CN112508896B - Blood supply quantitative evaluation and expression method, device, storage medium and terminal - Google Patents
Blood supply quantitative evaluation and expression method, device, storage medium and terminal Download PDFInfo
- Publication number
- CN112508896B CN112508896B CN202011371299.3A CN202011371299A CN112508896B CN 112508896 B CN112508896 B CN 112508896B CN 202011371299 A CN202011371299 A CN 202011371299A CN 112508896 B CN112508896 B CN 112508896B
- Authority
- CN
- China
- Prior art keywords
- characteristic value
- area
- curve
- brightness change
- calculating
- 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
- 230000036770 blood supply Effects 0.000 title claims abstract description 52
- 238000000034 method Methods 0.000 title claims abstract description 39
- 238000011158 quantitative evaluation Methods 0.000 title claims abstract description 27
- 230000008859 change Effects 0.000 claims abstract description 64
- 238000004590 computer program Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 9
- 238000002347 injection Methods 0.000 claims description 3
- 239000007924 injection Substances 0.000 claims description 3
- 239000003795 chemical substances by application Substances 0.000 claims description 2
- 230000008569 process Effects 0.000 abstract description 13
- 230000010412 perfusion Effects 0.000 abstract description 9
- 238000011002 quantification Methods 0.000 abstract description 6
- 238000010521 absorption reaction Methods 0.000 abstract description 3
- 230000007613 environmental effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 5
- 238000011156 evaluation Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000000630 rising effect Effects 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- 210000001519 tissue Anatomy 0.000 description 3
- 206010068797 Anastomotic fistula Diseases 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- MOFVSTNWEDAEEK-UHFFFAOYSA-M indocyanine green Chemical compound [Na+].[O-]S(=O)(=O)CCCCN1C2=CC=C3C=CC=CC3=C2C(C)(C)C1=CC=CC=CC=CC1=[N+](CCCCS([O-])(=O)=O)C2=CC=C(C=CC=C3)C3=C2C1(C)C MOFVSTNWEDAEEK-UHFFFAOYSA-M 0.000 description 2
- 229960004657 indocyanine green Drugs 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000001356 surgical procedure Methods 0.000 description 2
- 241001584785 Anavitrinella pampinaria Species 0.000 description 1
- 206010028980 Neoplasm Diseases 0.000 description 1
- 230000003872 anastomosis Effects 0.000 description 1
- 238000002583 angiography Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013189 cholangiography Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 238000011902 gastrointestinal surgery Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000000968 intestinal effect Effects 0.000 description 1
- 210000001165 lymph node Anatomy 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002980 postoperative effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0071—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by measuring fluorescence emission
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
- A61B5/0086—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters using infrared radiation
-
- 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
- A61B90/06—Measuring instruments not otherwise provided for
Abstract
The invention discloses a blood supply quantitative evaluation and expression method, a blood supply quantitative evaluation and expression device, a storage medium and a terminal, wherein relative value quantification is introduced to further improve the near-infrared fluorescence quantification accuracy; under the unified collection environment, selecting a place with good blood supply as a reference area, and calculating a relative value between the characteristics of the area to be detected and the reference area, wherein the relative value is a quantitative value for judgment, so that the problems of self absorption and environmental interference of a patient can be effectively solved, and more objective, accurate and quantitative judgment can be obtained; in the aspect of quantitative expression, the change of each pixel point on a time sequence is recorded so as to calculate the process characteristic quantity of each pixel point in the whole perfusion process, a full-pixel characteristic value ratio map is output by the pixel value in a pseudo-colorization mode, each point characteristic value of the whole picture is expressed, the process characteristic values of all areas of the whole picture are expressed more visually, the strength distribution of all characteristic value ratios is judged more completely, the range for judgment is enlarged, more comprehensive and more detailed judgment is provided, and the probability of missing judgment is reduced.
Description
Technical Field
The invention relates to the technical field of computer software/image processing, in particular to a blood supply quantitative evaluation and expression method, a blood supply quantitative evaluation and expression device, a storage medium and a terminal.
