CN111803104A - Medical image display method, medium and electronic equipment - Google Patents
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Abstract
The invention provides a medical image display method, a medium and an electronic device. The medical image display method comprises the following steps: acquiring a medical image; wherein the medical image comprises a target blood vessel; acquiring an initial window level and/or an initial window width of the medical image; acquiring a lesion condition of the target blood vessel; adjusting the initial window level and/or the initial window width according to the pathological condition of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image; and displaying the medical image according to the window level of the medical image and/or the window width of the medical image. The medical image display method can automatically acquire the window level and the window width of the medical image, so that medical staff do not need to manually adjust the window level and the window width, and the efficiency is high.
Description
Technical Field
The present invention relates to a display method, and more particularly, to a medical image display method, medium, and electronic device, which belong to the field of medical image processing.
Background
With the continuous development of medical imaging technology, acquiring medical images of patients and diagnosing diseases according to the medical images has become a routine diagnosis scheme for some diseases. CT angiography (CTA), a commonly used medical imaging technique, is widely used in the diagnosis of vascular diseases. When medical image is read, the window width and the window level of the medical image need to be reasonably adjusted so as to facilitate observation of medical staff. The window width refers to the size of an interval of the medical image gray scale, the window level refers to the gray scale value of the central point of the interval, and the two gray scale values can determine a gray scale interval; the method comprises the steps of converting pixels of a medical image in a gray scale interval determined by a window width and a window level into 8-bit gray scale values (namely 0-255), converting pixels smaller than the lower limit value of the interval into 0, and converting pixels larger than the upper limit value of the interval into 255, so that an 8-bit image with a gray scale range of [0, 255] is obtained, and the image can be directly displayed on common display equipment. However, in practical applications, the inventor finds that, when medical staff reads medical images, the window width and the window level of the medical images often need to be manually adjusted, which is inefficient.
Disclosure of Invention
In view of the above-mentioned shortcomings of the prior art, it is an object of the present invention to provide a medical image display method, medium and electronic device, which are used to solve the problem of the prior art that the window width and the window level of the medical image need to be manually adjusted.
To achieve the above and other related objects, a first aspect of the present invention provides a medical image display method; the medical image display method comprises the following steps: acquiring a medical image; wherein the medical image comprises a target blood vessel; acquiring an initial window level and/or an initial window width of the medical image; acquiring a lesion condition of the target blood vessel; adjusting the initial window level and/or the initial window width according to the pathological condition of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image; and displaying the medical image according to the window level of the medical image and/or the window width of the medical image.
In an embodiment of the first aspect, a method for obtaining an initial window level and/or an initial window width of the medical image includes: obtaining a background tissue density of the target vessel; and acquiring the initial window level and/or the initial window width of the medical image according to the background tissue density of the target blood vessel.
In an embodiment of the first aspect, a method for obtaining an initial window level and/or an initial window width of the medical image includes: acquiring a scanning part of the medical image; and acquiring an initial window level and/or an initial window width of the medical image according to the scanning part.
In an embodiment of the first aspect, a method for obtaining a lesion status of the target blood vessel includes: acquiring CT values of a plurality of pixel points in the target blood vessel according to the medical image; and acquiring the pathological change condition of the target blood vessel according to the CT values and the pathological change threshold of the plurality of pixel points in the target blood vessel.
In an embodiment of the first aspect, a method for obtaining a lesion status of the target blood vessel includes: acquiring the target blood vessel according to the medical image; processing the target blood vessel by using a convolution neural network model to obtain the pathological condition of the target blood vessel; the training method of the convolutional neural network model comprises the following steps: acquiring training data; the training data comprises a training blood vessel and a lesion status of the training blood vessel; and training the convolutional neural network model by using the training data.
In an embodiment of the first aspect, a method for adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image includes: the pathological condition of the target vessel includes: a vascular stent is implanted in the target blood vessel; acquiring a first window position change amount and/or a first window width change amount according to the condition of the blood vessel stent; and adjusting the initial window level and/or the initial window width according to the first window level change amount and/or the first window width change amount to obtain the window level of the medical image and/or the window width of the medical image.
