WO2018058632A1

WO2018058632A1 - Imaging method and system

Info

Publication number: WO2018058632A1
Application number: PCT/CN2016/101313
Authority: WO
Inventors: 魏芅; 梁天柱; 林穆清; 邹耀贤; 王凯; 占美飞; 侯杰贤
Original assignee: 深圳迈瑞生物医疗电子股份有限公司
Priority date: 2016-09-30
Filing date: 2016-09-30
Publication date: 2018-04-05
Also published as: CN109310388A; CN114224386A; CN109310388B

Abstract

An imaging method, apparatus and device. The method comprises: respectively using a first imaging parameter to scan and image an interested region of an object to be imaged and a second imaging parameter to scan and image the whole region of the object to be imaged, so as to obtain a first imaged image of the interested region and a second imaged image of the whole region. In this way, in the process of fusing a first imaged image and a second imaged image, more pieces of image information about the second imaged image may be fused at the edge position of the first imaged image, so that the transition between the inside of an interested region and the outside of the interested region is smooth, the transition effect is improved, and then the overall effect of a fused imaged image maintains a visual consistence.

Description

Imaging method and system

Technical field

The present invention relates to the field of medical imaging technology, and more particularly to an imaging method and system.

Background technique

Medical ultrasound images have been widely used in clinical practice because of their non-invasive, low-cost, real-time image display. The specific medical ultrasound imaging uses ultrasonic echo signals to detect tissue structural information and pass two-dimensional images. The structural information of the organization is displayed in real time, so that the doctor can identify the structural information in the two-dimensional image to provide a basis for clinical diagnosis.

At present, the mainstream medical ultrasound imaging technology is a full-area image imaging technology, which uses the same imaging parameters for imaging the entire region within the current imaging range, and trades off the imaging parameters to make the image of the whole region uniform. And make the display of the whole area image the best, but this kind of technology may not be optimal for the images in the area of interest, and the features in the area of interest cannot be highlighted.

To this end, a partial image imaging technique is formed on the full-area image imaging technique, which can obtain an image of the region of interest to highlight the region of interest through the image of the region of interest.

One approach is to use different imaging parameters within and outside of the region of interest. However, the imaging parameters outside the region of interest are not imaged in the region of interest of the method, so the images in the region of interest cannot be synthesized using images outside the region of interest during image synthesis, so that the region of interest and interest are The transition between the regions is poor. Another approach is to optimize the image within the region of interest by delineating the region of interest. But in this method, outside the region of interest The image is in a frozen state, which is inconsistent with the image in the real-time region of interest, and also makes the transition between the image in the region of interest and the image outside the region of interest inferior.

Summary of the invention

In view of this, the present invention provides an imaging method and system that can improve the transition effect between the region of interest and the outside of the region of interest.

In some embodiments of the invention, an imaging method is provided. The method may include: acquiring an initial image of the object to be imaged; acquiring a region of interest of the object to be imaged based on the initial image; scanning imaging the region of interest based on the first imaging parameter to obtain a first image of the image; treating the image based on the second imaging parameter The entire imaging region is scanned and imaged to obtain a second imaging image, wherein the first imaging parameter and the second imaging parameter are at least partially different; and the first imaging image and the second imaging image are fused to obtain an imaging image of the object to be imaged.

In some embodiments of the present invention, acquiring the region of interest of the current object to be imaged based on the initial image may include: acquiring an area of interest designated by the operator to use the human-computer interaction interface through the initial image; or acquiring an initial image specified by the operator The image type, and matching the image to be initialized with the corresponding first sample image based on the image type to obtain the region of interest; or acquiring the region of interest based on the initial image by the image recognition method.

In some embodiments of the present invention, acquiring the region of interest based on the initial image by the image recognition method may include: acquiring an image type of the initial image, and matching the initial image with the corresponding first sample image based on the image type to obtain an interest. Or; acquiring a motion feature in the initial image, segmenting the initial image based on the motion feature, obtaining a motion region of the initial image, and determining the region of interest based on the motion region.

In some embodiments of the present invention, acquiring an image type of the initial image may include: acquiring an operator The image type of the specified initial image; or, the feature extraction of the initial image is performed to obtain the feature of the initial image, and the feature of the initial image is matched with the feature of the second sample image to obtain an image type of the initial image.