Background
In recent years, near-infrared fluorescence navigation endoscope systems based on developer indocyanine green have been widely applied to surgical operations, and particularly, in the operations of gynecology and hepatobiliary surgery, the near-infrared fluorescence navigation endoscope systems can realize important functions of lymph node marking, tumor marking, cholangiography, angiography and the like in the operations. In the application of gastrointestinal surgery and the like, when blood supply evaluation is carried out on an anastomotic stoma or other tissues, an operator carries out the blood supply evaluation on the anastomotic stoma or other tissues by combining personal experience and the fluorescence signal intensity of the region, and if the fluorescence signal intensity is high, the blood supply is judged to be normal; if the fluorescence signal is weak, the blood supply is judged to be poor, and anastomotic fistula is easy to appear after the operation. And the blood supply of the anastomotic stoma is evaluated according to the subjective judgment of the fluorescence intensity of the anastomotic stoma, so that the evaluation result possibly generates deviation due to subjective factors and cannot meet the requirement of accurate medical treatment.
In order to further realize accurate medical treatment, a quantitative evaluation method for recording the fluorescence intensity value, time-intensity curve change, curve slope value, peak time and other type parameters of a tissue region to be detected is researched, so that subjective judgment factors are reduced to a certain extent, and the judgment accuracy is improved. However, considering the difference in drug absorption by each patient himself, the above-described problem of non-versatility of the quantitative index parameter is caused. Moreover, the near-infrared fluorescent navigation device itself has the problem of interference from unstable environment, and the difference is also brought in.
In addition, most of the current methods for expressing these data are to provide quantitative values or change curves of local areas for the judgment of doctors. However, since the coverage area is limited based on manually selecting each region to be measured, this method cannot express the state of each corner of the entire screen.
Therefore, the prior art still needs to be improved and developed.
Disclosure of Invention
The invention aims to provide a blood supply quantitative evaluation and expression method, a blood supply quantitative evaluation and expression device, a storage medium and a terminal, and further improve the accuracy of near-infrared fluorescence quantification.
The technical scheme of the invention is as follows: a blood supply quantitative evaluation and expression method specifically comprises the following steps:
acquiring a video picture of a fluorescence original signal in real time;
selecting a reference area and an area to be detected in the video picture;
recording brightness changes of a reference area and a to-be-detected area after the developer is injected in a video picture along with time sequence evolution to obtain a brightness change curve of the reference area and a brightness change curve of the to-be-detected area;
calculating to obtain a reference area curve characteristic value corresponding to the requirement according to the brightness change curve of the reference area, and calculating to obtain a to-be-detected area curve characteristic value corresponding to the requirement according to the brightness change curve of the to-be-detected area;
and calculating the ratio of the curve characteristic value of the region to be detected to the curve characteristic value of the reference region, and obtaining the blood supply level of the region to be detected according to the ratio.
The blood supply quantitative evaluation and expression method specifically comprises the following steps when each pixel point on one image is used as a region to be detected one by one:
acquiring each frame image of a video picture of a fluorescence original signal in real time;
selecting a reference region in the video picture;
recording the brightness change of each pixel point after developer injection along with the evolution of a time sequence and the brightness change of a reference area along with the evolution of the time sequence according to each acquired frame image to obtain a brightness change curve of each pixel point on a full time sequence and a brightness change curve of the reference area;
calculating a curve characteristic value of a region to be detected corresponding to the requirement of the pixel point according to the brightness change curve of the pixel point, and calculating to obtain the curve characteristic value of the region to be detected corresponding to the requirement according to the brightness change curve of the region to be detected;
calculating the ratio of the curve characteristic value of the area to be measured of the pixel point to the curve characteristic value of the area to be measured;
traversing and calculating to obtain the ratio of the curve characteristic value of the region to be measured of all pixel points on the image to the curve characteristic value of the region to be measured, and finding out the maximum value and the minimum value of the ratio;
calculating to obtain the standard characteristic ratios of all the pixel points according to the maximum value and the minimum value of the ratios;
generating a gray scale map according to the standard characteristic ratios of all the pixel points;
and obtaining a full-pixel characteristic value ratio map according to the gray scale map, and judging the variation amplitude of the blood supply level of the area covered by the whole video picture through the full-pixel characteristic value ratio map.
According to the blood supply quantitative evaluation and expression method, the standard characteristic ratios of all the pixel points are obtained through normalization calculation according to the maximum value and the minimum value of the ratios.