In an embodiment of the first aspect, a method for adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image includes: the diseased condition of the target vessel includes vessel wall calcification; acquiring a calcified area in the target blood vessel; acquiring an average CT value of the calcified area; acquiring a second window level change amount and/or a second window width change amount according to the average CT value of the calcified area; and adjusting the initial window level and/or the initial window width according to the second window level change amount and/or the second window width change amount to obtain the window level of the medical image and/or the window width of the medical image.
In an embodiment of the first aspect, a method for adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image includes: acquiring a lesion area of the target blood vessel according to the lesion condition of the target blood vessel; acquiring CT value distribution and average CT values of the lesion area; processing the input data by utilizing a neural network model to obtain a third window bit change amount and/or a third window width change amount; wherein the input data comprises an initial window level and/or an initial window width of the medical image and comprises a distribution of CT values and an average CT value of the lesion region; and adjusting the initial window level and/or the initial window width according to the third window level change amount and/or the third window width change amount to obtain the window level of the medical image and/or the window width of the medical image.
A second aspect of the present invention provides a computer-readable storage medium having a computer program stored thereon; the computer program, when executed by a processor, implements the medical image display method of the first aspect.
A third aspect of the present invention provides an electronic apparatus, comprising: a memory storing a computer program; a processor, communicatively connected to the memory, for executing the medical image display method of the first aspect when the computer program is invoked; and the display is in communication connection with the processor and the memory and is used for displaying the related GUI interactive interface of the medical image display.
As described above, the medical image display method, medium, and electronic device according to the present invention have the following advantages:
the medical image display method can acquire an initial window level and/or an initial window width of the medical image, and adjust the initial window level and/or the initial window width according to the pathological change condition of the target blood vessel to acquire the window level and the window width of the medical image, so as to display the medical image. Therefore, the medical image display method can automatically acquire the window level and the window width of the medical image, so that medical staff do not need to manually adjust the window level and the window width, and the efficiency is high.
Drawings
Fig. 1 is a flowchart illustrating a medical image displaying method according to an embodiment of the invention.
Fig. 2A is a flowchart illustrating a step S12 of the medical image displaying method according to an embodiment of the invention.
Fig. 2B is a diagram illustrating an exemplary pulmonary artery CTA image obtained by the medical image displaying method according to an embodiment of the present invention.
Fig. 2C is a diagram illustrating an example of an abdominal aorta CTA image obtained by the medical image display method according to an embodiment of the present invention.
Fig. 3 is a flowchart illustrating a step S12 of a medical image displaying method according to another embodiment of the invention.
Fig. 4 is a flowchart illustrating the step S13 of the medical image displaying method according to an embodiment of the invention.
Fig. 5A is a flowchart illustrating a step S13 of a medical image displaying method according to another embodiment of the invention.
FIG. 5B is a flowchart illustrating a method for displaying medical images according to an embodiment of the invention for training a convolutional neural network model.
Fig. 6A is a flowchart illustrating the medical image displaying method of the present invention in step S14 according to an embodiment of the present invention.
Fig. 6B shows a coronary CTA image obtained by the medical image displaying method according to an embodiment of the present invention.
Fig. 7A is a flowchart illustrating a step S14 of a medical image displaying method according to another embodiment of the invention.
Fig. 7B shows a coronary CTA image obtained by the medical image displaying method according to an embodiment of the present invention.
Fig. 8A is a flowchart illustrating a step S14 of a medical image displaying method according to another embodiment of the invention.
Fig. 8B is a flowchart illustrating a training process of a neural network model according to an embodiment of the medical image displaying method of the present invention.
Fig. 9 is a schematic structural diagram of an electronic device according to an embodiment of the invention.
