Artifact removal method, device and equipment suitable for intravascular ultrasonic imaging and storage medium

Abstract

The embodiment of the invention discloses an artifact removal method and device suitable for intravascular ultrasonic imaging, equipment and a storage medium. The method comprises the following steps: acquiring a current frame image obtained by performing intravascular ultrasonic imaging on a target blood vessel, and performing artifact removal in a blind area of the current frame image by using pre-obtained artifact parameters to obtain a result image; for the artifact signal and the effective signal in the blind area of the result image, analyzing the blind area of the result image to obtain a proportion numerical relationship related to the artifact signal and the effective signal; adjusting the artifact parameter according to the proportion numerical relationship to obtain an adjusted parameter; and acquiring a next frame of image obtained by performing intravascular ultrasonic imaging on the target blood vessel, and performing artifact removal in a blind area of the next frame of image by using the adjusted parameters. According to the technical scheme provided by the embodiment of the invention, effective signals can be reserved as much as possible while artifact signals are removed as much as possible.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of ultrasonic imaging technology, and in particular to an artifact removal method, device, equipment and storage medium suitable for intravascular ultrasonic imaging. Background Art

[0002] The intravascular ultrasound (IVUS) imaging system uses catheter technology to deliver a miniature ultrasound transducer into the blood vessel, and uses ultrasound scanning and reflection to generate cross-sectional images of the blood vessel, thereby showing the operator the internal morphology, size, and plaque distribution of the blood vessel wall, thereby guiding the operator's percutaneous coronary intervention (PCI).

[0003] With respect to the IVUS imaging obtained by the IVUS imaging system, affected by the imaging method of the IVUS imaging system, there is a blind area in the IVUS image. The blind area is the area where the artifact signal is located. The artifact signal will affect the doctor's reading of the IVUS image, which is particularly obvious when the catheter is attached to the wall.

[0004] It can be seen that removing the artifact signal in the blind area is a key step in the IVUS imaging process. At present, the removal of artifact signals is mainly achieved by removing all signals in the blind area. For example, Figure 1a The highlighted part in the red frame is the artifact signal. Figure 1b yes Figure 1a Artifact removal results.

[0005] However, in the blind area, there are not only artifact signals, but also effective signals that can reflect the situation inside the blood vessels. The currently used artifact removal scheme removes both the artifact signals and the effective signals. Figure 1a and Figure 1b It can be seen that Figure 1a The entire signal in the highlighted part is Figure 1b Obviously, this will affect doctors' reading of IVUS images and needs to be solved urgently. Summary of the invention

[0006] The embodiments of the present invention provide an artifact removal method, device, equipment and storage medium applicable to intravascular ultrasound imaging, which solves the problem of removing effective signals while removing artifact signals.

[0007] According to one aspect of the present invention, a method for removing artifacts applicable to intravascular ultrasound imaging is provided, which may include:

[0008] Acquire a current frame image obtained by intravascular ultrasound imaging of a target blood vessel, and remove artifacts in a blind area of ​​the current frame image using pre-obtained artifact parameters to obtain a result image;

[0009] For the artifact signal and the effective signal in the blind area of ​​the result image, the blind area of ​​the result image is analyzed to obtain a numerical relationship of the proportions related to the artifact signal and the effective signal;

[0010] According to the numerical relationship of the proportions, the artifact parameters are adjusted to obtain the adjusted parameters;

[0011] A next frame of image obtained by intravascular ultrasound imaging of the target blood vessel is acquired, and artifacts are removed in a blind area of ​​the next frame of image using the adjusted parameters.

[0012] According to another aspect of the present invention, there is provided an artifact removal device applicable to intravascular ultrasound imaging, which may include:

[0013] A result image acquisition module can be used to obtain a current frame image obtained by intravascular ultrasound imaging of a target blood vessel, and remove artifacts in a blind area of ​​the current frame image using pre-obtained artifact parameters to obtain a result image;

[0014] A module for obtaining a ratio numerical relationship is used to analyze the blind area of ​​the result image with respect to the artifact signal and the effective signal in the blind area of ​​the result image, and obtain a ratio numerical relationship related to the artifact signal and the effective signal;

[0015] The adjusted parameter obtaining module is used to adjust the artifact parameters according to the numerical relationship of the proportions to obtain the adjusted parameters;

[0016] The artifact removal module is used to obtain the next frame of image obtained by intravascular ultrasound imaging of the target blood vessel, and use the adjusted parameters to remove artifacts in the blind area of ​​the next frame of image.

[0017] According to another aspect of the present invention, there is provided an artifact removal device suitable for intravascular ultrasound imaging, which may include:

[0018] at least one processor; and

[0019] a memory communicatively connected to at least one processor; wherein,

[0020] The memory stores a computer program that can be executed by at least one processor. The computer program is executed by at least one processor so that the at least one processor implements the artifact removal method applicable to intravascular ultrasound imaging provided by any embodiment of the present invention when executing the computer program.

[0021] According to another aspect of the present invention, a computer-readable storage medium is provided, on which computer instructions are stored, and the computer instructions are used to enable a processor to implement the artifact removal method applicable to intravascular ultrasound imaging provided by any embodiment of the present invention when executed.

[0022] The technical solution of the embodiment of the present invention is to obtain a current frame image obtained by intravascular ultrasound imaging of a target blood vessel, and remove artifacts in the blind area of ​​the current frame image using the pre-obtained artifact parameters to obtain a result image; the blind area of ​​the result image is analyzed for the artifact signals and effective signals in the blind area of ​​the result image, and a numerical ratio relationship related to the artifact signals and effective signals can be obtained, and the numerical ratio relationship can characterize the artifact removal effect of the current frame image, that is, whether the artifact parameter is conducive to removing more artifact signals; then, according to the numerical ratio relationship, the artifact parameter is adjusted to obtain an adjusted parameter, and compared with the artifact parameter, the adjusted parameter is conducive to removing more artifact signals; the next frame image obtained by intravascular ultrasound imaging of the target blood vessel is obtained, and the artifact removal is performed in the blind area of ​​the next frame image using the adjusted parameter. In the above technical solution, the artifact parameter is adjusted according to the artifact removal effect of the current frame image to obtain the adjusted parameter, and then the adjusted parameter is applied in the artifact removal process of the next frame image, thereby achieving the goal of removing as many artifact signals as possible while retaining as many effective signals as possible.