The blood supply quantitative evaluation and expression method comprises the steps of stretching the standard characteristic ratios of all pixel points to a plurality of bit expression ranges of 0-255 to generate a gray scale map.
The blood supply quantitative evaluation and expression method is characterized in that a gray scale image is changed into an image picture in a pseudo-color mode, and a full-pixel characteristic value ratio image is obtained.
A blood supply quantitative evaluation and expression device, comprising:
the video image acquisition module is used for acquiring a video image of the fluorescence original signal in real time;
the selection module is used for selecting a reference area and an area to be detected in the video picture;
the brightness change curve acquisition module is used for recording the brightness changes of a reference area and a to-be-detected area which are injected with the developing agent in the video picture along with the evolution of a time sequence to obtain a brightness change curve of the reference area and a brightness change curve of the to-be-detected area;
the curve characteristic value calculating module is used for calculating to obtain a reference area curve characteristic value corresponding to the requirement according to the brightness change curve of the reference area and calculating to obtain a to-be-detected area curve characteristic value corresponding to the requirement according to the brightness change curve of the to-be-detected area;
and the ratio calculation module is used for calculating the ratio of the curve characteristic value of the region to be detected and the curve characteristic value of the reference region and obtaining the blood supply level of the region to be detected according to the ratio.
The blood supply quantitative evaluation and expression device further comprises a standard characteristic ratio calculation module for calculating the standard characteristic ratios of all the pixel points according to the maximum value and the minimum value of the ratios when each pixel point on one image is taken as the region to be measured one by one.
The blood supply quantitative evaluation and expression device comprises a gray scale map generation module and a calculation module, wherein when each pixel point on one image is used as a region to be detected one by one, the gray scale map generation module generates a gray scale map according to the standard characteristic ratio of all the pixel points; and the full-pixel characteristic value ratio map generation module is used for obtaining a full-pixel characteristic value ratio map according to the gray level map.
A storage medium having stored therein a computer program which, when run on a computer, causes the computer to perform the method of any one of the preceding claims.
A terminal device comprising a processor and a memory, the memory having stored therein a computer program, the processor being configured to execute the method of any one of the preceding claims by calling the computer program stored in the memory.
The invention has the beneficial effects that: the invention further improves the accuracy of the near infrared fluorescence quantification by introducing a quantification concept of a relative value through providing a blood supply quantification assessment and expression method, a device, a storage medium and a terminal; under a unified acquisition environment, selecting a place with good blood supply in a visual field as a reference area, and calculating a relative value of the characteristics of the area to be detected and the reference area, wherein the relative value is a quantized value finally used for judgment, so that the problems of self absorption and environmental interference of a patient can be effectively solved, and more objective, accurate and quantized judgment can be obtained; in addition, on the quantitative expression method, the change of each pixel point on the time sequence is recorded so as to calculate the process characteristic quantity of each pixel point in the whole perfusion process, the pixel value is output to a full-pixel characteristic value ratio diagram in a pseudo-colorization mode, the characteristic value of each point of the whole picture is expressed, the process characteristic values of all regions of the whole picture are expressed more visually, the strength distribution of all characteristic value ratios can be judged more completely, the range for judgment is enlarged, more comprehensive and more detailed judgment is provided, the probability of missed judgment is reduced, and the judgment accuracy is improved.
Drawings
FIG. 1 is a flow chart of the steps of the quantitative evaluation and expression method for blood supply in the present invention.
FIG. 2 is a schematic diagram of a reference region and a region to be measured in the present invention.
FIG. 3 is a schematic diagram of a luminance variation curve of a reference region and a luminance variation curve of a region to be measured according to the present invention.
FIG. 4 is a graph of fluorescence signals at the beginning of the perfusion process in the present invention.
FIG. 5 is a graph of the fluorescence signal at the time of peak perfusion in the present invention.
FIG. 6 is a diagram illustrating the ratio of the full-pixel eigenvalue of the present invention.
FIG. 7 is a schematic view of the apparatus for quantitative evaluation and expression of blood supply in the present invention.
Fig. 8 is a schematic diagram of a terminal in the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, as generally described and illustrated in the figures herein, could be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not construed as indicating or implying relative importance.
The technical scheme protects a blood supply quantitative evaluation and expression method, which specifically comprises the following steps:
s1: and acquiring a video picture of the fluorescence original signal in real time.