In some embodiments of the invention, the first imaging parameter and the second imaging parameter may be at least one of a transmission frequency, an emission voltage, a line density, a number of focus, a focus position, a speckle noise suppression parameter, and an image enhancement parameter.

In some embodiments of the present invention, the merging the first imaging image and the second imaging image to obtain the imaging image of the object to be imaged may include: acquiring a first fusion parameter of the first imaging image and a second fusion of the second imaging image And merging the first imaging image and the second imaging image based on the first fusion parameter and the second fusion parameter to obtain an imaging image of the object to be imaged.

An imaging system is also provided in some embodiments of the invention. The imaging system may include: a scanning device that scans an object to be imaged to acquire image data of an object to be imaged; a processor that: acquires an initial image of the object to be imaged; and acquires a feeling of the object to be imaged based on the initial image a region of interest; controlling the scanning device to scan the region of interest based on the first imaging parameter to obtain a first imaging image; and controlling the scanning device to perform scanning imaging on all regions of the object to be imaged based on the second imaging parameter to obtain a second imaging image, Wherein the first imaging parameter and the second imaging parameter are different; and the first imaging image and the second imaging image are fused to obtain an imaging image of the object to be imaged.

In some embodiments of the present invention, the acquiring, by the processor, the region of interest of the current object to be imaged based on the initial image may include: acquiring, by the processor, the region of interest specified by the operator with the human-computer interaction interface through the initial image; or acquiring the operator by the processor Specifying an image type of the initial image, and matching the initial image with the corresponding first sample image based on the image type to obtain the region of interest; or the processor acquires the region of interest based on the initial image by the image recognition method.

In some embodiments of the present invention, the processor acquiring the region of interest based on the initial image by the image recognition method may include: the processor acquiring an image type of the initial image, and matching the initial image with the corresponding first sample image based on the image type Or obtaining a region of interest; or, the processor acquires a motion feature in the image to be initially, and segments the initial image based on the motion feature to obtain an initial motion region, and determines the region of interest based on the motion region.

In some embodiments of the present invention, the processor acquiring the image type of the initial image may include: the processor acquiring an image type of the initial image specified by the operator; or the processor performing feature extraction on the initial image to obtain a feature of the initial image, The features of the initial image are matched to the features of the second sample image to obtain the image type of the initial image.

In some embodiments of the present invention, the processor fuses the first imaging image and the second imaging image, and obtaining the imaged image of the object to be imaged may include: the processor acquiring the first fusion parameter of the first imaging image and the second imaging image And a second fusion parameter, and merging the first imaging image and the second imaging image based on the first fusion parameter and the second fusion parameter to obtain an imaging image of the object to be imaged.

It can be seen from the above technical solution that the first imaging parameter and the second imaging parameter of the object to be imaged can be scanned and imaged respectively to obtain the first imaging image and the entire region of the region of interest. a second image of the image, such that during the fusion of the first imaged image and the second imaged image, more image information of the second imaged image may be fused at the edge of the first imaged image, such that the region of interest A smooth transition between the areas of interest increases the transition effect, thereby maintaining a visual consistency of the overall effect of the imaged image after fusion.

And the first imaging parameter and the second imaging parameter are different, such that in the fusion process, the first imaging image may use image information of the region corresponding to the region of interest in the second imaging image to enhance the image quality of the region of interest. And the second imaging image is an image corresponding to all areas of the object to be imaged, and the image shape is a regular shape, and the parameter control of the second imaging parameter is relatively simple with respect to the unconventional shape, further because the second imaging image It is an image corresponding to all areas, so that images outside the area of interest are displayed in real time except for the area of interest, real-time display of all areas.

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 embodiments or the description of the prior art will be briefly described below. Obviously, the drawings in the following description are only It is a certain embodiment of the present invention, and other drawings can be obtained from those skilled in the art without any creative work.

FIG. 1 is a flowchart of an imaging method according to an embodiment of the present invention;

2 is a schematic diagram of optimization of a first imaging parameter according to an embodiment of the present invention;

FIG. 3 is another schematic diagram of optimization of a first imaging parameter according to an embodiment of the present invention; FIG.

FIG. 4 is still another schematic diagram of optimization of a first imaging parameter according to an embodiment of the present invention; FIG.