Description of the element reference numerals
900 electronic device
910 memory
920 processor
930 display
S11-S15
S121 a-S122 a
S121 b-S122 b
S131 a-S32 a steps
S131 b-S132 b
S51-S52
S141 a-S142 a
S141 b-S144 b
S141 c-S144 c
S81-S85
Detailed Description
The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.
It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the drawings only show the components related to the present invention rather than the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.
When medical staff reads medical images, the window width and the window level of the medical images are often required to be manually adjusted, and the efficiency is low. In view of the above problem, the present invention provides a method for displaying medical images. The medical image display method can acquire an initial window level and/or an initial window width of the medical image, and adjust the initial window level and/or the initial window width according to the pathological change condition of the target blood vessel to acquire the window level and the window width of the medical image, so as to display the medical image. Therefore, the medical image display method can automatically acquire the window level and the window width of the medical image, so that medical staff do not need to manually adjust the window level and the window width, and the efficiency is high.
Referring to fig. 1, in an embodiment of the present invention, the medical image displaying method includes:
s11, acquiring a medical image; wherein the medical image comprises a target blood vessel. Preferably, the medical image is a CTA image. The target blood vessel is, for example, a head blood vessel, a carotid artery, a pulmonary vein, an aorta, a coronary artery, an upper limb artery, a lower limb artery, or the like.
And S12, acquiring the initial window level and/or the initial window width of the medical image. The initial window level and/or the initial window width may be determined according to the type of the target blood vessel for enabling medical staff to approximately observe the target blood vessel and the lesion status thereof, and therefore, the accuracy requirement of the medical image display method on the initial window level and/or the initial window width is low, namely: the initial window level and/or the initial window width may be in error.
S13, acquiring the pathological condition of the target blood vessel. The pathological condition of the target blood vessel refers to a difference between the target blood vessel and a normal blood vessel, such as: the stent is placed in the blood vessel, and calcification of the blood vessel wall exists.
S14, adjusting the initial window level and/or the initial window width according to the pathological condition of the target blood vessel to obtain the window level and/or the window width of the medical image. The window level of the medical image can be regarded as the window level obtained after the initial window level is corrected, and the window width of the medical image can be regarded as the window width obtained after the initial window width is corrected, so that the window level and/or the window width of the medical image are/is higher in precision.
S15, displaying the medical image according to the window level and/or the window width of the medical image. Since the window level and/or the window width of the medical image are obtained by correcting the initial window level and/or the initial window width according to the pathological change condition of the target blood vessel, medical staff can observe the pathological change condition of the target blood vessel more clearly based on the window level and/or the initial window width.
As can be seen from the above description, the medical image display method according to this embodiment can obtain an initial window level and/or an initial window width of the medical image, and adjust the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level and the window width of the medical image, so as to display the medical image. Therefore, the medical image display method can automatically acquire the window level and the window width of the medical image, so that medical staff do not need to manually adjust the window level and the window width, and the efficiency is high.
Referring to fig. 2A, in an embodiment of the present invention, an implementation method for obtaining an initial window level and/or an initial window width of the medical image includes:
s121a, obtaining the background tissue density of the target blood vessel. Wherein the background tissue is tissue surrounding the target blood vessel, for example, in case of abdominal aorta, the background tissue is soft tissue and has relatively high density.
S122a, acquiring the initial window level and/or the initial window width of the medical image according to the background tissue density of the target blood vessel. Wherein the higher the density of the background tissue, the larger the values of the initial window level and the initial window width.
In this embodiment, the relationship between the background tissue density and the initial window level and/or the initial window width may be obtained by data fitting. Specifically, a plurality of medical images with well-adjusted window levels and/or window widths are obtained, and the adjustment can be performed manually by medical staff; acquiring a plurality of data points, wherein each data point corresponds to a medical image with the adjusted window level and/or window width, the abscissa of the data point is the background tissue density of the medical image, and the ordinate is the adjusted window level and/or window width of the medical image; fitting the plurality of data points to obtain a fitted curve, the fitted curve being usable to represent the background tissue density versus the initial window level and/or initial window width. Since the accuracy of the initial window level and/or initial window width is not required for the medical image display method, step S12b may approximate the initial window level and/or initial window width using the fitted curve for any background tissue density acquired in step S12 a. Referring to fig. 2B, a CTA image of a pulmonary artery is shown, in which the background tissue density is relatively low, and the initial window width is set to 920Hu and the initial window level is set to 2978Hu by the method described in steps S11a to S12a of this embodiment; referring to fig. 2C, an abdominal aorta CTA image is shown, in which the background tissue is soft tissue and the density is relatively high, and the initial window width is set to 632Hu and the initial window level is set to 2285Hu by the methods described in steps S11a to S12a of this embodiment.
