CN114848133B - Tumor cell ablation system based on image visualization - Google Patents
Tumor cell ablation system based on image visualization Download PDFInfo
- Publication number
- CN114848133B CN114848133B CN202210423814.0A CN202210423814A CN114848133B CN 114848133 B CN114848133 B CN 114848133B CN 202210423814 A CN202210423814 A CN 202210423814A CN 114848133 B CN114848133 B CN 114848133B
- Authority
- CN
- China
- Prior art keywords
- ablation
- cell
- detection
- image
- cells
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B18/00—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
- A61B18/04—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by heating
- A61B18/12—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by heating by passing a current through the tissue to be heated, e.g. high-frequency current
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B18/00—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
- A61B18/04—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by heating
- A61B18/12—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body by heating by passing a current through the tissue to be heated, e.g. high-frequency current
- A61B18/1206—Generators therefor
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B90/00—Instruments, implements or accessories specially adapted for surgery or diagnosis and not covered by any of the groups A61B1/00 - A61B50/00, e.g. for luxation treatment or for protecting wound edges
- A61B90/36—Image-producing devices or illumination devices not otherwise provided for
- A61B90/361—Image-producing devices, e.g. surgical cameras
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B18/00—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
- A61B2018/00571—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body for achieving a particular surgical effect
- A61B2018/00577—Ablation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B18/00—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body
- A61B2018/00982—Surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body combined with or comprising means for visual or photographic inspections inside the body, e.g. endoscopes
Abstract
The invention provides a tumor cell ablation system based on image visualization, which comprises an ablation module, an image acquisition module and an ablation acquisition module, wherein the ablation module comprises a pulse generation unit and an adjustment unit, the adjustment unit is electrically connected with the pulse generation unit, the ablation acquisition module is used for acquiring ablation parameters in an ablation process, the adjustment unit is used for adjusting operation parameters of the pulse generation unit based on the ablation parameters acquired by the ablation acquisition module, and the pulse generation unit is used for generating pulses to ablate tumor cells.
Description
Technical Field
The invention relates to the technical field of cell ablation, in particular to a tumor cell ablation system based on image visualization.
Background
The therapeutic application of pulsed electric fields is also becoming more widespread in the medical field at present, in particular in the application of ablation perforation of cells. Irreversible electroporation is an emerging non-thermal ablation technique for the treatment of tumors. The micro-second level high-voltage electric pulse is applied to enable the cell membrane of the affected cell to form a nano-scale pore, so that the permeability of the cell membrane is changed, the internal balance of the cell is destroyed, and further the cell apoptosis is caused.
In the prior art, in the process of tumor cell ablation, the originally set ablation parameters are usually adopted to perform cell ablation in the prior treatment technology, but the ablation mode hardly meets the ablation requirements of different tumors, and the ablation condition of the cells is hardly acquired in the prior tumor cell ablation process, so that the ablation parameters are hardly set according to the specific ablation effect of the cells, and the ablation effect is not good enough.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a tumor cell ablation system based on image visualization, which can obtain the ablation effect of cells based on microscopic images of the cells, thereby providing an ablation parameter basis for cell ablation and solving the problems of single ablation mode and poor ablation effect of the existing tumor cells.
In order to achieve the purpose, the invention is realized by the following technical scheme: a tumor cell ablation system based on image visualization comprises an ablation module, an image acquisition module and an ablation acquisition module;
the ablation module comprises a pulse generation unit and an adjustment unit, the adjustment unit is electrically connected with the pulse generation unit, the ablation acquisition module is used for acquiring ablation parameters in an ablation process, the adjustment unit is used for adjusting operation parameters of the pulse generation unit based on the ablation parameters acquired by the ablation acquisition module, and the pulse generation unit is used for generating pulses to ablate tumor cells;
the image acquisition module comprises a microscopic image acquisition unit and an image comparison unit, the microscopic image acquisition unit is used for acquiring cell images of an area to be ablated, and the image comparison unit is used for comparing cell image images before and after ablation and obtaining an ablation result.