FIG. 5 is a schematic structural diagram of an ultrasound imaging system according to an embodiment of the present invention.

detailed description

The imaging method, device and device provided by the embodiments of the present invention are: acquiring a first imaging image corresponding to a region of interest of an object to be imaged and a second imaging image corresponding to all regions, and then, for the first imaging image and The two imaged images are fused to enhance the transition effect between the portion of the region of interest and the portion outside the region of interest in the resulting image.

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is a partial embodiment of the invention, and not all of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Hereinafter, embodiments of the present invention will be described with an ultrasound imaging system as a specific example. However, the invention is not limited to ultrasound imaging systems, but can be used in other medical imaging systems, such as X-ray imaging systems, magnetic resonance imaging (MRI) systems, positron emission computed tomography (PET) systems, or singles. Photon emission computed tomography (SPECT) systems, and so on.

In general, embodiments of the present invention provide an imaging system and corresponding imaging method. The imaging system can include a scan transpose and a processor. The scanning device can scan the object to be imaged to obtain image data of the object to be imaged. For example, for an ultrasound imaging system, the scanning device is a probe. For other imaging systems, the scanning device is a device for its corresponding image to be imaged. The processor can control the scanning device or imaging system to implement the imaging method of the embodiments of the invention described in detail below. Here, although the term "image data" is used to describe the data obtained by the scanning device, herein, the "image data" may also include unprocessed or processed or received after scanning by the scanning device, but still There is no data when the image is formed. For example, for an ultrasound imaging system, the image data herein also includes ultrasound echo data obtained after the ultrasound echo received by the probe, radio frequency data after certain processing, or image data after the ultrasound image is formed.

For example, referring to FIG. 5, taking an ultrasound imaging system as an example, in some embodiments of the present invention, an ultrasound imaging system may include: a probe 1, a transmitting circuit 2, a transmit/receive selection switch 3, a receiving circuit 4, and beamforming. Module 5, processor 6 and display 7.

The transmitting circuit 2 transmits the delayed-focused ultrasonic pulse having a certain amplitude and polarity to the probe 1 through the transmitting/receiving selection switch 3. The probe 1 is excited by the ultrasonic pulse to emit ultrasonic waves to a target area (not shown) of the body to be tested, and receives an ultrasonic echo with tissue information reflected from the target area after a certain delay. The ultrasonic echo is reconverted into an electrical signal. The receiving circuit receives the electrical signals generated by the conversion of the probe 1 to obtain ultrasonic echo signals, and sends the ultrasonic echo signals to the beam combining module 5. The beam synthesizing module 5 performs processing such as focus delay, weighting, and channel summation on the ultrasonic echo signals to obtain radio frequency signals, which can be sent to the processor 6 for related processing. The ultrasonic image obtained by the processing of the processor 6 is sent to the display 7 for display.

In the embodiment of the present invention, the processor 6 can also implement the imaging method provided by the embodiment of the present invention. The ultrasound imaging system will be described in detail below with reference to the accompanying drawings.

Please refer to FIG. 1 , which is a flowchart of an imaging method provided by an embodiment of the present invention, which may include the following steps:

101: The processor acquires a region of interest of an object to be imaged currently. Wherein the region of interest may be any region of the object to be imaged (eg, an operator of a doctor or other ultrasound imaging device, etc.) that is of interest to it, such as an area suspected of having a microstructural lesion, etc., in this region Structural information can be used as a basis for clinical diagnosis.

In an embodiment of the present invention, an image of a current object to be imaged (herein referred to as an "initial image") may be obtained. However, it should be understood that "initial" herein is merely an action for acquiring a region of interest at present. Or, in terms of steps, but not the initial or other specific meaning of the overall imaging process, to obtain the region of interest of the object to be imaged. For example, an imaging system (eg, an ultrasound imaging system) can be used to image an imaged subject (eg, using a full-area image imaging method as described above) to obtain a full-area ultrasound image of the object to be imaged (ie, the initial image) ), then, based on The full initial image obtains a region of interest of the object to be imaged. As used hereinafter, "a full-area ultrasound image" may mean that the ultrasound image contains all of the area of the object to be imaged. The "object to be imaged" as used herein may be one or more organs or regions of a human or animal that are currently or will be ultrasound scanned.

