Method and device for determining CT sampling angle, storage medium and electronic equipment

Abstract

The application discloses a CT sampling angle determination method and device, a storage medium and an electronic device. The method comprises the following steps: acquiring a region of interest; determining a target sparsity corresponding to each sampling angle according to scanning influence information of the region of interest under the sampling angle, and adjusting a sampling density under the sampling angle according to the target sparsity to obtain a determined target sampling angle. The method of the application reduces the overall radiation dose of the object while ensuring the image quality, and solves the problems caused by uniform sampling in the prior art.

Description

Technical Field

[0001] The present application relates to the field of CT scanning technology, and in particular to a method, device, storage medium and electronic device for determining a CT sampling angle. Background Art

[0002] Existing CT scanning methods usually use sparse angle sampling to reduce the radiation dose received by patients. This method reduces the radiation dose received by the object by reducing the number of sampling angles within a circle at the same location, while speeding up data acquisition.

[0003] Most existing sparse scanning methods use a uniform sampling method, that is, sampling is performed once or multiple times at the same angle, so that the dose level of the entire scanning section is uniform. However, when it comes to factors such as attenuation, organ protection, and organ eccentricity, this uniform sparse sampling method is often not optimal. For example, when scanning some important and fragile organs, such as the eyes and female breasts, it is hoped to minimize the radiation level to protect these organs. However, during uniform scanning, these areas may be closer to the tube at certain angles due to eccentricity and receive more radiation. Or when the attenuation is different at different sampling angles, uniform angle sampling may cause problems such as uneven noise levels in different parts of the image. Summary of the Invention

[0004] In view of this, the present application provides a method, device, medium and equipment for determining CT sampling angles, which automatically adjust the density of distributed sampling angles, reduce the overall radiation dose to the object while ensuring image quality, and solve the problems caused by uniform sampling in the prior art.

[0005] According to one aspect of the present application, a method for determining a CT sampling angle is provided, comprising:

[0006] Pre-scanning the scan object to obtain pre-scan data;

[0007] Get the region of interest;

[0008] According to the scanning impact information of the region of interest at each sampling angle, the target sparsity corresponding to the sampling angle is determined, and the sampling density at the sampling angle is adjusted according to the target sparsity to obtain the target sampling angle.

[0009] Optionally, the scanning impact information is one or more;

[0010] The determining, based on the scanning impact information of the region of interest at each sampling angle, the target sparsity of the sampling angle specifically includes:

[0011] determining a sparse coefficient corresponding to each of the scan influence information, and determining a target sparsity according to a basic sparsity and the sparse coefficient, wherein the basic sparsity is a default sparsity of a sampling process.

[0012] Optionally, the determining of the target sparsity according to the preset basic sparsity and the sparse coefficient specifically comprises:

[0013] the target sparsity is wherein f i is the sparse coefficient corresponding to the i-th scan influence information, p base is the basic sparsity.

[0014] Optionally, the obtaining of the region of interest specifically comprises:

[0015] performing pre-scanning on the scan object to obtain pre-scanning data, wherein the pre-scanning is a plain film scanning or an ultra-low dose scanning;

[0016] determining the region of interest of the scan object according to the pre-scanning data and basic scanning information of the scan object.

[0017] Optionally, before the determining of the sparse coefficient corresponding to each of the scan influence information, the method further comprises:

[0018] judging an information category of the scan influence information, wherein the information category is one of the following: position information, attenuation information, and sensitivity information.

[0019] Optionally, if the information category is the position information, a distance between a center of the region of interest and a ball tube is in direct proportion to the sparse coefficient.

[0020] if the information category is the sensitivity information, a sensitivity corresponding to the region of interest is in inverse proportion to the sparse coefficient.

[0021] if the information category is the attenuation information, an attenuation degree of the region of interest is in direct proportion to the sparse coefficient.

[0022] Optionally, the determining of the sparse coefficient corresponding to each of the scan influence information specifically comprises:

[0023] if the information category is the position information, a center of the region of interest is determined as a first position, a point farthest from a ball tube of the region of interest is determined as a second position, and the sparse coefficient is determined according to a first distance between the first position and the ball tube and a second distance between the second position and the ball tube.

[0024] Optionally, the basic scanning information comprises at least one of the following: a scanning protocol, a scan object positioning, and a scan object gender.