Wherein, when preparing to start blood supply evaluation, a video picture of the fluorescence original signal is acquired in real time.
S2: and selecting a region with good blood supply in the video picture as a reference region.
As shown in FIG. 2, the image of the rectal operation is shown, wherein the frame 1 is a reference area, and the selected position is the position of the normally blood-supplied intestinal segment.
S3: and selecting a place needing blood supply measurement in the video picture as a region to be measured (namely, a region needing to be judged and verified whether the blood supply is good or not).
As shown in fig. 2, the frame 2 is the area to be measured, and the selected position is the position for performing anastomosis in the rectal surgery, which needs to be evaluated to ensure good blood supply to reduce the risk of postoperative anastomotic fistula, so that the area is defined as the area to be measured.
S4: after injecting the developer indocyanine green, the luminance change of the reference region and the region to be measured on the time axis in the video picture is recorded as time-series evolution, as shown in fig. 3, where line 1 is the luminance change Curve currve _ ref of the reference region, and line 2 is the luminance change Curve currve _ meas of the region to be measured.
S5: on the curve, the Feature values Feature _ ref and Feature _ meas of each stage of the two curves can be calculated according to the requirement of the Feature values.
The feature values mentioned in the present technical solution mainly introduce and describe the rising slope in the interval of 10% to 90%, but other feature values may be used in the actual scene according to the specific application, for example, slope values of other stages (including, for example, 25% to 75% of the rising stage and 75% to 25% of the falling stage), ratios of absolute brightness values, ratios of average values (such as ratios of brightness average values, ratios of slope value average values, and the like), ratios of maximum values (such as ratios of brightness maximum values, ratios of slope value maximum values, and the like), ratios of minimum values (such as ratios of brightness minimum values, ratios of slope value minimum values, and the like), ratios of areas integrating brightness along the stage time sequence, ratios of stage times (required time to reach the maximum value n% of brightness), and the like. The brightness difference caused by more environment and equipment differences can be overcome by using the phase time ratio; based on such a ratio of times, the absolute brightness difference can be removed. The above all apply the idea of making a ratio with the reference region feature value, only replacing the different input features.
As shown in fig. 3, line 1 represents the change in fluorescence intensity from 10% to 90% in the reference region, with a slope of Feature _ ref =10.581 levels/sec; line 2 represents the change in fluorescence intensity from 10% to 90% in the area to be measured, with a slope of Feature _ meas =8.710 levels/sec.
S6: and calculating the Ratio = Feature _ meas/Feature _ ref of the curve Feature value of the region to be measured and the curve Feature value of the reference region obtained in the step S4. When the ratio is closer to 1, it indicates that the feature of the region to be measured is closer to the feature of the reference region, that is, the blood supply level of the region to be measured is close to the normal level through quantitative evaluation.
As shown in fig. 3, ratio =8.710/10.581=0.823.
According to the blood supply quantitative evaluation and expression method, each pixel point of the whole image can be used as a region to be detected one by one for processing, as shown in fig. 1, the specific process is as follows:
s1: and acquiring a video picture of the fluorescence original signal in real time.
s2: and selecting a region with good blood supply in the video picture as a reference region.
s3: recording the brightness change of each pixel point and the reference area according to each frame of image in the time sequence to obtain a brightness change Curve of each pixel point in the full time sequence and a brightness change Curve Curve _ ref of the reference area;
wherein, defining a pixel point position as (x, y), the luminance variation Curve corresponding to the pixel point is cut _ (x, y), and the luminance corresponding to the nth frame picture is cut _ (x, y, n).
s4: calculating the Feature value Feature _ (x, y) assigned to each stage on the Curve _ (x, y), for example, calculating the slope value of 10% -90% of the rising stage on the Curve corresponding to the pixel position; calculating a characteristic value Feature _ ref of each stage of a brightness change Curve _ ref of a reference area;
s5: calculate the ratio of Feature _ (x, y) to Feature _ ref:
Feature_Ratio_(x,y)=Feature_(x,y)/Feature_ref。
s6: traversing the Feature _ Ratio values of all pixel points to obtain the maximum Feature _ Ratio value and the minimum Feature _ Ratio value of all pixel points, and normalizing the Feature _ Ratio values of all pixel points according to the maximum Feature _ Ratio value and the minimum Feature _ Ratio value to obtain Feature _ Ratio _ Norm;
s7: stretching Feature _ Ratio _ Norm of all pixel points to a plurality of bit (such as 8 bits, 10 bits and the like) expression ranges of 0-255 to generate a common gray scale map;
s8: and forming an image picture by the gray-scale image in a pseudo-color mode, thereby comprehensively and completely expressing the change range of the characteristic value of each pixel point of the whole image on a time sequence, and outputting a full-pixel characteristic value ratio image.
