WO2023125228A1 - Procédé et appareil de traitement d'artéfact d'anneau d'images de tomodensitométrie, système, et support de stockage - Google Patents

Procédé et appareil de traitement d'artéfact d'anneau d'images de tomodensitométrie, système, et support de stockage Download PDF

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WO2023125228A1
WO2023125228A1 PCT/CN2022/141019 CN2022141019W WO2023125228A1 WO 2023125228 A1 WO2023125228 A1 WO 2023125228A1 CN 2022141019 W CN2022141019 W CN 2022141019W WO 2023125228 A1 WO2023125228 A1 WO 2023125228A1
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image
ring
artifact
ring artifact
processing
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PCT/CN2022/141019
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English (en)
Chinese (zh)
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王宏斌
潘树新
马德龙
王彦君
刘文强
崔键
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中国石油天然气股份有限公司
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Publication of WO2023125228A1 publication Critical patent/WO2023125228A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/008—Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • G06T11/003—Reconstruction from projections, e.g. tomography
    • G06T11/006—Inverse problem, transformation from projection-space into object-space, e.g. transform methods, back-projection, algebraic methods

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  • the present invention relates to the technical field of image processing, in particular to a method for processing ring artifacts in CT images, a processing device for ring artifacts in CT images, a processing system for ring artifacts in CT images, and a machine readable storage media.
  • CT Computerized Tomography
  • ring artifacts often appear in the CT image, which closely overlap with the image of the tested sample, and appear on the image as A series of concentric circles with different radii centered on the center of the image.
  • the existence of ring artifacts greatly reduces the quality of the image, which brings great troubles to further processing and analysis of image measurement, recognition, noise processing, and image segmentation.
  • Industrial CT scan images containing ring artifacts directly It affects the correct diagnosis of lithology analysis.
  • the purpose of the embodiments of the present invention is to provide a method, device, system and storage medium for processing ring artifacts in CT images, so as to solve the above problems.
  • a method for processing ring artifacts in CT images including:
  • the first filtering process is a non-local mean filtering process; the first filtering process is performed on the original CT image, and the ring artifact image in the original CT image is extracted, including:
  • the first conversion process is polar coordinate transformation; performing the first conversion process on the ring artifact image to obtain a first ring artifact converted image, including:
  • each pixel of the ring artifact image is arranged in the polar coordinate system, so as to convert the ring artifact image into a streak artifact image, and the obtained streak artifact Image as the first ringing artifact transformed image.
  • performing a second filtering process on the first ring artifact converted image to obtain a second ring artifact converted image including:
  • the size of the convolution kernel matrix of the one-dimensional filter is n ⁇ m;
  • constructing a one-dimensional filter in the direction of the transverse axis of the polar coordinate system includes:
  • the second conversion process is Cartesian coordinate transformation; performing the second conversion process on the second ring artifact converted image to obtain a third ring artifact converted image, including:
  • each pixel of the second ring artifact converted image is arranged in the Cartesian coordinate system, so as to convert the blurred streak image into a blurred ring artifact image, to obtain
  • the blurred ring artifact image is used as the third ring artifact transformed image.
  • the original CT image is obtained by scanning a full-diameter core.
  • a device for processing ring artifacts in CT images including:
  • a data acquisition module configured to acquire an original CT image with ring artifacts
  • An image processing module configured to perform a first filtering process on the original CT image, and extract a ring artifact image in the original CT image
  • the first image conversion module is configured to perform a first conversion process on the ring artifact image, obtain a first ring artifact converted image, and perform a second filter process on the first ring artifact converted image , to obtain the second ring artifact transformed image;
  • the second image conversion module is configured to perform a second conversion process on the second ring artifact converted image to obtain a third ring artifact converted image, and the second conversion process is the first conversion process reverse process;
  • the artifact removal module is configured to perform image subtraction processing on the original CT image and the third ring artifact converted image to obtain a target CT image that does not include ring artifacts.
