CN115880438A - Head model construction method and system, electronic device and storage medium - Google Patents
Head model construction method and system, electronic device and storage medium Download PDFInfo
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- CN115880438A CN115880438A CN202310018923.9A CN202310018923A CN115880438A CN 115880438 A CN115880438 A CN 115880438A CN 202310018923 A CN202310018923 A CN 202310018923A CN 115880438 A CN115880438 A CN 115880438A
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- 238000010276 construction Methods 0.000 title claims abstract description 32
- 238000012545 processing Methods 0.000 claims abstract description 70
- 238000004040 coloring Methods 0.000 claims abstract description 20
- 238000004088 simulation Methods 0.000 claims abstract description 17
- 238000000034 method Methods 0.000 claims abstract description 14
- 206010008111 Cerebral haemorrhage Diseases 0.000 claims abstract description 9
- 238000004364 calculation method Methods 0.000 claims abstract description 9
- 210000004556 brain Anatomy 0.000 claims description 17
- 208000016988 Hemorrhagic Stroke Diseases 0.000 claims description 9
- 208000020658 intracerebral hemorrhage Diseases 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 6
- 238000013421 nuclear magnetic resonance imaging Methods 0.000 claims description 6
- 210000001519 tissue Anatomy 0.000 description 43
- 208000006011 Stroke Diseases 0.000 description 6
- 238000001514 detection method Methods 0.000 description 6
- 208000032843 Hemorrhage Diseases 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000002595 magnetic resonance imaging Methods 0.000 description 4
- 238000005481 NMR spectroscopy Methods 0.000 description 3
- 210000001175 cerebrospinal fluid Anatomy 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 210000004885 white matter Anatomy 0.000 description 3
- 230000000740 bleeding effect Effects 0.000 description 2
- 230000002490 cerebral effect Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000008520 organization Effects 0.000 description 2
- 206010008190 Cerebrovascular accident Diseases 0.000 description 1
- 208000032382 Ischaemic stroke Diseases 0.000 description 1
- 230000001154 acute effect Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
- 210000005013 brain tissue Anatomy 0.000 description 1
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- 238000004891 communication Methods 0.000 description 1
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Abstract
The invention discloses a head model construction method, a system, electronic equipment and a storage medium, and relates to the field of head model construction, wherein the method comprises the steps of obtaining an original image; carrying out miscellaneous point and miscellaneous line processing on the original image to obtain a boundary identification picture; vectorizing the boundary identification picture to obtain a vector picture; carrying out three-dimensional construction on each tissue in the vector picture to obtain a head three-dimensional model; coloring the head three-dimensional model to obtain a head model; the head model is used for performing electromagnetic simulation calculation to monitor the position of the cerebral hemorrhage point.
Description
Technical Field
The present invention relates to the field of head model construction, and in particular, to a head model construction method, a head model construction system, an electronic device, and a storage medium.
Background
Stroke is an acute cerebrovascular disease with high morbidity, high mortality and high disability rate, including hemorrhagic stroke and ischemic stroke, which are caused by cerebrovascular rupture and cerebrovascular blockage respectively, and because the effectiveness of the disease treatment depends on the intervention time and the illness state of a patient can be worsened rapidly, a low-cost, portable and accurate monitoring device is needed to realize stroke monitoring, detect and identify the stroke condition and the bleeding point position as soon as possible, thereby providing more possibilities for saving lives of more people. Microwave detection starts in the 50 th 20 th century, and with the rapid development of computer technology and electrical and electronic technology and the promotion of practical application requirements, microwave signal detection and imaging have been used in various directions, such as agriculture and forestry and marine surveying, military reconnaissance, mapping, wireless communication and the like. Microwave signals have attracted much attention in medical detection due to the advantages of large amount of portable information and high safety.
Due to the complexity of human tissues, microwaves penetrate through human bodies to generate scattering, great difficulty is caused to the later-stage signal extraction and processing, and with the continuous improvement of antenna technology, microwave sensors and computer processing capability in recent years, the application of the microwaves in the medical field, particularly the detection of cerebral apoplexy, is greatly promoted. The application of microwave imaging technology to medical monitoring has become a necessary future trend, and the advantages of microwave monitoring are highlighted in various aspects, such as money cost, false detection rate, detection time and equipment volume.
