Self-adaptive adjustment method, device and equipment for CT (Computed Tomography) double-layer scanning imaging and medium

Abstract

The invention relates to the technical field of data imaging, and discloses a self-adaptive adjustment method, device and equipment for CT double-layer scanning imaging and a medium, and the method comprises the steps: obtaining a to-be-scanned object, and carrying out the double-layer detector scanning of the to-be-scanned object, and obtaining high-energy original data and low-energy original data; performing adaptive data adjustment on the high-energy original data according to the low-energy original data to obtain adaptive high-energy attenuation data; performing projection domain material decomposition on the self-adaptive high-energy attenuation data and the low-energy original data to obtain a first base material density integral and a second base material density integral; performing three-dimensional reconstruction on the first base material density integral and the second base material density integral to obtain a first base material density image and a second base material density image; and performing image synthesis on the first base material density image and the second base material density image to obtain a monoenergetic attenuation image of the to-be-scanned object. According to the method, the optimality of attenuation data acquisition and the accuracy of oral cone beam CT scanning imaging can be effectively improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data imaging, and in particular, to an adaptive adjustment method, device, equipment and medium for CT double-layer scanning imaging. Background Art

[0002] Cone-beam computed tomography (CBCT) has the advantages of high resolution and low radiation dose, and is widely used in oral and maxillofacial imaging examinations. However, the X-ray used is usually an X-ray with mixed multi-color energy. After passing through the scanned object, the low-energy ray part is easily absorbed to varying degrees, resulting in low accuracy of the attenuation coefficient obtained by its tomographic imaging, and usually accompanied by heavy beam hardening artifacts or metal artifacts, etc., causing certain troubles to doctors' clinical examinations and diagnoses.

[0003] In response to this phenomenon, the dual-energy CT equipment widely used in spiral CT can obtain single-energy information at present, and thus has a better imaging effect, while the dual-energy CBCT applied to dental cone-beam CT is relatively less. Usually, the double-layer detector scanning scheme of CT uses two double-layer detectors to simultaneously obtain two-energy ray scans. However, the internal filtration of the double-layer detector is of a fixed thickness and difficult to adjust. During use, it is impossible to adjust and select to obtain the optimal two energies, nor can it obtain attenuation data that meets the imaging requirements, resulting in inaccurate scanning imaging results.

[0004] Therefore, how to improve the optimality of obtaining attenuation data and the accuracy of oral cone-beam CT scanning imaging has become an urgent problem to be solved. Summary of the Invention

[0005] The present invention provides an adaptive adjustment method, device, equipment and medium for CT double-layer scanning imaging, and its main purpose is to solve the technical problems of poor accuracy in obtaining attenuation data and inaccurate CT scanning imaging.

[0006] In a first aspect, to achieve the above object, an adaptive adjustment method for CT double-layer scanning imaging provided by the present invention includes:

[0007] Obtain an object to be scanned, and perform double-layer detector scanning on the object to be scanned to obtain high-energy raw data and low-energy raw data;

[0008] Perform adaptive data adjustment on the high-energy raw data according to the low-energy raw data to obtain adaptive high-energy attenuation data;

[0009] Perform projection domain material decomposition on the adaptive high-energy attenuation data and the low-energy raw data to obtain a first basis material density integral and a second basis material density integral;

[0010] Perform three-dimensional reconstruction on the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image;

[0011] Perform image synthesis on the first basis material density image and the second basis material density image to obtain a monoenergetic attenuation image of the object to be scanned.

[0012] In a second aspect, the present invention further provides an adaptive adjustment device for CT dual-layer scanning imaging, including:

[0013] A data scanning module, configured to acquire an object to be scanned, perform dual-layer detector scanning on the object to be scanned, and obtain high-energy raw data and low-energy raw data;

[0014] A data adjustment module, configured to perform adaptive data adjustment on the high-energy raw data according to the low-energy raw data to obtain adaptive high-energy attenuation data;

[0015] A material decomposition module, configured to perform projection-domain material decomposition on the adaptive high-energy attenuation data and the low-energy raw data to obtain a first basis material density integral and a second basis material density integral;

[0016] A three-dimensional reconstruction module, configured to perform three-dimensional reconstruction on the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image;

[0017] An image synthesis module, configured to perform image synthesis on the first basis material density image and the second basis material density image to obtain a monoenergetic attenuation image of the object to be scanned.

[0018] In a third aspect, the present invention further provides an electronic device, where the electronic device includes:

[0019] At least one processor; and,

[0020] A memory communicatively connected to the at least one processor; wherein,

[0021] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the above-mentioned adaptive adjustment method for CT dual-layer scanning imaging.

[0022] In a fourth aspect, the present invention further provides a computer-readable storage medium, where at least one computer program is stored in the computer-readable storage medium, and the at least one computer program is executed by a processor in an electronic device to implement the above-mentioned adaptive adjustment method for CT dual-layer scanning imaging.