[0025] The determining the region of interest of the scan object according to the pre-scan data and the basic scan information of the scan object specifically comprises:

[0026] The region of interest is determined according to the basic scan information, the contour of the region of interest is determined according to the pre-scan information, and the region in the contour is determined as the region of interest, wherein the region of interest is a three-dimensional region.

[0027] Optionally, before the determining the sparse coefficient corresponding to each scan influence information, the method further comprises:

[0028] If the information category is attenuation information, the pre-scan data is analyzed to obtain the attenuation degree of the region of interest at the sampling angle.

[0029] Optionally, after the determining the target sampling angle according to the target sparsity, the method further comprises:

[0030] According to the target sampling angle, the region of interest is subjected to sampling processing.

[0031] According to another aspect of the present application, a CT sampling angle determination device is provided, comprising:

[0032] A scanning module is configured to obtain a region of interest.

[0033] An operation module is configured to determine a target sparsity corresponding to each sampling angle according to scan influence information of the region of interest at each sampling angle, and adjust the sampling density at the sampling angle according to the target sparsity to obtain a target sampling angle. Optionally, the scan influence information is one or more. The operation module is further configured to:

[0034] Determine a sparse coefficient corresponding to each scan influence information, and determine a target sparsity according to a preset basic sparsity and the sparse coefficient, wherein the basic sparsity is a default sparsity of sampling processing.

[0035] Optionally, the scanning module is specifically configured to:

[0036] Pre-scan a scan object to obtain pre-scan data, wherein the pre-scan is a plain film scan or an ultra-low dose scan.

[0037] According to the pre-scan data and the basic scan information of the scan object, a region of interest of the scan object is determined.

[0038] Optionally, the operation module is further configured to:

[0039] The target sparsity is wherein fi is the sparse coefficient corresponding to the i-th scanning influence information, p base is the basic sparsity.

[0040] Optionally, the operation module is further configured to:

[0041] determine an information category of the scanning influence information, wherein the information category is one of the following: position information, attenuation information, and sensitivity information.

[0042] Optionally, if the information category is the position information, a distance between a center of the region of interest and a ball tube is directly proportional to the sparse coefficient.

[0043] if the information category is the sensitivity information, a sensitivity corresponding to the region of interest is inversely proportional to the sparse coefficient.

[0044] if the information category is the attenuation information, an attenuation degree of the region of interest is directly proportional to the sparse coefficient.

[0045] Optionally, the operation module comprises a position determination unit, and is specifically configured to:

[0046] if the information category is the position information, determine a first position as the center of the region of interest, a second position as a point farthest from the ball tube in the region of interest, and determine the sparse coefficient according to a first distance between the first position and the ball tube and a second distance between the second position and the ball tube.

[0047] Optionally, the basic scanning information comprises at least one of the following: a scanning protocol, a scanning object positioning, and a scanning object gender.

[0048] The scanning module is specifically configured to:

[0049] determine a region of interest according to the basic scanning information, determine an outline of the region of interest according to the pre-scanning information, and determine a region within the outline as the region of interest, wherein the region of interest is a three-dimensional region.

[0050] Optionally, the operation module is further configured to:

[0051] if the information category is the attenuation information, analyze the pre-scanning data to obtain an attenuation degree of the region of interest at the sampling angle.

[0052] Optionally, the scanning module is further configured to:

[0053] perform sampling processing on the region of interest according to the target sampling angle.

[0054] According to yet another aspect of the present application, a storage medium is provided, which stores a computer program, and the computer program is executed by a processor to implement the method for determining CT sampling angles.

[0055] According to yet another aspect of the present application, an electronic device is provided, which comprises a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, and the processor implements the method for determining CT sampling angles when executing the computer program.

[0056] By the above technical solution, the present application determines the region of interest based on the result of the first scanning, and automatically adjusts the sparsity of sampling according to the scanning information at the region of interest, and controls the radiation dose irradiated to the region of interest by using the variable-density non-uniform sampling method. The present application automatically adjusts the sparsity of sampling of the region of interest according to the clinical requirements, and automatically adjusts the density of the sampling angle, thereby reducing the overall radiation dose of the object while ensuring the image quality, and solving the problem caused by the uniform sampling in the prior art.