Therefore, a simulation test stage at the initial stage of equipment research needs a verisimistic brain model as a basis, and the electrical characteristics of each tissue of the brain are stored inside the simulation test stage, so that a basis is provided for the later real application of the simulation test stage to human stroke monitoring.
Most of existing brain models applied to electromagnetic wave monitoring of stroke are two-dimensional models or three-dimensional simple models, internal structures (skin, skull, cerebrospinal fluid, dura mater, gray matter, white matter and blood) of human brains cannot be truly reflected, other modeling modes have limitations, and electromagnetic microwave software cannot be introduced subsequently to carry out simulation experiments.
Disclosure of Invention
The invention aims to provide a head model construction method, a head model construction system, an electronic device and a storage medium, so that the limitation of a head model is reduced, and the application range of the head model is widened.
In order to achieve the purpose, the invention provides the following scheme:
a head model construction method, comprising:
acquiring an original image; weighting a nuclear magnetic resonance imaging hemorrhagic stroke image within longitudinal relaxation time by the original image patient;
carrying out miscellaneous point and miscellaneous line processing on the original image to obtain a boundary identification picture;
vectorizing the boundary identification picture to obtain a vector picture;
carrying out three-dimensional construction on each tissue in the vector picture to obtain a head three-dimensional model;
coloring the head three-dimensional model to obtain a head model; the head model is used for performing electromagnetic simulation calculation to monitor the position of a cerebral hemorrhage point.
Optionally, the performing of the miscellaneous point and miscellaneous line processing on the original image to obtain the boundary identification picture specifically includes:
processing the original image by using a Canny operator to obtain a boundary contour identification picture;
assigning values to the miscellaneous points and miscellaneous lines outside the brain in the boundary contour recognition picture to obtain an image after the miscellaneous points and miscellaneous lines are processed;
and processing the image after the miscellaneous point and miscellaneous line processing by using a Canny operator to obtain a boundary identification picture.
Optionally, the vectorizing the boundary identification picture to obtain a vector picture specifically includes:
and carrying out vectorization treatment on the boundary identification picture by using CorelDRAW to obtain a vector picture.
Optionally, the three-dimensionally constructing each tissue in the vector picture to obtain a head three-dimensional model specifically includes:
stretching each tissue in the vector picture by using AutoCAD to obtain a stretched picture;
carrying out tissue distinguishing and tissue merging on the stretched picture by using AutoCAD to obtain a classified tissue;
and coloring and stacking the classified tissues to obtain a head three-dimensional model.
The present invention also provides a head model construction system, including:
the acquisition module is used for acquiring an original image; the original image is a weighted nuclear magnetic resonance imaging hemorrhagic stroke image of a patient within longitudinal relaxation time;
the miscellaneous point and miscellaneous line processing module is used for carrying out miscellaneous point and miscellaneous line processing on the original image to obtain a boundary identification picture;
the vectorization processing module is used for carrying out vectorization processing on the boundary identification picture to obtain a vector picture;
the three-dimensional construction module is used for carrying out three-dimensional construction on each tissue in the vector picture to obtain a head three-dimensional model;
the coloring module is used for coloring the head three-dimensional model to obtain a head model; the head model is used for performing electromagnetic simulation calculation to monitor the position of a cerebral hemorrhage point.
Optionally, the miscellaneous point and miscellaneous line processing module specifically includes:
the first processing unit is used for processing the original image by using a Canny operator to obtain a boundary contour identification picture;
the assignment processing unit is used for performing assignment processing on the miscellaneous points and the miscellaneous lines outside the brain in the boundary contour recognition picture to obtain an image after the miscellaneous points and the miscellaneous lines are processed;
and the second processing unit is used for processing the image after the miscellaneous point and miscellaneous line processing by using a Canny operator to obtain a boundary identification picture.
Optionally, the vectorization processing module specifically includes:
and the vectorization processing unit is used for carrying out vectorization processing on the boundary identification picture by using CorelDRAW to obtain a vector picture.