In the embodiment of the present invention, the manner of obtaining the region of interest includes, but is not limited to, three modes: an operator manual designation mode, a semi-automatic mode, and an automatic mode. The following three modes are introduced one by one.

The operator manually specifies the mode: In this manner, the processor can acquire the region of interest specified by the operator in the human-computer interaction interface, that is, the operator manually specifies the region of interest of the object to be imaged. For example, an initial image of an object to be imaged as described above is displayed in a human-computer interaction interface of the ultrasound imaging apparatus, and an input device, such as a trackball, is mounted on the ultrasound imaging device, and is displayed on the initial image of the object to be imaged by operating the trackball. The sampling frame operates to change the position of the center point of the sampling frame and/or the size of the sampling frame. For example, when the operation track ball is horizontally scrolled, the size of the sampling frame is horizontal, and the size of the sampling frame changes longitudinally when the operation track ball is vertically scrolled, etc. . When the size of the sampling frame changes, the position of the center point can be changed, and the position and size adjustment of the center point can be switched by operating the buttons on the trackball. The area within the sampling frame is the area of interest.

Semi-automatic mode: This mode is a combination of operator manual operation and image recognition technology. The process may be: the processor acquires an image type of an initial image of an object to be imaged designated by an operator, and selects an object to be imaged based on the image type. The initial image is matched with the corresponding first sample image to obtain a region of interest.

The image type indicates which type of image the initial image of the current object to be imaged belongs to, such as a liver image, a kidney image, a heart image, an obstetric cerebellum image, etc., after the image type is acquired, an initial image of the operator to be imaged may be determined according to the image type. What is the target of interest in the image, the The target of interest is the above-mentioned region of interest.

During scanning imaging of the object to be imaged, the operator selects an examination mode, ie which organ is scanned, and if the object to be imaged is the liver, the examination mode is selected as the liver mode, so in some embodiments The check mode can be used to indicate the image type of the initial image of the object to be imaged.

After acquiring the image type, the initial image of the object to be imaged may be matched with the corresponding first sample image based on the image type to obtain a region of interest. The corresponding first sample image may be a sample image having the same image type as the initial image of the object to be imaged, and the sample image may be obtained offline or scanned by the imaging system to acquire multiple samples of the same image type. A template image of the sample is matched as an initial reference to the initial image of the object to be imaged to obtain a region of interest.

In some embodiments of the present invention, the initial image of the object to be imaged is matched with the corresponding first sample image, and the process of obtaining the region of interest may be: traversing the initial image of the object to be imaged, and selecting in the traversal process The current traversed position is the center block, the same size block as the sample image, and the selected region block is similarly calculated with the first sample image. After the traversal is finished, the center point of the region block with the best similarity is selected as The best matching position is then delineated by the best matching position, wherein the similarity calculation method may adopt the SAD method (Sum of Absolute Differences) or the correlation coefficient method or other suitable methods.

Automatic mode: This method can acquire the region of interest through image recognition technology. In some embodiments of the present invention, the manner of acquiring the region of interest by the image recognition method may include, but is not limited to, the following two modes:

One way is to perform feature extraction on the initial image of the imaged object to obtain the object to be imaged. a feature of the initial image, matching a feature of the initial image of the object to be imaged with a feature of the second sample image, obtaining an image type of the initial image of the object to be imaged, and correspondingly matching the initial image of the object to be imaged based on the obtained image type The first sample image is matched to obtain the region of interest. In this manner, the initial image of the object to be imaged is matched with the corresponding first sample image based on the image type, and the process of obtaining the region of interest can be referred to the specific implementation in the semi-automatic manner described above, for which the embodiment of the present invention is no longer set forth.