[0057] The above description is only a summary of the technical solution of the present application, and in order to more clearly understand the technical means of the present application, the specific embodiments of the present application can be implemented according to the content of the description, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the following specific embodiments of the present application are described. BRIEF DESCRIPTION OF DRAWINGS

[0058] The drawings described herein are used to provide further understanding of the present application, and form a part of the present application. The schematic embodiments of the present application and the description thereof are used to explain the present application, and do not constitute an improper limitation on the present application. In the drawings:

[0059] Figure 1 A flowchart of a method for determining CT sampling angles provided by an embodiment of the present application is shown;

[0060] Figure 2 A flowchart of another method for determining CT sampling angles provided by an embodiment of the present application is shown;

[0061] Figure 3 A flowchart of another method for determining CT sampling angles provided by an embodiment of the present application is shown;

[0062] Figure 4 A sparsity diagram of another method for determining CT sampling angles provided by an embodiment of the present application is shown;

[0063] Figure 5 A sparsity diagram of another method for determining CT sampling angles provided by an embodiment of the present application is shown;

[0064] Figure 6 A structural block diagram of a CT sampling angle determination device provided by an embodiment of the present application is shown. DETAILED DESCRIPTION

[0065] A CT sampling angle determination method is provided in the embodiment, as shown in the figure, the method comprises: Figure 1

[0066] Step 101, obtaining a region of interest;

[0067] The CT sampling angle determination method provided by the embodiment sets a corresponding sampling sparsity for each region of interest, so as to realize adaptive allocation of sampling sparsity. Based on this, first, the region of interest of the scanning object is obtained, wherein the region of interest can be one or more, and each region of interest is a region to be scanned of the scanning object.

[0068] Step 102, determining a target sparsity corresponding to the sampling angle according to scanning influence information of the region of interest at each sampling angle, and adjusting the sampling density at the sampling angle according to the target sparsity to obtain a target sampling angle;

[0069] In the embodiment, since the clinical requirement of the region of interest or the scanning result is affected by one or more factors, at this time, adjusting the sparsity of the sampling angle can adjust the quality of the scanning result. Therefore, based on the influencing factors, the scanning influence information of the region of interest is analyzed, so as to respectively determine the target sparsity corresponding to each sampling angle of the region of interest, and then adjust the sampling density according to the target sparsity. After adjustment, the sampling densities at different sampling angles can be the same or different, thereby realizing variable density scanning.

[0070] For example, the highest tolerable dose of the region of interest is affected by the sensitivity of the organ, and the higher the sensitivity, the less able to tolerate high dose scanning. The sensitivity of the organ can also be understood as the ability of the organ to tolerate radiation, the higher the sensitivity of the organ, the worse the ability of the organ to tolerate radiation, and it is easy to cause adverse reactions such as lesions. Therefore, the sensitivity of the region of interest is analyzed, if the sensitivity is high, the sampling angle can be made more sparse accordingly, so as to reduce the influence of the radiation dose on the sensitive organ; if the sensitivity is low, the sampling angle can be made more dense accordingly, while protecting the organ, an image meeting the quality requirements is obtained.

[0071] ​By applying the technical solution of the embodiment, the region of interest is determined based on the result of the first scan, and the sparsity of sampling is automatically adjusted according to the scan information at the region of interest, and the variable-density non-uniform sampling method is used to control the radiation dose irradiated to the region of interest. The embodiment adaptively adjusts the sampling sparsity of the region of interest according to clinical requirements, and automatically adjusts the density of the sampling angle distribution, thereby reducing the overall radiation dose received by the object while ensuring image quality, and solving the problems caused by uniform sampling in the prior art.

[0072] Further, one embodiment of the present application comprises the steps as shown in Figure 2 Specifically, first, a pre-scan is performed to obtain pre-scan information; then, the region of interest is obtained according to the pre-scan information, wherein the region of interest can be one or more; the sparsity of each region of interest is determined, and then the scan angle is determined according to the sparsity, and the irregular sparse angle sampling for the region of interest is realized based on the scan angle; finally, the fpb (filter back projection) imaging is performed according to the sampling result to obtain the CT image.

[0073] Further, as a refinement and extension of the specific implementation of the above embodiment, in order to completely describe the specific implementation process of the embodiment, another method for determining the CT sampling angle is provided, wherein the scan influence information is one or more; the target sparsity of the sampling angle is determined according to the scan influence information of the region of interest at each sampling angle, specifically including:

[0074] The sparsity coefficient corresponding to each scan influence information is determined, and the target sparsity is determined according to the basic sparsity and the sparsity coefficient, wherein the basic sparsity is the default sparsity of the sampling process.

