CN115869012A - Ultrasonic imaging method, system and computer readable storage medium - Google Patents
Ultrasonic imaging method, system and computer readable storage medium Download PDFInfo
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- CN115869012A CN115869012A CN202211427884.XA CN202211427884A CN115869012A CN 115869012 A CN115869012 A CN 115869012A CN 202211427884 A CN202211427884 A CN 202211427884A CN 115869012 A CN115869012 A CN 115869012A
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Abstract
The invention discloses an ultrasonic imaging method, which comprises the following steps: s1, firstly, carrying out ultrasonic imaging on a chest cavity to obtain an ultrasonic image containing a heart; s2, performing independent segmentation on the heart in the ultrasonic image containing the heart to obtain an ultrasonic image of the whole heart; s3, respectively obtaining ultrasonic images of the left atrium, the right atrium, the left ventricle and the right ventricle of the whole heart through a heart region segmentation model; and S4, denoising and clearing the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart. The invention has reasonable design and ingenious conception, can obtain clear ultrasonic images of the regions of the left atrium, the right atrium, the left ventricle, the right ventricle and the like and the whole region of the heart, ensures that a doctor can directly and carefully observe a specific region of the heart, is convenient for the doctor to rapidly analyze and describe the heart and improves the analysis efficiency of the doctor on the ultrasonic image result of the heart.
Description
Technical Field
The present invention relates to the field of ultrasound diagnostic technologies, and in particular, to an ultrasound imaging method, an ultrasound imaging system, and a computer-readable storage medium.
Background
Ultrasonic diagnosis (ultrasound diagnosis) is a diagnostic method in which an ultrasonic detection technique is applied to a human body, and data and forms of physiology or tissue structures are known through measurement, so as to prompt or guide disease discovery. Ultrasonic diagnosis is a non-invasive, painless, convenient and visual effective examination means, especially B-ultrasonic, and has wide application.
In actual diagnosis, the imaging effect (including imaging performance parameters such as image quality and frame rate) of an ultrasound image is very important, especially the image quality, and in many cases, the diagnostic result and diagnostic efficiency of a doctor are directly affected, so that the improvement of the ultrasound imaging quality is an important research direction for a long time. In actual diagnosis, a physician may be more interested in the imaging of a region in the heart that is in one of the left atrium, right atrium, left ventricle, and right ventricle. Therefore, it is necessary to improve the image quality of a certain region by dividing it individually.
Disclosure of Invention
The present invention provides an ultrasound imaging method, system and computer-readable storage medium to solve the problems set forth in the background art.
In order to achieve the purpose, the invention adopts the following technical scheme:
an ultrasound imaging method comprising the steps of:
s1, firstly, carrying out ultrasonic imaging on a chest cavity to obtain an ultrasonic image containing a heart;
s2, independently segmenting the heart in the ultrasonic image containing the heart to obtain an ultrasonic image of the whole heart;
s3, respectively obtaining ultrasonic images of the left atrium, the right atrium, the left ventricle and the right ventricle of the heart from the ultrasonic image of the whole heart through a heart region segmentation model;
and S4, denoising and clearing the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart.
As a further improvement scheme of the technical scheme: in S1, firstly, performing ultrasound imaging on the chest to obtain an ultrasound image including the heart, specifically: the thorax of the patient is detected by an ultrasonic detector and an ultrasonic image containing the heart is obtained.
As a further improvement scheme of the technical scheme: in S2, the heart in the ultrasound image including the heart is separately segmented, specifically: the method comprises the steps of obtaining a first heart ultrasonic image in the outline by segmenting the outline of the heart, obtaining a second heart ultrasonic image by the characteristic ultrasonic color depth of the whole heart, and finally, carrying out mutual coincidence correction on the first heart ultrasonic image and the second heart ultrasonic image to obtain an ultrasonic image of the whole heart.
As a further improvement scheme of the technical scheme: in the step S3, the heart region segmentation model is specifically constructed by:
the first step is as follows: firstly, forming a data set by a plurality of heart ultrasonic images, and extracting diaphragm line characteristics and heart overall contour line characteristics among the left atrium, the right atrium, the left ventricle or the right ventricle of a heart from each heart ultrasonic image sample in the data set;
and secondly, training a machine learning model by using the data set, wherein the machine learning model takes the standardized diaphragm line characteristics and the heart overall contour line characteristics as input, takes the segmented regions of the left atrium, the right atrium, the left ventricle or the right ventricle of the heart as output, and obtains a heart region segmentation model through supervised learning.