Further, the microscopic image obtaining unit is configured with an ablation image pre-obtaining strategy, the ablation image pre-obtaining strategy is used for pre-obtaining a cell image of a region to be ablated, and the ablation image pre-obtaining strategy includes: dividing the area to be ablated into a plurality of interference detection areas, then selecting the pre-detection areas with a first pre-detection number, selecting the pre-detection cell number of each pre-detection area according to the first pre-detection number, and then acquiring the image of the pre-detection cells in each pre-detection area;
the number of micropores and the average pore diameter of the micropores of the image of each cell to be detected are obtained, the number of micropores and the average pore diameter of the micropores of each cell are substituted into a cell pre-detection formula to obtain a cell pre-detection reference value, and the cell pre-detection reference values of a plurality of cells to be detected in all pre-detection areas are substituted into an ablation area pre-detection formula to obtain an ablation area pre-detection reference value.
Further, the cell preview formula is configured to:
(ii) a The ablation region preview formula is configured to:
(ii) a Wherein, xyjc is a cell pre-detection reference value, syw is the micropore number of the pre-detected cell, sy1 is a micropore number balance value of the pre-detected cell, ryw is the micropore average pore diameter of the pre-detected cell, rw1 is the micropore average pore diameter balance value of the pre-detected cell, qyjc is an ablation region pre-detection reference value, xyjc1 to Xyjci are cell pre-detection reference values of a plurality of pre-detected cells in all pre-detection regions respectively, and i is the number of the plurality of pre-detected cells in all pre-detection regions.
Further, the adjusting unit is configured with an adjusting policy, which includes: substituting the ablation region pre-detection reference value in the ablation image pre-acquisition strategy into a pulse field intensity preset formula to obtain a pulse preset field intensity; substituting the ablation region pre-detection reference value in the ablation image pre-acquisition strategy into a pulse width preset formula to obtain a pulse preset width;
and setting preset parameters of the pulse generating unit according to the pulse preset field intensity and the pulse preset width.
Further, the pulse field strength preset formula is configured as follows:
(ii) a The pulse width preset formula is configured as follows:
(ii) a Mqy is pulse preset field intensity, mq1 is a pulse field intensity conversion coefficient, mky is pulse preset width, and mk1 is a pulse width conversion coefficient.
Further, the image comparison unit is configured with an image comparison policy, and the image comparison policy includes: acquiring an image of a region to be ablated once every first ablation time, randomly selecting a plurality of detection regions in the region to be ablated, setting cells in the detection regions as ablated cells, acquiring the number of micropores and the average pore diameter of the micropores of the ablated cells, and substituting the number of micropores and the average pore diameter of the micropores of the ablated cells into an ablated cell parameter formula to obtain an ablated cell reference value;
substituting the ablation cell reference values of a plurality of ablation cells in all the detection areas into an ablation area comparison formula to obtain an ablation area reference value;
subtracting the ablation area pre-detection reference value from the ablation area ablation reference value to obtain an ablation comparison reference value;
when the ablation comparison reference value is less than or equal to the first comparison threshold value, outputting a primary ablation change signal; when the ablation comparison reference value is greater than the first comparison threshold and less than or equal to the second comparison threshold, outputting a secondary ablation change signal; and when the ablation comparison reference value is larger than the second comparison threshold value, outputting a three-level ablation change signal.
Further, the ablated cell parameter formula is configured to:
(ii) a The ablation zone comparison formula is configured to:
(ii) a Wherein, xxjc is a reference value of the ablated cells, sxw is the number of micropores of the ablated cells, sx1 is a balance value of the number of micropores of the ablated cells, rxw is the average pore diameter of the micropores of the ablated cells, rx1 is the balance value of the average pore diameter of the micropores of the ablated cells, qxjc is the ablation reference value of the ablated regions, xxjc1 to Xxjcj are reference values of the ablated cells of a plurality of ablated cells in all the detection regions, and j is the number of a plurality of ablated cells in all the detection regions.
