Image reconstruction method, device and computer storage medium

Abstract

The application discloses an image reconstruction method, device and computer storage medium. The image reconstruction method comprises the following steps: acquiring a first image and a second image scanned by a target region (101); determining a first decomposition image of a first element and a second decomposition image of a second element in the target region according to the first image and the second image (102); and performing weighted summation on the first decomposition image and the second decomposition image respectively by using a first weight set corresponding to the first element and a second weight set corresponding to the second element to obtain a reconstructed image (103). Because the images obtained under two kinds of energy are used to decompose different elements, and the decomposition images of the respective elements are subjected to weighted summation, different elements are displayed more clearly, and the image quality is improved.

Description

Technical Field

[0001] This application relates to the field of image processing technology, and in particular to an image reconstruction method, apparatus, and computer storage medium. Background Technology

[0002] Computed tomography (CT) equipment scans the body for doctors to observe. To improve the efficiency of doctors' image interpretation and diagnosis, the same object can be scanned at different energies. The CT reconstructed images from the two sets of energies are usually fused into a single image using a certain ratio, making the display clearer and easier to observe.

[0003] In related technologies, linear mixing, nonlinear mixing, and Gaussian mixing are used to mix images obtained from two different energy levels. However, in the process of achieving the above image reconstruction, directly mixing images obtained from two different energy levels usually results in the presence of beam hardening artifacts, which affects image quality. Summary of the Invention

[0004] In view of this, one of the technical problems solved by the embodiments of the present invention is to provide an image reconstruction method, apparatus and computer storage medium to overcome the defect of poor image quality caused by beam hardening artifacts in the prior art.

[0005] In a first aspect, embodiments of this application provide an image reconstruction method, comprising:

[0006] A first image and a second image obtained by scanning the target region are acquired. The first image and the second image are generated based on different ray energies. A first decomposition image of the first element and a second decomposition image of the second element in the target region are determined based on the first image and the second image. The first decomposition image and the second decomposition image are weighted and summed using the first weight set corresponding to the first element and the second weight set corresponding to the second element, respectively, to obtain the reconstructed image.

[0007] Optionally, in one embodiment of this application, determining a first decomposed image of a first element and a second decomposed image of a second element in a target region based on a first image and a second image includes:

[0008] Based on the first image and the second image, in the target region, the decomposed pixel value of the first element and the decomposed pixel value of the second element contained in each pixel are calculated; based on the decomposed pixel value of the first element and the decomposed pixel value of the second element of each pixel, the first decomposed image and the second decomposed image are obtained.

[0009] Optionally, in one embodiment of this application, the method further includes: determining at least two distribution bands based on the distribution of the decomposed pixel values ​​of the first element; determining the weight of each distribution band, and obtaining a first weight set.

[0010] Optionally, in one embodiment of this application, the smaller the decomposed pixel value of the first element, the smaller the weight of the corresponding distribution band; and the larger the decomposed pixel value of the first element, the larger the weight of the corresponding distribution band.

[0011] Optionally, in one embodiment of this application, the reconstructed image is obtained by weighted summation of the first decomposed image and the second decomposed image using the first weight set corresponding to the first element and the second weight set corresponding to the second element, respectively, including:

[0012] In the first decomposed image, the decomposed pixel value of the first element of each pixel is multiplied by the corresponding weight in the first weight set to obtain the first image to be fused of the first element; in the second decomposed image, the decomposed pixel value of the second element of each pixel is multiplied by the corresponding weight in the second weight set to obtain the second image to be fused of the second element; the pixel values ​​at corresponding positions of the first image to be fused and the second image to be fused are added to obtain the reconstructed image.

[0013] Optionally, in one embodiment of this application, acquiring a first image and a second image obtained by scanning the target area includes:

[0014] A first image is obtained by scanning the target area using a first radiation source at a first energy, and a second image is obtained by scanning the target area using a second radiation source at a second energy. The first energy and the second energy are different.

[0015] Optionally, in one embodiment of this application, acquiring a first image and a second image obtained by scanning the target area includes:

[0016] A first image is obtained by receiving the X-rays scanning the target area using a first detector, and a second image is obtained by receiving the X-rays scanning the target area using a second detector.