[0023] In the embodiments of the present invention, through the design of a dual-layer detector, low-energy and high-energy raw data can be captured and distinguished simultaneously. Moreover, different substances have different absorption coefficients for low-energy and high-energy data. By analyzing the low-energy raw data and high-energy raw data, information such as the absorption attenuation differences of the object to be scanned at different energies can be obtained, thereby distinguishing different substance components. The fitting coefficient of the filtration thickness is calculated using the linear interpolation method, and the adaptive adjustment of the high-energy raw data is achieved through the fitting coefficient, thereby enhancing the continuity and smoothness of the data and improving the quality of subsequent image synthesis. The projection-domain material decomposition is performed on the adaptive high-energy attenuation data and low-energy raw data, that is, through the projection conversion technology, the adaptive high- and low-energy attenuation data are converted into attenuation integral projections, effectively extracting the attenuation information of the ray beam at different angles and positions. The material coefficient decomposition is performed on the high- and low-energy attenuation integral data, more accurately reflecting the attenuation characteristics of the substance under different energy X-rays. The three-dimensional reconstruction of the first and second basis material density integrals can more clearly display the density and component information of different tissues inside the human oral cavity, generate images with high resolution and contrast, and improve the accuracy and efficiency of scanning imaging. By combining the mass attenuation coefficients of the two basis materials at a specific energy level, image synthesis is performed on the first basis material density image and the second basis material density image, and a virtual monoenergetic attenuation image at the specific energy level can be obtained. Moreover, a more optimal filtration thickness can be set according to experience, which is beneficial to purifying the energy corresponding to the virtual monoenergetic attenuation image and obtaining better monoenergetic attenuation imaging quality without changing the inherent filtration of the dual-layer detector. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments of the present invention. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0025] Figure 1 It is a schematic flowchart of an adaptive adjustment method for CT dual-layer scanning imaging provided by an embodiment of the present invention;

[0026] Figure 2 It is a schematic module diagram of an adaptive adjustment device for CT dual-layer scanning imaging provided by an embodiment of the present invention;

[0027] Figure 3 It is a schematic structural diagram of an electronic device for implementing an adaptive adjustment method for CT dual-layer scanning imaging provided by an embodiment of the present invention;

[0028] Figure 4It is another schematic structural diagram of an electronic device for implementing an adaptive adjustment method for CT double-layer scanning imaging provided by an embodiment of the present invention.

[0029] The implementation, functional features and advantages of the object of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. Specific embodiments

[0030] In order to enable those skilled in the art of the present technology to better understand the technical solutions of the present disclosure, and to fully understand how the present disclosure uses technical means to solve technical problems and the implementation process of achieving corresponding technical effects and to implement accordingly, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all of the embodiments. The embodiments of the present disclosure and each feature in the embodiments can be combined with each other without conflict, and the formed technical solutions are all within the protection scope of the present disclosure. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present disclosure.

[0031] It should be noted that the terms "first", "second", etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of the present disclosure described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or equipment including a series of steps or units does not necessarily need to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or equipment.

[0032] The embodiments of the present application provide an adaptive adjustment method for CT dual-layer scanning imaging. The execution subject of the adaptive adjustment method for CT dual-layer scanning imaging includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the device provided in the embodiments of the present application. In other words, the adaptive adjustment method for CT dual-layer scanning imaging can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc. The server can be an independent server or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, Content Delivery Network (CDN), and big data and artificial intelligence platforms.

[0033] The present invention will be described in detail through specific embodiments below.

[0034] Refer to Figure 1 As shown, it is a schematic flowchart of an adaptive adjustment method for CT dual-layer scanning imaging provided by an embodiment of the present invention. In this embodiment, the adaptive adjustment method for CT dual-layer scanning imaging includes:

[0035] S1. Obtain an object to be scanned, and perform dual-layer detector scanning on the object to be scanned to obtain high-energy raw data and low-energy raw data.

[0036] In the embodiments of the present invention, the dual-layer detector refers to a device for receiving two attenuation data obtained after the same energy X-ray passes through the object to be scanned. The high- and low-energy raw data refers to scanning the object to be scanned with X-ray beams of two energies through the dual-layer detector to obtain photon number information at different energies, that is, obtaining high-energy and low-energy raw data.

[0037] In the embodiments of the present invention, the performing dual-layer detector scanning on the object to be scanned to obtain high-energy raw data and low-energy raw data includes:

[0038] Control a preset radiation source to alternately emit radiation beams to obtain a scanning area;

[0039] During the process of the object to be scanned passing through the scanning area, use the upper detection layer of a preset dual-layer detector to capture signals of the object to be scanned to obtain low-energy attenuation signals;

[0040] Use the intermediate filtering layer of the dual-layer detector to absorb the low-energy attenuation signals to obtain high-energy attenuation signals;

[0041] Perform data conversion on the low-energy attenuation signal and the high-energy attenuation signal to obtain low-energy raw data and high-energy raw data.

[0042] Specifically, the radiation source can be a device that emits X-ray beams of the same energy, mainly composed of an X-ray tube that excites X-rays and a high-voltage generator that provides the anode and cathode high voltages for the X-ray tube. It can alternately emit X-ray beams of the required specific energy, thereby forming a scanning area. The size and shape of the scanning area depend on the parameters of the radiation source and the geometric layout of the double-layer detector. During the scanning process, the scanning area needs to completely cover the object to be scanned.

[0043] Among them, the double-layer detector usually consists of a detection layer composed of upper and lower TFT photoelectric conversion components, namely the upper detector and the lower detector, and an intermediate filtration layer. The upper detector obtains the upper low-energy attenuation signal, and the lower detector obtains the lower high-energy attenuation signal.