Through the steps s6 to s8, the output full-pixel characteristic value ratio graph can comprehensively and completely express the characteristic value variation amplitude of each pixel point of the whole image in the time sequence, so that the variation amplitude of the blood supply level of the area covered by the whole video image can be judged more visually. For example, a sequence from blue to green to red is used to indicate a change in the feature value of each pixel from small to large; the perfusion effect of the area can be judged according to the indication of the intensity of the area, so that a conclusion can be obtained in real time.
As shown in FIG. 4, the fluorescence signal is shown at the beginning of the perfusion process. FIG. 5 shows the fluorescence signal when the perfusion process reaches a peak. As shown in fig. 6, reference is made to s7 above, which is a ratio graph of all-pixel eigenvalues obtained by normalization of slope ratio of fluorescence intensity varying from 10% to 90% during the whole perfusion process and by pseudo-colorization. Referring to the effect of fig. 6, the regions with similar perfusion characteristics to the reference region (box 3) can be visually seen, while the regions with more different characteristics are also visually indicated.
As shown in fig. 7, a blood supply quantitative evaluation and expression device includes:
the video image acquisition module 101 is used for acquiring a video image of the fluorescence original signal in real time;
a selection module 102, configured to select a reference region and a region to be detected in the video frame;
the luminance change curve acquisition module 103 is used for recording luminance changes of a reference area and a to-be-detected area which are injected with the developer in the video image along with time sequence evolution to obtain a luminance change curve of the reference area and a luminance change curve of the to-be-detected area;
the curve characteristic value calculation module 104 is used for calculating a reference area curve characteristic value corresponding to the requirement according to the brightness change curve of the reference area and calculating a to-be-detected area curve characteristic value corresponding to the requirement according to the brightness change curve of the to-be-detected area;
and the ratio calculation module 105 is used for calculating the ratio of the curve characteristic value of the region to be detected and the curve characteristic value of the reference region, and obtaining the blood supply level of the region to be detected according to the ratio.
In some embodiments, when each pixel point on one image is taken as the region to be measured one by one, the blood supply quantitative evaluation and expression device further includes a standard feature ratio calculation module 106 for calculating the standard feature ratio of all the pixel points according to the maximum value and the minimum value of the ratio.
In some embodiments, when each pixel point on an image is taken as a region to be measured one by one, the blood supply quantitative evaluation and expression apparatus further includes a gray-scale map generation module 107 for generating a gray-scale map according to the standard feature ratios of all the pixel points.
In some embodiments, when each pixel point on one image is taken as the region to be measured one by one, the blood supply quantitative evaluation and expression device further includes a full-pixel feature value ratio map generation module 108, which obtains a full-pixel feature value ratio map according to the gray scale map.
Referring to fig. 8, an embodiment of the present invention further provides a terminal. As shown, the terminal 300 includes a processor 301 and a memory 302. The processor 301 is electrically connected to the memory 302. The processor 301 is a control center of the terminal 300, connects various parts of the entire terminal using various interfaces and lines, and performs various functions of the terminal and processes data by running or calling a computer program stored in the memory 302 and calling data stored in the memory 302, thereby performing overall monitoring of the terminal 300.
In this embodiment, the processor 301 in the terminal 300 loads instructions corresponding to one or more processes of the computer program into the memory 302 according to the following steps, and the processor 301 runs the computer program stored in the memory 302, so as to implement various functions: acquiring a video picture of a fluorescence original signal in real time; selecting a reference area and an area to be detected in the video picture; recording the brightness changes of a reference area and a to-be-detected area which are injected with a developer in a video picture along with the evolution of a time sequence to obtain a brightness change curve of the reference area and a brightness change curve of the to-be-detected area; calculating to obtain a reference area curve characteristic value corresponding to the requirement according to the brightness change curve of the reference area, and calculating to obtain a to-be-detected area curve characteristic value corresponding to the requirement according to the brightness change curve of the to-be-detected area; and calculating the ratio of the curve characteristic value of the area to be detected to the curve characteristic value of the reference area, and obtaining the blood supply level of the area to be detected according to the ratio.