The above process of obtaining the image type based on the feature matching can be regarded as a process of automatically acquiring the image type, and the process of automatically acquiring the image type can further refine the image type of the initial image of the imaged object according to the operator specified manner. It is determined which type of image of which subject the initial image of the object to be imaged belongs to, such as which type of image belongs to the obstetrics or the heart. To refine the image type to which the initial image of the imaged object belongs, it may be obtained offline for each refined image type or at least one second sample image may be acquired by the imaging system scan, and the image type of each second sample image It is known that the refined image type of the initial image of the object to be imaged can be determined by matching the features of the second sample image, and the matching process can be as follows:

Step 11: Feature extraction; wherein the above feature may refer to a general term of various attributes capable of characterizing an initial image of an object to be imaged from other images. In some embodiments of the present invention, acquiring any one of the second sample images performs feature extraction on the second sample image to use the feature of the second sample image as a reference feature to facilitate matching of the initial image of the object to be imaged. . Similarly, after the initial image of the object to be imaged is acquired, feature extraction of the initial image of the object to be imaged may be performed by using the same feature extraction method as the second sample image, and the feature of the initial image of the object to be imaged is obtained.

The feature extraction method may adopt image processing to extract features, such as Sobel operator, Canny operator, Roberts operator and SIFT operator, etc., or may be automatically extracted by machine learning method. The characteristics of the image, such as PCA (Principal Component Analysis), LDA (Linear Discriminant Analysis) and deep learning, automatically extract the features of the image.

Step 12: Feature matching; after obtaining the features of the initial image of the object to be imaged, the similarity calculation may be performed one by one with the features of the second sample image in the training sample library, and the image type of the second sample image with the most similar feature is selected as The image type of the initial image of the object to be imaged, wherein the method for measuring the feature similarity may be the SAD algorithm, the smaller the SAD value is, the more similar; or the correlation coefficient of the two groups of features may be calculated to measure the similarity between the two groups of features, The larger the coefficient, the more similar it is; or other suitable methods can be used.

The method of acquiring the region of interest by the image recognition technology described above is applicable to various image types.

Furthermore, for some types of images that exhibit periodic motion in the time dimension, such as fetal heart, adult heart, carotid artery, etc., the motion region in the initial image of this type of object to be imaged may be the region of interest. Therefore, in the case where the image type of the initial image of the object to be imaged indicates that the object to be imaged is an object that periodically moves in the time dimension, the process of acquiring the region of interest by the image recognition technique may be as follows:

Step 21: Acquire the motion feature of the initial image of the object to be imaged; the method for acquiring the motion feature may be performed by using a frame difference method, for example, the image information of the current frame may be directly subtracted from the previous frame or the former. The image information of several frames is used to extract the motion characteristics of the current frame. Of course, other methods such as OF (Optical Flow) and GMM (Gaussian Mixture Model) may be used to extract motion features.

Step 22: segment the initial image of the image to be imaged based on the motion feature, and obtain a motion region in the initial image of the object to be imaged; after obtaining the motion feature, threshold segmentation may be used Morphological processing, segmentation of the motion area.

Step 23: Determine a region of interest based on the motion region; after segmenting the motion region, the motion region can be utilized to locate the region of interest. In general, the region of interest in embodiments of the present invention may be rectangular (eg, where the imaging coefficients are ultrasound imaging systems using linear array probes) or sectoral (eg, in imaging coefficients using convex or phased array probes) In the case of an ultrasound imaging system, thus a region of interest localization method may be to fit a regular region of interest to include the entire motion region, and the fitting method may be to calculate a circumscribed rectangle or sector of the motion region. You can also use the least squares to estimate the rectangular fit, or use other suitable fitting methods to fit.

The above-mentioned region of interest localization method is also suitable for the semi-automatic mode. For example, a semi-automatic method is: narrowing the positioning range based on the operator's input, and then using the automatic positioning method to locate the final region of interest within the reduced range. The purpose of narrowing the positioning range is to improve the positioning efficiency and accuracy, and the narrowing of the positioning range may be: the operator draws at least one point on the motion area to prompt the range of the region of interest, or automatically reduces according to the operator's input information. Positioning range. Another semi-automatic mode is that the operator draws at least one point on the motion area to locate an initial region of interest. In the real-time scanning process, the above-mentioned automatic positioning or semi-automatic positioning method is used to change the region of interest frame according to the image content. The location and size.

It should be noted that the positioning method of the above-mentioned region of interest can perform real-time positioning on the initial image of each object to be imaged, to change the region of interest in real time, or to perform positioning at intervals, or even to press the button by the operator. After the mode is triggered, the positioning is performed. And even for a system that needs to monitor the region of interest in real time, the location of the region of interest may be real-time, and the manner of acquiring the image type may be judged at intervals or after the triggering of the image type, and the image type is The acquisition process can be specified by the operator or based on the feature matching method. To.