[0075] In this embodiment, since the clinical requirements or scan results of the region of interest are affected by one or more factors, the scan influence information can also be one or more, wherein the scan influence information corresponds to the influencing factors one by one. For example, the influencing factor is the distance between the center of the region of interest and the CT tube, and the scan influence information can be the specific position of the region of interest, or the specific value of the distance between the center of the region of interest and the tube.

[0076] After determining each scan influence information, the target sparsity is determined based on the specific content of the scan influence information and the preset basic sparsity. If there are multiple scan influence information, the sparsity coefficients corresponding to all scan influence information are comprehensively analyzed to obtain the final target sparsity.

[0077] Wherein, for the regions other than the region of interest, the sampling angle can be directly determined based on the basic sparsity, and the sampling process is performed.

[0078] Further, in another method for determining the CT sampling angle, the target sparsity is determined according to the preset base sparsity and the sparsity coefficient, specifically including:

[0079] The target sparsity is Wherein, f i is the sparsity coefficient corresponding to the i-th scanning influence information, p base is the base sparsity, and n is the number of scanning influence information.

[0080] In this embodiment, if the scanning influence information is multiple, each scanning influence information corresponds to a sparsity coefficient, and all sparsity coefficients are multiplied and calculated, and the multiplication result is multiplied by the base sparsity to obtain the target sparsity, so as to realize the adjustment of the sparsity.

[0081] If the scanning influence information is only one, the sparsity coefficient of the scanning influence information is multiplied by the base sparsity to obtain the target sparsity.

[0082] This embodiment realizes the automatic adjustment of the sparsity according to the scanning influence information of the region of interest. The multiple scanning influence information is independent of each other and independently affects the adjustment result of the sparsity.

[0083] Further, as shown in Figure 3 , in another method for determining the CT sampling angle, the region of interest is obtained, specifically including:

[0084] Step 201, pre-scanning the scanning object to obtain pre-scanning data, wherein the pre-scanning is a flat scanning or an ultra-low dose scanning;

[0085] In this embodiment, the scanning object is first scanned to obtain pre-scanning data, wherein the pre-scanning data can contain the position and positioning information of each organ and tissue of the scanning object, and the attenuation degree of X-ray under different positions of the scanning object, so that the position and range of the region of interest can be determined according to the position of each organ and tissue.

[0086] Wherein, the scanning mode can be flat scanning or ultra-low dose scanning, in addition, it can also be contrast scanning, contrast enhanced scanning, etc. Wherein, the ultra-low dose scanning can be realized by reducing the tube current, specifically, when the tube current is reduced to 50mAs (milliampere second), it can be considered that the ultra-low dose scanning is realized, at this time, the dose received by the scanning object is reduced by more than 20% than the conventional dose.

[0087] Step 202, determining the region of interest of the scanning object according to the pre-scanning data and the basic scanning information of the scanning object.

[0088] In this embodiment, the region of interest is divided according to the positions of organs and tissues in the pre-scan information. The region of interest can include sensitive organs, or other parts that cannot obtain high-quality images in uniform sparse scanning, or parts that need to be set with separate sparseness due to other clinical needs, etc. Since these parts cannot meet the clinical needs in the medical process or the obtained scanning results are not ideal in the angle-uniform sparse scanning, the sampling sparseness can be set for these regions separately.

[0089] The region of interest can be determined manually or automatically by using artificial intelligence, etc., which is not limited herein.

[0090] Further, in another method for determining the CT sampling angle, before determining the sparseness coefficient corresponding to each scanning influence information, the method further comprises:

[0091] judging the information category of the scanning influence information, wherein the information category is one of the following: position information, attenuation information, and sensitivity information.

[0092] In this embodiment, the scanning influence information has a corresponding information category, which corresponds to the influence factor. For example, if the influence factor is the distance between the region of interest and the CT ball tube, the scanning influence information can be the specific position of the region of interest, and the information category of the scanning influence information is position information.

[0093] In addition, the information category can also be attenuation information or sensitivity information. For example, if the scanning influence information is the sensitivity of organs or tissues to X-rays, the information category is sensitivity information; if the scanning influence information is the attenuation of each part, the information category is attenuation information.