[0023] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0025] Figure 1a is a schematic diagram of an intravascular ultrasound image;

[0026] Figure 1b is with Figure 1a Schematic diagram of the corresponding artifact removal results;

[0027] Figure 2 is a flow chart of an artifact removal method applicable to intravascular ultrasound imaging provided by an embodiment of the present invention;

[0028] Figure 3ais a schematic diagram of an intravascular ultrasound image in an artifact removal method applicable to intravascular ultrasound imaging provided by an embodiment of the present invention;

[0029] Figure 3b According to an embodiment of the present invention, a method for removing artifacts suitable for intravascular ultrasound imaging is provided. Figure 3a Schematic diagram of the corresponding artifact removal results;

[0030] Figure 4 is a flow chart of another artifact removal method applicable to intravascular ultrasound imaging provided according to an embodiment of the present invention;

[0031] Figure 5 is a flow chart of another artifact removal method applicable to intravascular ultrasound imaging provided according to an embodiment of the present invention;

[0032] Figure 6 is a flow chart of another artifact removal method applicable to intravascular ultrasound imaging provided according to an embodiment of the present invention;

[0033] Figure 7 is a flowchart of an optional example of another artifact removal method applicable to intravascular ultrasound imaging provided according to an embodiment of the present invention;

[0034] Figure 8 is a structural block diagram of an artifact removal device applicable to intravascular ultrasound imaging provided by an embodiment of the present invention;

[0035] Fig. 9 It is a structural schematic diagram of an artifact removal device for implementing an artifact removal method applicable to intravascular ultrasound imaging according to an embodiment of the present invention. DETAILED DESCRIPTION

[0036] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0037] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. The situations of "target", "original", etc. are similar and will not be repeated here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0038] Before introducing the embodiment of the present invention, the application scenario of the embodiment of the present invention is first exemplified. For example, assuming that the ultrasonic transducer receives an electronic signal of a preset frequency at time t, the piezoelectric ceramic in the ultrasonic transducer can convert the electronic signal into an ultrasonic wave during the period t1-t2 (t1 is later than t), and at a certain moment t3 during the period t1-t2, the ultrasonic transducer changes from the transmitting mode to the receiving mode, so that the ultrasonic wave received by the ultrasonic transducer during the period t3-t2 includes the transmitted ultrasonic wave and the returned ultrasonic wave (i.e., the echo). The transmitted ultrasonic wave is reflected as an artifact signal in the ultrasonic image, and the echo is reflected as a valid signal in the ultrasonic image, and the valid signal is usually blocked by the artifact signal.

[0039] As another example, the catheters used in IVUS imaging systems are mainly straight catheters, and the diameter of the blood vessel is usually significantly larger than the diameter of the catheter, which means that when the catheter is inside the blood vessel, the position of the catheter has a tendency to stick to the wall. At the same time, the catheter is usually a guidewire rapid exchange catheter, that is, the catheter is only guided and positioned by a guidewire in the shorter part of the head end, so the probability of sticking to the wall is greater. In addition, human blood vessels vary greatly from person to person, with different sizes and shapes, which makes it inevitable that the catheter will stick to the wall in the blood vessel. When the catheter is attached to the wall, the blood vessel wall close to the catheter is the focus of the doctor's attention when reading the IVUS image, but it will be blocked by the artifact signal, so the need for artifact removal is even stronger at this time.

[0040] Figure 2This is a flowchart of an artifact removal method applicable to intravascular ultrasound imaging provided by an embodiment of the present invention. This embodiment can be applicable to the case of performing artifact removal on intravascular ultrasound images. The method can be executed by an artifact removal device applicable to intravascular ultrasound imaging provided by an embodiment of the present invention. The device can be implemented by software and / or hardware. The device can be integrated on an artifact removal device applicable to intravascular ultrasound imaging. The artifact removal device can be various user terminals or servers.

[0041] See also Figure 2 The method of the embodiment of the present invention specifically includes the following steps:

[0042] S110 , obtaining a current frame image obtained by performing intravascular ultrasound imaging on a target blood vessel, and removing artifacts in a blind area of ​​the current frame image using pre-obtained artifact parameters to obtain a result image.

[0043] The target blood vessel may be understood as a blood vessel that requires intravascular ultrasound imaging.

[0044] The current frame image can be understood as the intravascular ultrasound image obtained by performing intravascular ultrasound imaging on the target blood vessel. The blind area of ​​the current frame image can be understood as the area where the artifact signal in the current frame image is located in the current frame image. In combination with the application scenarios that may be involved in the embodiments of the present invention, usually, the blind area contains not only artifact signals but also effective signals that can reflect the intravascular conditions of the target blood vessel.

[0045] The artifact parameter can be understood as a pre-obtained parameter for performing artifact removal in the blind area. On this basis, in combination with the application scenarios that may be involved in the embodiments of the present invention, the artifact parameter can be a pre-set parameter, in particular, a parameter obtained based on the artifact removal result of the previous frame image of the current frame image, etc., which is not specifically limited here.