[0017] Optionally, in one embodiment of this application, obtaining a first image and a second image obtained by scanning a target area includes: receiving the rays scanning the target area using a multi-layer flat panel detector, and obtaining the first image and the second image respectively through two of the flat panels.

[0018] Optionally, in one embodiment of this application, the first element is water material and the second element is bone material.

[0019] Secondly, embodiments of this application provide an image reconstruction apparatus, including: an acquisition module, a decomposition module, and a reconstruction module;

[0020] The acquisition module is used to acquire a first image and a second image obtained by scanning the target area. The first image and the second image are generated based on different ray energies.

[0021] The decomposition module is used to determine a first decomposed image of a first element and a second decomposed image of a second element in a target region based on a first image and a second image.

[0022] The reconstruction module is used to perform weighted summation on the first decomposed image and the second decomposed image respectively using the first weight set corresponding to the first element and the second weight set corresponding to the second element to obtain the reconstructed image.

[0023] Thirdly, embodiments of this application provide a computer storage medium storing a computer program, which, when executed by a processor, implements the image reconstruction method as described in the first aspect.

[0024] Fourthly, embodiments of this application provide an image reconstruction apparatus, comprising: a processor, an imaging source, a multi-layer flat panel detector, and a rack; the imaging source and the multi-layer flat panel detector are mounted on the rack; the processor is used to execute a pre-stored computer program to implement the image reconstruction method as described in the first aspect.

[0025] Fifthly, embodiments of this application provide a radiotherapy device, comprising: a processor, an imaging source, a multi-panel flat panel detector, a gantry, a treatment source, and a treatment bed; the imaging source, the multi-panel flat panel detector, and the treatment source are disposed on the gantry; the processor is used to execute a pre-stored computer program to implement the image reconstruction method as claimed in any one of claims 1-9.

[0026] The image reconstruction method, apparatus, and computer storage medium provided in this application acquire a first image and a second image obtained by scanning a target region; determine a first decomposed image of a first element and a second decomposed image of a second element in the target region based on the first image and the second image; and obtain a reconstructed image by weighted summation of the first decomposed image and the second decomposed image using a first weight set corresponding to the first element and a second weight set corresponding to the second element, respectively. Because different elements are decomposed based on images obtained under two energy levels, and the decomposed images of each element are weighted and summed, different elements are displayed more clearly, improving image quality. Attached Figure Description

[0027] The following sections will describe some specific embodiments of the present application in a detailed manner, by way of example and not limitation, with reference to the accompanying drawings. The same reference numerals in the drawings denote the same or similar parts or components. Those skilled in the art should understand that these drawings are not necessarily drawn to scale. In the drawings:

[0028] Figure 1 A flowchart of an image reconstruction method provided in Embodiment 1 of this application;

[0029] Figure 2 A flowchart of an image reconstruction method provided in Embodiment 2 of this application;

[0030] Figure 3 This is a schematic diagram of a reconstructed image effect provided in Embodiment 2 of this application;

[0031] Figure 4 This is a structural diagram of an image reconstruction apparatus provided in Embodiment 3 of this application;

[0032] Figure 5 This is a structural diagram of another image reconstruction apparatus provided in Embodiment 3 of this application;

[0033] Figure 6 This is a structural diagram of an image reconstruction apparatus provided in Embodiment 4 of this application;

[0034] Figure 7 This is a structural diagram of a radiotherapy device provided in Embodiment 5 of this application. Detailed Implementation

[0035] The specific implementation of the embodiments of the present invention will be further described below with reference to the accompanying drawings.

[0036] Example 1

[0037] Embodiment 1 of this application provides an image reconstruction method, such as... Figure 1 As shown, Figure 1 A flowchart illustrating an image reconstruction method provided in an embodiment of this application. The image reconstruction method includes the following steps:

[0038] 101. Obtain the first and second images obtained by scanning the target area.

[0039] It should be noted that the first image and the second image are generated based on different ray energies. The image reconstruction method provided in this application can be applied to ray imaging, where the ray can be X-rays or mixed light rays (such as white light rays). The target area is the area where the target object is imaged and displayed. For example, if the target object is a human body, and X-rays are used to image the chest of the human body, then the target area is the chest of the human body; or, if the target object is a human body, and natural light is used to image the face, then the target area is the face. Of course, this is only an illustrative example and does not mean that this application is limited to this.