Optionally, the three-dimensional building module specifically includes:
the stretching unit is used for stretching each tissue in the vector picture by using AutoCAD to obtain a stretched picture;
the tissue distinguishing and combining unit is used for carrying out tissue distinguishing and tissue combining on the stretching picture by utilizing AutoCAD to obtain a classified tissue;
and the coloring and stacking unit is used for coloring and stacking the classified tissues to obtain a head three-dimensional model.
The present invention also provides an electronic device comprising:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as in any above.
The invention also provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method as described in any of the above.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention obtains an original image; the original image is a weighted nuclear magnetic resonance imaging hemorrhagic stroke image of a patient within longitudinal relaxation time; carrying out miscellaneous point and miscellaneous line processing on the original image to obtain a boundary identification picture; vectorizing the boundary identification picture to obtain a vector picture; carrying out three-dimensional construction on each tissue in the vector picture to obtain a head three-dimensional model; coloring the head three-dimensional model to obtain a head model; the head model is used for performing electromagnetic simulation calculation to monitor the position of the cerebral hemorrhage point, so that the limitation of the head model is reduced to improve the application range of the head model
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a picture after miscellaneous point and miscellaneous line processing;
FIG. 2 is a comparison graph of simulated signals of a model with and without bleeding points;
FIG. 3 is a difference of two signals;
FIG. 4 is a schematic diagram of a head model construction method;
FIG. 5 is an original image simplified without Photoshop;
FIG. 6 is a simplified image using Photoshop;
FIG. 7 is a boundary identification picture;
FIG. 8 is a white matter structure of the brain after stretching of one of the images;
FIG. 9 is a cerebral cerebrospinal fluid structure after stretching of one of the images;
FIG. 10 shows the introduction of a brain model of CST;
FIG. 11 is a flowchart of a head model construction method provided by the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
The invention aims to provide a head model construction method, a head model construction system, an electronic device and a storage medium, so that the limitation of a head model is reduced, and the application range of the head model is widened.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
As shown in fig. 4 and 11, the present invention provides a head model construction method, including:
step 101: acquiring an original image; the original image is a weighted Magnetic Resonance Imaging (MRI) hemorrhagic stroke image within the longitudinal relaxation time T1.
Photoshop is used for T1 weighted MRI hemorrhagic stroke images of patients to simplify original images and enable brain tissues to be clear. T1 and T2 in nuclear magnetic resonance indicate specific numerical values and are related to nuclear spins. Where T1 refers to the longitudinal relaxation time and T2 refers to the transverse relaxation time. In a human body, the values of T1 and T2 are different between a diseased tissue and a normal tissue, and therefore, a disease can be diagnosed by a nuclear magnetic examination. Magnetic Resonance Imaging (MRI) is a method of using the principle of Nuclear Magnetic Resonance (NMR), based on the different attenuation of the released energy in different structural environments inside a substance, by detecting the emitted electromagnetic waves with an external gradient Magnetic field, the position and the type of the nuclei constituting the object can be known, and accordingly, the structural image inside the object can be drawn.
Step 102: and carrying out miscellaneous point and miscellaneous line processing on the original image to obtain a boundary identification picture. As shown in fig. 1, matlab is used to perform a miscellaneous point and miscellaneous line processing on the simplified original image and extract a tissue contour.
and processing the original image by using a Canny operator to obtain a boundary contour recognition picture. The Photoshop simplified images are all imported into the Matlab program, the number of files is read, and the height and width of all the images are read. And obtaining a boundary contour identification picture by using a Canny operator in the program.
And carrying out assignment processing on the miscellaneous points and miscellaneous lines outside the brain in the boundary contour recognition picture to obtain an image after the miscellaneous points and miscellaneous lines are processed. And processing the miscellaneous points and the miscellaneous lines outside the brain by using the identified outermost brain contour map in the program, and uniformly assigning values to the miscellaneous points and the miscellaneous lines to obtain an image after the miscellaneous points and the miscellaneous lines are processed.
And processing the image after the miscellaneous point and miscellaneous line processing by using a Canny operator to obtain a boundary identification picture.
Step 103: and carrying out vectorization processing on the boundary identification picture to obtain a vector picture.
