CN111671464A - Image marking method, device, equipment and readable storage medium - Google Patents
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Abstract
The invention discloses an image marking method, which comprises the following steps: acquiring a target image and shear wave motion information corresponding to the target image; filtering the shear wave motion information by using a directional filter in a preset direction, and calculating target data corresponding to the shear wave motion information; marking the target image by using the target data to obtain a marked image; according to the method, after shear wave motion information is obtained, a directional filter is used for filtering the shear wave motion information, the directional filter can filter motion noise interference on the shear wave motion information caused by motion of a corresponding position of a target image, therefore, the corresponding target data is calculated after filtering, the target image is marked by the directional filter to obtain a marked image, and the accuracy of the marked image can be improved; in addition, the invention also provides an image marking device, an image marking device and a computer readable storage medium, which also have the beneficial effects.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an image marking method, an image marking apparatus, an image marking device, and a computer-readable storage medium.
Background
With the improvement of living standard of people, angiopathy, particularly acute and severe large blood vessels, is more and more, and ultrasonic examination is increasingly applied to the acute and severe diseases due to the characteristics of convenience and rapidness in examination, repeated examination and the like. Ultrasonic examination can obtain the ultrasonic image, can make and discover the tiny pathological change such as elasticity, hardness and blood flow, the blood pressure change of vascular wall, especially the first, early slight change at the pathological change initial stage through observing the ultrasonic image, and then make the early warning, win the time for patient's early treatment and rescue to save patient's life.
However, at present, ultrasound examination has a lot of uncertainty for early detection of large vessel lesions, and most of the clinically applied shear wave elastography ultrasound techniques are applied to examination of organs with weak relative motion, such as liver and breast, that is, to acquisition of ultrasound images of organs with weak relative motion. Because blood in the blood vessel flows, the blood vessel can continuously beat and is in a motion state with slightly high relative motion degree, when the data acquired by the existing shear wave elastography ultrasonic technology is used for marking the image of the blood vessel, the accuracy degree of the acquired marked image is low, so that the diagnosis result made according to the marked image is not accurate enough, and the diagnosis accuracy is low.
Therefore, how to solve the problem that the accuracy of a marker image obtained by the existing shear wave elastography ultrasonic technology is low is a technical problem to be solved by the technical personnel in the field.
Disclosure of Invention
In view of the above, the present invention provides an image marking method, an image marking device, an image marking apparatus, and a computer readable storage medium, which solve the problem of low accuracy of a marked image obtained by the existing shear wave elastography ultrasound technology.
In order to solve the above technical problem, the present invention provides an image marking method, including:
acquiring a target image and shear wave motion information corresponding to the target image;
filtering the shear wave motion information by using a directional filter in a preset direction, and calculating target data corresponding to the shear wave motion information;
and marking the target image by using the target data to obtain a marked image.
Optionally, the filtering the shear wave motion information by using a directional filter in a preset direction, and calculating target data corresponding to the shear wave motion information includes:
obtaining displacement estimation information according to the shear wave motion information;
filtering the displacement estimation information by using the directional filter to obtain target displacement estimation information;
obtaining the shear wave velocity according to the target displacement estimation information;
and calculating according to the Young modulus calculation formula by using the shear wave speed to obtain the target data.
Optionally, the obtaining displacement estimation information according to the shear wave motion information includes:
performing autocorrelation processing on the shear wave motion information to obtain displacement estimation information;
correspondingly, the obtaining the shear wave velocity according to the target displacement estimation information includes:
and performing cross-correlation processing on the target displacement estimation information to obtain the shear wave velocity.
Optionally, the acquiring the target image includes:
acquiring an ultrasonic image;
performing level set segmentation algorithm processing on the ultrasonic image according to the pixel value of each pixel point on the ultrasonic image to obtain a vascular wall image and a cavity image;
and filtering the cavity image, and determining the blood vessel wall image as the target image.
Optionally, acquiring shear wave motion information corresponding to the target image includes:
transmitting a long ultrasonic pulse to a target point to generate a shear wave;
transmitting a plurality of short pulses to a plurality of interested areas close to a target point, and receiving ultrasonic echo data;
and carrying out beam synthesis processing and demodulation processing on the ultrasonic echo data to obtain the shear wave motion information.