[0046] The artifact parameters are used to remove artifacts in the blind area to obtain a result image. Exemplarily, the blind area can be filtered according to the artifact parameters using a preset filtering algorithm to obtain a result image. The preset filtering algorithm can be, for example, a singular value decomposition filtering algorithm or a wavelet filtering algorithm, which can be set according to actual needs and is not specifically limited here; the artifact parameters can also be used to extract the artifact signal from all signals in the blind area, and the artifact signal can be removed to obtain a result image; of course, the artifact parameters can also be used to remove artifacts based on other methods, which are not specifically limited here.

[0047] S120 , analyzing the blind area of ​​the result image for the artifact signal and the valid signal in the blind area of ​​the result image to obtain a numerical relationship of the proportions of the artifact signal and the valid signal.

[0048] In order to retain the effective signal in the blind area, it is usually impossible to completely remove the artifact signal in the blind area. The only way is to remove as many artifact signals as possible to reduce the possibility that the effective signal is blocked by the artifact signal.

[0049] On this basis, after obtaining the result image, the blind area of ​​the result image can be analyzed to obtain the numerical relationship of the proportion of the artifact signal and the effective signal in the blind area, and the numerical relationship of the proportion can characterize whether the main signal in the blind area is an artifact signal or an effective signal, thereby characterizing the artifact removal effect of the current frame image. Exemplarily, if the main signal is an effective signal, this indicates that the artifact removal effect is better, that is, the artifact parameters applied in S110 help to remove more artifact signals; otherwise, this indicates that the artifact removal effect is not good, that is, the artifact parameters applied in S110 are not conducive to removing more artifact signals.

[0050] On this basis, combined with the application scenarios that may be involved in the embodiments of the present invention, optionally, the numerical relationship of the proportion can be a numerical relationship between the artifact proportion and the effective proportion, the artifact proportion can be the proportion of the artifact signal relative to the effective signal, and the effective proportion can be the proportion of the effective signal relative to the artifact signal; the artifact proportion can be the proportion of the artifact signal equivalent to the total signal in the blind spot, and the effective proportion can be the proportion of the effective signal equivalent to the total signal; and so on, no specific limitation is made here.

[0051] S130 , adjusting the artifact parameters according to the numerical relationship of the proportions to obtain adjusted parameters.

[0052] Among them, combined with practice, it is found that the artifact situation in the m+1th frame of intravascular ultrasound image is very similar to the artifact situation in the mth frame of intravascular ultrasound image. Therefore, the artifact removal method of the m+1th frame of intravascular ultrasound image can be determined according to the artifact removal effect of the mth frame of intravascular ultrasound image.

[0053] On this basis, combined with the embodiment of the present invention, the artifact parameter 1 applied for artifact removal for the next frame image of the current frame image can be determined according to the artifact removal effect of the current frame image. Specifically, according to the numerical relationship of the proportion that can reflect the artifact removal effect of the current frame image, the artifact parameter 2 applied for artifact removal for the current frame image is adjusted to obtain the artifact parameter 1. In this step, the artifact parameter 1 is referred to as the adjusted parameter.

[0054] S140 , obtaining a next frame of image obtained by performing intravascular ultrasound imaging on the target blood vessel, and removing artifacts in a blind area of ​​the next frame of image using the adjusted parameters.

[0055] The next frame of image is obtained, and the artifact removal is performed in the blind area of ​​the next frame of image using the adjusted parameters, thereby completing the artifact removal process of the next frame of image.

[0056] On this basis, optionally, after completing the artifact removal process of the next frame of image, the above steps may be repeated until a preset end condition is met, wherein the preset end condition includes at least one of the following:

[0057] The artifact removal process of the last frame image has been completed, wherein the last frame image is obtained by performing intravascular ultrasound imaging on the target blood vessel; the adjusted parameter is less than or equal to a preset first parameter threshold; and the adjusted parameter is greater than or equal to a preset second parameter threshold, wherein the second parameter threshold is greater than the first parameter threshold.

[0058] The last frame image can be understood as the last frame of intravascular ultrasound image collected for the target blood vessel. When the artifact removal process of the last frame image is completed, the entire artifact removal process is also completed.

[0059] When the adjusted parameter is less than or equal to the preset first parameter threshold, this means that the artifact signal in the result image corresponding to the next frame image is very small. At this time, there is no need to remove artifacts from subsequent frame images, and the artifact removal process is completed; or in other words, the adjusted parameter can remove a lot of artifact signals, and the adjusted parameter can be used for artifact removal in the future without the need to perform the parameter adjustment process.

[0060] When the adjusted parameter is greater than or equal to the preset second parameter threshold, the second parameter threshold is greater than the first parameter threshold, which means that there are a lot of artifact signals in the result image corresponding to the next frame image. This may be caused by the fact that the adjusted parameters are very inaccurate. Therefore, the artifact parameters need to be reset for readjustment, and cannot be adjusted further based on the adjusted parameters to improve the artifact removal effect.

[0061] On this basis, in order to prove that the artifact removal process described in the embodiment of the present invention can retain the valid signal as much as possible while removing the artifact signal, an exemplary description is given below with reference to specific examples.

[0062] For example, see Figure 3a , where the highlighted part in the red frame is the artifact signal, and the valid signal in the red frame is blocked by the artifact signal. After removing the artifact signal, see Figure 3b There is a clear boundary in the red frame on the right, and there are clear bright spots in the red frame on the left. These are valid signals retained while removing artifact signals.