[0044] Furthermore, the low-energy attenuation signal formed after the radiation beam passes through the object to be scanned is captured by the upper detection layer of the double-layer detector to obtain the low-energy attenuation signal. After passing through the intermediate filtration layer, since part of the low-energy signal of the low-energy attenuation signal is absorbed by the filtration layer, the attenuation signal captured by the lower detection layer of the double-detector is the high-energy attenuation signal. Perform signal data conversion on the high-energy attenuation signal and the low-energy attenuation signal, and convert it into a digital signal that can be processed by a computer. An analog-to-digital converter (ADC) can be used for this data conversion, thereby obtaining high-energy raw data and low-energy raw data, which is convenient for subsequent image reconstruction and analysis.

[0045] In the embodiment of the present invention, when scanning the object to be scanned with a double-layer detector, ensure that the scanning area needs to completely cover the object to be scanned to avoid data loss; through the design of the double-layer detector, it is possible to simultaneously capture and distinguish low-energy raw data and high-energy raw data, and the absorption coefficients of different substances for low-energy and high-energy data are different.

[0046] S2. Perform adaptive data adjustment on the high-energy raw data according to the low-energy raw data to obtain adaptive high-energy attenuation data.

[0047] In the embodiment of the present invention, the adaptive data adjustment refers to calculating the fitting coefficient according to the high- and low-energy raw data and the known filtration thickness of the double-layer detector, and calculating the adaptive high- and low-energy attenuation data at a specific thickness according to the fitting coefficient.

[0048] In the embodiment of the present invention, performing the adaptive data adjustment on the high-energy raw data according to the low-energy raw data to obtain the adaptive high-energy attenuation data includes:

[0049] Obtain the filtration thickness of the double-layer detector;

[0050] Calculate the fitting coefficient for the high-energy raw data based on the filtered thickness and the low-energy raw data using the linear interpolation formula;

[0051] Perform adaptive data adjustment on the high-energy raw data according to the fitting coefficient and the low-energy raw data to obtain the adaptive high-energy attenuation data corresponding to the filtered thickness.

[0052] Specifically, the linear interpolation formula is shown as follows:

[0053] α = (S h - S l ) / d

[0054] where α represents the fitting coefficient, S h represents the high-energy raw data, S l represents the low-energy raw data, d represents the filtered thickness of the double-layer detector, h represents the high-energy condition, and l represents the low-energy condition.

[0055] Specifically, the following formula can be used to calculate the adaptive high-energy attenuation data:

[0056] S hc = S l + αd

[0057] where α represents the fitting coefficient, S hc represents the adaptive high-energy attenuation data, S l represents the low-energy raw data, and d represents the filtered thickness of the double-layer detector.

[0058] Specifically, there is an intermediate filter layer between the upper detector and the lower detector of the double-layer detector. The intermediate filter layer is used to absorb part of the low-energy photons, so that mainly high-energy photons reach the lower detector. The energy spectrum of the raw data of the lower detection layer depends on the filtered thickness.

[0059] Furthermore, the linear interpolation method is a commonly used interpolation algorithm. It can estimate the values between two data points based on the known data points. Calculate the fitting coefficient according to the known filtered thickness and the high- and low-energy raw data using the linear interpolation formula. The fitting coefficient is a parameter reflecting the relationship between the filtered thickness and the high- and low-energy raw data. Predict and adjust the value of the high-energy raw data through the fitting coefficient, so as to obtain the adaptive high-energy attenuation data corresponding to the filtered thickness.

[0060] In the embodiment of the present invention, the fitting coefficient of the filtered thickness is calculated using the linear interpolation method, and the adaptive adjustment of the high-energy raw data is realized through the fitting coefficient, thereby enhancing the continuity and smoothness of the data and improving the quality of subsequent image synthesis.

[0061] S3. Perform projection domain material decomposition on the adaptive high - energy attenuation data and the low - energy raw data to obtain the first basis material density integral and the second basis material density integral.

[0062] In an embodiment of the present invention, projection domain conversion is performed on the adaptive high - energy attenuation data and the low - energy raw data, and dual - material decomposition is performed on the converted high - and low - energy attenuation projection data, so as to obtain the first basis material density integral and the second basis material density integral corresponding to the adaptive high - energy attenuation data and the low - energy raw data.

[0063] In an embodiment of the present invention, the performing projection domain material decomposition on the adaptive high - energy attenuation data and the low - energy raw data to obtain the first basis material density integral and the second basis material density integral includes:

[0064] Perform projection conversion on the adaptive high - energy attenuation data and the low - energy raw data to obtain a high - energy attenuation integral and a low - energy attenuation integral;

[0065] Establish a material decomposition mapping relationship between the high - energy attenuation integral and the low - energy attenuation integral and a preset first basis material density integral and second basis material density integral according to the tube energy spectrum distribution curve;

[0066] Find the first basis material density integral and the second basis material density integral corresponding to the high - energy attenuation integral and the low - energy attenuation integral according to the material decomposition mapping relationship.

[0067] Specifically, according to the Beer - Lambert law, the following formula can be used for projection conversion:

[0068]

[0069] where p represents the high - energy attenuation integral (or the low - energy attenuation integral), S 0 represents the number of incident photons of the double - layer detector, and S represents the number of outgoing photons in the adaptive high - energy attenuation data (or the low - energy raw data).

[0070] Specifically, performing projection conversion on the adaptive high - energy attenuation data and the low - energy raw data and converting the raw data into attenuation integral projections can obtain high - and low - energy attenuation integral data, which is the basis for subsequent material coefficient decomposition.