102: The processor controls the scanning device to perform scanning imaging on the region of interest based on the first imaging parameter to obtain a first imaging image.

103: The processor controls the scanning device to perform scanning imaging on the entire area of the imaged object based on the second imaging parameter to obtain a second imaged image. Here, the "all area" as the scanning target for performing scanning imaging using the second imaging parameter is the entire area of the current object to be imaged including the aforementioned region of interest, that is, scanned when scanning imaging is performed using the second imaging parameter The region (or the imaging region at this time) also includes the region of interest itself in addition to the region other than the aforementioned region of interest. Accordingly, accordingly, the obtained second imaging image is an image of the entire region of the object to be imaged that includes the region of interest, not an image of the region other than the region of interest.

Moreover, in

steps

102 and 103, the first imaging parameter and the second imaging parameter are different, and the difference may be that the first imaging parameter and the second imaging parameter are the same type of parameter, and the first imaging parameter and the second imaging parameter are The values are different; or the first imaging parameter and the second imaging parameter are different types of parameters, such as the first imaging parameter including parameter A and parameter B, and the second imaging parameter may include parameter C and parameter D; or the first imaging The parameter includes a second imaging parameter, such as the first imaging parameter including parameter A and parameter B, and the second imaging parameter includes parameter A, then determining that the first imaging parameter includes the second imaging parameter;

In an embodiment in which the imaging coefficient is an ultrasound imaging system, the first imaging parameter and the second imaging parameter may be at least: a transmission frequency, an emission voltage, a line density, a number of focus, a focus position, a speckle noise suppression parameter, and an image enhancement parameter. One kind. In the embodiment of the present invention, the secondary imaging mode of the entire region and the region of interest is adopted, so in the scanning imaging process of the region of interest, the first imaging parameter can be optimized according to the size and position of the region of interest to optimize the sense. Area of interest.

For example, optimizing the transmission frequency in the region of interest can make the region of interest not limited by the transmission frequency in the imaging process of the entire region. When the region of interest is located in the near field of the source, the region of interest can be scanned. The transmission frequency during imaging, thereby increasing the resolution of the first imaged image. When the region of interest is located in the far field of the source, the emission frequency of the region of interest during the scanning imaging process can be reduced, thereby improving the first imaged image. Penetration.

Or when the other parameters of the ultrasound system are fixed, the higher the emission voltage, the larger the transmission power of the ultrasound system, and the better the quality of the imaged image. Therefore, in the embodiment of the present invention, the emission voltage can be optimized, such as full area scanning imaging. A lower emission voltage is used, and a higher emission voltage is used in the scanning imaging of the region of interest, as shown in FIG. 2, thereby improving the image quality in the region of interest when the transmission power satisfies the sound field limitation of the ultrasound system. For example, the limit index Ispta (spatial peak time average sound intensity) of one of the ultrasonic system sound fields is 480 mW/cm ^{2 or} less.

The linear density, the number of focal points and the scanning frame rate of the ultrasound system are mutually constrained. The higher the linear density or the larger the number of focal points, the lower the scanning frame rate, so the linear density or the number of focal points can be optimized for scanning in all areas. Use lower linear density or a smaller number of focus when imaging, and use higher linear density or a larger number of focus when scanning the region of interest, so as to improve the first when the scanning frame rate meets the requirements. The image quality is imaged as shown in Fig. 3 or Fig. 4, wherein the horizontal axis in Figs. 2 to 4 is the probe position in the ultrasound system.

For the optimization process of the focus position, the speckle noise suppression parameter and the image enhancement parameter, the embodiments of the present invention are not described one by one, and in addition to the above parameters, the first imaging parameter and the second imaging parameter may also adopt the emission aperture and the emission. Waveform, spatial recombination, frequency recombination, line recombination, and frame correlation, etc., by optimizing the first imaging parameter corresponding to the region of interest, thereby obtaining a first image with better quality.

In embodiments where the imaging system is another type of imaging system, the aforementioned first parameter and second parameter may be set accordingly.

