, respectively collecting a front dark field image, a bright field image and a back dark field image in sequence; wherein, the front dark field image is a dark field image acquired before the bright field image is acquired, and the back dark field image is a dark field image acquired after the bright field image is acquired; step S32, using the difference value of the back dark field image and the front dark field image as a microseismic judgment standard, and carrying out microseismic correction on the back dark field image; step S33, taking the difference value of the bright field image and the back dark field image as an original image, and sequentially performing back correction, gain correction, maximum gain correction, defect correction and ghost correction;
microseismic correction refers to: collecting a dark field image to be judged and correcting the dark field image; wherein the dark field image to be judged is a dark field image of an X-ray image which needs microseismic correction; the correction dark field image is a dark field image specially used for generating the microseismic correction template; sequentially carrying out post correction and defect correction on the corrected dark field image, wherein the results of the post correction and the defect correction are microseismic correction templates; and (3) performing microseismic judgment on the dark field image to be judged: if so, carrying out microseismic correction on the X-ray diagram according to the microseismic correction template and then outputting the X-ray diagram; otherwise, the X-ray image is not subjected to microseismic correction, and the X-ray image is directly output;
the image correction in the pre-correction operating mode comprises: calculating a median of the X-ray map; selecting and generating a pre-correction template according to the median value of the X-ray diagram; according to the pre-correction template, gain correction, maximum gain correction, defect correction and ghost correction are carried out in sequence; wherein the pre-correction template comprises an original pre-correction template and a dynamic pre-correction template;
the original pre-correction template refers to: a dark field image collected when the wireless flat panel detector is started; the dynamic pre-correction template is as follows: the method is selected and generated according to the following steps: sequentially and respectively acquiring three dark field maps with the delay of 0.5 second, 2 seconds and 5 seconds; carrying out microseismic correction on the three collected dark field images to generate a first-fit K/B coefficient; generating the dynamic pre-correction template according to the delay of the current bright field image; the K/B coefficient is a coefficient of a unary equation (Y ═ KX + B);
the ghost correction needs to be carried out under a ghost correction template; the ghost correction template is generated according to the following steps: respectively collecting two dark field images with delay of 1 second; carrying out microseismic correction on the two collected dark field images; and post-correcting the two dark field images after the microseismic correction, wherein the post-corrected result is the ghost correction template.
2. An image correction method of a wireless flat panel detector adopts an embedded image correction module, and is characterized in that: the image correction method includes: image correction in a correction-free working mode, image correction in a pre-correction working mode, image correction in a post-correction working mode and image correction in an intelligent synchronous working mode; wherein the content of the first and second substances,
image correction in the no-correction mode of operation: the wireless flat panel detector directly delivers the acquired X-ray diagram to external equipment for processing through a software development kit;
image correction in a pre-correction working mode, image correction in a post-correction working mode, and image correction in an intelligent synchronous working mode: the wireless flat panel detector directly corrects through the image correction module;
the image correction in the pre-correction operating mode comprises:
step S11, calculating a median of the X-ray map;
step S12, selecting and generating a pre-correction template according to the median value of the X-ray diagram; wherein the pre-correction template comprises an original pre-correction template and a dynamic pre-correction template;
step S13, according to the pre-correction template, gain correction, maximum gain correction, defect correction and ghost correction are carried out in sequence;
the post-correction working mode is that step S21 collects a bright field image and a dark field image respectively in turn, and performs microseismic correction on the collected dark field images; step S22, the dark field image after the microseismic correction is used for post-correcting the bright field image; step S23, gain correction, maximum gain correction, defect correction and ghost correction are sequentially carried out on the bright field image processed in the step S22;
the intelligent synchronous working mode is as follows: step S31, respectively collecting a front dark field image, a bright field image and a back dark field image in sequence; wherein, the front dark field image is a dark field image acquired before the bright field image is acquired, and the back dark field image is a dark field image acquired after the bright field image is acquired; step S32, using the difference value of the back dark field image and the front dark field image as a microseismic judgment standard, and carrying out microseismic correction on the back dark field image; step S33, taking the difference value of the bright field image and the back dark field image as an original image, and sequentially performing back correction, gain correction, maximum gain correction, defect correction and ghost correction;
microseismic correction refers to: collecting a dark field image to be judged and correcting the dark field image; wherein the dark field image to be judged is a dark field image of an X-ray image which needs microseismic correction; the correction dark field image is a dark field image specially used for generating the microseismic correction template; sequentially carrying out post correction and defect correction on the corrected dark field image, wherein the results of the post correction and the defect correction are microseismic correction templates; and (3) performing microseismic judgment on the dark field image to be judged: if so, carrying out microseismic correction on the X-ray diagram according to the microseismic correction template and then outputting the X-ray diagram; otherwise, the X-ray image is not subjected to microseismic correction, and the X-ray image is directly output;
the image correction in the pre-correction operating mode comprises: calculating a median of the X-ray map; selecting and generating a pre-correction template according to the median value of the X-ray diagram; according to the pre-correction template, gain correction, maximum gain correction, defect correction and ghost correction are carried out in sequence; wherein the pre-correction template comprises an original pre-correction template and a dynamic pre-correction template;
the original pre-correction template refers to: a dark field image collected when the wireless flat panel detector is started; the dynamic pre-correction template is as follows: the method is selected and generated according to the following steps: sequentially and respectively acquiring three dark field maps with the delay of 0.5 second, 2 seconds and 5 seconds; carrying out microseismic correction on the three collected dark field images to generate a first-fit K/B coefficient; generating the dynamic pre-correction template according to the delay of the current bright field image; the K/B coefficient is a coefficient of a unary equation (Y ═ KX + B);
the ghost correction needs to be carried out under a ghost correction template; the ghost correction template is generated according to the following steps: respectively collecting two dark field images with delay of 1 second; carrying out microseismic correction on the two collected dark field images; and post-correcting the two dark field images after the microseismic correction, wherein the post-corrected result is the ghost correction template.
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| CN110426402A (en) * | 2019-08-09 | 2019-11-08 | 北京万东医疗科技股份有限公司 | A kind of data processing equipment, flat panel detector, system and data processing method |
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