[0071] Further, perform basis material coefficient decomposition on the high-energy and low-energy attenuation integral data. The basis materials can be water materials and bone materials. Construct a material decomposition equation system for the high-energy and low-energy attenuation projection data based on the attenuation coefficients and density integrals of the basis materials, and solve the material decomposition equation system to obtain the high-energy attenuation integral data and the low-energy attenuation integral data. Establish a mapping relationship between the high-energy attenuation integral data, the low-energy attenuation integral data, and the density integrals of the preset basis materials according to the basis material correlation coefficients, and find the first basis material density integral and the second basis material density integral corresponding to the high-energy attenuation integral data and the low-energy attenuation integral data according to the material decomposition mapping relationship.

[0072] In the embodiment of the present invention, the establishing the material decomposition mapping relationship between the high-energy attenuation integral and the low-energy attenuation integral and the preset first basis material density integral and second basis material density integral according to the tube spectrum distribution curve includes:

[0073] Obtain the mass attenuation coefficients corresponding to the preset basis materials, as well as the high-energy spectrum distribution curve and the low-energy spectrum distribution curve;

[0074] Construct a material decomposition equation system according to the mass attenuation coefficients, the high-energy spectrum distribution curve, and the low-energy spectrum distribution curve;

[0075] Solve according to the material decomposition equation system and construct a material decomposition mapping relationship table between the high-energy attenuation integral and the low-energy attenuation integral and the preset first basis material density integral and second basis material density integral.

[0076] Specifically, the material decomposition equation system is as follows:

[0077]

[0078] Wherein, h represents the high-energy condition, l represents the low-energy condition, p h represents the high-energy attenuation integral, p l represents the low-energy attenuation integral, E represents the preset specific energy level, S h (E) represents the high-energy spectrum distribution curve, S l (E) represents the low-energy spectrum distribution curve, A represents the basis material - water material, B represents the basis material - bone material, represents the mass attenuation coefficient of the basis material - water material at the specific energy level, represents the mass attenuation coefficient of the basis material - bone material at the specific energy level, ρ represents the density of the basis material, μ represents the preset linear attenuation coefficient, t represents the thickness of the basis material, ∫ρ A (t)dt represents the density integral of the basis material - water material with respect to the thickness of the basis material - water material, ∫ρB (t)dt represents the density integral of the base material-bone material with respect to the thickness of the base material-bone material.

[0079] The present invention can also calculate the high-energy attenuation integral and the low-energy attenuation integral based on the high-energy attenuation data and the low-energy attenuation data, as follows: p h = p hs / p h0 and p l = p ls / p l0 , p hs and p ls respectively represent the high-energy attenuation data and the low-energy attenuation data, p h0 and p l0 respectively represent the high-energy attenuation data and the low-energy attenuation data during air scanning.

[0080] In the embodiments of the present invention, through the projection conversion technology, the adaptive high-low energy attenuation data is converted into attenuation integral data, effectively extracting the attenuation information of the ray beam at different angles and positions, improving the speed and efficiency of data processing; performing material coefficient decomposition on the high-low energy attenuation integral data to obtain the material decomposition mapping relationship, so as to find the first base material density integral and the second base material density integral corresponding to the high-energy attenuation integral data and the low-energy attenuation integral data, more accurately reflecting the attenuation characteristics of the material under different energy rays, and providing strong support for subsequent three-dimensional reconstruction.

[0081] S4. Perform three-dimensional reconstruction on the first base material density integral and the second base material density integral to obtain a first base material density image and a second base material density image.

[0082] In the embodiments of the present invention, the three-dimensional reconstruction includes related operations such as a ramp filter, cosine weighting, and backprojection.

[0083] In the embodiments of the present invention, performing three-dimensional reconstruction on the first base material density integral and the second base material density integral to obtain a first base material density image and a second base material density image includes:

[0084] Perform ramp filtering on the first base material density integral and the second base material density integral to obtain first base material filtered data and second base material filtered data;

[0085] Perform weighted backprojection on the first base material filtered data and the second base material filtered data to obtain a first base material density image and a second base material density image.

[0086] Specifically, the ramp filtering is a back-projection filtering method, which can be implemented by a preset ramp-shaped filtering function. By means of ramp filtering, the noise in the first basis material density integral and the second basis material density integral can be reduced. Weighted back-projection is to perform back-projection on the first basis material filtered data and the second basis material filtered data to generate intermediate images, namely the first basis material density image and the second basis material density image. The weighted back-projection is an inverse process that converts projection data (usually two-dimensional X-ray images) back into the density distribution of a three-dimensional object, that is, reconstructs the three-dimensional first basis material density image and the second basis material density image. Among them, the first basis material filtered data and the second basis material filtered data can be weighted back-projected according to the angles and distances during double-layer detector scanning by using a preset back-projection formula, and the obtained first basis material density image and second basis material density image will more accurately reflect the basis material density distribution inside the object.

[0087] In the embodiments of the present invention, three-dimensional reconstruction of the first and second basis material density integrals can more clearly display the density and composition information of different tissues inside the human oral cavity. The three-dimensional reconstruction technology can make full use of the first and second basis material density integral data to generate images with high resolution and contrast, improving the accuracy and efficiency of scanning imaging.

[0088] S5. Perform image synthesis on the first basis material density image and the second basis material density image to obtain the monoenergetic attenuation image of the object to be scanned.