Referring to fig. 3, in an embodiment of the present invention, an implementation method for obtaining an initial window level and/or an initial window width of the medical image includes:
and S121b, acquiring the scanning part of the medical image. The scanning part of the medical image comprises a head, a neck, a lung, a heart, an upper limb, a lower limb and the like, and in specific application, the scanning part of the medical image can be obtained through the existing image recognition, machine learning and other schemes.
And S122b, acquiring the initial window level and/or the initial window width of the medical image according to the scanning part. Different scanning parts often correspond to different initial window levels and/or initial window widths, for example, the initial window levels and/or initial window widths of the medical images may be obtained according to the scanning parts by looking up table 1, where table 1 may be obtained by performing statistics on the medical images with the window widths and/or window levels adjusted, or may be compiled by medical professionals. It should be noted that table 1 only exemplifies several common scanning locations and their corresponding initial window widths and initial window levels, and in practical applications, the contents and values in the table may be adjusted according to requirements.
TABLE 1 correspondence table of scanning position and initial window width/initial window position
| Scanning the site | Initial window width (Hu) | Initial window position (Hu) |
| Brain tissue | 80～100 | 30～40 |
| Kidney (A) | 200～300 | 25～35 |
| Liver and spleen | 100～200 | 30～45 |
Referring to fig. 4, in an embodiment of the present invention, an implementation method for obtaining a lesion status of the target blood vessel includes:
s131a, according to the medical image, CT values of a plurality of pixel points in the target blood vessel are obtained. The medical image can be regarded as formed by arranging a certain number of pixel points with different gray levels according to a matrix form, wherein the gray level values of the pixel points can be represented by CT values, and therefore the CT values of the pixel points can reflect the absorption degree and density of organs and tissues to X rays. In this step, the absorption degree and density of different regions in the target blood vessel to X-rays can be obtained by obtaining the CT values of a plurality of pixel points in the target blood vessel: the lower the CT value is, the poorer the absorption degree of the X-ray is, and the lower density area is formed; higher CT values indicate a higher degree of X-ray absorption, and are high-density regions. Preferably, the CT values of all pixel points in the target blood vessel are obtained in this step.
S132a, acquiring the lesion state of the target blood vessel according to the CT values and the lesion threshold of the plurality of pixel points in the target blood vessel. When a region in the target blood vessel is diseased, the absorption level of the region to X-ray changes, which results in a change of CT value of the region. For example, when the target blood vessel has calcified vessel wall, the CT value of the calcified area will increase; therefore, for calcification of the blood vessel wall, the calcification corresponds to a lesion threshold, and when the CT value of a certain pixel point in the blood vessel region is greater than the lesion threshold, the pixel point can be considered to be located in the calcification region; therefore, the calcified area in the target blood vessel can be obtained according to the CT values of different pixel points in the target blood vessel. Similarly, different lesion conditions correspond to different lesion thresholds, and a lesion area in the target vessel can be obtained according to the relationship between the CT values of the plurality of pixel points in the target vessel and the lesion thresholds.