Further, the image matching unit is further configured with a transverse matching strategy, and the transverse matching strategy includes: substituting the ablation reference values of the ablation regions of the continuous first transverse comparison number into a transverse ablation comparison formula to obtain a transverse ablation change value;
when the transverse ablation variation value is smaller than or equal to a first transverse variation threshold value, outputting a primary transverse variation signal; when the transverse ablation variation value is larger than a first transverse variation threshold value and smaller than or equal to a second transverse variation threshold value, outputting a secondary transverse variation signal; and when the transverse ablation change value is larger than a second transverse change threshold value, outputting a three-level transverse change signal.
Further, the transverse ablation alignment formula is configured to:
The invention has the beneficial effects that: according to the invention, the ablation parameters of the ablation process can be acquired through the ablation acquisition module, the operation parameters of the pulse generation unit can be adjusted through the adjustment unit based on the ablation parameters acquired by the ablation acquisition module, and then the pulse generation unit can generate pulses to ablate tumor cells, wherein before and during the ablation process, the cell images of a region to be ablated can be acquired through the microscopic image acquisition unit in the image acquisition module, then the cell image images before and after ablation can be compared through the image comparison unit, and an ablation result is obtained.
Drawings
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 functional block diagram of the present invention;
FIG. 2 is a graph showing the change before and after cell membrane ablation.
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.
Referring to fig. 1, a tumor cell ablation system based on image visualization includes an ablation module, an image acquisition module, and an ablation acquisition module; in the prior art, the commonly used pulse cell ablation technology is microsecond high-voltage electric pulse, so that nanoscale pores are formed on cell membranes of affected cells, and the permeability of the cell membranes is changed.
The state of the cells can be detected in the front, middle and rear stages of cell ablation by adding the image acquisition module, so that the ablation state of the cells can be conveniently acquired, ablation parameters are set through the ablation state, and the ablation effect is favorably improved. The ablation module comprises a pulse generation unit and an adjustment unit, the adjustment unit is electrically connected with the pulse generation unit, the ablation acquisition module is used for acquiring ablation parameters of an ablation process, the adjustment unit is used for adjusting operation parameters of the pulse generation unit based on the ablation parameters acquired by the ablation acquisition module, the adjustment unit is configured with an adjustment strategy, and the adjustment strategy comprises: substituting the ablation region pre-detection reference value in the ablation image pre-acquisition strategy into a pulse field intensity preset formula to obtain a pulse preset field intensity; substituting the ablation region pre-detection reference value in the ablation image pre-acquisition strategy into a pulse width preset formula to obtain a pulse preset width; and setting preset parameters of the pulse generating unit according to the pulse preset field intensity and the pulse preset width.
The pulse field strength preset formula is configured as follows:
(ii) a The pulse width preset formula is configured as follows:
(ii) a Mqy is a pulse preset field intensity, mq1 is a pulse field intensity conversion coefficient, the pulse field intensity conversion coefficient is adjusted according to the existing pulse ablation parameter standard, mky is a pulse preset width, mk1 is a pulse width conversion coefficient, and the pulse width conversion coefficient is adjusted according to the existing pulse ablation parameter standard, so that the difference between the actual ablation parameter and the existing mature ablation parameter is not too large, the ablation pertinence is improved, and the ablation stability is ensured. The tumor cells can be ablated by generating pulses through the pulse generating unit.
The image acquisition module comprises a microscopic image acquisition unit and an image comparison unit, wherein the microscopic image acquisition unit is used for acquiring cell images of an area to be ablated, the microscopic image acquisition unit is configured with an ablation image pre-acquisition strategy, the ablation image pre-acquisition strategy is used for pre-acquiring cell images of the area to be ablated, and the ablation image pre-acquisition strategy comprises: dividing the area to be ablated into a plurality of intervening detection areas, in the specific random selection process, firstly setting a circle with a fixed specification as a framing area, framing three areas in the ablation area by using the framing area, and optimally selecting less than ten cells in the framing area. Then, selecting a first pre-detection number of pre-detection areas, selecting the number of pre-detection cells in each pre-detection area according to the first pre-detection number, and then obtaining the image of the pre-detection cells in each pre-detection area; the number of micropores and the average pore diameter of the micropores of the image of each cell to be detected are obtained, the number of micropores and the average pore diameter of the micropores of each cell are substituted into a cell pre-detection formula to obtain a cell pre-detection reference value, and the cell pre-detection reference values of a plurality of cells to be detected in all pre-detection areas are substituted into an ablation area pre-detection formula to obtain an ablation area pre-detection reference value. Wherein the number of micropores and the average pore size of micropores of the cells involved are the number of micropores and the average pore size of micropores of the cell membrane.
