Image processing method, apparatus, device, medium and product

Abstract

The application discloses an image processing method, device, equipment, medium and product. The image processing method comprises the following steps: acquiring an original image collected by a flat panel detector and a dose area product value used when the original image is collected; correcting and processing a correction image by using a shift correction table, a gain correction coefficient table and a bad detector correction table to obtain a corrected image; performing conversion processing on the dose area product value to generate a maximum value of flat panel detector incident intensity count; and performing restoration and global enhancement processing on the corrected image based on the maximum value of flat panel detector incident intensity count to obtain a target image. According to the embodiment of the application, the flat panel detector image correction process can be simplified and the image quality can be improved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of image processing, and particularly relates to an image processing method, device, equipment, medium and product. BACKGROUND

[0002] With the continuous development of technology, digital X-ray photography systems using flat panel detectors are widely used in many fields. The flat panel detector can directly convert X-ray energy into an electrical signal to generate an X-ray image. Due to the material of the detector itself and other problems, gain correction of the detector is needed to eliminate the influence of inconsistent detectors, dose angle distribution, and non-uniform beam intensity.

[0003] The existing flat panel detector gain correction method of the digital X-ray photography system corrects the dose angle distribution and the detector inconsistency respectively, and the correction process is complex and requires high technical level of the operator. Moreover, the incident intensity count cannot be determined during the imaging and collection process, and the quality of the image is low. SUMMARY

[0004] The embodiments of the present application provide an image processing method, device, equipment, medium and product, which can simplify the flat panel detector image correction process and improve the image quality.

[0005] In a first aspect, the embodiments of the present application provide an image processing method, which comprises:

[0006] obtaining an original image collected by a flat panel detector and a dose area product value used when the original image is collected;

[0007] correcting and processing the corrected image by using an offset correction table, a gain correction coefficient table and a bad detector correction table to obtain a processed image; the offset correction table is determined according to a first image, and the first image is collected by the flat panel detector under the condition of no beam; the gain correction coefficient table and the bad detector correction table are determined by offset correction on a second image, and the second image is collected by the flat panel detector under the condition of no shielding object;

[0008] converting and processing the dose area product value to generate a maximum value of the incident intensity count of the flat panel detector;

[0009] based on the maximum value of the incident intensity count of the flat panel detector, performing restoration and global enhancement processing on the processed image to obtain a target image.

[0010] In a second aspect, the embodiments of the present application provide an image processing device, which comprises:

[0011] an acquisition module configured to acquire an original image collected by a flat panel detector and a dose area product value used when the original image is collected;

[0012] The first processing module is configured to perform correction processing on the correction image by using an offset correction table, a gain correction coefficient table and a bad detector correction table to obtain a corrected image; the offset correction table is determined according to a first image, which is acquired by the flat panel detector under the condition of no beam; the gain correction coefficient table and the bad detector correction table are determined by performing offset correction on a second image, which is acquired by the flat panel detector under the condition of no occlusion;

[0013] The generating module is configured to perform conversion processing on the dose area product value to generate a maximum value of flat panel detector incident intensity count;

[0014] The second processing module is configured to perform restoration and global enhancement processing on the corrected image based on the maximum value of flat panel detector incident intensity count to obtain a target image.

[0015] In a third aspect, an electronic device is provided, which includes a processor and a memory storing computer program instructions;

[0016] The processor, when executing the computer program instructions, implements the steps of the image processing method according to any one of the embodiments of the first aspect.

[0017] In a fourth aspect, a computer readable storage medium is provided, which stores computer program instructions, and the computer program instructions, when executed by a processor, implement the steps of the image processing method according to any one of the embodiments of the first aspect.

[0018] In a fifth aspect, a computer program product is provided, and the instructions in the computer program product are executed by a processor of an electronic device to cause the electronic device to perform the steps of the image processing method according to any one of the embodiments of the first aspect.

[0019] The image processing method, device, equipment, medium and product provided in the embodiments of the present application simplify the operation process when correcting the original image by using the offset correction table, the gain correction coefficient table and the bad detector correction table to perform offset correction, gain correction and bad detector correction on the original image, and by using the dose angle distribution and detector inconsistency fusion method to determine the gain correction coefficient table and the bad detector correction table. Furthermore, the image is restored and enhanced by converting the dose area product value into the maximum value of the flat panel detector incident intensity count, thereby improving the quality of the image. BRIEF DESCRIPTION OF DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments of the present application will be briefly introduced. Those drawings can help the ordinary skilled in the art to obtain other drawings without any creative effort.