[0063] The technical solution of the embodiment of the present invention is to obtain a current frame image obtained by intravascular ultrasound imaging of a target blood vessel, and remove artifacts in the blind area of ​​the current frame image using the pre-obtained artifact parameters to obtain a result image; the blind area of ​​the result image is analyzed for the artifact signals and effective signals in the blind area of ​​the result image, and a numerical ratio relationship related to the artifact signals and effective signals can be obtained, and the numerical ratio relationship can characterize the artifact removal effect of the current frame image, that is, whether the artifact parameter is conducive to removing more artifact signals; then, according to the numerical ratio relationship, the artifact parameter is adjusted to obtain an adjusted parameter, and compared with the artifact parameter, the adjusted parameter is conducive to removing more artifact signals; the next frame image obtained by intravascular ultrasound imaging of the target blood vessel is obtained, and the artifact removal is performed in the blind area of ​​the next frame image using the adjusted parameter. In the above technical solution, the artifact parameter is adjusted according to the artifact removal effect of the current frame image to obtain the adjusted parameter, and then the adjusted parameter is applied in the artifact removal process of the next frame image, thereby achieving the goal of removing as many artifact signals as possible while retaining as many effective signals as possible.

[0064] An optional technical solution, using pre-obtained artifact parameters to remove artifacts in the blind area of ​​the current frame image, includes:

[0065] By using a singular value decomposition filtering algorithm, the blind area of ​​the current frame image is filtered according to the pre-obtained artifact parameters, so as to remove artifacts in the blind area of ​​the current frame image.

[0066] The above technical solution further improves the artifact removal effect by utilizing a singular value decomposition (SVD) filtering algorithm.

[0067] On this basis, optionally, the artifact parameter is an artifact threshold, and the blind area of ​​the current frame image is filtered according to the pre-obtained artifact parameter by using a singular value decomposition filtering algorithm to remove artifacts in the blind area of ​​the current frame image, including:

[0068] By using a singular value decomposition filtering algorithm, filtering the blind area of ​​the current frame image according to a threshold value relationship between a sum of multiple singular values ​​and a pre-obtained artifact threshold;

[0069] The singular values ​​are elements on the main diagonal of the diagonal matrix, and the diagonal matrix is ​​obtained by performing matrix decomposition related to the blind area of ​​the current frame image through a singular value decomposition filtering algorithm.

[0070] Among them, by using the SVD filtering algorithm, the matrix corresponding to the current frame image, specifically the matrix corresponding to the blind area of the current frame image, is decomposed to obtain a diagonal matrix, and then multiple singular values are extracted from the diagonal matrix, and the sum result of the multiple singular values is calculated.

[0071] Further, according to the threshold numerical relationship between the sum result and the artifact threshold, the blind area of the current frame image is filtered. Exemplarily, when holds, {λ i , i < n} is discarded, and filtering is performed based on this. Where n represents the number of singular values, λ i represents the i-th singular value, and α represents the artifact threshold.

[0072] In the above technical solution, by using the SVD filtering algorithm and combining the threshold numerical relationship between the sum result of multiple singular values and the artifact threshold for filtering, the artifact removal effect is further improved.

[0073] Figure 4 is a flowchart of another artifact removal method applicable to intravascular ultrasound imaging provided in an embodiment of the present invention. This embodiment is optimized based on the above technical solutions. In this embodiment, optionally, the blind area of the result image is analyzed to obtain the proportion numerical relationship related to the artifact signal and the effective signal, including: analyzing the blind area of the result image to obtain the proportion numerical relationship between the artifact proportion and the effective proportion, where the artifact proportion is the proportion of the artifact signal in all signals in the blind area of the result image, and the effective proportion is the proportion of the effective signal in all signals. Among them, the explanations of the same or corresponding terms as those in the above embodiments are not repeated here.

[0074] See Figure 4 for details. The method of this embodiment may specifically include the following steps:

[0075] S210. Obtain the current frame image obtained by performing intravascular ultrasound imaging on the target blood vessel, and use the pre-obtained artifact parameters to remove artifacts in the blind area of the current frame image to obtain a result image.

[0076] S220. For the artifact signal and the effective signal in the blind area of the result image, analyze the blind area of the result image to obtain the proportion numerical relationship between the artifact proportion and the effective proportion;

[0077] where the artifact proportion is the proportion of the artifact signal in all signals in the blind area of the result image, and the effective proportion is the proportion of the effective signal in all signals.

[0078] S230. Adjust the artifact parameters according to the proportion numerical relationship to obtain the adjusted parameters.

[0079] S240 , obtaining a next frame of image obtained by performing intravascular ultrasound imaging on the target blood vessel, and removing artifacts in a blind area of ​​the next frame of image using the adjusted parameters.

[0080] The technical solution of the embodiment of the present invention adjusts the artifact parameters by utilizing the numerical relationship between the artifact ratio and the effective ratio, so that the ratio of the removed signal in the blind area to the total signal is appropriate, further ensuring that the effective signal is retained as much as possible while removing the artifact signal.

[0081] Figure 5 It is a flowchart of another artifact removal method suitable for intravascular ultrasound imaging provided in an embodiment of the present invention. This embodiment is optimized based on the above-mentioned technical solutions. In this embodiment, optionally, the blind area of ​​the result image is analyzed to obtain a numerical relationship between the artifact ratio and the effective ratio, which may include: analyzing the scan lines in the blind area of ​​the result image to obtain a first number of sampling points on the scan lines and a second number of sampling points whose intensity is less than a preset intensity threshold; according to the ratio of the second number to the first number, a numerical relationship between the artifact ratio and the effective ratio is obtained. Among them, the explanations of the terms that are the same or corresponding to the above-mentioned embodiments are not repeated here.

[0082] See also Figure 5 The method of this embodiment may specifically include the following steps:

[0083] S310 , obtaining a current frame image obtained by performing intravascular ultrasound imaging on a target blood vessel, and removing artifacts in a blind area of ​​the current frame image using pre-obtained artifact parameters to obtain a result image.

[0084] S320: Analyze the scan lines in the blind area of ​​the result image to obtain a first number of sampling points on the scan lines and a second number of sampling points whose intensities are less than a preset intensity threshold.

[0085] The first number may be understood as the number of all sampling points on the scan line in the blind area of ​​the result image, and the second number may be understood as the number of sampling points on the scan line whose intensity is less than a preset intensity threshold.

