CN115691748A - High-frequency bipolar tumor treatment system - Google Patents

High-frequency bipolar tumor treatment system Download PDF

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CN115691748A
CN115691748A CN202211502984.4A CN202211502984A CN115691748A CN 115691748 A CN115691748 A CN 115691748A CN 202211502984 A CN202211502984 A CN 202211502984A CN 115691748 A CN115691748 A CN 115691748A
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张建浩
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Tianjin Intelligent Health Co ltd
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Abstract

The invention provides a high-frequency bipolar tumor treatment system which comprises a data acquisition module, a data calculation module, a treatment analysis module, a control treatment module, a server and a database, wherein the data acquisition module acquires image information and distance information of a tumor and acquires data parameters of the image information and the distance information; transmitting the data parameters to a data calculation module, wherein the data calculation module acquires tumor perimeter reference values based on the data parameter pairs; transmitting the tumor perimeter reference value to a treatment analysis module; the treatment analysis module carries out treatment analysis based on the tumor perimeter reference value; the server acquires the analysis result of the treatment analysis module, acquires the tumor treatment steps stored in the database, and the database transmits the treatment steps to the control treatment module for treating the tumor.

Description

High-frequency bipolar tumor treatment system
Technical Field
The invention relates to the technical field of tumor treatment, in particular to a high-frequency bipolar tumor treatment system.
Background
Tumor (tumor) refers to a new organism (neoglowth) formed by local tissue cell proliferation of the body under the action of various tumorigenic factors, because the new organism mostly presents space-occupying block-shaped protrusions, also called neoplasms (neoplasms). Liver cancer and pancreatic cancer are both called "king of cancer", and are tumors of extremely high malignancy. Tumor cells can exhibit metabolic changes that differ from normal cells, while the tumor cells themselves can adapt to changes in the metabolic environment by switching between glycolysis and oxidative phosphorylation (OXPHOS).
In the prior art, the shape and the size of a tumor are difficult to obtain in the process of high-frequency bipolar treatment of the tumor, the treatment time and the treatment method are different when the tumors with different sizes are treated, and the tumor treatment effect is influenced by the tumor size in the treatment process, so the invention provides the high-frequency bipolar tumor treatment system.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a high-frequency bipolar tumor treatment system, which is based on the acquisition of tumor image information, acquires the perimeter of the image information, measures and acquires the longest distance on a tumor, expands the image acquired according to the tumor size and the image information in a direct ratio, further acquires the perimeter of the tumor, evaluates the shape of the tumor, acquires a tumor treatment scheme and realizes the treatment effect on the tumor.
In order to realize the purpose, the invention is realized by the following technical scheme: a high-frequency bipolar tumor treatment system comprises a data acquisition module, a data calculation module, a treatment analysis module, a control treatment module, a server and a database; the data acquisition module, the data calculation module, the treatment analysis module, the treatment control module and the database are respectively in data connection with the server;
the data acquisition module acquires image information and distance information of the tumor and acquires data parameters of the image information and the distance information; transmitting the data parameters to a data calculation module, wherein the data calculation module acquires tumor perimeter reference values based on the data parameter pairs; delivering the tumor perimeter reference value to a treatment analysis module; the treatment analysis module performs treatment analysis based on the tumor perimeter reference value; the server acquires the analysis result of the treatment analysis module and acquires the treatment steps of tumors with different sizes stored in the database, and the database transmits the treatment steps to the control treatment module to treat the tumors.
Further, the image information comprises an imaging distance value and imaging perimeter information; the distance information comprises first distance information, second distance information and third distance information;
when measurement is carried out, a measuring point is arranged on one side of a tumor, the distance between the measuring point and the middle point of the tumor is set as first distance information, the maximum inner diameter of two ends on the tumor is observed through image information, the inner diameter distance is measured to obtain inner diameter information, the inner diameter information is obtained to obtain an imaging distance value, two end points of the tumor are selected to be a second measuring point and a third measuring point respectively, the distance between the measuring point and the second measuring point and the distance between the measuring point and the third measuring point are measured to obtain second distance information and third distance information; and acquiring an included angle between the first distance information and the second distance information, defining the included angle as first included angle information, and acquiring an included angle between the first distance information and the third distance information, defining the included angle as second included angle information.