104: The processor fuses the first imaging image and the second imaging image to obtain an imaging image of the object to be imaged. In the embodiment of the present invention, the fusion process may be: acquiring a first fusion parameter of the first imaging image and a second fusion parameter of the second imaging image, and then, based on the first fusion parameter and the second fusion parameter, the first imaging image and the first The two imaged images are fused to obtain an imaged image of the object to be imaged.

For example, the fusion can be performed according to the following formula: I _o =α*I _local +β*I _global , where I _local is the first image, I _global is the second image, α is the first fusion parameter, and β is the second fusion parameter, I _o is an image forming object to be imaged, i.e. the integration result value of the first parameter and the second fusion fusion parameters embodiment fusion result image corresponding to the present invention may be, depending on the implementation.

The first fusion parameter and the second fusion parameter may be set according to actual conditions. In some embodiments, α + β = 1 can be taken. In other embodiments, α+β>1 may also be taken, and the overall brightness level of the image outputted after the fusion may be increased. In other embodiments, it may be set in other ways.

It should be noted here that the values of the first fusion parameter α and the second fusion parameter β are not fixed, and may be different according to each pixel in the image, each position in the image, and the generation time of the image.

For example, in the fusion process, when the gray value of each pixel in the first imaging image and the second imaging image is between [0, 255], the values of the first fusion parameter and the second fusion parameter may be not less than 0; If the gray value of each pixel in the first image or the second image is less than 0, the value of the corresponding fusion parameter may be less than 0, and the values of the first fusion parameter and the second fusion parameter are different. 0; or in the fusion process, the first fusion parameter α corresponding to each position in the first imaging image is different, and the second fusion parameter β corresponding to each position in the second imaging image may also be different, such as The edge position of the region needs to be merged with more image information of the second imaged image, and the value of the second fusion parameter β at the edge position of the region of interest may be greater than the value of the second fusion parameter β at other locations. If more image information of the first imaging image is fused at other positions except the edge position, the value of the first fusion parameter α at the other position is greater than the value of the first fusion parameter α at the edge position; An imaged image and a second imaged image are real-time images, which may change over time, and the values of the first blending parameter α and the second blending parameter β may also differ with time;

It can be seen from the above technical solution that the imaging method provided by the embodiment of the present invention can scan and image the region of interest of the object to be imaged and the second region of the image to be imaged by using the first imaging parameter to obtain the region of interest. The first imaging image and the second imaging image of the entire region, such that the imaging parameters can be set in a targeted manner for the region of interest to specifically enhance and optimize the desired aspect of the image of the region of interest; During the fusion of the first imaging image and the second imaging image, more image information of the second imaging image may be fused at the edge position of the first imaging image, so that a smooth transition between the region of interest and the outside of the region of interest, Improve the transition effect, so that the overall effect of the imaged image after fusion is visually consistent.

Through the description of the above embodiments, those skilled in the art can clearly understand that the processor in the above embodiment can add necessary hardware platforms through software (for example, microprocessor, microcontroller, programmable logic device, dedicated The integrated circuit or the like is implemented, or it can be implemented by hardware or firmware alone. Based on this understanding, the technical solution of the present invention, which is essential or contributes to the prior art, can also be embodied in the form of a software product carried on a non-transitory computer readable storage carrier ( In the ROM, disk, CD, server cloud space, a number of instructions are included to enable a terminal device (which may be a cell phone, a computer, a server, or a network device, etc.) to perform the methods described in various embodiments of the present invention.

In this document, relational terms such as first and second are used merely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such. The actual relationship or order. Furthermore, the term "comprises" or "comprises" or "comprises" or any other variations thereof is intended to encompass a non-exclusive inclusion, such that a process, method, article, or device that comprises a plurality of elements includes not only those elements but also Other elements, or elements that are inherent to such a process, method, item, or device. An element that is defined by the phrase "comprising a ..." does not exclude the presence of additional equivalent elements in the process, method, item, or device that comprises the element.