[0086] The scan line is analyzed to obtain the first quantity and the second quantity. In the embodiment of the present invention, optionally, the first quantity and the second quantity corresponding to any scan line in the blind area can be obtained; the first quantity and the second quantity corresponding to each scan line can also be obtained, which can be regarded as obtaining the first quantity and the second quantity corresponding to the blind area; and so on. This can be set according to actual needs and is not specifically limited here.

[0087] S330, for the artifact signals and the valid signals in the blind area of ​​the result image, according to the ratio of the second quantity to the first quantity, obtaining a numerical relationship between the artifact ratio and the valid ratio;

[0088] The artifact ratio is the ratio of the artifact signal to the total signal in the blind area of ​​the result image, and the effective ratio is the ratio of the effective signal to the total signal.

[0089] According to the ratio of the second quantity to the first quantity, a numerical ratio relationship is obtained. Exemplarily, a preset ratio threshold may be pre-set. When the quantity ratio is greater than the preset ratio threshold, the numerical ratio relationship indicates that the artifact ratio is greater than the effective ratio; and / or, when the quantity ratio is less than or equal to the preset ratio threshold, the numerical ratio relationship indicates that the artifact ratio is less than or equal to the effective ratio.

[0090] S340 , adjusting the artifact parameters according to the numerical relationship of the proportions to obtain adjusted parameters.

[0091] Exemplarily, when the numerical relationship of the proportion represents that the artifact proportion is greater than the effective proportion, the adjustment direction of the artifact parameter may be an increasing direction to remove more artifact signals.

[0092] When the numerical relationship of the proportion represents that the artifact proportion is less than or equal to the effective proportion, the adjustment direction can be a reduction direction to remove fewer artifact signals, thereby retaining as many effective signals as possible.

[0093] S350, obtaining a next frame of image obtained by performing intravascular ultrasound imaging on the target blood vessel, and removing artifacts in a blind area of ​​the next frame of image using the adjusted parameters.

[0094] The technical solution of the embodiment of the present invention achieves accurate acquisition of the numerical relationship of the proportion by utilizing the number of sampling points on the scanning line in the blind area of ​​the result image.

[0095] Figure 6 It is a flowchart of another artifact removal method suitable for intravascular ultrasound imaging provided in an embodiment of the present invention. This embodiment is optimized based on the above-mentioned technical solutions. In this embodiment, optionally, the blind area of ​​the result image is analyzed to obtain a numerical relationship between the artifact proportion and the effective proportion, including: analyzing the pairwise correlation between multiple scan lines in the blind area of ​​the result image, and obtaining a numerical relationship between the artifact proportion and the effective proportion based on the correlation analysis results. Among them, the explanations of the terms that are the same or corresponding to the above-mentioned embodiments are not repeated here.

[0096] See also Figure 6 The method of this embodiment may specifically include the following steps:

[0097] S410 , obtaining a current frame image obtained by performing intravascular ultrasound imaging on a target blood vessel, and removing artifacts in a blind area of ​​the current frame image using pre-obtained artifact parameters to obtain a result image.

[0098] S420, analyzing the pairwise correlations between the plurality of scanning lines in the blind area of ​​the result image for the artifact signal and the effective signal in the blind area of ​​the result image, and obtaining a numerical relationship between the artifact proportion and the effective proportion according to the correlation analysis result;

[0099] The artifact ratio is the ratio of the artifact signal to the total signal in the blind area of ​​the result image, and the effective ratio is the ratio of the effective signal to the total signal.

[0100] Among them, it is found in practice that the artifact signal in the blind area is stable, while the effective signal in the blind area is unstable, so the numerical relationship of proportion can be obtained by analyzing the pairwise correlation between multiple scanning lines in the blind area. For example, when the difference between the pairwise correlations is small, it means that the proportion of the artifact signal in the blind area is large, and the numerical relationship of proportion that the artifact proportion is greater than the effective proportion can be obtained; otherwise, the numerical relationship of proportion that the artifact proportion is less than the effective proportion can be obtained.

[0101] S430 , adjusting the artifact parameters according to the numerical relationship of the proportions to obtain adjusted parameters.

[0102] S440 , obtaining a next frame of image obtained by performing intravascular ultrasound imaging on the target blood vessel, and removing artifacts in a blind area of ​​the next frame of image using the adjusted parameters.

[0103] The technical solution of the embodiment of the present invention achieves accurate acquisition of the numerical relationship of the proportions by analyzing the pairwise correlations between multiple scanning lines in the blind area.

[0104] An optional technical solution is to analyze the pairwise correlation between multiple scan lines in the blind area of ​​the result image, and obtain the numerical relationship between the artifact ratio and the effective ratio based on the correlation analysis result, including:

[0105] For each two scanning lines whose correlation needs to be analyzed among the plurality of scanning lines in the blind area of ​​the result image, the correlation between the two scanning lines is analyzed to obtain a correlation analysis result;

[0106] Performing statistical analysis on multiple correlation analysis results to obtain statistical analysis results;

[0107] According to the statistical analysis results, the numerical relationship between the artifact proportion and the effective proportion was obtained.

[0108] Wherein, correlation analysis is performed on every two scan lines whose correlation needs to be analyzed among the multiple scan lines to obtain corresponding correlation analysis results. For example, taking the nth scan line among the multiple scan lines as an example, the correlations between the nth scan line and the n-2th scan line, the n-1th scan line, the n+1th scan line and the n+2th scan line can be analyzed respectively, thereby obtaining four correlation analysis results corresponding to the nth scan line.

[0109] Further, after the correlation analysis is completed, the multiple correlation analysis results obtained can be statistically analyzed to obtain statistical analysis results. In the present technical solution, the statistical analysis results can be optionally represented by mean and / or variance, etc., which are not specifically limited here.