The cell preview formula is configured to:
(ii) a The ablation region preview formula is configured to:
(ii) a Where Xyjc is a cell pre-detection reference value, syw is a number of micropores of a pre-detected cell, sy1 is a number balance value of micropores of the pre-detected cell, where the number balance value of micropores of the pre-detected cell is used to perform balance transformation on the number of micropores of the cell, and is convenient to correspond to the average pore diameter of micropores, ryw is the average pore diameter of micropores of the pre-detected cell, rw1 is the average pore diameter balance value of micropores of the pre-detected cell, the average pore diameter balance value of micropores of the pre-detected cell is used to balance the average pore diameter of micropores of the pre-detected cell, and is convenient to correspond to the number of micropores of the pre-detected cell, qyjc is an ablation region pre-detection reference value, xyjc1 to Xyjci are cell pre-detection reference values of a plurality of pre-detected cells in all pre-detected regions, respectively, and i is the number of the pre-detected cells in all pre-detected regions.
The phospholipid molecules can move under the action of the cell membrane in a power plant, and as shown in fig. 2, the image comparison unit is used for comparing cell image images before and after ablation and obtaining an ablation result. The image comparison unit is configured with an image comparison strategy, and the image comparison strategy comprises: acquiring an image of a region to be ablated once every first ablation time, randomly selecting a plurality of detection regions in the region to be ablated, setting cells in the detection regions as ablation cells, acquiring the number of micropores and the average pore diameter of the micropores of the ablation cells, and substituting the number of micropores and the average pore diameter of the micropores of the ablation cells into an ablation cell parameter formula to obtain an ablation cell reference value; substituting the ablation cell reference values of a plurality of ablation cells in all the detection areas into an ablation area comparison formula to obtain an ablation area reference value; subtracting the ablation area pre-detection reference value from the ablation area ablation reference value to obtain an ablation comparison reference value; when the ablation comparison reference value is less than or equal to the first comparison threshold value, outputting a primary ablation change signal; when the ablation comparison reference value is greater than the first comparison threshold value and less than or equal to the second comparison threshold value, outputting a secondary ablation change signal; and when the ablation comparison reference value is larger than the second comparison threshold value, outputting a three-level ablation change signal. The ablation effect of the first-level ablation change signal is smaller than that of the second-level ablation change signal, and the ablation effect of the second-level ablation change signal is smaller than that of the third-level ablation change signal.
The ablation cell parameter formula is configured to:
(ii) a The ablation zone comparison formula is configured to:
(ii) a Wherein, xjc is a reference value of ablated cells, sxw is the number of micropores of ablated cells, sx1 is a balance value of the number of micropores of ablated cells, the balance value of the number of micropores of ablated cells is used for balancing the number of micropores of ablated cells so as to correspond to the average pore diameter of micropores of ablated cells, rxw is the average pore diameter of micropores of ablated cells, rx1 is the balance value of the average pore diameter of micropores of ablated cells, the balance value of the average pore diameter of micropores of ablated cells is used for balancing the average pore diameter of micropores of ablated cells so as to correspond to the number of micropores of ablated cells, qxjc is the reference value of ablated regions, xjc1 to xjcj are reference values of ablated cells of a plurality of ablated cells in all detection regions, and j is the number of a plurality of ablated cells in all detection regions.
The image comparison unit is also configured with a transverse comparison strategy, and the transverse comparison strategy comprises: substituting the ablation reference values of the ablation regions of the continuous first transverse comparison number into a transverse ablation comparison formula to obtain a transverse ablation change value; when the transverse ablation variation value is smaller than or equal to a first transverse variation threshold value, outputting a primary transverse variation signal; when the transverse ablation variation value is larger than a first transverse variation threshold value and smaller than or equal to a second transverse variation threshold value, outputting a secondary transverse variation signal; and when the transverse ablation variation value is larger than a second transverse variation threshold value, outputting a three-level transverse variation signal. Wherein, the ablation variation of the first-level transverse variation signal is smaller than that of the second-level transverse variation signal, and the ablation variation of the second-level transverse variation signal is smaller than that of the third-level transverse variation signal.