[0094] Further, in another method for determining the CT sampling angle, the method further comprises:

[0095] If the information category is position information, the distance between the center of the region of interest and the ball tube is proportional to the sparseness coefficient;

[0096] In this embodiment, if the information category is position information, the relationship between the sparsity and the position of the region of interest is analyzed. The position relationship between the region of interest and the ball tube can be the distance between the outer contour of the region of interest and the ball tube. For example, in the scanning process, the center of some region of interest coincides with the scanning center, but the contour of the region of interest is an asymmetric structure. During the rotation of the ball tube around the scanning center, the distance between the contour of the region of interest and the ball tube changes, resulting in changes in the intensity of the X-rays received by different positions of the region of interest. Alternatively, the position relationship between the region of interest and the ball tube can be the distance between the center of the region of interest and the ball tube. For example, in the scanning process, the center of the region of interest does not coincide with the scanning center, such as the heart. During the rotation of the ball tube around the scanning center, the distance between the center of the region of interest and the ball tube changes, resulting in changes in the intensity of the X-rays received by different positions of the region of interest. It can be understood that the closer the center of the region of interest to the ball tube, the greater the intensity of the X-rays, and the higher the dose level of the region of interest. Therefore, in order to prevent the region of interest from receiving excessive radiation, the sampling density can be reduced, that is, the sampling angle is more sparse. The farther the center of the region of interest from the ball tube, the smaller the intensity of the X-rays, and the lower the dose level of the region of interest. Therefore, in order to improve the sampling effect, the sampling density can be increased, that is, the sampling angle is more dense. In other words, the distance between the center of the region of interest and the ball tube is proportional to the sparsity of the sampling angle, that is, the distance between the center of the region of interest and the ball tube is inversely proportional to the density of the sampling angle.

[0097] Figure 4 and Figure 5 are schematic diagrams of the sparsity of the region of interest when it is far away from the ball tube and close to the ball tube, respectively. As can be seen from the diagrams, when the region of interest is far away from the ball tube, the sampling angle is more dense than when the region of interest is close to the ball tube.

[0098] Further, if the information category is sensitivity information, the sensitivity of the region of interest is inversely proportional to the sparsity coefficient.

[0099] In this embodiment, if the information category is sensitivity information, the relationship between the sparsity and the sensitivity of the region of interest is analyzed. It can be understood that the lower the sensitivity of the region of interest, the greater the intensity of the X-rays that can be tolerated, and therefore the sampling density can be increased, that is, the sampling angle is more dense, and the sparsity is small. The higher the sensitivity of the region of interest, the smaller the intensity of the X-rays that can be tolerated, and therefore the sampling density can be reduced, that is, the sampling angle is more sparse, that is, the sparsity is large. In other words, the sensitivity of the organ is proportional to the sparsity of the sampling angle, that is, the sensitivity of the organ is inversely proportional to the density of the sampling angle.

[0100] The sensitivity of the region of interest can be determined according to the experience of a doctor or automatically analyzed according to historical scanning records.

[0101] Further, if the information category is the sensitivity information, the sparsity coefficient can be calculated by using the following formula:

[0102]

[0103] wherein c1 is a preset constant, and s is the sensitivity of the region of interest.

[0104] Further, if the information category is the attenuation information, the attenuation degree of the region of interest is proportional to the sparsity coefficient.

[0105] In this embodiment, if the information category is the attenuation information, the relationship between the sparsity degree and the attenuation degree of the region of interest is analyzed. It can be understood that the smaller the attenuation degree of the region of interest is, the greater the intensity of the X-ray passing through the region of interest is, and thus the sampling density can be reduced, i.e., the sampling angle is more sparse, and the sparsity degree is large; the greater the attenuation degree of the region of interest is, the smaller the intensity of the X-ray is, and thus the sampling density can be increased, i.e., the sampling angle is more dense, and the sparsity degree is small. In other words, the attenuation information of the region of interest is inversely proportional to the sparsity degree of the sampling angle, i.e., the attenuation information of the region of interest is proportional to the density of the sampling angle.

[0106] Further, if the information category is the attenuation information, the sparsity coefficient can be calculated by using the following formula:

[0107] f2=c2×α

[0108] wherein c2 is a preset constant, and a is the attenuation degree of the region of interest. The attenuation information of each part of the scanning object is contained in the pre-scanning information obtained by the pre-scanning.