[0110] Furthermore, according to the statistical analysis results, a numerical relationship of proportion is obtained. For example, here, taking the statistical analysis results represented by variance as an example, when the variance is less than the preset variance threshold, the numerical relationship of proportion represents that the proportion of artifacts is greater than the effective proportion, and the adjustment direction of the artifact parameters can be an increase direction; when the variance is greater than or equal to the preset variance threshold, the numerical relationship of proportion represents that the proportion of artifacts is less than or equal to the effective proportion, and the adjustment direction can be a decrease direction.

[0111] The above technical solution achieves accurate acquisition of the numerical relationship of the proportion by performing statistical analysis on multiple correlation analysis results.

[0112] In order to better understand the above-mentioned various technical solutions and their related solutions as a whole, the following is an exemplary description with reference to specific examples. Figure 7 The specific implementation process is as follows:

[0113] 1. For the current frame image reconstructed based on the ultrasonic radio frequency signal, obtain the spatial domain parameters of the blind area of ​​the current frame image, that is, the number of sampling points (that is, the first number above) K of the sampling points on each scanning line.

[0114] At this time, the ultrasonic radio frequency signal is represented as a three-dimensional array of M×N×K, where M is the number of frames and N is the number of scan lines in each frame image. The M dimension has time information and the N dimension has space information.

[0115] 2. Joint space-time coding, the optional coding schemes are:

[0116] The M×N×K three-dimensional array is represented as an MN×K two-dimensional array, and the following formula is used to encode it in the first dimension (that is, the MN dimension when the joint space is used):

[0117]

[0118] Among them, pos ∈ [1, MN] is the position of the scan line in the MN dimension, and PRF is the pulse emission frequency. That is, each scan line in the current frame image is encoded based on the above formula.

[0119] Encoding is performed using a linear chirp encoding method in the second dimension (i.e., the K dimension), and its starting frequency and ending frequency are determined according to the amplitude-frequency characteristic curve of the ultrasonic sensor.

[0120] An encoded image is obtained according to the encoding results corresponding to the two dimensions respectively.

[0121] 3. Joint space-time SVD filtering:

[0122] The SVD filtering performance depends on the reasonable selection of the singular value λ i . In order to remove the artifact signal, an artifact threshold α needs to be set. When , {λ i , i < n} is discarded, and the artifact signal is removed based on this. That is, the encoded image is used as the input of the SVD filtering algorithm, and combined with the artifact threshold α, the area corresponding to the blind area in the encoded image is filtered to remove the artifact signal in this area, and an artifact-removed image is obtained.

[0123] 4. Joint space-time decoding:

[0124] Referring to the joint space-time encoding process, joint space-time decoding is performed on the artifact-removed image, thereby completing the artifact removal process of the current frame image.

[0125] On this basis, a parameter adjuster can be used to adjust the artifact threshold α by analyzing the artifact removal effect of the current frame image, and the adjusted artifact threshold α is used for the artifact removal process of the next frame image.

[0126] In the above example, based on joint space-time encoding and decoding, the artifact threshold α is adjusted by the artifact removal effect of the current frame image and applied to the next frame image. Thus, while removing as many artifact signals as possible, as many effective signals as possible can be retained, thereby improving the artifact removal effect.

[0127] Figure 8 FIG. is a structural block diagram of an artifact removal device for intravascular ultrasound imaging provided by an embodiment of the present invention. The device is used to execute the artifact removal method for intravascular ultrasound imaging provided in any of the above embodiments. The device and the artifact removal method for intravascular ultrasound imaging in the above various embodiments belong to the same inventive concept. Details not described in detail in the embodiment of the artifact removal device for intravascular ultrasound imaging can refer to the embodiments of the artifact removal method for intravascular ultrasound imaging. See Figure 8The device may specifically include: a result image obtaining module 510, a ratio value relationship obtaining module 520, an adjusted parameter obtaining module 530 and an artifact removal module 540.

[0128] A result image obtaining module 510 is used to obtain a current frame image obtained by performing intravascular ultrasound imaging on a target blood vessel, and remove artifacts in a blind area of ​​the current frame image using pre-obtained artifact parameters to obtain a result image;

[0129] A ratio value relationship obtaining module 520 is used to analyze the blind area of ​​the result image with respect to the artifact signal and the effective signal in the blind area of ​​the result image, and obtain a ratio value relationship related to the artifact signal and the effective signal;

[0130] The adjusted parameter obtaining module 530 is used to adjust the artifact parameter according to the ratio value relationship to obtain the adjusted parameter;

[0131] The artifact removal module 540 is used to obtain the next frame of image obtained by performing intravascular ultrasound imaging on the target blood vessel, and to remove artifacts in the blind area of ​​the next frame of image using the adjusted parameters.

[0132] Optionally, the proportion value relationship obtaining module 520 may include:

[0133] The submodule for obtaining the numerical relationship of the proportion is used to analyze the blind area of ​​the result image to obtain the numerical relationship between the artifact proportion and the effective proportion, wherein the artifact proportion is the proportion of the artifact signal in the total signal in the blind area of ​​the result image, and the effective proportion is the proportion of the effective signal in the total signal.

[0134] On this basis, an optional submodule for obtaining a percentage value relationship may include:

[0135] A second number obtaining unit is used to analyze the scan line in the blind area of ​​the result image to obtain a first number of sampling points on the scan line and a second number of sampling points whose intensity is less than a preset intensity threshold;

[0136] The first ratio numerical relationship obtaining unit can be used to obtain the ratio numerical relationship between the artifact ratio and the effective ratio according to the ratio of the second quantity to the first quantity.

[0137] On this basis, optionally, when the quantity ratio is greater than the preset ratio threshold, the ratio numerical relationship indicates that the artifact ratio is greater than the effective ratio, and the adjustment direction of the artifact parameter is the increase direction; and / or,

[0138] When the quantity ratio is less than or equal to the preset ratio threshold, the ratio numerical relationship indicates that the artifact ratio is less than or equal to the effective ratio, and the adjustment direction is a decreasing direction.