  • a system for processing ring artifacts in CT images including:
  • a CT scanning device for performing a CT scan on the target to acquire a raw CT image
  • the target is a full diameter core.
  • an electronic device comprising:
  • the processor is configured to read the computer-readable instructions stored in the memory, so as to execute the above method for processing ring artifacts in CT images.
  • a machine-readable storage medium is provided, and instructions are stored on the machine-readable storage medium, and when the instructions are executed by a processor, the processor is configured to execute the above-mentioned CT image loop How to deal with artifacts.
  • the above technical solution of the present invention transforms the annular artifacts in the rectangular coordinate system into the strip artifacts in the polar coordinate system through the method of coordinate transformation, and then processes the Gaussian low-pass filter to smooth and blur the image, and then uses the coordinate transformation
  • the stripe artifact is converted into a fuzzy ring artifact image, and finally the original ring artifact image is used to subtract the processed fuzzy ring artifact image to obtain a ring artifact-removed image.
  • the present invention effectively improves the ring artifact
  • the accuracy of the shadow processing, the correction of the original CT scan image is more thorough, and a higher-quality artifact-free image can be obtained.
  • the edge of the corrected artifact-free image is completely preserved and has a higher signal-to-noise ratio.
  • Fig. 1 is a schematic diagram of an application environment provided by a preferred embodiment of the present invention.
  • Fig. 2 is the method flowchart of the processing method of CT image ring artifact provided by the preferred embodiment of the present invention
  • FIG. 3 is a schematic block diagram of a processing device for ring artifacts in CT images provided by a preferred embodiment of the present invention
  • FIG. 4 is a schematic block diagram of a processing system for ring artifacts in CT images provided by a preferred embodiment of the present invention
  • Fig. 5 is a schematic diagram of an electronic device provided by a preferred embodiment of the present invention.
  • FIG. 1 is a schematic diagram of an application environment of this embodiment, and the application environment includes a CT scanning device 110 , a network 120 and a computer device 130 .
  • the network 120 may be a communication medium of various connection types capable of providing a communication link between the terminal device 110 and the server 130, such as a wired communication link or a wireless communication link.
  • the computer device 130 may be a device with computing capabilities such as a server and a server cluster, which is not specifically limited here.
  • the CT scanning device 110 is used for performing a CT scan on a target object to obtain a CT scan image. For example, when performing lithology analysis, CT scanning is performed on the rock core sample to obtain a CT scan image of the rock core sample, and then the CT scan image is analyzed to achieve the analysis of the rock core sample.
  • the CT scanning device 110 scans the target object with a certain thickness through X-rays, and the X-rays passing through the target object are received by detectors. Since the target object is composed of a variety of material components, and the density of different material components is different, the absorption coefficient of each point in the target object is different for X-rays.
  • the X-rays received by the detector can be calculated for each
  • the attenuation coefficient (or absorption coefficient) of X-rays in each pixel corresponds to the CT scan image of the target object.
  • ring artifacts will appear in CT scan images due to factors such as defects in detector pixels, errors in ray intensity receiving elements, and the nonlinear response of the instrument to the ray energy spectrum.
  • the computer device 130 obtains the CT scan image from the CT scan device 110 , and performs filtering, coordinate transformation and other processing on the CT scan image, thereby removing ring artifacts of the CT scan image and obtaining a clear CT scan image.
  • the application environment composed of the CT scanning device 110 and the computer device 130 can realize the removal of ring artifacts in the CT scanning image, thereby improving the analysis quality of the CT scanning image.
  • a method for processing ring artifacts in CT images is provided, which is applied to a computer device 130, and the method includes:
  • the ring artifacts in the rectangular coordinate system are transformed into strip artifacts in the polar coordinate system through the method of coordinate transformation, and then processed by Gaussian low-pass filtering to smooth and blur the image, and then coordinate transformation
  • the stripe artifact is converted into a fuzzy ring artifact image, and finally the original ring artifact image is used to subtract the processed fuzzy ring artifact image to obtain a ring artifact-removed image.