[0109] This embodiment analyzes the influence of each influencing factor on the scanning result, obtains the sparsity coefficient of each scanning influencing information in a quantitative manner, and then the specific sampling density can be obtained according to the sparsity.

[0110] Further, in another method for determining the CT sampling angle, the sparsity coefficient is determined according to the position of the region of interest and the position of the X-ray tube, and specifically includes:

[0111] The center of the region of interest is determined as a first position, the point farthest from the X-ray tube is determined as a second position, and the sparsity coefficient is determined according to the first distance between the first position and the X-ray tube and the second distance between the second position and the X-ray tube.

[0112] In this embodiment, the center of the region of interest is determined as the first position, and the distance between the first position and the ball tube is the first distance l1. The point farthest from the ball tube in the region of interest is determined as the second position, and the distance between the second position and the ball tube is the farthest distance between the region of interest and the ball tube. This distance is recorded as the second distance l max .

[0113] Further, if the information category is position information, the sparse coefficient can be calculated using the following formula:

[0114]

[0115] Further, in another method for determining the CT sampling angle, the basic scan information includes at least one of the following: scan protocol, scan object positioning, and scan object gender. The region of interest of the scan object is determined according to the pre-scan data and the basic scan information of the scan object, specifically including:

[0116] The region of interest is determined according to the basic scan information and the contour of the region of interest is determined according to the pre-scan information, and the region within the contour is determined as the region of interest, wherein the region of interest is a three-dimensional region.

[0117] In this embodiment, the region of interest is determined in combination with the pre-scan information and the basic scan information of the scan object. The basic scan information of the scan object can be the scan protocol, the scan object positioning, the scan object gender, etc. Specifically, the scan object protocol can be a chest protocol, a head protocol, etc.; the scan object positioning can be lying flat, lying on one side, etc.

[0118] The region of interest can be manually determined by a doctor or automatically determined by using artificial intelligence, etc. For example, if the scan protocol is a chest, the scan object positioning is lying flat, and the scan object gender is female, in order to prevent irreversible damage to organs caused by excessive radiation during the scanning process, the chest of the scan object can be considered as the region of interest, and then the contour of the region of interest can be determined in combination with the positions of the organs and tissues in the pre-scan information, and the region within the contour is the region of interest. If the scan protocol is a head and the scan object positioning is lying on one side, in order to form organ protection for the vulnerable organ such as the eyeball during the scanning process, the eyeball of the scan object can be considered as the region of interest, and then the region within the eyeball contour is determined as the region of interest.

[0119] In addition, the region of interest can also be determined by combining manual and automatic methods. For example, after automatically determining the region of interest corresponding to the eyeball, if there is an error in the region of interest, the region of interest can be adjusted manually to improve the accuracy of the region of interest.

[0120] Further, the region of interest is a three-dimensional shape that just encloses the organ or tissue, so as to realize the wrapping of the region of interest.

[0121] Further, in another method for determining the CT sampling angle, before determining the sparse coefficient corresponding to each scanning influence information, the method further comprises:

[0122] If the information category is attenuation information, the pre-scan data is analyzed to obtain the attenuation degree of the region of interest at the sampling angle.

[0123] In this embodiment, the attenuation degree and the like attenuation information can be obtained in the pre-scan data, and the attenuation information is determined by using the pre-scan result, so as to ensure the accuracy of the attenuation information.

[0124] Further, in another method for determining the CT sampling angle, after determining the target sampling angle according to the target sparsity, the method further comprises:

[0125] According to the target sampling angle, the region of interest is sampled.

[0126] In this embodiment, after the target sampling angle is determined, X-rays are emitted according to the target sampling angle, so as to realize the sampling of the region of interest. If there are multiple regions of interest, the sampling density is calculated based on all the regions of interest. Specifically, the above operation is performed for each region of interest to obtain the sparse coefficient corresponding thereto, then all the sparse coefficients are multiplied by the basic sparsity to obtain the target sparsity, and the corresponding target sampling angle is determined, and the corresponding X-rays are emitted to realize the adaptive sampling density.

[0127] Further, after the sampling processing, the imaging is performed according to the sampling result, so as to obtain the CT image for this scanning operation.

[0128] Further, as a specific implementation of the above method for determining the CT sampling angle, the embodiment of the present application provides a determination device for CT sampling angle, as shown in Figure 6 The determination device for CT sampling angle comprises a scanning module, a positioning module and an operation module.