[0040] Here, four specific examples are given to illustrate the imaging methods of the first and second images:

[0041] Optionally, in the first example, different X-ray sources are used to generate X-rays of different energies to acquire a first image and a second image obtained by scanning the target area, including:

[0042] A first image is obtained by scanning the target area using a first radiation source at a first energy, and a second image is obtained by scanning the target area using a second radiation source at a second energy. The first energy and the second energy are different. In the first example, there are two radiation sources emitting radiation of different energies. The first radiation source emits radiation of the first energy, and the second radiation source emits radiation of the second energy. The target area is scanned using the two radiation sources respectively to obtain the first image and the second image.

[0043] Optionally, in the second example, different detectors are used to receive rays of different energies to obtain a first image and a second image obtained by scanning the target area, including:

[0044] A first image is obtained by receiving X-rays scanning the target area using a first detector, and a second image is obtained by receiving X-rays scanning the target area using a second detector. In the second example, the same X-ray source can be used to image the target area using different detectors. The two detectors (i.e., the first detector and the second detector) receive X-rays with different energies, thus forming a first image and a second image with different energies.

[0045] Optionally, in the third example, a multi-layer flat panel detector is used to receive X-rays for imaging, acquiring a first image and a second image obtained by scanning the target area. This includes: receiving X-rays scanning the target area using a multi-layer flat panel detector, and obtaining the first image and the second image respectively through two of the flat panels. For example, the multi-layer flat panel detector can be a double-layer flat panel detector. The X-ray source emits X-rays from top to bottom. The first detector can be positioned above the second detector. After the X-rays pass through the target area, they are imaged on the first detector. The first detector absorbs a portion of the X-rays, while the unabsorbed X-rays continue downwards to the second detector, where they are imaged. During the X-ray emission process, the two panels of the double-layer flat panel detector can simultaneously generate the first image and the second image. The first panel can be an 80KV panel, and the second panel can be a 140KV panel; however, this is merely an illustrative example.

[0046] Optionally, in the fourth example, acquiring a first image and a second image obtained by scanning the target area includes: setting a first voltage to the radiation source, and using the radiation emitted by the radiation source under the first voltage to image the target area to obtain the first image; setting a second voltage to the radiation source, and using the radiation emitted by the radiation source under the second voltage to image the target area to obtain the second image. Different voltages can cause the radiation source to emit radiation of different energies, eliminating the need for two radiation sources or two detectors, thus simplifying the device construction.

[0047] 102. Determine the first decomposed image of the first element and the second decomposed image of the second element in the target region based on the first image and the second image.

[0048] Optionally, in one embodiment of this application, determining a first decomposed image of a first element and a second decomposed image of a second element in a target region based on a first image and a second image includes:

[0049] Based on the first image and the second image, in the target region, the decomposed pixel value of the first element and the decomposed pixel value of the second element contained in each pixel are calculated; based on the decomposed pixel value of the first element and the decomposed pixel value of the second element of each pixel, the first decomposed image and the second decomposed image are obtained.

[0050] It should be noted that the first and second decomposed images can be obtained using a statistical iterative reconstruction algorithm. The first decomposed image may include the decomposed pixel value of the first element in each pixel, or the decomposition coefficient, energy density, or image density of the first element in each pixel. This application does not limit the name of the decomposed pixel value of the first element. The decomposed pixel value of the first element in a pixel is used to indicate the pixel component of the first element decomposed in that pixel. Similarly, the decomposed pixel value of the second element is used to indicate the pixel component of the second element decomposed in that pixel. For example, in one embodiment of this application, the first element may be water material, and the second element may be bone material. Both the first and second images can be regarded as the result of the synthesis of pixels of water material and / or pixels of bone material. That is, each pixel in the first and second images is the result of the synthesis of pixels of water material and / or pixels of bone material. Each pixel is decomposed to obtain the pixel components of water material and the pixel components of bone material, respectively. Of course, this is only an illustrative example and does not mean that this application is limited thereto.

[0051] 103. Using the first weight set corresponding to the first element and the second weight set corresponding to the second element, the first decomposed image and the second decomposed image are weighted and summed respectively to obtain the reconstructed image.