[0089] In the embodiments of the present invention, by performing image synthesis on the first and second basis material density images, the monoenergetic attenuation image of the object to be scanned is obtained, realizing the comprehensive capture and accurate expression of the attenuation characteristics of the object at different energies.

[0090] In the embodiments of the present invention, the performing image synthesis on the first basis material density image and the second basis material density image to obtain the monoenergetic attenuation image of the object to be scanned includes:

[0091] Obtain the mass attenuation coefficient corresponding to the preset basis material;

[0092] Perform image stitching on the first basis material density image and the second basis material density image according to the mass attenuation coefficient to obtain the monoenergetic attenuation image of the object to be scanned.

[0093] Specifically, the following formula can be used for image stitching:

[0094]

[0095] where D represents the monoenergetic attenuation image of the object to be scanned, D A represents the first basis material density image, DB represents the second basis material density image, represents the mass attenuation coefficient of the basis material - water material at a specific energy level, represents the mass attenuation coefficient of the basis material - bone material at a specific energy level, E represents a preset specific energy level, ρ represents the density of the basis material, μ represents a preset linear attenuation coefficient, A represents the basis material - water material, and B represents the basis material - bone material.

[0096] Specifically, the basis material can be a water material, a bone material, etc. The mass attenuation coefficient describes the absorption ability of the basis material for radiation such as X - rays. In CT scanning, the attenuation coefficient is used to calculate the density of each point inside the object to be scanned.

[0097] Furthermore, in dual - energy CT scanning, the information in the first and second basis material density images is combined according to the basis material attenuation coefficients to generate one or more mono - energy attenuation images, that is, a single attenuation image corresponding to a specific energy level is synthesized from the basis material images to simulate the attenuation behavior at a specific energy.

[0098] In the embodiments of the present invention, by combining the mass attenuation coefficients of two basis materials at a specific energy level, image synthesis is performed on the first basis material density image and the second basis material density image, a virtual mono - energy attenuation image at the specific energy level can be obtained, and a more optimal filtration thickness can be set according to experience, which is beneficial to purifying the energy corresponding to the virtual mono - energy attenuation image and obtaining better mono - energy attenuation imaging quality without changing the inherent filtration of the dual - layer detector.

[0099] In the embodiments of the present invention, through the design of a dual-layer detector, it is possible to simultaneously capture and distinguish low-energy and high-energy raw data, and the absorption coefficients of different substances for low-energy and high-energy data are different; the fitting coefficient of the filtration thickness is calculated by using the linear interpolation method, and the high-energy raw data is adaptively adjusted through the fitting coefficient, thereby enhancing the continuity and smoothness of the data and improving the quality of subsequent image synthesis; the projection-domain material decomposition is performed on the adaptively high-energy attenuation data and low-energy raw data, that is, through the projection conversion technology, the adaptively high-low energy attenuation data is converted into attenuation integral projections, effectively extracting the attenuation information of the ray beam at different angles and positions, and performing material coefficient decomposition on the high-low energy attenuation integral data, more accurately reflecting the attenuation characteristics of substances under different energy X-rays; three-dimensional reconstruction is performed on the first and second basis material density integrals, which can more clearly display the density and composition information of different tissues inside the human oral cavity, generate images with high resolution and contrast, and improve the accuracy and efficiency of scanning imaging; by combining the mass attenuation coefficients of the two basis materials at a specific energy level, image synthesis is performed on the first basis material density image and the second basis material density image, a virtual monoenergetic attenuation image at the specific energy level can be obtained, and a more optimal filtration thickness can be set according to experience, which is beneficial to purifying the energy corresponding to the virtual monoenergetic attenuation image, and a better monoenergetic attenuation imaging quality can be obtained without changing the inherent filtration of the dual-layer detector.

[0100] It should be understood that the magnitudes of the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of each process should be determined according to its function and internal logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.

[0101] As Figure 2 shown, it is a functional module diagram of an adaptive adjustment device for CT dual-layer scanning imaging provided by an embodiment of the present invention.

[0102] In the embodiments of the present disclosure, an adaptive adjustment device for CT dual-layer scanning imaging is provided, and the adaptive adjustment device for CT dual-layer scanning imaging corresponds one-to-one with the above-mentioned embodiment of the adaptive adjustment method for CT dual-layer scanning imaging. As Figure 2 shown, the adaptive adjustment device 100 for CT dual-layer scanning imaging can be installed in an electronic device. According to the functions implemented, the adaptive adjustment device 100 for CT dual-layer scanning imaging includes a data scanning module 101, a data adjustment module 102, a material decomposition module 103, a three-dimensional reconstruction module 104, and an image synthesis module 105. The detailed descriptions of each functional module are as follows:

[0103] The data scanning module 101 is configured to obtain an object to be scanned, perform dual-layer detector scanning on the object to be scanned, and obtain high-energy raw data and low-energy raw data;

[0104] The data adjustment module 102 is configured to perform adaptive data adjustment on the high-energy raw data according to the low-energy raw data to obtain adaptive high-energy attenuation data;

[0105] The material decomposition module 103 is configured to perform projection domain material decomposition on the adaptive high-energy attenuation data and the low-energy raw data to obtain a first basis material density integral and a second basis material density integral;

[0106] The three-dimensional reconstruction module 104 is configured to perform three-dimensional reconstruction on the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image;

[0107] The image synthesis module 105 is configured to perform image synthesis on the first basis material density image and the second basis material density image to obtain a monoenergetic attenuation image of the object to be scanned.