The above description of the embodiments provided is to enable those skilled in the art to make or use the invention. Various modifications to these embodiments are obvious to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not intended to be limited to the embodiments shown herein, but the scope of the invention is to be accorded

Claims

An imaging method, characterized in that the method comprises:

Obtaining an initial image of the object to be imaged;

Acquiring a region of interest of the object to be imaged based on the initial image;

Scanning and imaging the region of interest based on the first imaging parameter to obtain a first image of the image;

Scanning imaging the entire area of the object to be imaged based on the second imaging parameter to obtain a second image, wherein the first imaging parameter and the second imaging parameter are at least partially different;

The first imaging image and the second imaging image are fused to obtain an image of the object to be imaged.
The method according to claim 1, wherein the acquiring the region of interest of the current object to be imaged based on the initial image comprises:

Obtaining, by the operator, the human-computer interaction interface, the region of interest specified by the initial image;

or,

Obtaining an image type of the initial image specified by the operator, and matching the image to be initialized with a corresponding first sample image based on the image type to obtain the region of interest;

or,

The region of interest is acquired based on the initial image by an image recognition method.
The method according to claim 2, wherein the acquiring the region of interest based on the initial image by an image recognition method comprises:

Obtaining an image type of the initial image, and matching the initial image with a corresponding first sample image based on the image type to obtain the region of interest;

Or,

Acquiring a motion feature in the initial image, segmenting the initial image based on the motion feature, obtaining a motion region of the initial image, and determining the region of interest based on the motion region.
The method according to claim 3, wherein the acquiring the image type of the initial image comprises:

Obtaining an image type of the initial image specified by the operator;

or,

Feature extraction is performed on the initial image to obtain features of the initial image, and features of the initial image are matched with features of the second sample image to obtain an image type of the initial image.
The method according to claim 1, wherein the first imaging parameter and the second imaging parameter are at least: a transmission frequency, an emission voltage, a line density, a number of focus, a focus position, a speckle noise suppression parameter, and an image enhancement parameter. One of them.
The method according to claim 1, wherein the merging the first imaging image and the second imaging image to obtain an image of the object to be imaged comprises:

Obtaining a first fusion parameter of the first imaged image and a second fusion parameter of the second imaged image;

And integrating the first imaging image and the second imaging image based on the first fusion parameter and the second fusion parameter to obtain an imaging image of the object to be imaged.
An imaging system, characterized in that the system comprises:

a scanning device that scans an object to be imaged to acquire image data of an object to be imaged;

a processor for:

Obtaining an initial image of the object to be imaged;

Acquiring a region of interest of the object to be imaged based on the initial image;

Controlling, by the scanning device, scanning and imaging the region of interest based on the first imaging parameter to obtain a first imaging image;

Controlling, by the scanning device, performing scanning imaging on all areas of the object to be imaged based on the second imaging parameter to obtain a second imaging image, wherein the first imaging parameter and the second imaging parameter are different;

The first imaging image and the second imaging image are fused to obtain an image of the object to be imaged.
The system according to claim 7, wherein the processor acquiring the region of interest of the current object to be imaged based on the initial image comprises:

Obtaining, by the processor, the region of interest specified by the operator through the initial image by using a human-machine interaction interface;

or,

Obtaining, by the processor, an image type of the initial image specified by the operator, and matching the initial image with a corresponding first sample image based on the image type to obtain the region of interest;

or,

The processor acquires the region of interest based on the initial image by an image recognition method.
The system according to claim 8, wherein the processor acquiring the region of interest based on the initial image by an image recognition method comprises:

The processor acquires an image type of the initial image, and matches the initial image with a corresponding first sample image based on the image type to obtain the region of interest;

or,

And acquiring, by the processor, a motion feature in the image to be initialized, segmenting the initial image based on the motion feature, obtaining the initial motion region, and determining the region of interest based on the motion region.
The system according to claim 9, wherein the acquiring the image type of the initial image by the processor comprises:

The processor acquires an image type of the initial image specified by the operator;

or,

The processor performs feature extraction on the initial image to obtain features of the initial image, and matches features of the initial image with features of the second sample image to obtain an image type of the initial image.
The system of claim 7 wherein said first imaging parameter and said second imaging parameter are at least: transmit frequency, transmit voltage, line density, number of focus, focus position, speckle noise suppression parameter, and image enhancement parameter One of them.
The system according to claim 7, wherein the processor fuses the first imaged image and the second imaged image to obtain an imaged image of the object to be imaged, comprising:

Obtaining, by the processor, a first fusion parameter of the first imaging image and a second fusion parameter of the second imaging image, and performing the first imaging based on the first fusion parameter and the second fusion parameter The image and the second imaged image are fused to obtain an imaged image of the object to be imaged.