[0052] Optionally, in one embodiment of this application, the reconstructed image is obtained by weighted summation of the first decomposed image and the second decomposed image using the first weight set corresponding to the first element and the second weight set corresponding to the second element, respectively, including:

[0053] In the first decomposed image, the decomposed pixel value of the first element of each pixel is multiplied by the corresponding weight in the first weight set to obtain the first image to be fused of the first element; in the second decomposed image, the decomposed pixel value of the second element of each pixel is multiplied by the corresponding weight in the second weight set to obtain the second image to be fused of the second element; the pixel values ​​at corresponding positions of the first image to be fused and the second image to be fused are added to obtain the reconstructed image.

[0054] The first weight set may include at least one weight, and the second weight set may also include at least one weight. It should be noted that each pixel in the first decomposed image corresponds to a weight in the first weight set, and each pixel in the second decomposed image corresponds to a weight in the second weight set. Based on the correspondence between weights and pixels, the pixel value of each pixel in the first decomposed image can be multiplied by its corresponding weight to obtain the first image to be fused and the second image to be fused. The pixel values ​​at corresponding positions in the first image to be fused and the second image to be fused are then added to obtain the reconstructed image.

[0055] It should be noted that the weights in the first weight set and the second weight set can be set according to the decomposed pixel values ​​of the first element and the second element, respectively. For example, in one embodiment of this application, the method further includes: determining at least two distribution bands based on the distribution of the decomposed pixel values ​​of the first element; determining the weight of each distribution band, and obtaining the first weight set. A histogram can be generated based on the decomposed pixel values ​​of the first element, and at least one distribution band can be determined based on the distribution of the decomposed pixel values ​​of the first element in the histogram. Optionally, the smaller the decomposed pixel value of the first element, the smaller the weight of the corresponding distribution band; the larger the decomposed pixel value of the first element, the larger the weight of the corresponding distribution band. After weighting, the comparison of the decomposed pixel values ​​of the first element becomes more obvious and easier to observe. Of course, the second weight set corresponding to the second element can also be set with weights in the same way as the first weight set; this is merely an illustrative example and does not represent a limitation of this application.

[0056] Combining steps 101-103, since the pixel components of different elements are decomposed based on the first and second images, and weighted summation is performed on different elements and different pixels within the same element, the contrast between different pixels in the image can be made more obvious and easier to observe.

[0057] The image reconstruction method, apparatus, and computer storage medium provided in this application acquire a first image and a second image obtained by scanning a target region; determine a first decomposed image of a first element and a second decomposed image of a second element in the target region based on the first image and the second image; and obtain a reconstructed image by weighted summation of the first decomposed image and the second decomposed image using a first weight set corresponding to the first element and a second weight set corresponding to the second element, respectively. Because different elements are decomposed based on images obtained under two energy levels, and the decomposed images of each element are weighted and summed, different elements are displayed more clearly, improving image quality.

[0058] Example 2

[0059] Based on the image reconstruction method provided in Embodiment 1 of this application, Embodiment 2 of this application provides an image reconstruction method, further illustrating the image reconstruction method described in Embodiment 1. This embodiment takes CT image reconstruction as an example, and the image reconstruction method provided in this embodiment includes the following steps:

[0060] Step 201: Scan the target area under the first energy and the second energy respectively to obtain the first image and the second image.

[0061] In this embodiment, the first image and the second image are CT projection images obtained by scanning the target area of ​​the target object under the first energy and the second energy, respectively.

[0062] Step 202: Based on the first image and the second image, obtain the water material decomposition image and the bone material decomposition image using a statistical iterative reconstruction algorithm.

[0063] In this embodiment, the first element is water material, the second element is bone material, the first decomposition image is a decomposition image of water material, and the second decomposition image is a decomposition image of bone material.

[0064] Step 203: Perform histogram statistics on the water material decomposition image to obtain at least one distribution band of the water material decomposition image.

[0065] Step 204: Multiply the decomposed pixel value of the first element of each pixel in the first decomposed image by the corresponding weight in the first weight set to obtain the first image to be fused for the first element.