[0108] In one embodiment, when the data scanning module 101 performs double-layer detector scanning on the object to be scanned to obtain high-energy raw data and low-energy raw data, it is configured to:

[0109] Control a preset radiation source to alternately emit radiation beams to obtain a scanning area;

[0110] During the process of the object to be scanned passing through the scanning area, use the upper detection layer of the preset double-layer detector to capture signals from the object to be scanned to obtain low-energy attenuation signals;

[0111] Use the intermediate filtering layer of the double-layer detector to absorb the low-energy attenuation signals to obtain high-energy attenuation signals;

[0112] Perform data conversion on the low-energy attenuation signals and the high-energy attenuation signals to obtain low-energy raw data and high-energy raw data.

[0113] In one embodiment, when the data adjustment module 102 performs adaptive data adjustment on the high-energy raw data according to the low-energy raw data to obtain adaptive high-energy attenuation data, it is configured to:

[0114] Obtain the filtering thickness of the double-layer detector;

[0115] Use a linear interpolation formula to calculate a fitting coefficient for the high-energy raw data according to the filtering thickness and the low-energy raw data;

[0116] Perform adaptive data adjustment on the high-energy raw data according to the fitting coefficient and the low-energy raw data to obtain the adaptive high-energy attenuation data corresponding to the filtering thickness.

[0117] In one embodiment, when the material decomposition module 103 performs projection domain material decomposition on the adaptive high-energy attenuation data and the low-energy raw data to obtain the first basis material density integral and the second basis material density integral, it is used for:

[0118] Perform projection conversion on the adaptive high-energy attenuation data and the low-energy raw data to obtain a high-energy attenuation integral and a low-energy attenuation integral;

[0119] Establish a material decomposition mapping relationship between the high-energy attenuation integral and the low-energy attenuation integral and the preset first basis material density integral and second basis material density integral according to the tube energy spectrum distribution curve;

[0120] Find the first basis material density integral and the second basis material density integral corresponding to the high-energy attenuation integral and the low-energy attenuation integral according to the material decomposition mapping relationship.

[0121] In one embodiment, when the material decomposition module 103 performs establishing a material decomposition mapping relationship between the high-energy attenuation integral and the low-energy attenuation integral and the preset first basis material density integral and second basis material density integral according to the tube energy spectrum distribution curve, it includes:

[0122] Obtain the mass attenuation coefficients corresponding to the preset basis materials, as well as the high-energy spectrum distribution curve and the low-energy spectrum distribution curve;

[0123] Construct a material decomposition equation set according to the mass attenuation coefficients, the high-energy spectrum distribution curve, and the low-energy spectrum distribution curve;

[0124] Solve the material decomposition equation set and construct a material decomposition mapping relationship table between the high-energy attenuation integral and the low-energy attenuation integral and the preset first basis material density integral and second basis material density integral.

[0125] In one embodiment, when the 3D reconstruction module 104 performs 3D reconstruction on the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image, it is used for:

[0126] Perform ramp filtering on the first basis material density integral and the second basis material density integral to obtain first basis material filtered data and second basis material filtered data;

[0127] Perform weighted backprojection on the first basis material filtered data and the second basis material filtered data to obtain a first basis material density image and a second basis material density image.

[0128] In one embodiment, when the image synthesis module 105 performs image synthesis on the first basis material density image and the second basis material density image to obtain the monoenergetic attenuation image of the object to be scanned, it is configured to:

[0129] Obtain the mass attenuation coefficient corresponding to the preset basis material;

[0130] Perform image stitching on the first basis material density image and the second basis material density image according to the mass attenuation coefficient to obtain the monoenergetic attenuation image of the object to be scanned.

[0131] In the present invention, for an adaptive adjustment device for CT dual-layer scanning imaging, first, through the design of a dual-layer detector, the present invention can simultaneously capture and distinguish low-energy and high-energy raw data, providing data support and information basis for subsequent image reconstruction and material separation; the filtration thickness can be set according to empirical values to select the thickness value that is most beneficial to the subsequent high-low energy separation; the fitting coefficient of the filtration thickness is calculated by using the linear interpolation method, and the adaptive adjustment of the high-energy raw data is realized through the fitting coefficient, thereby enhancing the continuity and smoothness of the data and improving the quality of subsequent image synthesis; through the projection conversion technology, the adaptive high-low energy attenuation data is converted into attenuation integral projections, effectively extracting the attenuation information of the beam at different angles and positions, improving the speed and efficiency of data processing, decomposing the material coefficients of the high-low energy attenuation projection data, more accurately reflecting the attenuation characteristics of materials under different energy X-rays, and providing strong support for subsequent three-dimensional reconstruction; performing three-dimensional reconstruction on the first and second basis material density integrals can more clearly display the density and composition information of different tissues inside the human oral cavity, generate images with high resolution and contrast, and improve the accuracy and efficiency of scanning imaging; combining the mass attenuation coefficients of the two basis materials at a specific energy level, performing image synthesis on the first basis material density image and the second basis material density image, a virtual monoenergetic attenuation image at the specific energy level can be obtained, and a more optimal filtration thickness can be set according to experience, which is beneficial to purifying the energy corresponding to the virtual monoenergetic attenuation image and can obtain better monoenergetic attenuation imaging quality without changing the inherent filtration of the dual-layer detector. For the specific limitations of an adaptive adjustment device for CT dual-layer scanning imaging, reference can be made to the limitations of an adaptive adjustment method for CT dual-layer scanning imaging described above, which will not be elaborated here. Each module in the above-mentioned adaptive adjustment device for CT dual-layer scanning imaging can be implemented in whole or in part by software, hardware, and their combination. The above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above-mentioned modules.