Optionally, the marking the target image by using the target data to obtain a marked image includes:
performing comparison operation by using the target data to obtain a comparison result;
and marking the target image according to the comparison result to obtain the marked image.
Optionally, the performing a comparison operation by using the target data to obtain a comparison result includes:
judging whether the target data is in a corresponding preset range or not;
if the target data is not in the preset range, determining that the comparison result is abnormal;
and if the target data is within the preset range, determining that the comparison result is normal.
Optionally, the marking the target image according to the comparison result to obtain the marked image includes:
when the comparison result is abnormal, determining a pixel point corresponding to the target data, and performing abnormal marking on the pixel point;
when the comparison result is normal, determining the pixel points corresponding to the target data, and normally marking the pixel points;
and when all the pixel points in the target image are marked, determining to obtain the marked image.
Optionally, after obtaining the marker image, the method further includes:
and outputting the marked image through a preset port.
The present invention also provides an image marking apparatus comprising:
the acquisition module is used for acquiring a target image and shear wave motion information corresponding to the target image;
the filtering module is used for filtering the shear wave motion information by using a directional filter in a preset direction and calculating target data corresponding to the shear wave motion information;
and the marking module is used for marking the target image by using the target data to obtain a marked image.
The present invention also provides an image marking apparatus comprising a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor is configured to execute the computer program to implement the image marking method.
The invention also provides a computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the image tagging method described above.
The image marking method provided by the invention comprises the steps of obtaining a target image and shear wave motion information corresponding to the target image; filtering the shear wave motion information by using a directional filter in a preset direction, and calculating target data corresponding to the shear wave motion information; and marking the target image by using the target data to obtain a marked image.
Therefore, after the shear wave motion information is obtained, the direction filter is used for filtering the shear wave motion information, the direction filter can filter motion noise interference on the shear wave motion information caused by motion of a corresponding position of a target image, the target data corresponding to the shear wave motion information is calculated after filtering, the target image is marked by the direction filter to obtain a marked image, the accuracy of the marked image can be improved, accurate diagnosis can be made according to the marked image, the accuracy of diagnosis is improved, and the problem that the accuracy of the marked image obtained by the existing shear wave elastic imaging ultrasonic technology is low is solved.
In addition, the invention also provides an image marking device, an image marking device and a computer readable storage medium, which also have the beneficial effects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flowchart of an image marking method according to an embodiment of the present invention;
FIG. 2 is a flowchart of an image and information acquisition method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an ultrasound image acquisition process according to an embodiment of the present invention;
FIG. 4 is a flow chart of a marking method according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an image marking apparatus according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an image marking apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In normal blood vessels and other tissues, various cells and extracellular matrix components have precise relative proportions and specific relative spatial positions, and the structure, the function and the metabolic state of the cells and the extracellular matrix are precisely controlled through direct signal transmission between the cells and the extracellular matrix, so that the micro-ecological system becomes a relatively stable micro-ecological system.
With the improvement of living standard of people, angiopathy, particularly acute and serious large blood vessels, is more and more. From a dynamic perspective, fibroplasia refers to an increase in the synthesis of various extracellular matrices, while fibrolysis refers to an extracellular matrix degradation process. The occurrence, development and progression of vascular lesions are dependent on the extent of fibrotic lesions in the vascular cell wall.
The aortic lesions (large vessel lesions) are increasingly common along with the increasing trend of the aging population, and are related to the increase of the population suffering from the current vessel diseases, wherein more than 80-90 percent of patients suffering from hypertension and arteriosclerosis are involved in the patients, and the results are finally reflected in the pathological changes of the vessels, in particular the pathological changes (thickening and hardening) of the membrane structure of the vessel wall. For early lesions of blood vessels, it is possible to examine the direction of changes in physiological structures such as stiffness of the blood vessel (elasticity of the vessel wall, ability to adjust the pressure to be applied, etc.), and to finally diagnose the lesion by combining various other examination methods.