  • the present invention effectively improves the ring artifact
  • the accuracy of the shadow processing, the correction of the original CT scan image is more thorough, and a higher-quality artifact-free image can be obtained.
  • the edge of the corrected artifact-free image is completely preserved and has a higher signal-to-noise ratio.
  • the original CT image is obtained by scanning the target object with the CT scanning device 110 , where the original CT image can be obtained by scanning the full-diameter core.
  • the original CT image is a digital image formed according to the absorption or attenuation coefficients of X-rays at various points in the target object, affected by factors such as device defects of the CT scanning device 110, ring artifacts usually appear in the original CT image. film.
  • the ring artifact is the difference between the reconstructed data in the CT image and the actual attenuation coefficient of the target object, or an image that does not exist in the target object but is displayed in the CT image.
  • the existence of ring artifacts makes it difficult for CT images to reflect the influence of real target objects, so it is necessary to process the original CT scan images to remove the ring artifacts.
  • the first filtering process is a non-local mean filtering process; the first filtering process is performed on the original CT image, and the ring artifact image in the original CT image is extracted, including:
  • the purpose of performing the first filtering process on the original CT image is to separate the background image of the original CT image from the ring artifact, so as to extract the ring artifact from the original CT image to form a ring artifact image.
  • the first filtering process may use a non-local mean filtering (Non-Local Means, NLM) method to filter the original CT image.
  • NLM non-local mean filtering
  • the NLM method is an improved filtering algorithm for the traditional neighborhood filtering method, which takes into account the self-similarity of the image, makes full use of the redundant information in the image, and can maintain the details of the image to the greatest extent while denoising.
  • the background image of the original CT image can be obtained by the NLM method, and then the image subtraction process is performed on the original CT image and the scene image, and the original CT image is subtracted from the background image to extract the ring artifacts and obtain the ring artifact. image artifacts.
  • the non-local mean filter algorithm needs to calculate the similarity between all pixels in the image and the current pixel.
  • two fixed-size windows are usually set, and a large search window (D ⁇ D) and a small neighborhood window (d ⁇ d).
  • the neighborhood window slides in the search window, and the degree of influence of the corresponding central pixel on the current pixel is determined according to the similarity between the neighborhoods, that is, the weight.
  • the size of the original CT image be M*N
  • ⁇ is the image area in the original CT image
  • f(i) represents the original CT
  • w(i,j) represents the weight value assigned to the original CT image f(i);
  • a is the standard deviation of the Gaussian kernel function, which is processed by Gaussian kernel image block convolution , which can reduce the influence of noise on distance calculation and highlight the effect of the center of the image block on the pixel;
  • d(i, j) represents the weighted distance between two image blocks;
  • N(i) and N(j) represent the pixel center point is the image block i and the pixel center point is j;
  • h is the filter parameter controlling the degree of smoothness;
  • I represents the search area centered on pixel i.
  • the non-local mean filtering process adds the weight value of each pixel in the calculation, it can ensure that the mutual influence is reduced when adjacent and very different pixels are averaged in the box , so that the edge details of the image can be better preserved, the sharpness of the image can be effectively improved, and the obtained image quality is better.
  • step S300 the first conversion process is polar coordinate transformation; the first conversion process is performed on the ring artifact image to obtain the first ring artifact converted image, including:
  • the ring artifact image is an image in the Cartesian coordinate system, which is represented as a plurality of concentric circles.
  • this embodiment first performs polar coordinate transformation on the ring artifact image, and transforms the ring artifact image from Cartesian coordinates are converted to polar coordinates to transform ring artifacts into streak artifacts, also known as line artifacts.
  • the polar coordinate system includes a horizontal axis ⁇ and a vertical axis ⁇ , the value range of the horizontal axis ⁇ is 0 to 2 ⁇ , and the value range of the vertical axis ⁇ is Among them, M and N are the original CT image size.