The transverse ablation alignment formula is configured as:
The working principle is as follows: before ablation and in an ablation process, cell images of an area to be ablated can be obtained through a microscopic image obtaining unit in an image collecting module, then cell image images before and after ablation can be compared through an image comparing unit, an ablation result is obtained, an ablation parameter suitable for the condition of the tumor cells can be preset through obtaining of the images in advance, meanwhile, in the ablation process, ablation reference can be provided for the ablation process in real time through comparing the images, then the ablation parameter of the ablation process can be obtained through the ablation collecting module, then an adjusting unit can adjust operation parameters of a pulse generating unit based on the ablation parameter obtained by the ablation collecting module, and then the pulse generating unit can generate pulses to ablate the tumor cells.
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 (5)
1. A tumor cell ablation system based on image visualization is characterized by comprising an ablation module, an image acquisition module and an ablation acquisition module;
the ablation module comprises a pulse generation unit and an adjustment unit, the adjustment unit is electrically connected with the pulse generation unit, the ablation acquisition module is used for acquiring ablation parameters in an ablation process, the adjustment unit is used for adjusting operation parameters of the pulse generation unit based on the ablation parameters acquired by the ablation acquisition module, and the pulse generation unit is used for generating pulses to ablate tumor cells;
the image acquisition module comprises a microscopic image acquisition unit and an image comparison unit, the microscopic image acquisition unit is used for acquiring cell images of a region to be ablated, and the image comparison unit is used for comparing cell image images before and after ablation and obtaining an ablation result; the microscopic image acquisition unit is configured with an ablation image pre-acquisition strategy, the ablation image pre-acquisition strategy is used for pre-acquiring a cell image of a region to be ablated, and the ablation image pre-acquisition strategy comprises: dividing the area to be ablated into a plurality of interference detection areas, then selecting a first pre-detection number of pre-detection areas, selecting the number of pre-detection cells in each pre-detection area according to the first pre-detection number, and then acquiring the image of the pre-detection cells in each pre-detection area;
acquiring the number and the average pore diameter of micropores of an image of each cell to be detected, substituting the number and the average pore diameter of the micropores of each cell into a cell pre-detection formula to obtain a cell pre-detection reference value, and substituting the cell pre-detection reference values of a plurality of cells to be detected in all pre-detection areas into an ablation area pre-detection formula to obtain an ablation area pre-detection reference value;
the cell preview formula is configured to:
；
the ablation region preview formula is configured to:
；
wherein, xyjc is a cell pre-detection reference value, syw is the micropore number of the pre-detected cell, sy1 is a micropore number balance value of the pre-detected cell, ryw is the micropore average pore diameter of the pre-detected cell, rw1 is the micropore average pore diameter balance value of the pre-detected cell, qyjc is an ablation region pre-detection reference value, xyjc1 to Xyjci are cell pre-detection reference values of a plurality of pre-detected cells in all pre-detection regions respectively, and i is the number of the plurality of pre-detected cells in all pre-detection regions;
the adjusting unit is configured with an adjusting strategy, which includes: substituting the ablation region pre-detection reference value in the ablation image pre-acquisition strategy into a pulse field intensity preset formula to obtain a pulse preset field intensity; substituting the ablation region pre-detection reference value in the ablation image pre-acquisition strategy into a pulse width preset formula to obtain a pulse preset width;
setting preset parameters of the pulse generating unit according to the preset pulse field intensity and the preset pulse width;
the pulse field strength preset formula is configured as follows:
(ii) a The pulse width preset formula is configured as follows:
(ii) a Mqy is pulse preset field intensity, mq1 is a pulse field intensity conversion coefficient, mky is pulse preset width, and mk1 is a pulse width conversion coefficient.