The ultrasound is characterized by convenient and fast inspection, repeated inspection for many times and the like, is increasing in the application of critical examination, and along with the continuous improvement of the fine resolution of the current ultrasound instrument, the ultrasound image obtained by the ultrasound technology has better and better effect, and can clearly show the fine physiological structure change of the human body. The new technology of ultrasonic imaging (shear wave elastography) provides technical support for providing accurate and clear ultrasonic images. However, most of the current shear wave elastography techniques are applied to large and relatively weak tissue organs such as breast and liver, i.e. to an observation target position and an organ with relatively weak degree of relative motion. However, since organs such as blood vessels are in a state of constant motion, when images and/or data of such organs are acquired by using an ultrasound technology or a shear wave elastography technology, the images and/or data acquired are affected by noise generated by the motion of the organs, so that the acquired images and/or data are not accurate enough, and the accuracy of a labeled image obtained by a subsequent labeling operation using the images and data is also reduced. These inaccurate images and data do not provide reliable judgment information for the doctor, thereby reducing the diagnosis accuracy of the doctor.
In order to solve the above problems, the present application provides an image marking method. Specifically, in a possible implementation manner, please refer to fig. 1, and fig. 1 is a flowchart of an image marking method according to an embodiment of the present invention. The method comprises the following steps:
s101: and acquiring a target image and shear wave motion information corresponding to the target image.
The target image is an ultrasound image, and specifically, may be an ultrasound image obtained by using a shear wave elastography technique or other ultrasound imaging techniques. The target image is an image corresponding to the target position, and the specific content of the target position is not limited in this embodiment, and may be, for example, an organ with a slightly high relative motion degree, such as a blood vessel and a stomach, or an organ with a relatively weak relative motion degree, such as a liver. The target image may be the entire ultrasound image or a part of a certain ultrasound image, for example, a rectangular region with a length and a width a and b in the center of a certain ultrasound image may be selected as the target image according to actual needs.
The shear wave motion information corresponds to the target image, and the concrete representation form thereof can be selected according to actual needs, for example, the shear wave motion information can be in the form of radio frequency RF data or in the form of quadrature IQ data. The shear wave motion information includes a plurality of sets of data, and each pixel point in the target image corresponds to each set or a plurality of sets of data, i.e., the corresponding relationship may be one-to-one correspondence or one-to-many correspondence. And the data corresponding to each pixel point is used for generating target data corresponding to the pixel point, and then the target data is utilized to mark the target image. In this embodiment, the order of acquiring the shear wave motion information and the target image is not limited, for example, the shear wave motion information may be acquired first, and then the target image may be acquired; or the target image can be acquired first, and then the shear wave motion information can be acquired; or may be acquired both at the same time, i.e. the shear wave motion information is acquired at the same time as the target image is acquired.
S102: and filtering the shear wave motion information by using a directional filter in a preset direction, and calculating target data corresponding to the shear wave motion information.
After the shear wave motion information and the target image are obtained, the shear wave motion information is filtered by using a directional filter. It should be noted that the directional filter has a preset direction, that is, a signal in a certain fixed direction is filtered, and a signal in another direction or another fixed direction is retained. In this embodiment, the specific orientation of the preset direction may be set according to actual needs, for example, when the target position corresponding to the target image is a certain blood vessel and the blood vessel is in the up-down direction, the directional filter may be set to be in the up-down direction, that is, signals in the up-down direction are retained, and signals in other directions are filtered. After the shear wave motion information is filtered by the directional filter, noise generated by motion in the shear wave motion information can be filtered, so that the accuracy of generated target data is improved.
The present embodiment does not limit when the directional filter is used to filter the shear wave motion information, and the filtering timing can be selected as needed. For example, the shear wave motion information may be filtered immediately after it is obtained, or it may be filtered with a directional filter after one or more processing of the shear wave motion information.
The specific content of the target data can be various, and in a possible embodiment, the target data can be elastic data used for representing the elastic condition of an organ; in another possible embodiment, the target data may be other types of data, such as substance concentration data, fiber density data, and the like. The specific content of the target data is related to the calculation mode and the processing mode of the shear wave motion information. It should be noted that the target data corresponds to the shear wave motion information, and therefore, includes multiple sets of data, where each set of data corresponds to one pixel point in the target image, and is used to mark the target image in the following. The expression form of the target data is related to the calculation method thereof, which is not limited in this embodiment.
S103: and marking the target image by using the target data to obtain a marked image.