[0021] Figure 1 is a flow diagram of an image processing method provided by an embodiment of the present application;

[0022] Figure 2 is a flow diagram of another image processing method provided by an embodiment of the present application;

[0023] Figure 3 is a flow diagram of still another image processing method provided by an embodiment of the present application

[0024] Figure 4 is a structural diagram of an image processing device provided by an embodiment of the present application;

[0025] Figure 5 is a structural diagram of an electronic device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0026] The features and exemplary embodiments of various aspects of the present application will be described in detail below, in order to make the purposes, technical solutions and advantages of the present application more clear and apparent, the present application will be further described in detail below with reference to the drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, but not to limit the present application. The present application can be implemented without some of these specific details by those skilled in the art. The following description of the embodiments is only to provide a better understanding of the present application by showing examples of the present application.

[0027] It should be noted that, in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitation, the elements defined by the statement "include" do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0028] Based on the background section, the existing image processing method is to correct the dose angle distribution and the detector inconsistency respectively, and the correction process is complex and requires high technical level of the operator. And the incident intensity count cannot be determined in the imaging acquisition process, and the image quality is low.

[0029] To solve the above problems, the embodiment of the application provides an image processing method, which corrects the original image by using the offset correction table, the gain correction coefficient table and the bad detector correction table, and determines the gain correction coefficient table and the bad detector correction table by using the dose angle distribution and detector inconsistency fusion method, which simplifies the operation process when correcting the original image. And by converting the dose area product value into the maximum value of the flat panel detector incident intensity count, the image is restored and enhanced, and the image quality is improved.

[0030] The image processing method provided by the embodiment of the application will be described in detail in combination with the specific embodiments and application scenarios and the accompanying drawings.

[0031] Figure 1 is a flowchart of an image processing method provided by the embodiment of the application. As shown in Figure 1 , the image processing method can specifically include the following steps:

[0032] S110, acquiring the original image collected by the flat panel detector and the dose area product value used when collecting the original image;

[0033] S120, correcting the corrected image by using the offset correction table, the gain correction coefficient table and the bad detector correction table to obtain the corrected image; the offset correction table is determined according to the first image, and the first image is collected by the flat panel detector under the condition of no beam; the gain correction coefficient table and the bad detector correction table are determined by correcting the second image, and the second image is collected by the flat panel detector under the condition of no shielding object;

[0034] S130, converting the dose area product value to generate the maximum value of the flat panel detector incident intensity count;

[0035] S140, based on the maximum value of the flat panel detector incident intensity count, the corrected image is restored and globally enhanced to obtain the target image.

[0036] Thus, by using the offset correction table, the gain correction coefficient table and the bad detector correction table to correct the original image, and by determining the gain correction coefficient table and the bad detector correction table through the dose angle distribution and detector inconsistency fusion method, the operation process in the correction process of the original image is simplified. And by converting the dose area product value into the maximum value of the flat panel detector incident intensity count, the image is restored and enhanced, and the quality of the image is improved.

[0037] The specific implementation of each step is described below.

[0038] In some embodiments, in S110, the original image is collected by the flat panel detector, and the dose area product value when the original image is collected is obtained. The original image collected by the flat panel detector may, for example, be an image collected by the flat panel detector in normal use.

[0039] As an example, when the required X-ray image is collected using a digital X-ray photography system, the X-ray image is generated by converting the ray energy into an electrical signal by the flat panel detector, the original image is collected by the flat panel detector, and the dose area product value when the original image is collected is obtained by using a DAP dose area meter.

[0040] In some embodiments, in S120, the collected original image is respectively corrected by offset correction, gain correction and bad detector correction using the offset correction table, the gain correction coefficient table and the bad detector correction table, to obtain the corrected image. The offset correction table is determined by collecting the offset correction image by the flat panel detector under the condition of no beam, and the gain correction coefficient table and the bad detector correction table are determined by offset correcting the gain correction image collected by the flat panel detector under the condition of no occlusion.

[0041] As an example, when the required X-ray image is collected using a digital X-ray photography system using a flat panel detector, the offset correction image is first collected under the condition of no beam, and the offset correction table is determined according to the offset correction image. The gain correction image is then collected by the flat panel detector under the condition of no occlusion, and the offset correction table is used to offset correct the gain correction image to determine the gain correction coefficient table and the bad detector correction table. The required original image is then collected by the flat panel detector, and the original image is respectively offset corrected, gain corrected and bad detector corrected according to the determined offset correction table, gain correction coefficient table and bad detector correction table to obtain the corrected image.

[0042] In some embodiments, in S130, when the original image is acquired using the flat panel detector, the dose-area product output by the DAP is obtained, and the dose-area product is converted into the maximum value of the flat panel detector incident intensity count to determine the maximum value of the flat panel detector incident intensity count.