[0139] Alternatively, the proportion value relationship obtaining submodule may include:

[0140] The second ratio numerical relationship obtaining unit is used to analyze the pairwise correlation between the plurality of scanning lines in the blind area of ​​the result image, and obtain the ratio numerical relationship between the artifact ratio and the effective ratio according to the correlation analysis result.

[0141] On this basis, optionally, the proportion numerical relationship is secondly obtained as a unit, which is specifically used for:

[0142] For each two scanning lines whose correlation needs to be analyzed among the plurality of scanning lines in the blind area of ​​the result image, the correlation between the two scanning lines is analyzed to obtain a correlation analysis result;

[0143] Performing statistical analysis on multiple correlation analysis results to obtain statistical analysis results;

[0144] According to the statistical analysis results, the numerical relationship between the artifact proportion and the effective proportion was obtained.

[0145] On this basis, optionally, the statistical analysis results are variance;

[0146] When the variance is less than the preset variance threshold, the numerical relationship of the proportion indicates that the proportion of artifacts is greater than the effective proportion, and the adjustment direction of the artifact parameter is the increasing direction; and / or,

[0147] When the variance is greater than or equal to the preset variance threshold, the numerical relationship of the proportion indicates that the artifact proportion is less than or equal to the effective proportion, and the adjustment direction is a decreasing direction.

[0148] Optionally, the result image obtaining module 510 may include:

[0149] The blind area filtering unit is used to filter the blind area of ​​the current frame image according to the pre-obtained artifact parameters by using the singular value decomposition filtering algorithm, so as to remove the artifacts in the blind area of ​​the current frame image.

[0150] On this basis, optionally, the artifact parameter is an artifact threshold, a blind area filtering unit, and is specifically used for:

[0151] By using a singular value decomposition filtering algorithm, filtering the blind area of ​​the current frame image according to a threshold value relationship between a sum of multiple singular values ​​and a pre-obtained artifact threshold;

[0152] The singular values ​​are elements on the main diagonal of the diagonal matrix, and the diagonal matrix is ​​obtained by performing matrix decomposition related to the blind area of ​​the current frame image through a singular value decomposition filtering algorithm.

[0153] Based on any of the above artifact removal devices, optionally, the device may further include:

[0154] A repetitive execution module is used to repeat the above steps after removing artifacts in the blind area of ​​the next frame image using the adjusted parameters, until a preset end condition is met, wherein the preset end condition includes at least one of the following:

[0155] The artifact removal process of the last frame image has been completed, wherein the last frame image is obtained by performing intravascular ultrasound imaging on the target blood vessel;

[0156] The adjusted parameter is less than or equal to a preset first parameter threshold; and,

[0157] The adjusted parameter is greater than or equal to a preset second parameter threshold, wherein the second parameter threshold is greater than the first parameter threshold.

[0158] The artifact removal device for intravascular ultrasound imaging provided by the embodiment of the present invention obtains the current frame image obtained by intravascular ultrasound imaging for the target blood vessel through the result image obtaining module, and performs artifact removal in the blind area of ​​the current frame image using the pre-obtained artifact parameters to obtain the result image; analyzes the blind area of ​​the result image for the artifact signal and the effective signal in the blind area of ​​the result image through the proportion numerical relationship obtaining module, and obtains the proportion numerical relationship related to the artifact signal and the effective signal, and the proportion numerical relationship can characterize the artifact removal effect of the current frame image, that is, characterizes whether the artifact parameter is conducive to removing more artifact signals; then, the artifact parameter is adjusted according to the proportion numerical relationship through the adjusted parameter obtaining module to obtain the adjusted parameter, which is conducive to removing more artifact signals compared with the artifact parameter; the next frame image obtained by intravascular ultrasound imaging for the target blood vessel is obtained through the artifact removal module, and the artifact removal is performed in the blind area of ​​the next frame image using the adjusted parameter. The above-mentioned device adjusts the artifact parameters according to the artifact removal effect of the current frame image to obtain the adjusted parameters, and then applies the adjusted parameters to the artifact removal process of the next frame image, thereby achieving the goal of removing as many artifact signals as possible while retaining as many valid signals as possible.

[0159] The artifact removal device for intravascular ultrasound imaging provided by the embodiment of the present invention can execute the artifact removal method for intravascular ultrasound imaging provided by any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0160] It is worth noting that in the above-mentioned embodiment of the artifact removal device suitable for intravascular ultrasound imaging, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0161] Fig. 9 A schematic diagram of the structure of an artifact removal device (hereinafter referred to as an artifact removal device) 10 suitable for intravascular ultrasound imaging that can be used to implement an embodiment of the present invention is shown. The artifact removal device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The artifact removal device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0162] like Fig. 9 As shown, the artifact removal device 10 may include at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the artifact removal device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0163] A number of components in the artifact removal device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the artifact removal device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0164] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as an artifact removal method.

[0165] In some embodiments, the artifact removal method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the artifact removal device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the artifact removal method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the artifact removal method in any other appropriate manner (e.g., by means of firmware).

[0166] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0167] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine as a stand-alone software package and partially on a remote machine, or entirely on a remote machine or server.

[0168] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0169] To provide interaction with a user, the systems and techniques described herein may be implemented on an artifact removal device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the artifact removal device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and the input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0170] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0171] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0172] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0173] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for removing artifacts in intravascular ultrasound imaging, characterized in that: include: Acquire a current frame image obtained by intravascular ultrasound imaging of a target blood vessel, and remove artifacts in a blind area of ​​the current frame image using pre-obtained artifact parameters to obtain a result image; Analyzing the blind area of ​​the result image for the artifact signal and the valid signal in the blind area of ​​the result image to obtain a numerical relationship of the proportions related to the artifact signal and the valid signal; According to the numerical relationship of the proportions, the artifact parameters are adjusted to obtain adjusted parameters; A next frame of image obtained by performing intravascular ultrasound imaging on the target blood vessel is acquired, and artifacts are removed in a blind area of ​​the next frame of image using the adjusted parameters.