As a further improvement scheme of the technical scheme: dividing the data set into a training set and a verification set, simultaneously training various machine learning models by using the training set, evaluating the performance accuracy of different machine learning models by using the verification set, and selecting the machine learning model with the best performance to construct a heart region segmentation model.
As a further improvement scheme of the technical scheme: the selected machine learning model is at least one of logistic regression, linear discriminant analysis, K nearest neighbor, naive Bayes, support vector machine, random forest and neural network.
As a further improvement scheme of the technical scheme: in the step S4, denoising and clarifying the ultrasound images of the left atrium, the right atrium, the left ventricle, the right ventricle, and the heart as a whole are specifically: and carrying out denoising and clearing processing on the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart by a mean filter.
An embodiment of the present application further provides an ultrasound imaging system, including:
the thoracic cavity ultrasonic imaging module is used for carrying out ultrasonic imaging on the thoracic cavity to obtain an ultrasonic image containing the heart;
the heart whole image obtaining module is used for carrying out independent segmentation on the heart in the ultrasonic image containing the heart to obtain an ultrasonic image of the heart whole;
the heart region segmentation module is used for respectively obtaining ultrasonic images of a left atrium, a right atrium, a left ventricle and a right ventricle of the whole heart through a heart region segmentation model;
and the denoising and clarifying module is used for denoising and clarifying the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart.
In yet another aspect, an embodiment of the present application further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method described above when executing the computer program.
In yet another aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method described above.
Compared with the prior art, the invention has the beneficial effects that:
the invention has reasonable design and ingenious conception, can obtain clear ultrasonic images of the regions of the left atrium, the right atrium, the left ventricle, the right ventricle and the like and the whole region of the heart, ensures that a doctor can directly and carefully observe a specific region of the heart, is convenient for the doctor to rapidly analyze and describe the heart and improves the analysis efficiency of the doctor on the ultrasonic image result of the heart.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to make the technical solutions of the present invention practical in accordance with the contents of the specification, the following detailed description is given of preferred embodiments of the present invention with reference to the accompanying drawings. The detailed description of the present invention is given in detail by the following examples and the accompanying drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a schematic flow chart of an ultrasound imaging method according to the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth to illustrate, but are not to be construed to limit the scope of the invention. The invention is described in more detail in the following paragraphs by way of example with reference to the accompanying drawings. Advantages and features of the present invention will become apparent from the following description and from the claims. It is to be noted that the drawings are in a very simplified form and are not to precise scale, which is provided for the purpose of facilitating and clearly illustrating embodiments of the present invention.
It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When a component is referred to as being "connected" to another component, it can be directly connected to the other component or intervening components may also be present. When a component is referred to as being "disposed on" another component, it can be directly on the other component or intervening components may also be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, in an embodiment of the present invention, an ultrasound imaging method includes the following steps:
s1, firstly, carrying out ultrasonic imaging on a chest cavity to obtain an ultrasonic image containing a heart, and specifically: detecting the chest cavity of a patient through an ultrasonic detector and obtaining an ultrasonic image containing the heart;
s2, the heart in the ultrasonic image containing the heart is separately segmented to obtain an ultrasonic image of the whole heart, and the method specifically comprises the following steps: obtaining a first heart ultrasonic image in the outline by segmenting the outline of the heart, obtaining a second heart ultrasonic image by the characteristic ultrasonic color depth of the whole heart, and finally, mutually coinciding and correcting the first heart ultrasonic image and the second heart ultrasonic image to obtain an ultrasonic image of the whole heart;
the heart region segmentation model is specifically constructed by the following steps:
the first step is as follows: firstly, forming a data set by ultrasonic images of a plurality of hearts, and extracting diaphragm line characteristics and heart overall contour line characteristics among the left atrium, the right atrium, the left ventricle or the right ventricle of each heart ultrasonic image sample in the data set;
secondly, training a machine learning model by using a data set, wherein the machine learning model takes standardized diaphragm line features and heart overall contour line features as input, takes a segmentation region of the left atrium, the right atrium, the left ventricle or the right ventricle of the heart as output, divides the data set into a training set and a verification set, trains multiple machine learning models simultaneously by using the training set, evaluates the performance accuracy of different machine learning models by using the verification set, and selects the best-performing machine learning model to construct a heart region segmentation model, wherein the selected machine learning model is at least one of logistic regression, linear discriminant analysis, K neighbor, naive Bayes, a support vector machine, a forest and a neural network;
s3, respectively obtaining ultrasonic images of the left atrium, the right atrium, the left ventricle and the right ventricle of the heart from the ultrasonic image of the whole heart through a heart region segmentation model;
s4, denoising and clearing the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart, specifically comprising the following steps: and carrying out denoising and clearing processing on the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart by a mean filter.