And after the target data is obtained, marking the target image by using the target data to finally obtain a marked image. Since the shear wave motion information is filtered by the directional filter in step S102, the obtained target data is more accurate, and the accuracy of the marked image obtained by marking the target image with the target data is also higher. The embodiment does not limit the specific marking method, and for example, a color marking method may be adopted, that is, the color of each pixel point is changed according to the pre-established corresponding relationship between the target data and the color, so as to complete the marking of the target image, and obtain a marked image; or a range marking method can be adopted, and the pixel points corresponding to the target data within a certain preset range are circled by using a wire frame to finish the marking of the target image, so that the marked image is obtained.
By applying the image marking method provided by the embodiment of the invention, after the shear wave motion information is obtained, the shear wave motion information is filtered by using the directional filter, and the directional filter can filter motion noise interference on the shear wave motion information caused by the motion of the corresponding position of the target image, so that the corresponding target data is calculated after filtering, and the target image is marked by using the directional filter to obtain the marked image, so that the accuracy of the marked image can be improved, the accurate diagnosis can be made according to the marked image, the accuracy of the diagnosis is improved, and the problem of lower accuracy of the marked image obtained by the existing shear wave elastic imaging ultrasonic technology is solved.
Based on the above embodiment, in a possible implementation manner, in order to prevent the influence of the cavity and improve the marking accuracy, the acquired ultrasound image may be segmented and filtered to obtain the target image. Referring to fig. 2 in detail, fig. 2 is a flowchart of an image and information obtaining method according to an embodiment of the present invention, including:
s201: a long ultrasonic pulse is transmitted to the target point to generate a shear wave.
In the embodiment of the present invention, the target position is specifically a certain section of a blood vessel position, and the target point is any point on the target position, which can be specifically selected according to actual needs. To generate an ultrasound image, a long pulse of ultrasound needs to be transmitted to the target point in order to generate shear waves. Specifically, referring to fig. 3, fig. 3 is a schematic diagram of an ultrasound image acquiring process according to an embodiment of the present invention. The step S201 is an excitation part, specifically, single focus transmission is performed by using an ultrasonic long pulse (not limited to an acoustic radiation force pulse), that is, the ultrasonic long pulse is transmitted to a target point once, and a shear wave is generated at the target position, thereby completing the excitation process. It should be noted that, during the excitation process, the ultrasonic echo data corresponding to the target position is not received.
S202: a plurality of short pulses are transmitted to a region of interest adjacent to the target point and ultrasound echo data is received.
After the ultrasonic long pulse is transmitted once, the conventional short pulse is transmitted to the region of interest close to the target point, the specific size and shape of the region of interest close to the target point are not limited, for example, a region other than a few millimeters around the target point can be used as the region of interest, for example, a region other than 1 millimeter or two millimeters is determined as the region of interest, and specifically, the conventional short pulse detection beam is transmitted multiple times on the propagation path of the shear wave. As can be seen from fig. 3, the location of the emission of the short pulses is a region of interest close to the target point, but the location of the emission of the short pulses may not be exactly the same for a plurality of times. After transmitting a short pulse, receiving reflected ultrasonic echo data so as to obtain shear wave motion information subsequently. The ultrasound echo data varies with the target position, and the specific content is not limited in this embodiment.
S203: and carrying out beam synthesis processing and demodulation processing on the ultrasonic echo data to obtain shear wave motion information.
After the ultrasonic echo data are obtained, beam synthesis processing and demodulation processing are carried out on the ultrasonic echo data. The beamforming process may be performed by processing (e.g., weighting, delaying, summing, etc.) the outputs of each array element of a multi-element array arranged in a geometric shape (e.g., straight line, cylinder, arc, etc.) to have spatial directivity. After the beam synthesis processing and the demodulation processing, the shear wave motion information can be obtained, and the shear wave motion information can be in a Radio Frequency (RF) data form or a quadrature (IQ) data form.
S204: an ultrasound image is acquired.
The ultrasonic image may be constructed by using the ultrasonic echo data, or may be constructed by using other manners, and the embodiment is not limited to the method for acquiring the ultrasonic image. It should be noted that the ultrasound image is an image corresponding to a target position, and in this embodiment, the target position is specifically a blood vessel position. Since the blood vessel includes a vessel wall and a cavity, when generating the marker image, in order to ensure the marker accuracy and avoid interference of the cavity portion, the ultrasound image at the target position is segmented and filtered in this embodiment, specifically refer to step S205 and step S206.