[0043] In some embodiments, in S140, the image after the offset correction, the gain correction and the bad detector correction is restored and globally enhanced according to the flat panel detector incident intensity count converted from the dose-area product value.

[0044] In some embodiments, S140 can specifically include setting the global gray scale window level of the image after the correction processing, stretching the global gray scale window width, and obtaining a target image based on the maximum value of the flat panel detector incident intensity count.

[0045] As an example, according to the determined maximum value of the flat panel detector incident intensity count and the maximum value of the pixel, a coefficient is obtained, and all the flat panel detector incident intensity counts are multiplied by the coefficient to stretch the global gray scale window width and increase the dynamic range, so as to restore and globally enhance the image. The coefficient multiplied by the flat panel detector incident intensity count can be, for example, 5, which is obtained by reducing the ratio of the maximum value of the pixel to the maximum value of the flat panel detector incident intensity count by 1 to prevent overflow.

[0046] Thus, the image is restored and enhanced by converting the dose-area product value into the maximum value of the flat panel detector incident intensity count, thereby improving the quality of the image.

[0047] In order to facilitate the offset correction, the present application further provides another embodiment of the image processing method. As shown in Figure 2 Before S120, the method can further include:

[0048] S210, acquiring a first image by the flat panel detector under the condition of no beam output;

[0049] S220, determining an offset correction table according to the first image.

[0050] In some embodiments, the offset correction image is acquired by the flat panel detector under the condition of no beam output, and the offset correction table is determined according to the generated offset correction image.

[0051] In order to facilitate the gain correction and the bad detector correction, the present application further provides still another embodiment of the image processing method. As shown in Figure 3As shown, before S120, the method can further include:

[0052] S310, under the condition of no occlusion, a second image is acquired by the flat panel detector;

[0053] S320, offset correction is performed on the second image according to the offset correction table to determine the gain correction coefficient table and the bad detector correction table.

[0054] In some embodiments, the gain correction image is acquired by the flat panel detector under the condition of no occlusion, and the gain correction coefficient table and the bad detector correction table are determined by fusing the effects of the dose angular distribution and the detector inconsistency together under the condition that the source distance and the ball tube are unchanged, and performing offset correction on the acquired gain correction image according to the offset correction table.

[0055] As an example, when the image is acquired by the flat panel detector, the offset correction image is acquired under the condition of no beam, and the offset correction table is determined according to the offset correction image. Then, the gain correction image is acquired by the flat panel detector under the condition of no occlusion, and the gain correction coefficient table and the bad detector correction table are determined by fusing the effects of the dose angular distribution and the detector inconsistency together under the condition that the source distance and the ball tube are unchanged, and performing offset correction on the gain correction image using the offset correction table.

[0056] Thus, by using the offset correction table, the gain correction coefficient table and the bad detector correction table to perform offset correction, gain correction and bad detector correction on the original image, and by using the dose angular distribution and detector inconsistency fusion method to determine the gain correction coefficient table and the bad detector correction table, the operation process when correcting the original image is simplified.

[0057] The above embodiments are only examples, and each embodiment can be combined with each other or replaced by each other to finally form an embodiment of an image processing method.

[0058] It should be noted that the application scenarios described in the above embodiments of the application are used to more clearly illustrate the technical solutions of the embodiments of the application, and do not constitute a limitation on the technical solutions provided by the embodiments of the application. It is known to those skilled in the art that, as new application scenarios appear, the technical solutions provided by the embodiments of the application are also applicable to similar technical problems.

[0059] Based on the same inventive concept, the application further provides an image processing device. The specific combination of Figure 4 will be described in detail.

[0060] Figure 4Fig. 1 is a structural schematic diagram of an image processing device provided by an embodiment of the present application.

[0061] As shown in Fig. 1, the image processing device 400 can include: Figure 4

[0062] An acquisition module 401 is configured to acquire an original image collected by a flat panel detector and a dose area product value used when the original image is collected.

[0063] A first processing module 402 is configured to perform correction processing on the corrected image by using an offset correction table, a gain correction coefficient table and a bad detector correction table, to obtain a corrected image; the offset correction table is determined according to a first image, which is collected by the flat panel detector under a condition of no beam emission; the gain correction coefficient table and the bad detector correction table are determined by performing offset correction on a second image, which is collected by the flat panel detector under a condition of no occlusion.

[0064] A generation module 403 is configured to perform conversion processing on the dose area product value, to generate a flat panel detector incident intensity count maximum value.