[0129] The scanning module is used to obtain the region of interest.

[0130] The operation module is used to determine the target sparsity corresponding to the sampling angle according to the scanning influence information of the region of interest at each sampling angle, and adjust the sampling density at the sampling angle according to the target sparsity, so as to obtain the target sampling angle.

[0131] Optionally, the scanning influence information is one or more; and the operation module is further used to:

[0132] Determine the sparse coefficient corresponding to each scan impact information, and determine the target sparsity according to a preset basic sparsity and the sparse coefficient, wherein the basic sparsity is a default sparsity of the sampling processing.

[0133] Optionally, the scanning module is specifically used for:

[0134] Pre-scanning the scanning object to obtain pre-scanning data, wherein the pre-scanning is a flat scanning or an ultra-low dose scanning.

[0135] According to the pre-scanning data and basic scanning information of the scanning object, determining the acquisition region of interest of the scanning object.

[0136] Optionally, the target sparsity is Wherein, f i is the sparse coefficient corresponding to the i th scan impact information, p base is the basic sparsity, and n is the number of the scan impact information.

[0137] Optionally, the operation module is further used for:

[0138] Judging the information category of the scan impact information, wherein the information category is one of the following: position information, attenuation information, and sensitivity information.

[0139] Optionally, if the information category is the position information, the distance between the center of the region of interest and the ball tube is proportional to the sparse coefficient.

[0140] If the information category is the sensitivity information, the sensitivity corresponding to the region of interest is inversely proportional to the sparse coefficient.

[0141] If the information category is the attenuation information, the attenuation degree of the region of interest is proportional to the sparse coefficient.

[0142] Optionally, the operation module includes a position determining unit, which is specifically used for:

[0143] If the information category is the position information, the center of the region of interest is determined as a first position, the point farthest from the ball tube of the region of interest is determined as a second position, and the sparse coefficient is determined according to the first distance between the first position and the ball tube and the second distance between the second position and the ball tube.

[0144] Optionally, the basic scanning information includes at least one of the following: a scanning protocol, a scanning object positioning, and a scanning object gender.

[0145] The scanning module is specifically used for:

[0146] Determining the region of interest according to the basic scanning information, determining the contour of the region of interest according to the pre-scanning information, and determining the region within the contour as the region of interest, wherein the region of interest is a three-dimensional region.

[0147] Optionally, the operation module is further configured to:

[0148] If the information category is attenuation information, the pre-scan data is parsed to obtain the attenuation degree of the region of interest at the sampling angle.

[0149] Optionally, the scanning module is further configured to:

[0150] According to the target sampling angle, the region of interest is sampled.

[0151] It should be noted that other corresponding descriptions of the functions of the CT sampling angle determination device provided in the embodiments of the present application can be referred to the corresponding descriptions in the Figures 1 to 5 , which will not be described here.

[0152] Based on the above method as shown in Figures 1 to 5 , correspondingly, the embodiments of the present application also provide a storage medium having a computer program stored thereon, which is executed by a processor to implement the above CT sampling angle determination method as shown in Figures 1 to 5 .

[0153] Based on such understanding, the technical solutions of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a U disk, a mobile hard disk, etc.), including a plurality of instructions for causing an electronic device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of various implementation scenarios of the present application.

[0154] Based on the above method as shown in Figures 1 to 5 , and Figure 6 the CT sampling angle determination device embodiment, in order to achieve the above purpose, the embodiments of the present application also provide an electronic device, which can be a personal computer, a server, a network device, etc., the electronic device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to implement the above CT sampling angle determination method as shown in Figures 1 to 5 .

[0155] Optionally, the electronic device can also include a user interface, a network interface, a camera, a radio frequency (Radio Frequency, RF) circuit, a sensor, an audio circuit, a WI-FI module, etc. The user interface can include a display screen (Display), an input unit such as a keyboard (Keyboard), etc. The optional user interface can also include a USB interface, a card reader interface, etc. The network interface can optionally include a standard wired interface, a wireless interface (such as a Bluetooth interface, a WI-FI interface), etc.

[0156] Those skilled in the art can understand that the electronic device structure provided by the embodiment does not constitute a limitation on the electronic device, and can include more or fewer components, or combine certain components, or different component arrangements.

[0157] The storage medium can further include an operating device and a network communication module. The operating device is a program for managing and saving hardware and software resources of the electronic device, and supports the running of information processing programs and other software and / or programs. The network communication module is used to realize communication between the controls inside the storage medium, and communication with other hardware and software in the entity device.