2. The method according to claim 1, characterized in that The analyzing the blind area of ​​the result image to obtain a numerical relationship of a proportion related to the artifact signal and the effective signal includes: The blind area of ​​the result image is analyzed to obtain a numerical relationship between the artifact ratio and the effective ratio, wherein the artifact ratio is the ratio of the artifact signal to all signals in the blind area of ​​the result image, and the effective ratio is the ratio of the effective signal to all signals.

3. The method according to claim 2, characterized in that The analyzing the blind area of ​​the result image to obtain the numerical relationship between the artifact proportion and the effective proportion includes: Analyze the scan lines in the blind area of ​​the result image to obtain a first number of sampling points on the scan lines and a second number of the sampling points whose intensities are less than a preset intensity threshold; According to the ratio of the second number to the first number, a numerical relationship between the artifact ratio and the effective ratio is obtained.

4. The method according to claim 3, characterized in that When the number ratio is greater than a preset ratio threshold, the ratio numerical relationship indicates that the artifact ratio is greater than the effective ratio, and the adjustment direction of the artifact parameter is an increasing direction; and / or, When the quantity ratio is less than or equal to the preset ratio threshold, the ratio numerical relationship indicates that the artifact ratio is less than or equal to the effective ratio, and the adjustment direction is a decreasing direction.

5. The method according to claim 2, characterized in that: The analyzing the blind area of ​​the result image to obtain the numerical relationship between the artifact proportion and the effective proportion includes: The pairwise correlations between the plurality of scanning lines in the blind area of ​​the result image are analyzed, and a numerical relationship between the artifact proportion and the effective proportion is obtained according to the correlation analysis result.

6. The method according to claim 5, characterized in that The pairwise correlation analysis between the plurality of scanning lines in the blind area of ​​the result image is performed, and a numerical relationship between the artifact proportion and the effective proportion is obtained according to the correlation analysis result, including: For each two scan lines whose correlation needs to be analyzed among the plurality of scan lines in the blind area of ​​the result image, the correlation between the two scan lines is analyzed to obtain a correlation analysis result; Performing statistical analysis on the multiple correlation analysis results to obtain statistical analysis results; According to the statistical analysis results, a numerical relationship between the artifact proportion and the effective proportion is obtained.

7. The method according to claim 6, characterized in that The statistical analysis results are variance; In the case where the variance is less than the preset variance threshold, the numerical relationship of the proportion indicates that the artifact proportion is greater than the effective proportion, and the adjustment direction of the artifact parameter is an increasing direction; and / or, When the variance is greater than or equal to the preset variance threshold, the numerical relationship of the proportion represents that the artifact proportion is less than or equal to the effective proportion, and the adjustment direction is a decreasing direction.

8. The method according to claim 1, characterized in that: The using the pre-obtained artifact parameters to perform artifact removal in the blind area of ​​the current frame image includes: By using a singular value decomposition filtering algorithm, the blind area of ​​the current frame image is filtered according to the pre-obtained artifact parameters, so as to remove artifacts in the blind area of ​​the current frame image.

9. The method according to claim 8, characterized in that The artifact parameter is an artifact threshold, and filtering the blind area of ​​the current frame image according to the pre-obtained artifact parameter by using a singular value decomposition filtering algorithm to remove artifacts in the blind area of ​​the current frame image includes: By using a singular value decomposition filtering algorithm, filtering the blind area of ​​the current frame image according to a threshold value relationship between a sum of multiple singular values ​​and a pre-obtained artifact threshold; The singular values ​​are elements on the main diagonal of a diagonal matrix, and the diagonal matrix is ​​obtained by performing matrix decomposition related to the blind area of ​​the current frame image through the singular value decomposition filtering algorithm.

10. The method according to any one of claims 1 to 9, characterized in that: After removing artifacts in the blind area of ​​the next frame image by using the adjusted parameters, the method further includes: Repeat the above steps until a preset end condition is met, wherein the preset end condition includes at least one of the following: The artifact removal process of the last frame image has been completed, wherein the last frame image is obtained by performing intravascular ultrasound imaging on the target blood vessel; The adjusted parameter is less than or equal to a preset first parameter threshold; and The adjusted parameter is greater than or equal to a preset second parameter threshold, wherein the second parameter threshold is greater than the first parameter threshold.

11. An artifact removal device suitable for intravascular ultrasound imaging, characterized in that: include: A result image obtaining module, used for obtaining a current frame image obtained by intravascular ultrasound imaging of a target blood vessel, and removing artifacts in a blind area of ​​the current frame image using pre-obtained artifact parameters to obtain a result image; A module for obtaining a ratio numerical relationship, for analyzing the blind area of ​​the result image with respect to the artifact signal and the effective signal in the blind area of ​​the result image, and obtaining a ratio numerical relationship related to the artifact signal and the effective signal; An adjusted parameter obtaining module is used to adjust the artifact parameter according to the numerical relationship of the proportion to obtain the adjusted parameter; The artifact removal module is used to obtain a next frame of image obtained by intravascular ultrasound imaging of the target blood vessel, and to remove artifacts in a blind area of ​​the next frame of image using the adjusted parameters.

12. An artifact removal device suitable for intravascular ultrasound imaging, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor performs the artifact removal method applicable to intravascular ultrasound imaging according to any one of claims 1 to 10.

13. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the artifact removal method applicable to intravascular ultrasound imaging as described in any one of claims 1 to 10 when executed.

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