[0066] For example, using f w The image represents the decomposition of water materials, f b This represents a decomposed image of bone material, with a possible number of distribution bands (3). The decomposed pixel values ​​of water material in the decomposed image (i.e., the decomposed pixel values ​​of the first element) are within [B... min B max Between, B minB represents the minimum value of the decomposed pixel value of the water material in the water material decomposition image. max This represents the maximum value of the decomposed pixel values ​​of the water material in the water material decomposition image. The three distribution bands can include: the first distribution band [B...]. min B min +(B max -B min ) / 3), Second distribution zone [B min +(B max -B min ) / 3,B min +2(B max -B min ) / 3), the third distribution zone [B min +2(B max -B min ) / 3,B max ], about to [B min B max The data is evenly divided into three distribution zones. The weight of the first distribution zone is μ. w (ε high ), representing the linear decay coefficient at higher energies. This decay coefficient has a lower numerical value, and the weight of the first distribution band is μ. w (ε mid ), representing the linear decay coefficient at the intermediate energy, with the weight of the third distribution band being μ. w (ε low ), representing the linear decay coefficient at lower energies, where the decay coefficient is relatively high, and μ w (ε low )>μ w (ε mid )>μ w (ε high The pixel values ​​in the first image to be fused can be calculated using Formula 1, as follows:

[0067]

[0068] in, f represents the pixel value of the j-th pixel in the first image to be fused. wj μ represents the pixel value of the j-th pixel in the water material decomposition image. w (ε) represents the weight under energy ε in the first weight set, or the linear decay coefficient under energy ε.

[0069] Following step 202, the method further includes step 205:

[0070] Step 205: Multiply the decomposed pixel value of the second element of each pixel in the second decomposed image with the corresponding weight in the second weight set to obtain the second image to be fused.

[0071] In this embodiment, the second decomposed image is the bone material decomposed image. The pixel values ​​in the second image to be fused can be calculated using Formula 2, which is as follows:

[0072]

[0073] in, f represents the pixel value of the j-th pixel in the second image to be fused. bj μ represents the pixel value of the j-th pixel in the bone material decomposition image. b (ε) represents the weight under energy ε in the second weight set, or the linear decay coefficient under energy ε. In this embodiment, the second weight set may contain a weight, that is, the pixel value of each pixel in the bone material decomposition image is multiplied by the same weight.

[0074] Following steps 204 and 205, the method further includes step 206:

[0075] Step 206: Add the pixel values ​​at corresponding positions of the first image to be fused and the second image to be fused to obtain the reconstructed image.

[0076] For example, combining the descriptions in steps 204 and 205, the pixel value of each pixel in the reconstructed image can be calculated according to Formula 3, which is as follows:

[0077]

[0078] in, This represents the pixel value of the j-th pixel in the reconstructed image.

[0079] Based on the descriptions of steps 201-206, refer to Figure 3 As shown, Figure 3 This is a schematic diagram of a reconstructed image effect provided in Embodiment 2 of this application. Figure 3 In the diagram, image a represents the first image obtained at 80 kV, image b represents the second image obtained at 140 kV, image c represents the mixed image obtained after linearly mixing the first and second images, image d represents the water material decomposition image, image e represents the bone material decomposition image, and image f represents the reconstructed image obtained after weighted summation according to steps 203-206. Comparing images f and c, it can be observed that image f, due to material decomposition and weighting according to different elements, results in a clearer reconstructed image.

[0080] The image reconstruction method provided in this application involves acquiring a first image and a second image obtained by scanning a target region; determining a first decomposed image of a first element and a second decomposed image of a second element in the target region based on the first and second images; and weighting and summing the first and second decomposed images using a first weight set corresponding to the first element and a second weight set corresponding to the second element to obtain a reconstructed image. Because different elements are decomposed based on images obtained under two energy levels, and the decomposed images of each element are weighted and summed, the different elements are displayed more clearly, improving image quality.

[0081] Example 3

[0082] Based on the image reconstruction methods provided in Embodiments 1 and 2 of this application, this application provides an image reconstruction apparatus for performing the image reconstruction methods described in Embodiments 1 and 2 above, with reference to... Figure 4 As shown, the image reconstruction device 40 includes: an acquisition module 401, a decomposition module 402, and a reconstruction module 403;

[0083] The acquisition module 401 is used to acquire a first image and a second image obtained by scanning the target area. The first image and the second image are generated based on different ray energies.