[0132] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in Figure 3 . The computer device includes a processor, a memory, a network interface, and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile and / or volatile storage media, and internal memory. The non-volatile storage media stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage media. The network interface of the computer device is used to communicate with an external client through a network connection. When the computer program is executed by the processor, it realizes the functions or steps on the server side of an adaptive adjustment method for CT dual-layer scanning imaging.

[0133] In one embodiment, a computer device is provided. The computer device may be a client, and its internal structure diagram may be as shown in Figure 4 . The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage media. The network interface of the computer device is used to communicate with an external server through a network connection. When the computer program is executed by the processor, it realizes the functions or steps on the client side of an adaptive adjustment method for CT dual-layer scanning imaging.

[0134] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented:

[0135] Obtain an object to be scanned, perform dual-layer detector scanning on the object to be scanned, and obtain high-energy raw data and low-energy raw data;

[0136] Perform adaptive data adjustment on the high-energy raw data according to the low-energy raw data to obtain adaptive high-energy attenuation data;

[0137] Perform projection domain material decomposition on the adaptive high-energy attenuation data and the low-energy raw data to obtain a first basis material density integral and a second basis material density integral;

[0138] Perform three-dimensional reconstruction on the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image;

[0139] Perform image synthesis on the first basis material density image and the second basis material density image to obtain the monoenergetic attenuation image of the object to be scanned.

[0140] In several embodiments provided by the present invention, it should be understood that the disclosed devices and apparatuses can be implemented in other ways. For example, the system embodiments described above are merely illustrative. For example, the division of the modules is only a logical function division, and there can be other division methods in actual implementation.

[0141] In addition, in each embodiment of the present invention, the functional modules can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware, or in the form of a combination of hardware and software functional modules.

[0142] Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be included in the present invention. Any associated drawing marks in the claims should not be regarded as limiting the claimed rights.

[0143] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and can be implemented in other specific forms without departing from the spirit or basic characteristics of the present invention.

[0144] In some embodiments of this embodiment, a computer-readable storage medium is provided, on which a computer program is stored, and characterized in that when the computer program is executed by a processor, the steps of the method described in the above embodiment are implemented.

[0145] The readable storage medium of the present invention stores a computer program, and when the computer program is executed by a processor of an electronic device, it can implement:

[0146] Acquire an object to be scanned, perform double-layer detector scanning on the object to be scanned to obtain high-energy raw data and low-energy raw data;

[0147] Perform adaptive data adjustment on the high-energy raw data according to the low-energy raw data to obtain adaptive high-energy attenuation data;

[0148] Perform projection domain material decomposition on the adaptive high-energy attenuation data and the low-energy raw data to obtain a first basis material density integral and a second basis material density integral;

[0149] Perform three-dimensional reconstruction on the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image;

[0150] Perform image synthesis on the first basis material density image and the second basis material density image to obtain a monoenergetic attenuation image of the object to be scanned.

[0151] It should be noted that for the functions or steps that can be achieved by the above computer-readable storage medium or computer device, reference can be made to the relevant descriptions on the server side and the client side in the foregoing method embodiments. To avoid repetition, they will not be described in detail here.

[0152] The computer-readable storage medium may also store at least one computer-executable program / instructions, and the computer-executable program / instructions are, for example, computer-readable instructions. The computer-readable storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The computer-readable storage medium may include, for example, read-only memory (ROM), hard disk, flash memory, etc. For example, the non-transitory computer-readable storage medium may be connected to a computing device such as a computer. Then, when the computing device runs the computer-readable instructions stored on the computer-readable storage medium, the various methods described above can be performed.

[0153] In addition, the computer device may also include (but is not limited to) a data bus, an input / output (I / O) bus, a display, and input / output devices (such as a keyboard, a mouse, a speaker, etc.).

[0154] The processor may communicate with external devices via the I / O bus through a wired or wireless network.

[0155] In one embodiment, the at least one computer-executable instruction may also be compiled into or form a software product / computer program product, and when one or more computer-executable instructions are run by the processor, the steps of the various functions and / or methods described in the embodiments of the present technology are executed.

[0156] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in this application can include non-volatile and / or volatile memories. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0157] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0158] In the embodiments provided in the present disclosure, it should be understood that the disclosed devices and methods can also be implemented in other ways. The device embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architectures, functions, and operations of devices, methods, and computer program products according to multiple embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code, and the above-mentioned module, program segment, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0159] It should be noted that in the present disclosure, the terms "include", "comprise", or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device including a series of elements not only includes those elements but also includes other elements not explicitly listed, or further includes elements inherent to such process, method, article, or device. Without further limitation, the element limited by the statement "including one..." does not exclude the existence of additional identical elements in the process, method, article, or device including the element.

[0160] The above-described embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements for some of the technical features. However, such modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention and should all be included in the protection scope of the present invention.