  • the mapping method is the polar coordinate system Transformation relationship with Cartesian coordinate system. For a point (x, y) in the rectangular coordinate system, its corresponding polar coordinate system coordinates are ( ⁇ , ⁇ ), and the conversion relationship is:
  • the ring artifact appears as a straight line parallel to the horizontal axis ⁇ of the polar coordinate system in the polar coordinate system, and the ring artifact is converted into a stripe artifact to obtain a stripe artifact image.
  • the pixel value of each pixel of the ring artifact image in the polar coordinate system is determined by bilinear interpolation, so as to convert the ring artifact image into a streak artifact image.
  • bilinear interpolation is also called bilinear interpolation.
  • Bilinear interpolation is a linear interpolation extension of the interpolation function with two variables, and its core idea is to perform a linear interpolation in two directions respectively.
  • the pixel value of each pixel in the polar coordinate system of the ring artifact image is determined by bilinear interpolation, that is, the streak artifact image is obtained.
  • the ring artifact image is converted into a strip artifact image by first performing coordinate system mapping and then bilinear interpolation, which effectively reduces the information loss during the image conversion process, and the bilinear interpolation algorithm enlarges
  • the resulting image quality is high, and there will be no discontinuous pixel values.
  • step S300 the second filtering process is carried out to the first ring artifact converted image to obtain the second ring artifact converted image, including:
  • this embodiment further performs a second filtering process on the streak image. Since the noise removal actually removes some noise information in the striped artifact image, which is equivalent to a certain degree of information loss in the striped artifact image, the image after denoising will be different from the image before denoising. It is blurred, that is, after the second filtering process, a blurred streak artifact image is obtained.
  • the second filtering process can use a suitable type of filter for denoising processing, such as mean value filter, adaptive Wiener filter, median filter, morphological noise filter, wavelet denoising and so on.
  • the second filtering process adopts a Gaussian filter denoising processing method.
  • Gaussian filtering is a process of weighted average of the entire image, and the value of each pixel is obtained by weighted average of itself and other pixel values in the neighborhood.
  • the specific operation of Gaussian filtering is: scan each pixel in the image with a convolution kernel of a set size, and replace the gray value of the center pixel of the convolution kernel with the weighted average gray value of the pixels in the neighborhood determined by the convolution kernel .
  • a one-dimensional Gaussian low-pass filtering method is used to perform denoising processing on the streak artifact image.
  • the matrix size of the convolution kernel is related to the width of the stripe artifact, and the wider the stripe artifact, the larger the matrix size of the convolution kernel should be set.
  • n ⁇ 3 is set, for example, n is preferably 3. Then move the convolution kernel along the horizontal axis ⁇ to scan every pixel in the stripe artifact image.
  • G(x) of the central pixel of the convolution kernel it is obtained by weighted average of the values of itself and other pixels in the neighborhood, and the calculation method is as follows:
  • ⁇ is the standard deviation, also known as the Gaussian radius, and ⁇ 2 represents the variance.
  • step S400 the second conversion process is Cartesian coordinate transformation; the second conversion process is performed on the second ring artifact converted image to obtain a third ring artifact converted image, including:
  • fuzzy strip artifact image is an image in the polar coordinate system, it needs to be inversely transformed into an image in the rectangular coordinate system to obtain a fuzzy ring artifact image.
  • Artifacts in blurred ring artifact images also appear as ring artifacts in Cartesian coordinates.
  • Cartesian coordinate conversion is the inverse process of polar coordinate conversion. For a point ( ⁇ , ⁇ ) in the polar coordinate system, its corresponding Cartesian coordinate system coordinates are (x, y).
  • the polar coordinate inverse transformation formula is as follows:
  • step S500 subtraction processing is performed on the original CT image and the fuzzy ring artifact image, and the fuzzy ring artifacts are subtracted from the original CT image.
  • image that is, the ring artifact in the original CT image can be removed to obtain a CT image with the artifact removed.