S205: and segmenting the ultrasonic image according to the pixel value of each pixel point on the ultrasonic image to obtain a vascular wall image and a cavity image.
Before filtering the lumen image, it is necessary to distinguish the vessel wall image from the lumen image in order to segment it. Specifically, because the tissue form and the content of vascular wall and cavity are different, when reflecting the pixel value of pixel point on the ultrasonic image, the pixel value of corresponding pixel point of vascular wall and cavity has the difference, consequently can distinguish cavity region and vascular wall region according to the pixel value of each pixel point on the ultrasonic image, and then cut apart the processing. In this embodiment, the ultrasound image may be segmented by a level set segmentation algorithm. Level sets are a special set in the field of mathematics, having the following form: { (x 1., xn) | f (x 1., xn) ═ c }, where c is a constant. In another possible embodiment, the ultrasound image may also be segmented by using other methods such as a snake segmentation method, and the like, so as to obtain the blood vessel wall image and the cavity image.
S206: and filtering the cavity image, and determining the blood vessel wall image as a target image.
After the blood vessel wall image and the cavity image are obtained, the cavity image is filtered, so that the subsequent marking accuracy is prevented from being influenced, and the blood vessel wall image is determined as a target image so as to perform subsequent operation.
Based on the above embodiment, in another possible implementation, the target data may be represented in the form of young's modulus, and the image may be marked using young's modulus as the target data and output after generating the marked image. Referring to fig. 4, fig. 4 is a flowchart of a marking method according to an embodiment of the present invention, including:
s401: and obtaining displacement estimation information according to the shear wave motion information.
After the shear wave motion information is obtained, displacement estimation information (or referred to as displacement calculation information) may be obtained according to the shear wave motion information, in this embodiment, the displacement estimation information may be obtained by using an autocorrelation processing method, that is, before the shear wave motion information is filtered, autocorrelation processing is performed on the shear wave motion information, where the autocorrelation processing may use a 1D autocorrelation method of Kasai, or may use a 2D autocorrelation method of Loupas, or may use other autocorrelation algorithms, and may be set according to actual situations or needs. After the autocorrelation processing, the displacement estimation information corresponding to the shear wave motion information can be obtained. The specific form of the displacement estimation information is not limited in this embodiment, and the expression form of the displacement estimation information may be the same or different according to the method adopted by the autocorrelation processing, and may be an array or a vector, for example. The displacement estimation information is information indicating the displacement of each relevant position point in the region of interest (i.e., the tissue in the region). It should be noted that other methods may be used to process the shear wave motion information as long as the displacement estimation information can be obtained.
S402: and filtering the displacement estimation information by using a directional filter to obtain target displacement estimation information.
After the displacement estimation information is obtained, the displacement estimation information is filtered by using a directional filter. The directional filter has a preset direction, can retain information in the preset direction, and can filter information in other directions, so that interference of invalid information is avoided, for example, noise interference generated by self movement of blood vessels is filtered. After filtering the displacement estimation information, the target displacement estimation information can be obtained. The target displacement estimate information is used to generate shear wave velocity.
S403: and obtaining the shear wave velocity according to the target displacement estimation information.
After the target displacement estimation information is obtained, the shear wave velocity can be obtained by using the target displacement estimation information, so that target data can be obtained through subsequent calculation. The specific method for acquiring the shear wave velocity is not limited in this embodiment, and for example, the shear wave velocity may be obtained by processing the target displacement estimation information in a cross-correlation processing manner. Specifically, the embodiment does not limit the specific method or algorithm adopted by the cross-correlation processing, and the user can select the method according to the actual needs. It should be noted that, in addition to the cross-correlation processing, other calculations or processes may be performed on the target displacement estimation information, and the shear wave velocity may be finally obtained. The details of the other calculation or processing are not limited, and reference may be made to the related art of shear wave velocity calculation.
S404: and calculating by utilizing the shear wave velocity according to a Young modulus calculation formula to obtain target data.