[0084] Decomposition module 402 is used to determine a first decomposed image of a first element and a second decomposed image of a second element in a target region based on a first image and a second image;

[0085] The reconstruction module 403 is used to perform weighted summation on the first decomposed image and the second decomposed image respectively using the first weight set corresponding to the first element and the second weight set corresponding to the second element to obtain the reconstructed image.

[0086] Optionally, in one embodiment of this application, the decomposition module 402 is used to calculate, in the target area, the decomposed pixel value of the first element and the decomposed pixel value of the second element contained in each pixel according to the first image and the second image; and to obtain the first decomposed image and the second decomposed image according to the decomposed pixel value of the first element and the decomposed pixel value of the second element of each pixel.

[0087] Optionally, in one embodiment of this application, such as Figure 5 As shown, the image reconstruction apparatus 40 further includes a weight module 404, which is used to determine at least two distribution bands based on the distribution of the decomposed pixel values ​​of the first element; determine the weight of each distribution band, and obtain a first weight set.

[0088] Optionally, in one embodiment of this application, the smaller the decomposed pixel value of the first element, the smaller the weight of the corresponding distribution band; and the larger the decomposed pixel value of the first element, the larger the weight of the corresponding distribution band.

[0089] Optionally, in one embodiment of this application, the reconstruction module 403 is used to multiply the decomposed pixel value of the first element of each pixel in the first decomposed image with the corresponding weight in the first weight set to obtain a first image to be fused of the first element; multiply the decomposed pixel value of the second element of each pixel in the second decomposed image with the corresponding weight in the second weight set to obtain a second image to be fused of the second element; and add the pixel values ​​at corresponding positions of the first image to be fused and the second image to be fused to obtain a reconstructed image.

[0090] Optionally, in one embodiment of this application, the acquisition module 401 is used to scan the target area using a first radiation source at a first energy to obtain a first image, and to scan the target area using a second radiation source at a second energy to obtain a second image, wherein the first energy and the second energy are different.

[0091] Optionally, in one embodiment of this application, the acquisition module 401 is used to obtain a first image by receiving rays scanning the target area using a first detector, and to obtain a second image by receiving rays scanning the target area using a second detector.

[0092] Optionally, in one embodiment of this application, the acquisition module 401 is used to receive the rays scanning the target area using a multi-layer flat panel detector, and obtain a first image and a second image through two of the flat panels respectively.

[0093] Optionally, in one embodiment of this application, the first element is water material and the second element is bone material.

[0094] The image reconstruction method apparatus provided in this application acquires a first image and a second image obtained by scanning a target region; determines a first decomposed image of a first element and a second decomposed image of a second element in the target region based on the first image and the second image; and obtains a reconstructed image by weighted summation of the first decomposed image and the second decomposed image using a first weight set corresponding to the first element and a second weight set corresponding to the second element, respectively. Because different elements are decomposed based on images obtained under two energy levels, and the decomposed images of each element are weighted and summed, the different elements are displayed more clearly, improving image quality.

[0095] Example 4

[0096] Based on the image reconstruction methods provided in Embodiments 1 and 2 of this application, Embodiment 4 of this application provides an image reconstruction apparatus for performing the image reconstruction methods described in Embodiments 1 and 2 above, such as... Figure 6 As shown, the image reconstruction apparatus 60 includes: a processor 601, an imaging source 602, a multi-layer flat panel detector 603, and a frame 604; the imaging source 602 and the multi-layer flat panel detector 603 are mounted on the frame; the processor is used to execute a pre-stored computer program to implement the image reconstruction method described in Embodiments 1 and 2.

[0097] Specifically, the imaging source 602 is used to emit rays to the multi-layer flat panel detector 603; the multi-layer flat panel detector is used to receive the rays emitted by the imaging source 602 and generate a first image and a second image, and transmit the first image and the second image to the processor.

[0098] The processor 601 is used to acquire a first image and a second image obtained by scanning a target region, the first image and the second image being generated based on different ray energies; to determine a first decomposition image of a first element and a second decomposition image of a second element in the target region based on the first image and the second image; and to obtain a reconstructed image by weighted summation of the first decomposition image and the second decomposition image using the first weight set corresponding to the first element and the second weight set corresponding to the second element, respectively.

[0099] Processor 602 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The electronic device may include one or more processors of the same type, such as one or more CPUs; or it may include processors of different types, such as one or more CPUs and one or more ASICs.