Referring to fig. 5A, in an embodiment of the present invention, a method for obtaining a lesion status of the target blood vessel includes:
s131b, obtaining the target blood vessel according to the medical image. The method for acquiring the target blood vessel according to the medical image can be realized by using the existing UNet and VNet models, and can also be realized by adopting a threshold value method. When implemented using the thresholding method: firstly, acquiring a CT value range of the target blood vessel region, wherein the target blood vessel region comprises a target blood vessel and a lesion region thereof, and particularly, when the lesion region does not exist in the target blood vessel, the target blood vessel region only contains the target blood vessel; then, all pixel points outside the CT value range are deleted from the medical image, and the target blood vessel can be obtained.
S132b, processing the target blood vessel by using a convolution neural network model to obtain the pathological condition of the target blood vessel. The Convolutional Neural Network (CNN) is a type of feed-forward Neural network that includes Convolutional calculation and has a deep structure, and the Convolutional Neural network model can be made to have the capability of processing a target blood vessel by performing corresponding training on the Convolutional Neural network model, that is: and taking the target blood vessel as the input of the convolutional neural network model, wherein the output of the convolutional neural network model is the pathological change condition of the target blood vessel. Specifically, referring to fig. 5B, the training method for the convolutional neural network model in the present embodiment includes:
s51, acquiring training data; the training data includes a training blood vessel and a lesion status of the training blood vessel. Wherein, the training blood vessel is such as head blood vessel, carotid artery, pulmonary vein, aorta, coronary artery, upper limb artery, lower limb artery, etc., and the pathological change condition of the training blood vessel can be obtained by medical staff labeling. Preferably, the type of the training vessel is the same as the target vessel.
And S52, training the convolutional neural network model by using the training data, wherein the process can be realized by using the existing training method of the CNN network, and details are not repeated here.
In an embodiment of the present invention, the lesion status of the target blood vessel includes: the target blood vessel is implanted with a blood vessel stent. The blood vessel stent has the functions of supporting a blood vessel at a stenotic occlusion section, reducing the elastic retraction and reshaping of the blood vessel, keeping the blood flow of a lumen smooth and the like, can be divided into a coronary stent, a cerebrovascular stent, a renal artery stent, an aorta stent and the like according to the implantation position of the blood vessel stent, and can be divided into an elastic stent, a balloon type stent and the like according to the action principle of the blood vessel stent.
Referring to fig. 6A, in this embodiment, an implementation method for adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image includes:
s141a, obtaining a first window level change amount and/or a first window width change amount according to the condition of the stent. The condition of the blood vessel support comprises the material, implantation position, type and the like of the blood vessel support. The first window level change amount and/or the first window width change amount are empirical values, and may be selected according to actual requirements in specific applications.
S142a, adjusting the initial window level and/or the initial window width according to the first window level change amount and/or the first window width change amount to obtain the window level of the medical image and/or the window width of the medical image. For example, the window level of the medical image may be set to the sum of the initial window level and the first window level change amount, and the window width of the medical image may be set to the sum of the initial window width and the first window width change amount. Fig. 6B shows a coronary CTA image obtained in the present embodiment, in which a blood vessel stent is implanted; in this embodiment, the initial window width is 902Hu, the initial window level is 2930Hu, the first window level change amount is 48Hu, and the first window width change amount is 18Hu, so that the window width of the coronary CTA image is finally set to 920Hu, and the window level is finally set to 2978 Hu.
In an embodiment of the present invention, the pathological condition of the target blood vessel includes calcification of a blood vessel wall. Referring to fig. 7A, in this embodiment, an implementation method for adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image includes:
and S141b, acquiring a calcified area in the target blood vessel. The method for obtaining the calcified area may be implemented based on a lesion threshold of calcification of a blood vessel wall, or may be implemented by using an AI segmentation model, which is not limited herein.
S142, 142b, obtaining the average CT value of the calcified area. For example, the average CT value of the calcified region may be obtained by averaging the CT values of all the pixels in the calcified region.
S143b, obtaining a second window level change amount and/or a second window width change amount according to the average CT value of the calcified region. Wherein the second window level change amount may be set as a product of the average CT value and a first coefficient, and the second window width change amount may be set as a product of the average CT value and a second coefficient. The first coefficient and the second coefficient are empirical values, and can be selected according to actual requirements in specific application; for example, the first coefficient and the second coefficient may both be set to 1.