And after the shear wave velocity is obtained, calculating the Young modulus according to a Young modulus calculation formula by utilizing the shear wave velocity, and obtaining target data. Wherein, the Young modulus calculation formula is specifically as follows: e3 × ρ c ^2, c is the shear wave velocity, ρ is the tissue density, E is the young's modulus. Young's modulus is a physical quantity that describes the ability of a solid material to resist deformation, also known as tensile modulus. Proposed in 1807 by the british physicist thomas poplar. The elasticity information of the target position can be accurately represented by utilizing the Young modulus, and then the target image is marked by utilizing the elasticity information to obtain a marked image taking the elasticity information as a marking index.
S405: and carrying out comparison operation by using the target data to obtain a comparison result.
In the embodiment of the invention, the target data is compared to obtain the comparison result, so that the subsequent marking processing is carried out according to the comparison result to obtain the marked image. The specific form and content of the other data compared with the target data in the comparison operation may be set according to the actual situation, for example, may be a preset threshold, or may be a preset range. The preset range may be a range set in advance, or may be a range set by a preset setting method before marking, for example, target data corresponding to each pixel point on the entire target image may be acquired, and the preset range may be obtained by using the target data.
Further, the preset range may be one or multiple, and when there is only one preset range, the condition that the preset range is within the preset range may be marked in a certain form, and the condition that the preset range is not within the preset range may be marked in another form; when there are a plurality of preset ranges, a flag form may be set for each preset range. Specifically, in a possible embodiment, the step S405 may include three steps S4051, S4052, and S4053:
s4051: and judging whether the target data is in the corresponding preset range.
In the embodiment of the invention, only one preset range is provided, the target data is compared with the corresponding preset range to obtain a comparison result, and the target image is marked according to the comparison result. Specifically, the preset range is a range of young's modulus, and the upper and lower limits of the range are not limited in this embodiment.
S4052: and if the target data is not in the preset range, determining that the comparison result is abnormal.
S4053: and if the target data is within the preset range, determining that the comparison result is normal.
In another possible implementation manner, there may be a plurality of preset ranges, the target data is compared with each preset range, the target preset range where the target data is located is determined, and the comparison result is determined as the range information of the target preset range. The range information may be a number, a name, and the like of a preset range, and the specific content is not limited in this embodiment.
S406: and marking the target image according to the comparison result to obtain a marked image.
And after the comparison result is obtained, marking the target image according to the comparison result to obtain a marked image. The different comparison results have different corresponding mark forms, and the mark forms corresponding to the various comparison results can be set by the user according to the actual situation, which is not limited in this embodiment. In one possible embodiment, the step S406 may include three steps S4061, S4062, and S4063:
s4061: and when the comparison result is abnormal, determining pixel points corresponding to the target data, and marking the pixel points with abnormal marks.
In this embodiment, the target image is labeled according to the comparison results of S4051, S4052 and S4053. Specifically, when the comparison result is abnormal, the pixel point corresponding to the target data is determined, and the pixel point is subjected to abnormal marking, wherein the specific form of the abnormal marking can be set according to actual needs, for example, the abnormal marking can be marked as red cross, that is, the red cross is marked on the pixel point corresponding to the target data.
S4062: and when the comparison result is normal, determining pixel points corresponding to the target data, and normally marking the pixel points.
Correspondingly, when the comparison result is normal, the pixel point corresponding to the target data is determined, and the pixel point is normally marked, and the specific form of the normal marking is not limited, for example, only the pixel point is recorded to be normal without any marking, so that the condition that the checking of the marked image is influenced by covering other information is prevented.
S4063: when all the pixels in the target image are marked, the marked image is determined.
And when all the pixel points in the whole target image are marked, determining to obtain a marked image.
Further, in another embodiment, there may be a plurality of preset ranges, the target data is compared with each preset range to determine a target preset range in which the target data is located, and the comparison result is determined as range information of the target preset range. After the range information corresponding to the target data is determined, marking the pixel points corresponding to the target data by using the marking form corresponding to the range information until all the pixel points are marked to obtain a marked image. For example, the different preset ranges are marked with blue, and the color depth of blue corresponding to the different preset ranges is different.
S407: and outputting the marked image through a preset port.