  • This embodiment starts with the edge characteristics of ring artifacts, separates them through non-local mean filtering and polar coordinate transformation, and transforms ring artifacts in the Cartesian coordinate system into lines in the polar coordinate system through coordinate transformation.
  • the image is processed by one-dimensional Gaussian low-pass filter to smooth and blur the image, and the processed image is subtracted from the original ring artifact image to get the image without ring artifact, which improves the processing of ring artifact.
  • the accuracy of the original CT scan image is corrected more thoroughly, and a better-quality artifact-free image can be obtained.
  • the edge of the corrected artifact-free image is completely preserved and has a higher signal-to-noise ratio.
  • a processing device for ring artifacts in CT images including:
  • a data acquisition module configured to acquire an original CT image with ring artifacts
  • the image processing module is configured to perform first filtering processing on the original CT image, and extract the ring artifact image in the original CT image;
  • the first image conversion module is configured to perform a first conversion process on the ring artifact image to obtain a first ring artifact converted image, and perform a second filtering process on the first ring artifact converted image to obtain a second Ring artifact transformed image;
  • the second image conversion module is configured to perform a second conversion process on the second ring artifact converted image to obtain a third ring artifact converted image, and the second conversion process is an inverse process of the first conversion process;
  • the artifact removal module is configured to perform image subtraction processing on the original CT image and the third ring artifact converted image to obtain a target CT image that does not include ring artifacts.
  • a system for processing ring artifacts in CT images including:
  • a CT scanning device for performing a CT scan on the target to acquire a raw CT image
  • the above-mentioned device for processing ring artifacts in CT images is a full-diameter core.
  • an electronic device including:
  • the processor is configured to read the computer-readable instructions stored in the memory, so as to execute the above method for processing ring artifacts in CT images.
  • the electronic device 600 shown in FIG. 5 is only an example, and should not impose any limitation on the functions and application scope of the embodiment of the present application.
  • the electronic device 600 includes a central processing unit 601 (Central Processing Unit, CPU), which can be stored in a program in a read-only memory 602 (Read-Only Memory, ROM) or loaded from a storage part 608 to a random Various appropriate actions and processes are executed by accessing programs in the memory 603 (Random Access Memory, RAM). In the random access memory 603, various programs and data necessary for system operation are also stored.
  • the CPU 601 , the read only memory 602 and the random access memory 603 are connected to each other through a bus 604 .
  • An input/output interface 605 Input/Output interface, ie, an I/O interface
  • I/O interface input/output interface
  • the following components are connected to the input/output interface 605: an input part 606 including a keyboard, a mouse, etc.; an output part 607 including a cathode ray tube (Cathode Ray Tube, CRT), a liquid crystal display (Liquid Crystal Display, LCD) etc., and a speaker ; a storage section 608 including a hard disk or the like; and a communication section 609 including a network interface card such as a LAN card, a modem, or the like. The communication section 609 performs communication processing via a network such as the Internet.
  • a driver 610 is also connected to the input/output interface 605 as needed.
  • a removable medium 611 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc. is mounted on the drive 610 as necessary so that a computer program read therefrom is installed into the storage section 608 as necessary.
  • the processes described in the respective method flowcharts can be implemented as computer software programs.
  • the embodiments of the present application include a computer program product, which includes a computer program carried on a computer-readable medium, where the computer program includes program codes for executing the methods shown in the flowcharts.
  • the computer program may be downloaded and installed from a network via communication portion 609 and/or installed from removable media 611 .
  • the central processing unit 601 When the computer program is executed by the central processing unit 601, various functions defined in the system of the present application are performed.
  • the technical solutions according to the embodiments of the present application can be embodied in the form of software products, which can be stored in a non-volatile storage medium (which can be CD-ROM, U disk, mobile hard disk, etc.) or on the network , including several instructions to make a computing device (which may be a personal computer, server, terminal device, or network device, etc.) execute the method according to the embodiment of the present application.