S144b, adjusting the initial window level and/or the initial window width according to the second window level change amount and/or the second window width change amount to obtain the window level of the medical image and/or the window width of the medical image. Wherein the window level of the medical image may be set to a sum of the initial window level and the second window level change amount, and the window width of the medical image may be set to a sum of the initial window width and the second window width change amount. Referring to fig. 7B, a coronary CTA image obtained in the present embodiment is shown, in which the initial window width is 620Hu, the initial window level is 2251Hu, the second window width change amount is 12Hu, and the second window level change amount is 34Hu, so that the window width of the coronary CTA image is finally set to 632Hu, and the window level is finally set to 2285 Hu.
Referring to fig. 8A, in an embodiment of the present invention, an implementation method for adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image includes:
s141c, acquiring the lesion area of the target blood vessel according to the lesion state of the target blood vessel. Specifically, the lesion region may be implemented based on the CT value of the target blood vessel and a lesion threshold, or implemented by using an AI segmentation model, which is not described herein again. For example, if the lesion status is calcification of a blood vessel wall, the lesion area is a calcified area in the target blood vessel.
S142c, obtaining the CT value distribution and the average CT value of the lesion region. The distribution of the CT values of the lesion region may be represented by a probability distribution function or a probability density function, or may be represented by a statistical graph. In addition, the present embodiment may further obtain an average value of CT values of all pixel points in the lesion region as the CT value of the lesion region.
S143c, processing the input data by a neural network model to obtain a third window position change amount and/or a third window width change amount; wherein the input data comprises an initial window level and/or an initial window width of the medical image and comprises a distribution of CT values and an average CT value of the lesion region.
Referring to fig. 8B, a training method of a neural network model adopted in the present embodiment includes:
s81, acquiring a training medical image; wherein the training medical image comprises a training blood vessel; preferably, the training vessel is of the same type as the target vessel.
And S82, acquiring the initial window level and/or the initial window width of the training medical image. This step can be implemented by a scheme similar to S12, which is not described herein.
S83, acquiring the CT value distribution of the lesion area in the training blood vessel and the average CT value of the lesion area.
S84, obtaining the window position change and/or the window width change of the training medical image; the window level change amount and/or the window width change amount of the training medical image may be obtained by the methods of S141 a-S142 a, or S141 b-S143 b, or may be manually set by a medical staff.
S85, training the neural network model by using the initial window level and/or the initial window width of the training medical image, the CT value distribution and the average CT value of the lesion region, and the window level change and/or the window width change of the training medical image.
S144c, adjusting the initial window level and/or the initial window width according to the third window level change amount and/or the third window width change amount, so as to obtain the window level of the medical image and/or the window width of the medical image. For example, the window level of the medical image may be set to the sum of the initial window level and the third window level change amount, and the window width of the medical image may be set to the sum of the initial window width and the fourth window width change amount.
Based on the above description of the medical image display method, the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the medical image display method of the present invention.
Based on the above description of the medical image display method, the invention further provides an electronic device. Referring to fig. 9, in an embodiment of the invention, the electronic apparatus 900 includes: a memory 910 storing a computer program; a processor 920, communicatively connected to the memory 910, for executing the medical image display method of the present invention when the computer program is invoked; a display 930 communicatively coupled to the processor 920 and the memory 910 for displaying the GUI interface associated with the medical image display.
The protection scope of the medical image displaying method of the present invention is not limited to the execution sequence of the steps illustrated in the embodiment, and all the solutions implemented by the steps addition, subtraction, and step replacement in the prior art according to the principle of the present invention are included in the protection scope of the present invention.
The medical image display method can acquire an initial window level and/or an initial window width of the medical image, and adjust the initial window level and/or the initial window width according to the pathological change condition of the target blood vessel to acquire the window level and the window width of the medical image, so as to display the medical image. Therefore, the medical image display method can automatically acquire the window level and the window width of the medical image, so that medical staff do not need to manually adjust the window level and the window width, and the efficiency is high.