Step 104: and carrying out three-dimensional construction on each tissue in the vector picture to obtain a head three-dimensional model. And (4) carrying out three-dimensional construction on each tissue in the image by using AutoCAD. The drawing height of which is mainly noted is 0.1mm. The intersection set is used for processing the data to obtain the respective organization of each part. Fig. 8 shows the white matter structure of the brain after one of the images is stretched. Fig. 9 shows the cerebrospinal fluid structure of the brain after one of the images is stretched.
and stretching each tissue in the vector picture by using AutoCAD to obtain a stretched picture. The respective tissues of the image are stretched by the stretching function.
And carrying out tissue distinguishing and tissue merging on the stretched picture by using AutoCAD to obtain a classified tissue. Tissues with different electromagnetic parameters are distinguished and the same tissues are merged using AutoCAD intersection functionality.
And coloring and stacking the classified tissues to obtain a head three-dimensional model. And combining the stretched tissues according to corresponding positions and setting colors. And (4) stacking the stretched stereo of each single image by finding a base point.
Step 105: coloring the head three-dimensional model to obtain a head model; the head model is used for performing electromagnetic simulation calculation to monitor the position of a cerebral hemorrhage point.
As shown in fig. 10, the head three-dimensional model is imported into the CST Study (CST) for rendering, setting electromagnetic parameters, and the like. The parameters for each tissue introduced into the CST are shown in Table 1. As shown in fig. 2 and fig. 3, electromagnetic simulation calculation may be performed to monitor the position of a cerebral hemorrhage point, fig. 2 is a comparison of simulation signals of models with or without a hemorrhage point, fig. 2 (a) is a graph of simulation signals without a hemorrhage point, and fig. 2 (b) is a graph of simulation signals of a hemorrhage point. Fig. 3 is the difference of two signals. The images of the original image simplified by Photoshop are shown in fig. 5 and 6, fig. 5 is the original image not simplified by Photoshop, and fig. 6 is the image simplified by Photoshop. As shown in fig. 7, matlab is used to perform a miscellaneous point and miscellaneous line processing on the simplified original image and extract a tissue contour. The simplified original image provided by the invention is more beneficial to tissue differentiation.
And vectorizing the image by using CorelDRAW.
TABLE 1 parameter table for each organization imported into CST
The present invention also provides a head model construction system, including:
the acquisition module is used for acquiring an original image; the original image is a weighted nuclear magnetic resonance imaging hemorrhagic stroke image of a patient in longitudinal relaxation time.
And the miscellaneous point and miscellaneous line processing module is used for carrying out miscellaneous point and miscellaneous line processing on the original image to obtain a boundary identification picture.
And the vectorization processing module is used for carrying out vectorization processing on the boundary identification picture to obtain a vector picture.
And the three-dimensional construction module is used for carrying out three-dimensional construction on each tissue in the vector picture to obtain a head three-dimensional model.
The coloring module is used for coloring the head three-dimensional model to obtain a head model; the head model is used for performing electromagnetic simulation calculation to monitor the position of a cerebral hemorrhage point.
As an optional implementation manner, the miscellaneous point and miscellaneous line processing module specifically includes:
and the first processing unit is used for processing the original image by using a Canny operator to obtain a boundary contour identification picture.
And the assignment processing unit is used for assigning the outliers and the miscellaneous lines outside the brain in the boundary contour recognition picture to obtain the image after the outliers and miscellaneous lines are processed.
And the second processing unit is used for processing the image after the miscellaneous point and miscellaneous line processing by using a Canny operator to obtain a boundary identification picture.
As an optional implementation manner, the vectorization processing module specifically includes:
and the vectorization processing unit is used for carrying out vectorization processing on the boundary identification picture by using CorelDRAW to obtain a vector picture.
As an optional implementation manner, the three-dimensional building module specifically includes:
and the stretching unit is used for stretching each tissue in the vector picture by using AutoCAD to obtain a stretched picture.
And the tissue distinguishing and tissue merging unit is used for carrying out tissue distinguishing and tissue merging on the stretched picture by using AutoCAD to obtain a classified tissue.
And the coloring and stacking unit is used for coloring and stacking the classified tissues to obtain a head three-dimensional model.
The present invention also provides an electronic device, comprising:
one or more processors.
A storage device having one or more programs stored thereon.
The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as in any above.
The invention also provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements a method as set forth in any one of the above.