Further, defining the first distance information, the second distance information, the third distance information, the inner diameter information, the second included angle information, the first included angle information and the imaging perimeter information as data information, acquiring parameters in the data information to obtain data parameters, and transmitting the data parameters to a data calculation module;
acquiring parameters of first distance information, second distance information, third distance information, inner diameter information, second included angle information, first included angle information and imaging perimeter information in tumor measurement, and obtaining a first distance value according to the first distance information; obtaining a second distance value from the second distance information; obtaining a third distance value from the third distance information; obtaining an imaging distance value according to the inner diameter information; obtaining a first included angle value according to the first included angle information; obtaining a second included angle value according to the second included angle information; and obtaining the imaging perimeter value according to the imaging perimeter information.
Further, the data calculation module receives a first distance value, a second distance value, a third distance value, an imaging distance value, a first included angle value, a second included angle value and an imaging perimeter value;
setting the first distance value as: DYJUz; the second distance value is: DEJUz; the third distance value is: DSJUz; the imaging distance values are: CXJLz; the first included angle has the following numerical value: DYJJJSz; the second included angle has the following numerical value: DEJJSz; the imaging perimeter values are: CXZCSz;
form triangle-shaped by first distance value, the connection of second distance value, acquire first contained angle numerical value according to first distance value, second distance value, acquire first radius value according to first contained angle numerical value and first distance value, set for first radius value and do: DYBJz; solving a first radius value; obtaining a first radius value from the triangle trigonometric function, specifically referring to the following formula:
Figure 219283DEST_PATH_IMAGE001
(ii) a Thus obtaining the numerical value of DYJJJSz;
by passing
Figure 380616DEST_PATH_IMAGE002
(ii) a Obtaining the size of the first radius value;
form triangle-shaped by first distance value, third distance value connection, acquire second contained angle numerical value according to first distance value, third distance value, acquire second radius value according to second contained angle numerical value and first distance value, set for the second radius value and be: DEBJz; solving the second radius value; obtaining a second radius value from the triangular trigonometric function, specifically referring to the following formula:
Figure 796685DEST_PATH_IMAGE003
(ii) a Thereby obtaining the numerical value of DEJJSz;
by passing
Figure 79637DEST_PATH_IMAGE004
(ii) a Obtaining the size of a second radius value; obtaining the size of a second radius value;
the distance between the two tumor endpoints is the sum of the first radius value and the second radius value, and the distance between the two tumor endpoints is set as follows: zldi jlzz; zldi jlllz = DYBJz + DEBJz; and (5) calculating the distance value between two end points of the tumor.
Further, obtaining a tumor perimeter reference value through a distance value between the two end points, an imaging distance value and an imaging perimeter value;
according to the fact that the tumor size is reduced in proportion to the tumor size on the image, the ratio between the distance value between the two end points and the imaging distance value is the same as the ratio between the tumor perimeter reference value and the imaging perimeter value; the tumor perimeter reference value is the tumor perimeter.
Further, the treatment analysis module receives the tumor perimeter reference value, analyzes the size of the tumor, observes the shape of the tumor through image information, and obtains the overall shape of the tumor by combining the tumor perimeter reference value; the analyzed shape structure is transmitted to the control therapy module through the server.
Further, the control treatment module acquires the treatment steps of the current tumor shape through the database, and controls the tumor treatment instrument to carry out high-frequency bipolar tumor treatment based on the treatment steps.