[0161] It should be noted that if non-company software tools or components appear in the embodiments of this application, they are only used for illustrative introduction and do not represent actual use.

Claims

1. A method for adaptively adjusting CT double-layer scanning imaging, characterized in that: The method comprises: Acquire an object to be scanned, and perform a double-layer detector scan on the object to be scanned to obtain high-energy raw data and low-energy raw data; Performing adaptive data adjustment on the high-energy original data according to the low-energy original data to obtain adaptive high-energy attenuation data; Performing projection domain material decomposition on the adaptive high-energy attenuation data and the low-energy original data to obtain a first basis material density integral and a second basis material density integral; Performing three-dimensional reconstruction on the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image; The first basis material density image and the second basis material density image are synthesized to obtain a monoenergetic attenuation image of the object to be scanned.

2. The method for adaptively adjusting CT double-layer scanning imaging according to claim 1, characterized in that: The performing of double-layer detector scanning on the object to be scanned to obtain high-energy raw data and low-energy raw data includes: Controlling a preset radiation source to emit radiation beams alternately to obtain a scanning area; When the object to be scanned passes through the scanning area, the upper detection layer of the preset double-layer detector is used to capture the signal of the object to be scanned to obtain a low-energy attenuation signal; Utilizing the middle filter layer of the double-layer detector to absorb the low-energy attenuation signal to obtain a high-energy attenuation signal; The low-energy attenuated signal and the high-energy attenuated signal are subjected to data conversion to obtain low-energy original data and high-energy original data.

3. The method for adaptively adjusting CT double-layer scanning imaging according to claim 1, characterized in that: The step of adaptively adjusting the high-energy original data according to the low-energy original data to obtain adaptive high-energy attenuation data includes: Obtaining the filtering thickness of the double-layer detector; Calculating a fitting coefficient for the high energy raw data according to the filtration thickness and the low energy raw data using a linear interpolation formula; The high-energy original data is adaptively adjusted according to the fitting coefficient and the low-energy original data to obtain adaptive high-energy attenuation data corresponding to the filtration thickness.

4. The method for adaptively adjusting CT double-layer scanning imaging according to claim 1, characterized in that: The performing projection domain material decomposition on the adaptive high-energy attenuation data and the low-energy original data to obtain a first basis material density integral and a second basis material density integral comprises: Performing projection transformation on the adaptive high-energy attenuation data and the low-energy original data to obtain a high-energy attenuation integral and a low-energy attenuation integral; Establishing a material decomposition mapping relationship between the high energy attenuation integral and the low energy attenuation integral and a preset first basis material density integral and a second basis material density integral according to the tube energy spectrum distribution curve; According to the material decomposition mapping relationship, the first basis material density integral and the second basis material density integral corresponding to the high energy attenuation integral and the low energy attenuation integral are searched.

5. The method for adaptively adjusting CT double-layer scanning imaging according to claim 4, characterized in that: The establishing of a material decomposition mapping relationship between the high energy attenuation integral and the low energy attenuation integral and a preset first basis material density integral and a preset second basis material density integral according to the tube energy spectrum distribution curve comprises: Obtaining a mass attenuation coefficient and a high-energy spectrum distribution curve and a low-energy spectrum distribution curve corresponding to a preset base material; Constructing a material decomposition equation group according to the mass attenuation coefficient and the high energy spectrum distribution curve and the low energy spectrum distribution curve; A material decomposition mapping relationship table between the high-energy attenuation integral and the low-energy attenuation integral and the preset first basis material density integral and the second basis material density integral is solved and constructed according to the material decomposition equation group.

6. The method for adaptively adjusting CT double-layer scanning imaging according to claim 1, characterized in that: The three-dimensional reconstruction of the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image comprises: Performing ramp filtering on the first basis material density integral and the second basis material density integral to obtain first basis material filtered data and second basis material filtered data; The first basis material filter data and the second basis material filter data are weighted back-projected to obtain a first basis material density image and a second basis material density image.

7. The method for adaptively adjusting CT double-layer scanning imaging according to claim 1, characterized in that: The step of synthesizing the first basis material density image and the second basis material density image to obtain the monoenergetic attenuation image of the object to be scanned includes: Obtaining the mass attenuation coefficient corresponding to the preset base material; The first basis material density image and the second basis material density image are spliced ​​according to the mass attenuation coefficient to obtain a monoenergetic attenuation image of the object to be scanned.

8. An adaptive adjustment device for CT double-layer scanning imaging, characterized in that: The device comprises: A data scanning module is used to acquire an object to be scanned, perform a double-layer detector scan on the object to be scanned, and obtain high-energy raw data and low-energy raw data; A data adjustment module, used for performing adaptive data adjustment on the high-energy original data according to the low-energy original data to obtain adaptive high-energy attenuation data; A material decomposition module, used for performing projection domain material decomposition on the adaptive high-energy attenuation data and the low-energy original data to obtain a first basis material density integral and a second basis material density integral; A three-dimensional reconstruction module, used for performing three-dimensional reconstruction on the first basis material density integral and the second basis material density integral to obtain a first basis material density image and a second basis material density image; An image synthesis module is used to synthesize the first basis material density image and the second basis material density image to obtain a monoenergetic attenuation image of the object to be scanned.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the adaptive adjustment method for CT double-layer scanning imaging as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the adaptive adjustment method for CT double-layer scanning imaging as described in any one of claims 1 to 7 is implemented.

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