Memory 302 may be used to store computer programs and data. The memory 302 stores computer programs containing instructions executable in the processor. The computer program may constitute various functional modules. The processor 301 executes various functional applications and data processing by calling a computer program stored in the memory 302.
An embodiment of the present application provides a storage medium, and when being executed by a processor, the computer program performs a method in any optional implementation manner of the foregoing embodiment to implement the following functions: acquiring a video picture of a fluorescence original signal in real time; selecting a reference area and an area to be detected in the video picture; recording brightness changes of a reference area and a to-be-detected area after the developer is injected in a video picture along with time sequence evolution to obtain a brightness change curve of the reference area and a brightness change curve of the to-be-detected area; calculating to obtain a reference area curve characteristic value corresponding to the requirement according to the brightness change curve of the reference area, and calculating to obtain a to-be-detected area curve characteristic value corresponding to the requirement according to the brightness change curve of the to-be-detected area; and calculating the ratio of the curve characteristic value of the region to be detected to the curve characteristic value of the reference region, and obtaining the blood supply level of the region to be detected according to the ratio. The storage medium may be implemented by any type of volatile or nonvolatile storage device or combination thereof, such as a Static Random Access Memory (SRAM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), an Erasable Programmable Read-Only Memory (EPROM), a Programmable Read-Only Memory (PROM), a Read-Only Memory (ROM), a magnetic Memory, a flash Memory, a magnetic disk, or an optical disk.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions when actually implemented, and for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of devices or units through some communication interfaces, and may be in an electrical, mechanical or other form.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Furthermore, the functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
In this document, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (4)
1. A blood supply quantitative evaluation and expression method is characterized by comprising the following steps:
acquiring a video picture of a fluorescence original signal in real time;
selecting a reference area and an area to be detected in the video picture;
recording brightness changes of a reference area and a to-be-detected area after the developer is injected in a video picture along with time sequence evolution to obtain a brightness change curve of the reference area and a brightness change curve of the to-be-detected area;
calculating to obtain a reference area curve characteristic value corresponding to the requirement according to the brightness change curve of the reference area, and calculating to obtain a to-be-detected area curve characteristic value corresponding to the requirement according to the brightness change curve of the to-be-detected area;
calculating the ratio of the curve characteristic value of the region to be detected to the curve characteristic value of the reference region, and obtaining the blood supply level of the region to be detected according to the ratio;
the characteristic value is the slope of the fluorescence brightness from 10% to 90%;
when the area to be detected is selected from the video picture, each pixel point on the video picture is used as the area to be detected one by one, and the method specifically comprises the following steps:
acquiring each frame image of a video picture of a fluorescence original signal in real time;
selecting a reference region in the video picture;
recording the brightness change of each pixel point after developer injection along with the evolution of a time sequence and the brightness change of a reference area along with the evolution of the time sequence according to each acquired frame image to obtain a brightness change curve of each pixel point on a full time sequence and a brightness change curve of the reference area;
calculating a curve characteristic value of a region to be detected corresponding to the requirement of the pixel point according to the brightness change curve of the pixel point, and calculating a reference region curve characteristic value corresponding to the requirement according to the brightness change curve of the reference region;
calculating the ratio of the curve characteristic value of the region to be measured of the pixel point to the curve characteristic value of the reference region;
traversing and calculating to obtain the ratio of the curve characteristic value of the region to be measured of all pixel points on the image to the curve characteristic value of the reference region, and finding out the maximum value and the minimum value of the ratio;
calculating to obtain the standard characteristic ratios of all the pixel points according to the maximum value and the minimum value of the ratios;
stretching the standard characteristic ratios of all the pixel points to a plurality of bit expression ranges of 0-255 to generate a gray scale map;
and changing the gray level image into an image in a pseudo-color mode to obtain a full-pixel characteristic value ratio image, and judging the variation amplitude of the blood supply level of the area covered by the whole video image through the full-pixel characteristic value ratio image.