After the label image is obtained, it can be output through a preset port. The preset port can be a physical port, and can be output to a display screen or a storage device through the physical port; the preset port can also be a network port, and the preset port can be used for transmitting to other equipment. The present embodiment does not limit the specific content of the preset port.
In the following, the image marking apparatus provided by the embodiment of the present invention is introduced, and the image marking apparatus described below and the image marking method described above may be referred to correspondingly.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an image marking apparatus according to an embodiment of the present invention, including:
an obtaining module 510, configured to obtain a target image and shear wave motion information corresponding to the target image;
the filtering module 520 is configured to filter the shear wave motion information by using a directional filter in a preset direction, and calculate target data corresponding to the shear wave motion information;
and a marking module 530, configured to mark the target image with the target data to obtain a marked image.
Optionally, the filtering module 520 comprises:
the displacement estimation information acquisition unit is used for acquiring displacement estimation information according to the shear wave motion information;
the filtering unit is used for filtering the displacement estimation information by using a directional filter to obtain target displacement estimation information;
the shear wave velocity obtaining unit is used for obtaining the shear wave velocity according to the target displacement estimation information;
and the calculating unit is used for calculating to obtain target data according to the Young modulus calculation formula by utilizing the shear wave speed.
Optionally, the displacement estimation information obtaining unit includes:
the autocorrelation subunit is configured to perform autocorrelation processing on the shear wave motion information to obtain the displacement estimation information;
accordingly, a shear wave velocity acquisition unit comprises:
and the cross correlation subunit is used for performing cross correlation processing on the target displacement estimation information to obtain the shear wave velocity.
Optionally, the obtaining module 510 includes:
an image acquisition unit for acquiring an ultrasonic image;
the segmentation unit is used for segmenting the ultrasonic image according to the pixel value of each pixel point on the ultrasonic image to obtain a vascular wall image and a cavity image;
and the filtering unit is used for filtering the cavity image and determining the blood vessel wall image as a target image.
Optionally, the obtaining module 510 includes:
a first transmitting unit for transmitting a long ultrasonic pulse to a target point so as to generate a shear wave;
the second transmitting unit is used for transmitting a plurality of short pulses to an interested area close to the target point and receiving ultrasonic echo data;
and the processing unit is used for performing beam synthesis processing and demodulation processing on the ultrasonic echo data to obtain shear wave motion information.
Optionally, the marking module 530 comprises:
the comparison unit is used for performing comparison operation by using the target data to obtain a comparison result;
and the marking unit is used for marking the target image according to the comparison result to obtain a marked image.
Optionally, the alignment unit comprises:
the judging subunit is used for judging whether the target data is in a corresponding preset range;
the first determining subunit is used for determining that the comparison result is abnormal if the target data is not in the preset range;
and the second determining subunit is used for determining that the comparison result is normal if the target data is within the preset range.
Optionally, a marking unit comprising:
the first marking subunit is used for determining a pixel point corresponding to the target data when the comparison result is abnormal, and marking the pixel point with an abnormal mark;
the second marking subunit is used for determining pixel points corresponding to the target data when the comparison result is normal, and marking the pixel points normally;
and the marked image determining unit is used for determining to obtain a marked image when all the pixel points in the target image are marked.
Optionally, the method further comprises:
and the output module is used for outputting the marked image through a preset port.
In the following, the image marking apparatus provided by the embodiment of the present invention is introduced, and the image marking apparatus described below and the image marking method described above may be referred to correspondingly.
Referring to fig. 6, fig. 6 is a schematic structural diagram of an image marking apparatus according to an embodiment of the present invention. Wherein the image marking device 600 may include a processor 601 and a memory 602, and may further include one or more of a multimedia component 603, an information input/information output (I/O) interface 604, and a communication component 605.
Wherein, the processor 601 is used to control the overall operation of the image marking apparatus 600 to complete all or part of the steps in the image marking method; the memory 602 is used to store various types of data to support operation at the image marking device 600, which may include, for example, instructions for any application or method operating on the image marking device 600, as well as application-related data. The Memory 602 may be implemented by any type or combination of volatile and non-volatile Memory devices, such as one or more of Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic or optical disk.