  • a non-volatile storage medium which can be CD-ROM, U disk, mobile hard disk, etc.
  • a computing device which may be a personal computer, server, terminal device, or network device, etc.
  • a machine-readable storage medium is provided, and instructions are stored on the machine-readable storage medium.
  • the processor is configured to perform the above CT image ring pseudo Shadow processing method.
  • Machine-readable storage media includes both volatile and non-volatile, removable and non-removable media that may be implemented by any method or technology for storage of information.
  • Information may be computer readable instructions, data structures, modules of a program, or other data.
  • Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read only memory (ROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Flash memory or other memory technology, Compact Disc Read-Only Memory (CD-ROM), Digital Versatile Disc (DVD) or other optical storage, Magnetic tape cartridge, tape magnetic disk storage or other magnetic storage device or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
  • computer-readable media excludes transitory computer-readable media, such as modulated data signals and carrier waves.
  • These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions
  • the device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.
  • any combination of various implementations of the present invention can also be made, as long as they do not violate the idea of the implementations of the present invention, they should also be regarded as the content disclosed in the implementations of the present invention.

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Abstract

Des modes de réalisation de la présente invention se rapportent au domaine technique du traitement d'image et concernent un procédé et un appareil de traitement d'artéfact d'anneau d'images de tomodensitométrie (CT), un système et un support de stockage. Le procédé consiste : à acquérir une image CT d'origine ; à effectuer un premier traitement de filtre sur l'image CT d'origine pour extraire une image d'artéfact d'anneau dans l'image CT d'origine ; à effectuer un premier traitement de conversion sur l'image d'artéfact d'anneau pour obtenir une première image de conversion d'artéfact d'anneau et à effectuer un second traitement de filtre sur la première image de conversion d'artéfact d'anneau pour obtenir une deuxième image de conversion d'artéfact d'anneau ; à effectuer un second traitement de conversion sur la deuxième image de conversion d'artéfact d'anneau pour obtenir une troisième image de conversion d'artéfact d'anneau, le second traitement de conversion étant un processus inverse du premier traitement de conversion ; et à effectuer un traitement de soustraction d'image sur l'image CT d'origine et la troisième image de conversion d'artéfact d'anneau pour obtenir une image CT cible ne comprenant pas d'artéfact d'anneau. Selon la présente invention, la précision du traitement d'artéfact d'anneau est efficacement améliorée de telle sorte qu'une image sans artéfact de qualité supérieure puisse être obtenue, que le bord de l'image reste intact, et qu'un rapport signal sur bruit soit élevé.
PCT/CN2022/141019 2021-12-31 2022-12-22 Procédé et appareil de traitement d'artéfact d'anneau d'images de tomodensitométrie, système, et support de stockage WO2023125228A1 (fr)

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CN103839229A (zh) * 2012-11-26 2014-06-04 上海联影医疗科技有限公司 去除图像中环状伪影的方法
CN104715458A (zh) * 2015-03-23 2015-06-17 华中科技大学 一种双模非局部均值滤波方法
CN109166161A (zh) * 2018-07-04 2019-01-08 东南大学 一种基于噪声伪影抑制卷积神经网络的低剂量ct图像处理***
CN109801343A (zh) * 2018-12-16 2019-05-24 西安电子科技大学 基于重建前后图像的环形伪影校正方法、ct控制***

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103839229A (zh) * 2012-11-26 2014-06-04 上海联影医疗科技有限公司 去除图像中环状伪影的方法
CN104715458A (zh) * 2015-03-23 2015-06-17 华中科技大学 一种双模非局部均值滤波方法
CN109166161A (zh) * 2018-07-04 2019-01-08 东南大学 一种基于噪声伪影抑制卷积神经网络的低剂量ct图像处理***
CN109801343A (zh) * 2018-12-16 2019-05-24 西安电子科技大学 基于重建前后图像的环形伪影校正方法、ct控制***

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