[0100] Example 5

[0101] Based on the image reconstruction methods provided in Embodiments 1 and 2 of this application, Embodiment 5 of this application provides a radiotherapy device for performing the image reconstruction methods described in Embodiments 1 and 2 above, such as... Figure 7 As shown, the radiotherapy device 70 includes: a processor 701, an imaging source 702, a multi-panel flat panel detector 703, a gantry 704, a treatment source 705, and a treatment bed 705; the imaging source 702, the multi-panel flat panel detector 703, and the treatment source 705 are disposed on the gantry; the processor 701 is used to execute a pre-stored computer program to implement the image reconstruction method described in Embodiments 1 and 2.

[0102] Specifically, the imaging source 702 is used to emit rays to the multi-layer flat panel detector 703; the multi-layer flat panel detector is used to receive the rays emitted by the imaging source 702 and generate a first image and a second image, and transmit the first image and the second image to the processor.

[0103] The processor 701 is used to acquire a first image and a second image obtained by scanning a target region, the first image and the second image being generated based on different ray energies; to determine a first decomposition image of a first element and a second decomposition image of a second element in the target region based on the first image and the second image; and to obtain a reconstructed image by weighted summation of the first decomposition image and the second decomposition image using the first weight set corresponding to the first element and the second weight set corresponding to the second element, respectively.

[0104] Treatment source 705 is used to treat the target area; treatment bed 706 is used to accommodate the patient.

[0105] It should be noted that rack 704 can be Figure 7 The C-shaped arm frame mentioned above can also be a roller frame; no specific limitation is made on the frame type here.

[0106] Example 6

[0107] Based on the image reconstruction methods provided in Embodiments 1 and 2 of this application, this application provides a computer storage medium storing a computer program. When the processor executes the computer program, the image reconstruction method as described in Embodiments 1 and 2 is implemented.

[0108] Computer storage media, including both permanent and non-permanent, removable and non-removable media, can store information using any method or technology. Information can be computer-readable instructions, data structures, program modules, 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 technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer storage media does not include transient media, such as modulated data signals and carrier waves.

[0109] The computer storage medium provided in this application embodiment acquires a first image and a second image obtained by scanning a target area; determines a first decomposed image of a first element and a second decomposed image of a second element in the target area based on the first image and the second image; and obtains a reconstructed image by weighted summation of the first decomposed image and the second decomposed image using a first weight set corresponding to the first element and a second weight set corresponding to the second element, respectively. Because different elements are decomposed based on images obtained under two energy levels, and the decomposed images of each element are weighted and summed, the different elements are displayed more clearly, improving image quality.

[0110] Specific embodiments of the subject matter have now been described. Other embodiments are within the scope of the appended claims. In some cases, the actions described in the claims can be performed in a different order and still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require a specific or sequential order to achieve the desired result. In some embodiments, multitasking and parallel processing can be advantageous.

[0111] Those skilled in the art will understand that embodiments of this application can be provided as methods, apparatus, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0112] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0113] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0114] This application can be described in the general context of computer-executable instructions, such as program modules, that are executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform specific transactions or implement specific abstract data types. This application can also be practiced in distributed computing environments where transactions are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0115] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0116] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A method of image reconstruction, characterized by, The method comprises the following steps: obtaining a first image and a second image scanned by a target region, wherein the first image and the second image are generated based on different ray energies; wherein a first element is water material and a second element is bone material; determining a first decomposition image of the first element and a second decomposition image of the second element in the target region according to the first image and the second image; performing weighted summation on the first decomposition image and the second decomposition image respectively by using a first weight set corresponding to the first element and a second weight set corresponding to the second element to obtain a reconstructed image; wherein the first weight set is obtained by the following method: generating a histogram according to the decomposition pixel value of the first element, determining at least two distribution bands according to the distribution of the decomposition pixel value of the first element in the histogram; determining the weight of each distribution band under different ray energies, and obtaining the first weight set; wherein the smaller the decomposition pixel value of the first element is, the smaller the weight of the corresponding distribution band is, and the larger the decomposition pixel value of the first element is, the larger the weight of the corresponding distribution band is; the second weight set comprises a weight under a ray energy; the method of performing weighted summation on the first decomposition image and the second decomposition image respectively by using a first weight set corresponding to the first element and a second weight set corresponding to the second element to obtain a reconstructed image comprises: multiplying the decomposition pixel value of the first element of each pixel in the first decomposition image by the corresponding weight in the first weight set to obtain a first to-be-fused image of the first element; multiplying the decomposition pixel value of the second element of each pixel in the second decomposition image by the corresponding weight in the second weight set to obtain a second to-be-fused image of the second element; adding the pixel values of the corresponding positions of the first to-be-fused image and the second to-be-fused image to obtain the reconstructed image.