2. A blood supply quantitative assessment and expression device, comprising:
the video image acquisition module is used for acquiring a video image of the fluorescence original signal in real time;
the selection module selects a reference area and an area to be detected in the video picture;
the brightness change curve acquisition module is used for recording the brightness changes of a reference area and a to-be-detected area which are injected with the developing agent in the video picture along with the evolution of a time sequence to obtain a brightness change curve of the reference area and a brightness change curve of the to-be-detected area;
the curve characteristic value calculating module is used for calculating to obtain a reference area curve characteristic value corresponding to the requirement according to the brightness change curve of the reference area and calculating to obtain a to-be-detected area curve characteristic value corresponding to the requirement according to the brightness change curve of the to-be-detected area;
the ratio calculation module is used for calculating the ratio of the curve characteristic value of the area to be measured and the curve characteristic value of the reference area and obtaining the blood supply level of the area to be measured according to the ratio;
the characteristic value is the slope of the fluorescence brightness from 10% to 90%;
when selecting the region to be measured in the video picture, regard each pixel point on the video picture as the region to be measured one by one, specifically include:
acquiring each frame image of a video picture of a fluorescence original signal in real time;
selecting a reference region in the video picture;
recording the brightness change of each pixel point after developer injection along with the evolution of a time sequence and the brightness change of a reference area along with the evolution of the time sequence according to each acquired frame image to obtain a brightness change curve of each pixel point on the full time sequence and a brightness change curve of the reference area;
calculating the curve characteristic value of the area to be detected corresponding to the requirement of the pixel point according to the brightness change curve of the pixel point, and calculating to obtain the curve characteristic value of the reference area corresponding to the requirement according to the brightness change curve of the reference area;
calculating the ratio of the curve characteristic value of the region to be measured of the pixel point to the curve characteristic value of the reference region;
traversing calculation is carried out to obtain the ratio of the curve characteristic value of the area to be measured of all pixel points on the image to the curve characteristic value of the reference area, and the maximum value and the minimum value of the ratio are found;
calculating to obtain the standard characteristic ratios of all the pixel points according to the maximum value and the minimum value of the ratios;
the gray-scale image generation module is used for stretching the standard characteristic ratios of all the pixel points to a plurality of bit expression ranges of 0-255 to generate a gray-scale image;
and the full-pixel characteristic value ratio map generation module is used for converting the gray scale map into an image picture in a pseudo-color mode to obtain a full-pixel characteristic value ratio map, and judging the variation amplitude of the blood supply level of the area covered by the whole video picture through the full-pixel characteristic value ratio map.
3. A storage medium having stored thereon a computer program which, when run on a computer, causes the computer to perform the method of claim 1.
4. A terminal device, characterized in that it comprises a processor and a memory, in which a computer program is stored, said processor being adapted to execute the method of claim 1 by calling said computer program stored in said memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011371299.3A CN112508896B (en) | 2020-11-30 | 2020-11-30 | Blood supply quantitative evaluation and expression method, device, storage medium and terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011371299.3A CN112508896B (en) | 2020-11-30 | 2020-11-30 | Blood supply quantitative evaluation and expression method, device, storage medium and terminal |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112508896A CN112508896A (en) | 2021-03-16 |
| CN112508896B true CN112508896B (en) | 2023-03-28 |
Family
ID=74967688
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011371299.3A Active CN112508896B (en) | 2020-11-30 | 2020-11-30 | Blood supply quantitative evaluation and expression method, device, storage medium and terminal |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112508896B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101546426A (en) * | 2009-04-30 | 2009-09-30 | 上海交通大学 | Weak luminescence image processing method based on regional augmentation and regional extraction |