[0158] Through the above description of the embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software and necessary general hardware platforms.

[0159] Those skilled in the art can understand that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the units or flows in the drawings are not necessarily essential for implementing the present application. Those skilled in the art can understand that the units in the device in the implementation scenario can be distributed in the device in the implementation scenario according to the description of the implementation scenario, or can be changed and located in one or more devices different from the implementation scenario. The units of the above implementation scenario can be combined into one unit, or can be further split into multiple sub-units.

[0160] The above application serial numbers are only for description, and do not represent the advantages and disadvantages of the implementation scenario. The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any changes that those skilled in the art can think of should fall within the protection scope of the present application.

Claims

1. A method for determining a CT sampling angle, characterized in that: The method comprises: Get the region of interest; Determining a target sparsity corresponding to the sampling angle according to scanning impact information of the region of interest at each sampling angle, and adjusting a sampling density at the sampling angle according to the target sparsity to obtain a target sampling angle; The scanning impact information is one or more; The determining, based on the scanning impact information of the region of interest at each sampling angle, the target sparsity of the sampling angle specifically includes: Determine a sparse coefficient corresponding to each of the scan impact information, and determine a target sparsity according to a basic sparsity and the sparse coefficient, wherein the basic sparsity is a default sparsity for sampling processing; The determining of the target sparsity according to the base sparsity and the sparsity coefficient includes: Determine the target sparsity as Among them, f i is the sparse coefficient corresponding to the i-th scan impact information, p base is the basic sparsity, and n is the number of scan impact information.

2. The method according to claim 1, characterized in that The obtaining of the region of interest specifically includes: Performing a pre-scan on the scan object to obtain pre-scan data, wherein the pre-scan is a plain film scan or an ultra-low-dose scan; An acquisition region of interest of the scan object is determined according to the pre-scan data and basic scan information of the scan object.

3. The method according to claim 1, characterized in that Before determining the sparse coefficient corresponding to each piece of scanning impact information, the method further includes: Determine an information category of the scanning impact information, wherein the information category is one of the following: position information, attenuation information, and sensitivity information.

4. The method according to claim 3, wherein: If the information category is position information, the distance between the center of the region of interest and the tube is proportional to the sparsity coefficient; If the information category is sensitivity information, the sensitivity corresponding to the region of interest is inversely proportional to the sparsity coefficient; If the information category is attenuation information, the attenuation degree of the region of interest is proportional to the sparsity coefficient.

5. The method according to claim 3, characterized in that The determining of the sparse coefficient corresponding to each piece of scanning impact information specifically includes: If the information category is position information, the center of the region of interest is determined as a first position, the point of the region of interest farthest from the tube is determined as a second position, and the sparse coefficient is determined based on a first distance between the first position and the tube and a second distance between the second position and the tube.

6. The method according to claim 2, characterized in that The basic scanning information includes at least one of the following: scanning protocol, scanning object position, and scanning object gender; The determining the region of interest of the scan object according to the pre-scan data and the basic scan information of the scan object specifically includes: The part of interest is determined according to the basic scanning information, the outline of the part of interest is determined according to the pre-scanning information, and the area within the outline is determined as the region of interest, wherein the region of interest is a three-dimensional area.

7. A device for determining a CT sampling angle, characterized in that: The device comprises: Scanning module, used to obtain the region of interest; a calculation module, configured to determine a target sparsity corresponding to the sampling angle according to the scanning impact information of the region of interest at each sampling angle, and adjust the sampling density at the sampling angle according to the target sparsity to obtain a target sampling angle; The scanning impact information is one or more; the operation module is further used to determine the sparse coefficient corresponding to each of the scanning impact information, and determine the target sparsity according to the basic sparsity and the sparse coefficient, wherein the basic sparsity is the default sparsity of the sampling process; The determining of the target sparsity according to the base sparsity and the sparsity coefficient includes: Determine the target sparsity as Among them, f i is the sparse coefficient corresponding to the i-th scan impact information, p base is the basic sparsity, and n is the number of scan impact information.

8. A storage medium having a program or instruction stored thereon, characterized in that: When the program or instruction is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

9. An electronic device, characterized in that: The method comprises a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the method according to any one of claims 1 to 6 when executing the program.

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