2. The method of claim 1, wherein, The method of determining a first decomposition image of the first element and a second decomposition image of the second element in the target region according to the first image and the second image comprises: calculating the decomposition pixel value of the first element and the decomposition pixel value of the second element contained by each pixel in the target region according to the first image and the second image; obtaining the first decomposition image and the second decomposition image according to the decomposition pixel value of the first element and the decomposition pixel value of the second element of each pixel.

3. The method of claim 1, wherein, The method of obtaining a first image and a second image scanned by a target region comprises: scanning the target region by using a first ray source under a first energy to obtain the first image, and scanning the target region by using a second ray source under a second energy to obtain the second image, wherein the first energy and the second energy are different.

4. The method of claim 1, wherein, The method of obtaining a first image and a second image scanned by a target region comprises: receiving rays scanned on the target region by using a first detector to obtain the first image, and receiving rays scanned on the target region by using a second detector to obtain the second image.

5. The method of claim 1, wherein, The first image and the second image scanned by the target region are obtained, including: The first image and the second image are obtained by receiving the rays scanned by the target region through two layers of flat panels.

6. The method according to any one of claims 1 to 5, characterized in that, The first element is water material, and the second element is bone material.

7. An image reconstruction apparatus, characterized by comprising: It comprises: An acquisition module, a decomposition module and a reconstruction module; The acquisition module is configured to obtain a first image and a second image scanned by a target region, the first image and the second image being generated based on different ray energies; wherein the first element is water material, and the second element is bone material. The decomposition module is configured to determine a first decomposition image of the first element and a second decomposition image of the second element in the target region according to the first image and the second image. The reconstruction module is configured to perform weighted summation on the first decomposition image and the second decomposition image respectively by using a first weight set corresponding to the first element and a second weight set corresponding to the second element to obtain a reconstructed image, the first weight set being obtained by: generating a histogram according to the decomposition pixel value of the first element, determining at least two distribution bands according to the distribution of the decomposition pixel value of the first element in the histogram, determining the weight of each distribution band under different ray energies and obtaining the first weight set; wherein the smaller the decomposition pixel value of the first element is, the smaller the weight of the corresponding distribution band is, and the larger the decomposition pixel value of the first element is, the larger the weight of the corresponding distribution band is; the second weight set comprises a weight under a ray energy. The reconstruction module is configured to perform weighted summation on the first decomposition image and the second decomposition image respectively by using a first weight set corresponding to the first element and a second weight set corresponding to the second element to obtain a reconstructed image, including: multiplying the decomposition pixel value of the first element of each pixel in the first decomposition image by the corresponding weight in the first weight set to obtain a first to-be-fused image of the first element; multiplying the decomposition pixel value of the second element of each pixel in the second decomposition image by the corresponding weight in the second weight set to obtain a second to-be-fused image of the second element; and adding the pixel values of the corresponding positions of the first to-be-fused image and the second to-be-fused image to obtain the reconstructed image.

8. A computer storage medium, characterized in that The computer storage medium stores a computer program, and when the processor executes the computer program, the image reconstruction method of any one of claims 1-6 is realized.

9. An image reconstruction apparatus, characterized by comprising: It comprises: A processor, an imaging source, a multi-layer flat panel detector, a rack; The imaging source and the multi-layer flat panel detector are arranged on the rack; The processor is configured to execute a pre-stored computer program to realize the image reconstruction method of any one of claims 1-6.

10. A radiotherapy device, characterized in that, It comprises: A processor, an imaging source, a multi-layer flat panel detector, a rack, a treatment source and a treatment bed; The imaging source, the multi-layer flat panel detector and the therapy source are arranged on the gantry; and the processor is configured to execute a pre-stored computer program to implement the image reconstruction method according to any one of claims 1-6.

Images