In yet another aspect, the present application further provides a computer device, which includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method when executing the computer program.
In yet another aspect, the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the method described above.
The foregoing is merely a preferred embodiment of the invention and is not intended to limit the invention in any manner; the present invention may be readily implemented by those of ordinary skill in the art as illustrated in the accompanying drawings and described above; however, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the scope of the invention as defined by the appended claims; meanwhile, any equivalent changes, modifications and evolutions made to the above embodiments according to the substantial technology of the present invention are still within the protection scope of the technical solution of the present invention.
Claims (10)
1. An ultrasound imaging method, comprising the steps of:
s1, firstly, carrying out ultrasonic imaging on a chest cavity to obtain an ultrasonic image containing a heart;
s2, independently segmenting the heart in the ultrasonic image containing the heart to obtain an ultrasonic image of the whole heart;
s3, respectively obtaining ultrasonic images of the left atrium, the right atrium, the left ventricle and the right ventricle of the heart from the ultrasonic image of the whole heart through a heart region segmentation model;
and S4, denoising and clearing the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart.
2. The ultrasonic imaging method according to claim 1, wherein in S1, firstly, the thoracic cavity is subjected to ultrasonic imaging to obtain an ultrasonic image including a heart, specifically: the thorax of the patient is detected by an ultrasonic detector and an ultrasonic image containing the heart is obtained.
3. The method according to claim 1, wherein in S2, the heart in the ultrasound image including the heart is segmented individually, specifically: the method comprises the steps of obtaining a first heart ultrasonic image in the outline by segmenting the outline of the heart, obtaining a second heart ultrasonic image by the characteristic ultrasonic color depth of the whole heart, and finally, carrying out mutual coincidence correction on the first heart ultrasonic image and the second heart ultrasonic image to obtain an ultrasonic image of the whole heart.
4. The ultrasonic imaging method according to claim 1, wherein in S3, the heart region segmentation model is constructed by:
the first step is as follows: firstly, forming a data set by ultrasonic images of a plurality of hearts, and extracting diaphragm line characteristics and heart overall contour line characteristics among the left atrium, the right atrium, the left ventricle or the right ventricle of each heart ultrasonic image sample in the data set;
and secondly, training a machine learning model by using the data set, wherein the machine learning model takes the standardized diaphragm line features and the heart overall contour line features as input, takes the segmented regions of the left atrium, the right atrium, the left ventricle or the right ventricle of the heart as output, and obtains a heart region segmented model through supervised learning.
5. The ultrasonic imaging method of claim 1, wherein the data set is divided into a training set and a verification set, a plurality of machine learning models are trained simultaneously by using the training set, the performance accuracy of different machine learning models is evaluated by using the verification set, and the best performing machine learning model is selected to construct the heart region segmentation model.
6. An ultrasound imaging method according to claim 1, wherein the selected machine learning model is at least one of logistic regression, linear discriminant analysis, K-nearest neighbors, naive bayes, support vector machines, random forests, neural networks.
7. The ultrasonic imaging method according to claim 1, wherein in S4, the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart are denoised and clarified, specifically: and carrying out denoising and clearing processing on the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart by a mean filter.
8. An ultrasound imaging system, characterized in that the system comprises:
the thoracic cavity ultrasonic imaging module is used for carrying out ultrasonic imaging on the thoracic cavity to obtain an ultrasonic image containing the heart;
the heart whole image obtaining module is used for carrying out independent segmentation on the heart in the ultrasonic image containing the heart to obtain the ultrasonic image of the heart whole;
the heart region segmentation module is used for respectively obtaining ultrasonic images of the left atrium, the right atrium, the left ventricle and the right ventricle of the heart from the ultrasonic image of the whole heart through a heart region segmentation model;
and the denoising and clarifying module is used for denoising and clarifying the ultrasonic images of the left atrium, the right atrium, the left ventricle, the right ventricle and the whole heart.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor when executing the computer program performs the steps of the method according to any of claims 1 to 7.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117379098A (en) * | 2023-10-17 | 2024-01-12 | 齐齐哈尔医学院 | Heart ultrasonic image enhancement system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117379098A (en) * | 2023-10-17 | 2024-01-12 | 齐齐哈尔医学院 | Heart ultrasonic image enhancement system |
| CN117379098B (en) * | 2023-10-17 | 2024-05-14 | 齐齐哈尔医学院 | Heart ultrasonic image enhancement system |
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