In conclusion, the present invention effectively overcomes various disadvantages of the prior art and has high industrial utilization value.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (10)
1. A medical image display method, comprising:
acquiring a medical image; wherein the medical image comprises a target blood vessel;
acquiring an initial window level and/or an initial window width of the medical image;
acquiring a lesion condition of the target blood vessel;
adjusting the initial window level and/or the initial window width according to the pathological condition of the target blood vessel to obtain the window level of the medical image and/or the window width of the medical image;
and displaying the medical image according to the window level of the medical image and/or the window width of the medical image.
2. The method for displaying medical images according to claim 1, wherein one method for obtaining the initial window level and/or the initial window width of the medical image comprises:
obtaining a background tissue density of the target vessel;
and acquiring the initial window level and/or the initial window width of the medical image according to the background tissue density of the target blood vessel.
3. The method for displaying medical images according to claim 1, wherein one method for obtaining the initial window level and/or the initial window width of the medical image comprises:
acquiring a scanning part of the medical image;
and acquiring an initial window level and/or an initial window width of the medical image according to the scanning part.
4. The method as claimed in claim 1, wherein the obtaining of the lesion status of the target vessel is achieved by:
acquiring CT values of a plurality of pixel points in the target blood vessel according to the medical image;
and acquiring the pathological change condition of the target blood vessel according to the CT values and the pathological change threshold of the plurality of pixel points in the target blood vessel.
5. The method as claimed in claim 1, wherein the obtaining of the lesion status of the target vessel is achieved by:
acquiring the target blood vessel according to the medical image;
processing the target blood vessel by using a convolution neural network model to obtain the pathological condition of the target blood vessel;
the training method of the convolutional neural network model comprises the following steps:
acquiring training data; the training data comprises a training blood vessel and a lesion status of the training blood vessel;
and training the convolutional neural network model by using the training data.
6. The method for displaying medical images according to claim 1, wherein the adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level and/or the window width of the medical image comprises:
the pathological condition of the target vessel includes: a vascular stent is implanted in the target blood vessel;
acquiring a first window position change amount and/or a first window width change amount according to the condition of the blood vessel stent;
and adjusting the initial window level and/or the initial window width according to the first window level change amount and/or the first window width change amount to obtain the window level of the medical image and/or the window width of the medical image.
7. The method for displaying medical images according to claim 1, wherein the adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level and/or the window width of the medical image comprises:
the diseased condition of the target vessel includes vessel wall calcification;
acquiring a calcified area in the target blood vessel;
acquiring an average CT value of the calcified area;
acquiring a second window level change amount and/or a second window width change amount according to the average CT value of the calcified area;
and adjusting the initial window level and/or the initial window width according to the second window level change amount and/or the second window width change amount to obtain the window level of the medical image and/or the window width of the medical image.
8. The method for displaying medical images according to claim 1, wherein the adjusting the initial window level and/or the initial window width according to the lesion status of the target blood vessel to obtain the window level and/or the window width of the medical image comprises:
acquiring a lesion area of the target blood vessel according to the lesion condition of the target blood vessel;
acquiring CT value distribution and average CT values of the lesion area;
processing the input data by utilizing a neural network model to obtain a third window bit change amount and/or a third window width change amount; wherein the input data comprises an initial window level and/or an initial window width of the medical image and comprises a distribution of CT values and an average CT value of the lesion region;
and adjusting the initial window level and/or the initial window width according to the third window level change amount and/or the third window width change amount to obtain the window level of the medical image and/or the window width of the medical image.
9. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program, when executed by a processor, implements the medical image display method of any one of claims 1-8.
10. An electronic device, characterized in that the electronic device comprises:
a memory storing a computer program;
a processor, communicatively coupled to the memory, for executing the medical image display method of any one of claims 1-8 when the computer program is invoked;
and the display is in communication connection with the processor and the memory and is used for displaying the related GUI interactive interface of the medical image display.
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