| CN105395184A (en) * | 2015-12-04 | 2016-03-16 | 华中科技大学 | Biological tissue blood flow, blood oxygen and blood volume multi-parameter detection method and device |
| CN108366820A (en) * | 2015-10-26 | 2018-08-03 | 纽韦弗医疗设备公司 | Energy delivery system and application thereof |
| CN109843176A (en) * | 2016-07-29 | 2019-06-04 | 诺瓦达克技术有限公司 | For characterizing the method and system of the tissue of subject using machine learning |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100483218C (en) * | 2006-10-12 | 2009-04-29 | 友达光电股份有限公司 | Adoptive back-light adjusting system and method |
| CN105243287A (en) * | 2015-11-12 | 2016-01-13 | 李勇 | Method for quantitatively determining blood supply level and embolism proportion of tumors |
| CN108665978A (en) * | 2018-04-03 | 2018-10-16 | 首都医科大学附属北京同仁医院 | Analysis method and system for tumour MRI image dynamic contract-enhanced degree |
-
2020
- 2020-11-30 CN CN202011371299.3A patent/CN112508896B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101546426A (en) * | 2009-04-30 | 2009-09-30 | 上海交通大学 | Weak luminescence image processing method based on regional augmentation and regional extraction |
| CN108366820A (en) * | 2015-10-26 | 2018-08-03 | 纽韦弗医疗设备公司 | Energy delivery system and application thereof |
| CN105395184A (en) * | 2015-12-04 | 2016-03-16 | 华中科技大学 | Biological tissue blood flow, blood oxygen and blood volume multi-parameter detection method and device |
| CN109843176A (en) * | 2016-07-29 | 2019-06-04 | 诺瓦达克技术有限公司 | For characterizing the method and system of the tissue of subject using machine learning |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112508896A (en) | 2021-03-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10115191B2 (en) | Information processing apparatus, information processing system, information processing method, program, and recording medium | |
| AU2013360356B2 (en) | Method and apparatus for automated determination of a lumen contour of a blood vessel | |
| CN100577088C (en) | Image display apparatus | |
| US9974490B2 (en) | Method and device for segmenting a medical examination object with quantitative magnetic resonance imaging | |
| US10537282B2 (en) | Medical image processing apparatus, medical image diagnosis apparatus and recording medium | |
| JPH07129751A (en) | Medical picture processor | |
| US11928816B2 (en) | Image processing method, apparatus, and system, electronic device, and storage medium | |
| JPWO2017199635A1 (en) | Image analysis apparatus, image analysis system, and operation method of image analysis apparatus | |
| CN109581106A (en) | Test equipment control method, device, system and electronic equipment | |
| JP2005157902A (en) | Image analyzing method | |
| CN104720835A (en) | Display device, image displaying method and computerized tomography apparatus | |
| US11857164B2 (en) | Method, image processor and device for observing an object containing a bolus of a fluorophore | |
| CN115100230B (en) | Artery and vein separation method and device based on blood vessel image, storage medium and terminal | |
| CN112508896B (en) | Blood supply quantitative evaluation and expression method, device, storage medium and terminal | |
| US8848998B1 (en) | Automated method for contrast media arrival detection for dynamic contrast enhanced MRI | |
| JP7162744B2 (en) | Endoscope processor, endoscope system, information processing device, program and information processing method | |
| CN115005846B (en) | Data processing method and device suitable for blood vessel development | |
| CN113436709A (en) | Image display method and related device and equipment | |
| CN110916649B (en) | Processing device, processing method and detection device for long-range electrocardiogram scatter diagram | |
| CN111449649B (en) | Electrocardiogram data processing method and device and computer readable storage medium | |
| US20220313092A1 (en) | Method and device for monitoring the fluorescence emitted at the surface of a biological tissue | |
| US20200187797A1 (en) | Fluorescence imaging processing and computation for surgery | |
| US20230377757A1 (en) | Medical information processing device, medical information processing method, and storage medium | |
| CN106562779B (en) | Device and method for graphically displaying ventricular ejection fraction change and monitoring system | |
| JP2022088330A (en) | Output device for outputting chronological measured value progression |
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 | ||
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: 528253 Room 503, Floor 5, Building A, Jingu Zhichuang Industrial Community, No. 2, Yong'an North Road, Dawu Community, Guicheng Street, Nanhai District, Foshan City, Guangdong Province (residence declaration) Patentee after: Guangdong Oupu Mandi Technology Co.,Ltd. Address before: Room B, room 504-2, floor 5, block a, Jingu photoelectric community, No. 1, Yongan North Road, Pingzhou, Guicheng Street, Nanhai District, Foshan City, Guangdong Province, 528251 Patentee before: GUANGDONG OPTOMEDIC TECHNOLOGY CO.,LTD. |