The head model constructed by the invention clearly demarcates various tissues, and is stacked and arranged according to the MRI images of the brain of a real patient, thereby laying a foundation for later electromagnetic simulation. And the three-dimensional model file format supports the import of subsequent CST software. The modeling method can use other modeling software for modeling, but the file formats of other modeling software do not support the introduction into CST and other electromagnetic simulation software, so that the modeling is stopped and no practical significance is realized.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the description of the method part.
The principle and the embodiment of the present invention are explained by applying specific examples, and the above description of the embodiments is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. A head model construction method, comprising:
acquiring an original image; the original image is a weighted nuclear magnetic resonance imaging hemorrhagic stroke image of a patient within longitudinal relaxation time;
carrying out miscellaneous point and miscellaneous line processing on the original image to obtain a boundary identification picture;
vectorizing the boundary identification picture to obtain a vector picture;
carrying out three-dimensional construction on each tissue in the vector picture to obtain a head three-dimensional model;
coloring the head three-dimensional model to obtain a head model; the head model is used for performing electromagnetic simulation calculation to monitor the position of a cerebral hemorrhage point.
2. The head model building method according to claim 1, wherein the processing of the original image with the miscellaneous points and the miscellaneous lines to obtain the boundary identification picture specifically comprises:
processing the original image by using a Canny operator to obtain a boundary contour identification picture;
assigning values to the miscellaneous points and the miscellaneous lines outside the brain in the boundary contour recognition picture to obtain an image after the miscellaneous points and the miscellaneous lines are processed;
and processing the image after the miscellaneous point and miscellaneous line processing by using a Canny operator to obtain a boundary identification picture.
3. The head model construction method according to claim 1, wherein the vectorizing processing is performed on the boundary identification picture to obtain a vector picture, and specifically includes:
and carrying out vectorization treatment on the boundary identification picture by using CorelDRAW to obtain a vector picture.
4. The head model building method according to claim 1, wherein the three-dimensional building of each tissue in the vector picture to obtain a head three-dimensional model specifically comprises:
stretching each tissue in the vector picture by using AutoCAD to obtain a stretched picture;
carrying out tissue distinguishing and tissue merging on the stretched picture by using AutoCAD to obtain a classified tissue;
and coloring and stacking the classified tissues to obtain a head three-dimensional model.
5. A head model construction system, comprising:
the acquisition module is used for acquiring an original image; the original image is a weighted nuclear magnetic resonance imaging hemorrhagic stroke image of a patient within longitudinal relaxation time;
the miscellaneous point and miscellaneous line processing module is used for carrying out miscellaneous point and miscellaneous line processing on the original image to obtain a boundary identification picture;
the vectorization processing module is used for carrying out vectorization processing on the boundary identification picture to obtain a vector picture;
the three-dimensional construction module is used for carrying out three-dimensional construction on each tissue in the vector picture to obtain a head three-dimensional model;
the coloring module is used for coloring the head three-dimensional model to obtain a head model; the head model is used for performing electromagnetic simulation calculation to monitor the position of a cerebral hemorrhage point.
6. The head model building system according to claim 5, wherein the miscellaneous point and miscellaneous line processing module specifically comprises:
the first processing unit is used for processing the original image by using a Canny operator to obtain a boundary contour identification picture;
the assignment processing unit is used for assigning the outliers and the miscellaneous lines outside the brain in the boundary contour recognition picture to obtain an image after the outliers and the miscellaneous lines are processed;
and the second processing unit is used for processing the image after the miscellaneous point and miscellaneous line processing by using a Canny operator to obtain a boundary identification picture.
7. The head model building system according to claim 5, wherein the vectorization processing module specifically includes:
and the vectorization processing unit is used for carrying out vectorization processing on the boundary identification picture by using CorelDRAW to obtain a vector picture.
8. The head model building system according to claim 5, wherein the three-dimensional building module specifically comprises:
the stretching unit is used for stretching each tissue in the vector picture by using AutoCAD to obtain a stretched picture;
the tissue distinguishing and combining unit is used for carrying out tissue distinguishing and tissue combining on the stretched picture by using AutoCAD to obtain a classified tissue;
and the coloring and stacking unit is used for coloring and stacking the classified tissues to obtain the head three-dimensional model.
9. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-4.
10. A storage medium, having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the method of any one of claims 1 to 4.
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