The invention has the beneficial effects that:
1. the invention acquires the perimeter of the image information based on the acquisition of the tumor image information, measures and acquires the longest distance on the tumor, expands the perimeter of the tumor in proportion to the image acquired by the image information according to the size of the tumor, evaluates the shape of the tumor, acquires the treatment scheme of the tumor and realizes the treatment effect on the tumor.
2. According to the invention, the measuring point is arranged at one end of the tumor, the distance between the tumor and the measuring point is measured, so that a triangle is formed between the tumor and the measuring point, the other side of the triangle is the radius of the interior of the tumor, and the acquisition of the included angle of the two sides is realized by acquiring the two side lines of the triangle, so that the radius of the interior of the tumor is acquired.
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Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic block diagram of a high frequency bipolar tumor treatment system according to the present invention;
FIG. 2 is a method step diagram of a high frequency bipolar tumor therapy system according to the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
In the present invention, please refer to fig. 1 and fig. 2, a high-frequency bipolar tumor therapy system includes a data acquisition module, a data calculation module, a therapy analysis module, a therapy control module, a server and a database, wherein the data acquisition module, the data calculation module, the therapy analysis module, the therapy control module and the database are respectively connected to the server;
the data acquisition module acquires image information and distance information of the tumor and acquires data parameters of the image information and the distance information;
it should be noted that: the image information comprises imaging distance numerical values and imaging perimeter information; the distance information comprises first distance information, second distance information and third distance information;
when measurement is carried out, a measuring point is arranged on one side of a tumor, the distance between the measuring point and the middle point of the tumor is set as first distance information, the maximum inner diameter of two ends on the tumor is observed through image information, the inner diameter distance is measured to obtain inner diameter information, the inner diameter information is obtained to obtain an imaging distance value, two end points of the tumor are selected to be a second measuring point and a third measuring point respectively, the distance between the measuring point and the second measuring point and the distance between the measuring point and the third measuring point are measured to obtain second distance information and third distance information; acquiring an included angle between the first distance information and the second distance information, defining the included angle as first included angle information, and acquiring an included angle between the first distance information and the third distance information, defining the included angle as second included angle information;
defining the first distance information, the second distance information, the third distance information, the inner diameter information, the second included angle information, the first included angle information and the imaging perimeter information as data information, acquiring parameters in the data information to obtain data parameters, and transmitting the data parameters to a data calculation module;
acquiring parameters of first distance information, second distance information, third distance information, inner diameter information, second included angle information, first included angle information and imaging perimeter information in tumor measurement, and obtaining a first distance value according to the first distance information; obtaining a second distance value from the second distance information; obtaining a third distance value from the third distance information; obtaining an imaging distance value according to the inner diameter information; obtaining a first included angle value according to the first included angle information; obtaining a second included angle value according to the second included angle information; obtaining an imaging perimeter value according to the imaging perimeter information;
setting the first distance value as: DYJUz; the second distance value is: DEJUz; the third distance value is: DSJUz; the imaging distance values are: CXJLz; the first included angle has the following numerical value: DYJJJSz; the second included angle has the following numerical values: DEJJSz; the imaging perimeter values are: CXZCSz;
the data parameters are transmitted to a data calculation module, and the data calculation module acquires tumor perimeter reference values based on the data parameter pairs;
the data calculation module receives a first distance value, a second distance value, a third distance value, an imaging distance value, a first included angle value, a second included angle value and an imaging perimeter value;
form triangle-shaped by first distance value, the connection of second distance value, acquire first contained angle numerical value according to first distance value, second distance value, acquire first radius value according to first contained angle numerical value and first distance value, set for first radius value and do: DYBJz; solving a first radius value; obtaining a first radius value from the triangular trigonometric function, specifically referring to the following formula:
Figure 759011DEST_PATH_IMAGE001
(ii) a Thus obtaining the numerical value of DYJJJJSz;
by passing
Figure 395922DEST_PATH_IMAGE002
(ii) a Obtaining the size of the first radius value;
form triangle-shaped by first distance value, third distance value connection, acquire second contained angle numerical value according to first distance value, third distance value, acquire the second radius value according to second contained angle numerical value and first distance value, set for the second radius value and do: DEBJz; solving the second radius value; obtaining a second radius value from the triangular trigonometric function, specifically referring to the following formula:
Figure 146840DEST_PATH_IMAGE003
(ii) a Thereby obtaining the numerical value of DEJJSz;
by passing
Figure 51342DEST_PATH_IMAGE004
(ii) a Obtaining the size of a second radius value;
the distance between the two tumor endpoints is the sum of the first radius value and the second radius value, and the distance value between the two tumor endpoints is set as follows: zldi jlzz; zldi jllzz = DYBJz + DEBJz;
obtaining a tumor perimeter reference value through the distance value between the two end points, the imaging distance value and the imaging perimeter value;
according to the fact that the tumor size is reduced in proportion to the tumor size on the image, the ratio between the distance value between the two end points and the imaging distance value is the same as the ratio between the tumor circumference reference value and the imaging circumference value; the tumor perimeter reference value is the tumor perimeter; setting a tumor perimeter reference value as ZLZCKz; the reference value of tumor perimeter is obtained according to the following formula:
Figure DEST_PATH_IMAGE005
delivering the tumor perimeter reference value to a treatment analysis module;
the treatment analysis module carries out treatment analysis based on the tumor perimeter reference value;
the treatment analysis module receives the tumor perimeter reference value, analyzes the size of the tumor, observes the shape of the tumor through image information and obtains the whole shape of the tumor by combining the tumor perimeter reference value; the analyzed shape structure is transmitted to a control treatment module through a server;
the server acquires the analysis result of the treatment analysis module and acquires the treatment steps of tumors with different sizes stored in the sub database, and the database transmits the treatment steps to the control treatment module to treat the tumors;
the control treatment module acquires the treatment steps of the current tumor shape through the database, and controls the tumor treatment instrument to carry out high-frequency bipolar tumor treatment based on the treatment steps.
The invention relates to a high-frequency bipolar tumor treatment system, which specifically comprises the following steps of:
step S1: the server controls the data acquisition module to acquire image information and distance information of the tumor and acquires data parameters of the image information and the distance information;
the image information comprises imaging distance numerical values and imaging perimeter information; the distance information comprises first distance information, second distance information and third distance information;
when the image information and the distance information data are acquired, the method comprises the following specific steps:
step S11: observing the maximum inner diameters of the two ends of the tumor through image information, measuring the inner diameter distance to obtain inner diameter information, and acquiring the inner diameter information to obtain an imaging distance value;
step S12: when measuring, setting a measuring point at one side of a tumor, setting the distance between the measuring point and the middle point of the tumor as first distance information, selecting two end points of the tumor as a second measuring point and a third measuring point respectively, and measuring the distance between the measuring point and the second measuring point and the distance between the measuring point and the third measuring point to obtain second distance information and third distance information;
step S13: acquiring an included angle between the first distance information and the second distance information, defining the included angle as first included angle information, and acquiring an included angle between the first distance information and the third distance information, defining the included angle as second included angle information;
step S14: defining the first distance information, the second distance information, the third distance information, the inner diameter information, the second included angle information, the first included angle information and the imaging perimeter information as data information, acquiring parameters in the data information to obtain data parameters, and transmitting the data parameters to a data calculation module;
step S2: the data parameters are transmitted to a data calculation module, and the data calculation module acquires tumor perimeter reference values based on the data parameter pairs;
when the tumor perimeter reference value is obtained, the specific steps are as follows:
step S21: acquiring parameters of first distance information, second distance information, third distance information, inner diameter information, second included angle information, first included angle information and imaging perimeter information in tumor measurement, and obtaining a first distance value according to the first distance information; obtaining a second distance value from the second distance information; obtaining a third distance value from the third distance information; obtaining an imaging distance value according to the inner diameter information; obtaining a first included angle value according to the first included angle information; obtaining a second included angle value according to the second included angle information; obtaining an imaging perimeter value according to the imaging perimeter information;
step S22: setting the first distance value as: DYJUz; the second distance value is: DEJUz; the third distance value is: DSJUz; the imaging distance values are: CXJLz; the first included angle has the following numerical value: DYJJJSz; the second included angle has the following numerical value: DEJJSz; the imaging perimeter values are: CXZCSz;
step S23: the data calculation module receives a first distance value, a second distance value, a third distance value, an imaging distance value, a first included angle value, a second included angle value and an imaging perimeter value;
connecting the first distance value and the second distance value to form a triangle, acquiring a first included angle numerical value according to the first distance value and the second distance value, and acquiring a first radius value according to the first included angle numerical value and the first distance value; connecting the first distance value and the third distance value to form a triangle, acquiring a second included angle numerical value according to the first distance value and the third distance value, and acquiring a second radius value according to the second included angle numerical value and the first distance value;
step S24: the distance between the two tumor end points is the sum of the first radius value and the second radius value, and the distance value between the two tumor end points is obtained; obtaining a tumor perimeter reference value according to the distance value between the two end points, the imaging distance value and the imaging perimeter value;
and step S3: transmitting the tumor perimeter reference value to a treatment analysis module, and performing treatment analysis by the treatment analysis module based on the tumor perimeter reference value; observing the shape of the tumor through image information, and obtaining the overall shape of the tumor by combining with a tumor perimeter reference value; the analyzed shape structure is transmitted to a control treatment module through a server;
and step S4: the server acquires the analysis result of the treatment analysis module and acquires the treatment steps of tumors with different sizes stored in the sub database, and the database transmits the treatment steps to the control treatment module to treat the tumors.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the embodiments of the present invention, and they should be construed as being included therein. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (7)

1. A high-frequency bipolar tumor treatment system is characterized by comprising a data acquisition module, a data calculation module, a treatment analysis module, a control treatment module, a server and a database; the data acquisition module, the data calculation module, the treatment analysis module, the treatment control module and the database are respectively in data connection with the server;
the data acquisition module acquires image information and distance information of a tumor and acquires data parameters of the image information and the distance information; transmitting the data parameters to a data calculation module, wherein the data calculation module acquires tumor perimeter reference values based on the data parameter pairs; transmitting the tumor perimeter reference value to a treatment analysis module; the treatment analysis module performs treatment analysis based on the tumor perimeter reference value; the server acquires the analysis result of the treatment analysis module and acquires the treatment steps of tumors with different sizes stored in the database, and the database transmits the treatment steps to the control treatment module to treat the tumors.
2. A high frequency bipolar oncology therapy system according to claim 1, wherein the image information comprises imaging distance values and imaging perimeter information; the distance information comprises first distance information, second distance information and third distance information;
when measurement is carried out, a measuring point is arranged on one side of a tumor, the distance between the measuring point and the middle point of the tumor is set as first distance information, the maximum inner diameter of two ends on the tumor is observed through image information, the inner diameter distance is measured to obtain inner diameter information, the inner diameter information is obtained to obtain an imaging distance value, two end points of the tumor are selected to be a second measuring point and a third measuring point respectively, the distance between the measuring point and the second measuring point and the distance between the measuring point and the third measuring point are measured to obtain second distance information and third distance information; and acquiring an included angle between the first distance information and the second distance information, defining the included angle as first included angle information, and acquiring an included angle between the first distance information and the third distance information, defining the included angle as second included angle information.