[0065] A second processing module 404 is configured to perform restoration and global enhancement processing on the corrected image based on the flat panel detector incident intensity count maximum value, to obtain a target image.

[0066] The image processing device 400 is described in detail as follows.

[0067] In some embodiments, to facilitate offset correction, before the corrected image is corrected by using the offset correction table, the gain correction coefficient table and the bad detector correction table, to obtain a corrected image, the image processing device 400 can further include:

[0068] A first acquisition module is configured to collect a first image by the flat panel detector under a condition of no beam emission.

[0069] A determination module is configured to determine the offset correction table according to the first image.

[0070] In some embodiments, to facilitate gain correction and bad detector correction, before the corrected image is corrected by using the offset correction table, the gain correction coefficient table and the bad detector correction table, to obtain a corrected image, the image processing device 400 can further include:

[0071] A second acquisition module is configured to collect a second image by the flat panel detector under a condition of no occlusion.

[0072] ​The second determining module is configured to determine the gain correction coefficient table and the bad detector correction table by performing offset correction on the second image according to the offset correction table to fuse the dose-angle distribution and the detector gain inconsistency.

[0073] In some embodiments, the second processing module 404 can be specifically configured to set a global gray scale window level of the corrected image based on the maximum value of the flat panel detector incident intensity count, stretch a global gray scale window width, and obtain a target image.

[0074] Therefore, by using the offset correction table, the gain correction coefficient table and the bad detector correction table to perform offset correction, gain correction and bad detector correction on the original image, and by using the dose-angle distribution and detector inconsistency fusion method to determine the gain correction coefficient table and the bad detector correction table, the operation process when correcting the original image is simplified. And by converting the dose-area product value into the maximum value of the flat panel detector incident intensity count, the image is restored and enhanced, and the quality of the image is improved.

[0075] Figure 5 is a structural schematic diagram of an electronic device provided by an embodiment of the present application.

[0076] The electronic device 500 can include a processor 501 and a memory 502 storing computer program instructions.

[0077] Specifically, the processor 501 can include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or can be configured as one or more integrated circuits that implement one or more embodiments of the present application.

[0078] The memory 502 can include a mass storage for data or instructions. By way of example and not limitation, the memory 502 can include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. Where appropriate, the memory 502 can include removable or non-removable (or fixed) media. Where appropriate, the memory 502 can be internal or external to the integrated gateway disaster recovery device. In some embodiments, the memory 502 is a non-volatile solid-state memory.

[0079] In particular embodiments, the memory can include read-only memory (ROM), random-access memory (RAM), magnetic disk storage mediums devices, optical storage mediums devices, flash memory devices, electrical, optical, or other physical / tangible memory storage devices. Accordingly, generally, the memory includes one or more tangible (non-transitory) computer-readable storage mediums (e.g., a memory device) encoded with software that, when executed (e.g., by one or more processors), is operable to perform the operations described with reference to the methods according to an aspect of the present application.

[0080] The processor 501 implements any one of the image processing methods in the above embodiments by reading and executing the computer program instructions stored in the memory 502.

[0081] In some examples, the electronic device 500 can further include a communication interface 503 and a bus 510. Wherein, as shown, the processor 501, the memory 502, the communication interface 503 are connected through the bus 510 and complete the communication between each other. Figure 5

[0082] The communication interface 503 is mainly used to realize the communication between the modules, devices, units and / or equipment in the embodiments of the present application.

[0083] The bus 510 includes hardware, software or both to couple the components of the online data traffic billing device to each other. By way of example, and not limitation, the bus 510 can include an accelerated graphics port (AGP) or other graphics bus, an enhanced industry standard architecture (EISA) bus, a front-side bus (FSB), a HyperTransport (HT) interconnect, an industry standard architecture (ISA) bus, an infiniband interconnect, a low pin count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a peripheral component interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a serial advanced technology attachment (SATA) bus, a video electronics standards board (VLB) bus, or another suitable bus or a combination of two or more of these. Where suitable, the bus 510 can include one or more buses. Although specific buses are described and shown in the embodiments of the present application, the present application contemplates any suitable bus or interconnect.

[0084] For example, the electronic device 500 can be a mobile phone, a tablet computer, a notebook computer, a palm computer, a vehicle-mounted electronic device, an ultra-mobile personal computer (UMPC), a netbook, or a personal digital assistant (PDA), etc.

[0085] ​The electronic device 500 can perform the image processing method in the embodiments of the present application, thereby realizing the image processing method and device described in combination with Figure 1 and Figure 4 the above embodiments.