The multimedia components 603 may include a screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 602 or transmitted through the communication component 605. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 604 provides an interface between the processor 601 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. Communication component 605 is used for wired or wireless communication between image marking device 600 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding Communication component 706 may include: Wi-Fi part, Bluetooth part, NFC part.
The image marking Device 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, for performing the image marking method according to the above embodiments.
In the following, the computer-readable storage medium provided by the embodiment of the present invention is introduced, and the computer-readable storage medium described below and the image marking method described above may be referred to correspondingly.
The present invention also provides a computer readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the image marking method described above.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it should also be noted that, herein, relationships such as first and second, etc., are intended only to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms include, or any other variation is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The image marking method, the image marking device, the image marking apparatus and the computer readable storage medium provided by the present invention are described in detail above, and the principle and the implementation of the present invention are explained herein by applying specific examples, and the description of the above embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (12)
1. An image marking method, comprising:
acquiring a target image and shear wave motion information corresponding to the target image;
filtering the shear wave motion information by using a directional filter in a preset direction, and calculating target data corresponding to the shear wave motion information;
and marking the target image by using the target data to obtain a marked image.
2. The image labeling method according to claim 1, wherein the filtering the shear wave motion information by using a directional filter in a preset direction and calculating target data corresponding to the shear wave motion information comprises:
obtaining displacement estimation information according to the shear wave motion information;
filtering the displacement estimation information by using the directional filter to obtain target displacement estimation information;
obtaining the shear wave velocity according to the target displacement estimation information;
and calculating according to the Young modulus calculation formula by using the shear wave speed to obtain the target data.
3. The image labeling method of claim 2, wherein said deriving displacement estimation information from said shear wave motion information comprises:
performing autocorrelation processing on the shear wave motion information to obtain displacement estimation information;
correspondingly, the obtaining the shear wave velocity according to the target displacement estimation information includes:
and performing cross-correlation processing on the target displacement estimation information to obtain the shear wave velocity.
4. The image tagging method of claim 1, wherein said acquiring a target image comprises:
acquiring an ultrasonic image;
according to the pixel value of each pixel point on the ultrasonic image, carrying out segmentation processing on the ultrasonic image to obtain a vascular wall image and a cavity image;
and filtering the cavity image, and determining the blood vessel wall image as the target image.
5. The image tagging method of claim 1, wherein acquiring shear wave motion information corresponding to the target image comprises:
transmitting a long ultrasonic pulse to a target point to generate a shear wave;
transmitting multiple short pulses to an interested area close to a target point and receiving ultrasonic echo data;
and carrying out beam synthesis processing and demodulation processing on the ultrasonic echo data to obtain the shear wave motion information.
6. The image labeling method according to any one of claims 1 to 5, wherein labeling the target image with the target data to obtain a labeled image comprises:
performing comparison operation by using the target data to obtain a comparison result;
and marking the target image according to the comparison result to obtain the marked image.
7. The image labeling method of claim 6, wherein the performing the comparison operation by using the target data to obtain the comparison result comprises:
judging whether the target data is in a corresponding preset range or not;
if the target data is not in the preset range, determining that the comparison result is abnormal;
and if the target data is within the preset range, determining that the comparison result is normal.
8. The image labeling method according to claim 6, wherein the labeling the target image according to the comparison result to obtain the labeled image comprises:
when the comparison result is abnormal, determining a pixel point corresponding to the target data, and performing abnormal marking on the pixel point;
when the comparison result is normal, determining the pixel points corresponding to the target data, and normally marking the pixel points;
and when all the pixel points in the target image are marked, determining to obtain the marked image.
9. The image labeling method of claim 1, further comprising, after said obtaining the labeled image:
and outputting the marked image through a preset port.
10. An image marking device, comprising:
the acquisition module is used for acquiring a target image and shear wave motion information corresponding to the target image;
the filtering module is used for filtering the shear wave motion information by using a directional filter in a preset direction and calculating target data corresponding to the shear wave motion information;
and the marking module is used for marking the target image by using the target data to obtain a marked image.
11. An image marking device comprising a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor for executing the computer program to implement the image tagging method of any one of claims 1 to 9.
12. A computer-readable storage medium for storing a computer program, wherein the computer program, when executed by a processor, implements the image tagging method according to any one of claims 1 to 9.
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