2. The system of claim 1, wherein the image matching unit is configured with an image matching strategy, the image matching strategy comprising: acquiring an image of a region to be ablated once every first ablation time, randomly selecting a plurality of detection regions in the region to be ablated, setting cells in the detection regions as ablation cells, acquiring the number of micropores and the average pore diameter of the micropores of the ablation cells, and substituting the number of micropores and the average pore diameter of the micropores of the ablation cells into an ablation cell parameter formula to obtain an ablation cell reference value;
substituting the ablation cell reference values of a plurality of ablation cells in all the detection areas into an ablation area comparison formula to obtain an ablation area reference value;
subtracting the ablation area pre-detection reference value from the ablation area ablation reference value to obtain an ablation comparison reference value;
when the ablation comparison reference value is less than or equal to the first comparison threshold value, outputting a primary ablation change signal; when the ablation comparison reference value is greater than the first comparison threshold and less than or equal to the second comparison threshold, outputting a secondary ablation change signal; and when the ablation comparison reference value is larger than the second comparison threshold value, outputting a three-level ablation change signal.
3. The system of claim 2, wherein the tumor cell ablation system is configured to be visualized based on the image,
the ablation cell parameter formula is configured to:
；
the ablation zone comparison formula is configured to:
；
wherein, xxjc is a reference value of the ablated cells, sxw is the number of micropores of the ablated cells, sx1 is a balance value of the number of micropores of the ablated cells, rxw is the average pore diameter of the micropores of the ablated cells, rx1 is the balance value of the average pore diameter of the micropores of the ablated cells, qxjc is the ablation reference value of the ablated regions, xxjc1 to Xxjcj are reference values of the ablated cells of a plurality of ablated cells in all the detection regions, and j is the number of a plurality of ablated cells in all the detection regions.
4. The system of claim 3, wherein the image matching unit is further configured with a lateral matching strategy, the lateral matching strategy comprising: substituting the ablation reference values of the ablation regions of the continuous first transverse comparison number into a transverse ablation comparison formula to obtain a transverse ablation change value;
when the transverse ablation variation value is smaller than or equal to a first transverse variation threshold value, outputting a primary transverse variation signal; when the transverse ablation variation value is larger than a first transverse variation threshold value and smaller than or equal to a second transverse variation threshold value, outputting a secondary transverse variation signal; and when the transverse ablation variation value is larger than a second transverse variation threshold value, outputting a three-level transverse variation signal.
5. The image-visualization-based tumor cell ablation system of claim 4, wherein the lateral ablation alignment formula is configured to:
and the Hbx is a transverse ablation variation value, qxjc1 to Qxjcn are ablation reference values of ablation areas of a first selected continuous transverse comparison number respectively, and n is the first transverse comparison number.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210423814.0A CN114848133B (en) | 2022-04-22 | 2022-04-22 | Tumor cell ablation system based on image visualization |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210423814.0A CN114848133B (en) | 2022-04-22 | 2022-04-22 | Tumor cell ablation system based on image visualization |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114848133A CN114848133A (en) | 2022-08-05 |
| CN114848133B true CN114848133B (en) | 2022-11-18 |
Family
ID=82631614
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210423814.0A Active CN114848133B (en) | 2022-04-22 | 2022-04-22 | Tumor cell ablation system based on image visualization |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114848133B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116026625B (en) * | 2023-02-20 | 2023-08-18 | 天津市鹰泰利安康医疗科技有限责任公司 | Electroporation ablation performance detection device and method using high-frequency bidirectional pulse |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106715682A (en) * | 2014-05-12 | 2017-05-24 | 弗吉尼亚暨州立大学知识产权公司 | Selective modulation of intracellular effects of cells using pulsed electric fields |