[0086] In addition, in combination with the image processing method in the above embodiments, the embodiments of the present application can provide a computer readable storage medium for implementation. The computer readable storage medium has computer program instructions stored thereon; the computer program instructions are executed by a processor to implement any one of the image processing methods in the above embodiments. Examples of the computer readable storage medium include non-transitory computer readable storage media, such as portable disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, etc.

[0087] It should be noted that the present application is not limited to the specific configurations and processes described above and shown in the drawings. For the sake of brevity, detailed descriptions of well-known methods are omitted herein. In the above embodiments, several specific steps are described and shown as examples. However, the method processes of the present application are not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order of the steps, after understanding the spirit of the present application.

[0088] The functional blocks shown in the structural block diagrams described above can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a functional card, etc. When implemented in software, the elements of the present application are program or code segments used to perform the required tasks. The program or code segments can be stored in a machine readable medium or transmitted through a data signal carried in a carrier wave over a transmission medium or communication link. The "machine readable medium" can include any medium capable of storing or transmitting information. Examples of the machine readable medium include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segments can be downloaded via a computer network such as the Internet, an intranet, etc.

[0089] It should also be noted that the exemplary embodiments mentioned in the present application describe some methods or systems based on a series of steps or devices. However, the present application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiments, or in an order different from the embodiments, or several steps can be performed simultaneously.

[0090] The computer program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other processing device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other processing device to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions / acts specified in the flowchart and / or block diagram block or blocks.

[0091] The above only is a specific implementation of the present application, and those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, module and unit can refer to the corresponding process in the foregoing method embodiments, which will not be described herein. It should be understood that the protection scope of the present application is not limited to this, and any person skilled in the art can easily think of various equivalent modifications or replacements within the technical range disclosed in the present application, and these modifications or replacements shall be covered within the protection scope of the present application.

Claims

1. An image processing method, characterized by, The method comprises the following steps: acquiring an original image collected by a flat panel detector and a dose area product value used when the original image is collected; correcting the original image by using an offset correction table, a gain correction coefficient table and a bad detector correction table to obtain a corrected image; the offset correction table is determined according to a first image, and the first image is collected by the flat panel detector under the condition of no beam output; the gain correction coefficient table and the bad detector correction table are determined by performing offset correction on a second image according to the offset correction table to fuse the dose angle distribution and the detector gain inconsistency, and the second image is collected by the flat panel detector under the condition of no shielding object; performing conversion processing on the dose area product value to generate a maximum value of flat panel detector incident intensity count; based on the maximum value of flat panel detector incident intensity count, setting a global gray scale window level of the corrected image and stretching a global gray scale window width to obtain a target image.

2. The method of claim 1, wherein, Before the step of correcting the original image by using the offset correction table, the gain correction coefficient table and the bad detector correction table to obtain the corrected image, the method further comprises the following steps: collecting a first image by the flat panel detector under the condition of no beam output; determining the offset correction table according to the first image.

3. The method of claim 1, wherein, Before the step of correcting the original image by using the offset correction table, the gain correction coefficient table and the bad detector correction table to obtain the corrected image, the method further comprises the following steps: collecting a second image by the flat panel detector under the condition of no shielding object; performing offset correction on the second image according to the offset correction table to fuse the dose angle distribution and the detector gain inconsistency, so as to determine the gain correction coefficient table and the bad detector correction table.

4. An image processing apparatus characterized by comprising: The device comprises: an acquisition module, configured to acquire an original image collected by a flat panel detector and a dose area product value used when the original image is collected; a first processing module, configured to correct the original image by using an offset correction table, a gain correction coefficient table and a bad detector correction table to obtain a corrected image; the offset correction table is determined according to a first image, and the first image is collected by the flat panel detector under the condition of no beam output; the gain correction coefficient table and the bad detector correction table are determined by performing offset correction on a second image according to the offset correction table to fuse the dose angle distribution and the detector gain inconsistency, and the second image is collected by the flat panel detector under the condition of no shielding object; a generation module, configured to perform conversion processing on the dose area product value to generate a maximum value of flat panel detector incident intensity count; a second processing module, configured to set a global gray scale window level of the corrected image and stretch a global gray scale window width based on the maximum value of flat panel detector incident intensity count to obtain a target image.

5. An image processing apparatus characterized by comprising: The device comprises a processor and a memory storing computer program instructions; the processor executes the computer program instructions to realize the steps of the image processing method according to any one of claims 1-3.

6. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer program instructions, and the computer program instructions are executed by a processor to implement the steps of the image processing method in any one of claims 1-3.

7. A computer program product, characterised in that, The instructions in the computer program product are executed by a processor of an electronic device, so that the electronic device performs the steps of the image processing method in any one of claims 1-3.

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