3. The high-frequency bipolar tumor therapy system according to claim 2, wherein the first distance information, the second distance information, the third distance information, the inner diameter information, the second angle information, the first angle information and the imaging perimeter information are defined as data information, parameters in the data information are obtained to obtain data parameters, and the data parameters are transmitted to the data calculation module;
acquiring parameters of first distance information, second distance information, third distance information, inner diameter information, second included angle information, first included angle information and imaging perimeter information in tumor measurement, and obtaining a first distance value according to the first distance information; obtaining a second distance value from the second distance information; obtaining a third distance value from the third distance information; obtaining an imaging distance value according to the inner diameter information; obtaining a first included angle value according to the first included angle information; obtaining a second included angle value according to the second included angle information; and obtaining the imaging perimeter value according to the imaging perimeter information.
4. The system of claim 3, wherein the data computation module receives a first distance value, a second distance value, a third distance value, an imaging distance value, a first angle value, a second angle value, and an imaging perimeter value;
setting the first distance value as: DYJUz; the second distance value is: DEJUz; the third distance value is: DSJUz; the imaging distance values are: CXJLz; the first included angle has the following numerical values: DYJJJSz; the second included angle has the following numerical value: DEJJSz; the imaging perimeter values are: CXZCSz;
form triangle-shaped by first distance value, the connection of second distance value, acquire first contained angle numerical value according to first distance value, second distance value, acquire first radius value according to first contained angle numerical value and first distance value, set for first radius value and do: DYBJz; solving the first radius value; obtaining a first radius value from the triangular trigonometric function, specifically referring to the following formula:
Figure DEST_PATH_IMAGE001
(ii) a Thus obtaining the numerical value of DYJJJSz;
by passing
Figure 173722DEST_PATH_IMAGE002
Obtaining the size of the first radius value;
form triangle-shaped by first distance value, third distance value connection, acquire second contained angle numerical value according to first distance value, third distance value, acquire the second radius value according to second contained angle numerical value and first distance value, set for the second radius value and do: DEBJz; solving the second radius value; obtaining a second radius value from the triangular trigonometric function, specifically referring to the following formula:
Figure DEST_PATH_IMAGE003
(ii) a Thus obtaining the numerical value of DEJJSz;
by passing
Figure 11621DEST_PATH_IMAGE004
(ii) a Obtaining the size of a second radius value;
obtaining the size of the second radius value;
the distance between the two tumor endpoints is the sum of the first radius value and the second radius value, and the distance value between the two tumor endpoints is set as follows: ZLDIJLz; zldi jlllz = DYBJz + DEBJz; and (4) solving a distance value between two end points of the tumor.
5. The system according to claim 4, wherein the tumor perimeter reference value is obtained from the distance between the two end points, the imaging distance value and the imaging perimeter value;
according to the fact that the tumor size is reduced in proportion to the tumor size on the image, the ratio between the distance value between the two end points and the imaging distance value is the same as the ratio between the tumor circumference reference value and the imaging circumference value; the tumor perimeter reference value is the tumor perimeter.
6. The system according to claim 1, wherein the treatment analysis module receives the tumor perimeter reference value, analyzes the size of the tumor, observes the shape of the tumor through image information, and obtains the overall shape of the tumor by combining the tumor perimeter reference value; the analyzed shape structure is transmitted to the control therapy module through the server.
7. The high-frequency bipolar tumor therapy system according to claim 1, wherein said control therapy module obtains the therapy steps of the current tumor shape from the database, and controls the tumor therapy device to perform high-frequency bipolar tumor therapy based on the therapy steps.
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Citations (5)

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CN114596461A (en) * 2022-02-07 2022-06-07 杭州翔毅科技有限公司 Tumor medication scheme generation method, device, equipment and storage medium
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Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050041843A1 (en) * 2003-08-05 2005-02-24 Sawyer Timothy E. Dynamic tumor treatment system
CN108053869A (en) * 2017-10-10 2018-05-18 中山大学肿瘤防治中心 A kind of tumor patient radiotherapy management of process and method of quality control and system
CN111178449A (en) * 2019-12-31 2020-05-19 浙江大学 Liver cancer image classification method and device combining computer vision characteristics and imaging omics characteristics
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