| CN109124759A (en) * | 2018-09-12 | 2019-01-04 | 上海睿刀医疗科技有限公司 | Cooperate with generation method, device, medium and the electronic equipment of electric impulse signal |
| CN109394334A (en) * | 2018-11-23 | 2019-03-01 | 刘海鹰 | A kind of high-voltage bipolar steep-sided pulse group therapeutic apparatus for treating tumor and system |
| CN114343820A (en) * | 2022-01-12 | 2022-04-15 | 天津市鹰泰利安康医疗科技有限责任公司 | Visual high-voltage high-frequency steep pulse of image melts tumour cell system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7232437B2 (en) * | 2003-10-30 | 2007-06-19 | Medical Cv, Inc. | Assessment of lesion transmurality |
-
2022
- 2022-04-22 CN CN202210423814.0A patent/CN114848133B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106715682A (en) * | 2014-05-12 | 2017-05-24 | 弗吉尼亚暨州立大学知识产权公司 | Selective modulation of intracellular effects of cells using pulsed electric fields |
| CN109124759A (en) * | 2018-09-12 | 2019-01-04 | 上海睿刀医疗科技有限公司 | Cooperate with generation method, device, medium and the electronic equipment of electric impulse signal |
| CN109394334A (en) * | 2018-11-23 | 2019-03-01 | 刘海鹰 | A kind of high-voltage bipolar steep-sided pulse group therapeutic apparatus for treating tumor and system |
| CN114343820A (en) * | 2022-01-12 | 2022-04-15 | 天津市鹰泰利安康医疗科技有限责任公司 | Visual high-voltage high-frequency steep pulse of image melts tumour cell system |
Non-Patent Citations (1)
| Title |
|---|
| 协同脉冲电场增强不可逆电穿孔组织消融疗效的电学机理与实验研究;吕彦鹏;《重庆大学博士学位论文》;20210115;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114848133A (en) | 2022-08-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114848133B (en) | Tumor cell ablation system based on image visualization | |
| Berenfeld et al. | Spatially distributed dominant excitation frequencies reveal hidden organization in atrial fibrillation in the Langendorff‐perfused sheep heart | |
| CN107106236B (en) | Surgical laser system and laser device | |
| Moushegian et al. | Medial superior‐olivary‐unit response patterns to monaural and binaural clicks | |
| Toronchuk et al. | Auditory cortex neurons sensitive to correlates of auditory motion: underlying mechanisms | |
| CN110693605A (en) | High-voltage pulse system for cardiac ablation | |
| CN114343820B (en) | Visual high-voltage high-frequency steep pulse of image melts tumour cell system | |
| CN104382689A (en) | Femtosecond laser system using for imaging and operation at the same time | |
| Iaconetta et al. | Duplicated abducent nerve and its course: microanatomical study and surgery-related considerations | |
| CN113100918A (en) | Pulse control method and device, ablation equipment, system and storage medium | |
| CN110693606A (en) | Sinusoidal envelope high-voltage pulse output method for cardiac ablation | |
| CN113098448B (en) | Pulse generating method, pulse generating device, storage medium, and electronic apparatus | |
| Nagase et al. | Influence of various energy settings and overlap ratios on size and continuity of lesions in a laser balloon ablation in vitro model | |
| Mi et al. | Electroporation simulation of a multicellular system exposed to high-frequency 500 ns pulsed electric fields | |
| CN103025044B (en) | Method and device for protecting cavity ignition of medical circular accelerator | |
| WO2023078338A1 (en) | Ablation system | |
| RU2732696C2 (en) | Portable device used mainly for burning and drying by means of spark discharge | |
| KR101643892B1 (en) | Apparatus and method for generating map for virtual catherter ablation arrhythmas | |
| KR102346167B1 (en) | Pulse applying method of high-frequency irreversible electroporation system for inducing electrochemical reaction | |
| Præstegaard et al. | Two-photon detachment of H− in the vicinity of the one-photon detachment threshold | |
| Strausfeld et al. | L3, the 3rd 2nd order neuron of the 1st visual ganglion in the “neural superposition” eye of Musca domestica | |
| CN114869446A (en) | Irreversible electroporation ablation system used in cardiac vessels | |
| DE102008003475A1 (en) | High-frequency generator for electrosurgical cutting | |
| EP3011923B1 (en) | Device for metal detection when acting on biological tissue by means of a spark-forming electrosurgical instrument | |
| Buss et al. | Factors contributing to comodulation masking release with dichotic maskers |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |