WO2024103996A1 - 导管冲刷控制方法、装置、计算机设备以及存储介质 - Google Patents
导管冲刷控制方法、装置、计算机设备以及存储介质 Download PDFInfo
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- 238000011010 flushing procedure Methods 0.000 title claims abstract description 121
- 238000000034 method Methods 0.000 title claims abstract description 61
- 230000002526 effect on cardiovascular system Effects 0.000 claims abstract description 71
- 238000003384 imaging method Methods 0.000 claims abstract description 57
- 238000004590 computer program Methods 0.000 claims description 45
- 238000001802 infusion Methods 0.000 claims description 31
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 26
- 238000001514 detection method Methods 0.000 claims description 23
- 238000004422 calculation algorithm Methods 0.000 claims description 15
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000008569 process Effects 0.000 description 13
- 238000005516 engineering process Methods 0.000 description 12
- 238000012545 processing Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 8
- 238000002608 intravascular ultrasound Methods 0.000 description 8
- 238000002604 ultrasonography Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 6
- 238000002059 diagnostic imaging Methods 0.000 description 6
- 210000004204 blood vessel Anatomy 0.000 description 5
- 238000002347 injection Methods 0.000 description 5
- 239000007924 injection Substances 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000010191 image analysis Methods 0.000 description 4
- 239000000523 sample Substances 0.000 description 4
- 208000024172 Cardiovascular disease Diseases 0.000 description 3
- 239000008280 blood Substances 0.000 description 3
- 210000004369 blood Anatomy 0.000 description 3
- 230000000747 cardiac effect Effects 0.000 description 3
- 208000026106 cerebrovascular disease Diseases 0.000 description 3
- 239000000243 solution Substances 0.000 description 3
- 230000017531 blood circulation Effects 0.000 description 2
- 210000000748 cardiovascular system Anatomy 0.000 description 2
- 238000013500 data storage Methods 0.000 description 2
- 239000007788 liquid Substances 0.000 description 2
- 238000010992 reflux Methods 0.000 description 2
- 238000012285 ultrasound imaging Methods 0.000 description 2
- 206010003211 Arteriosclerosis coronary artery Diseases 0.000 description 1
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 241001292396 Cirrhitidae Species 0.000 description 1
- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
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- 238000003759 clinical diagnosis Methods 0.000 description 1
- 208000029078 coronary artery disease Diseases 0.000 description 1
- 208000026758 coronary atherosclerosis Diseases 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 229910021389 graphene Inorganic materials 0.000 description 1
- 230000036541 health Effects 0.000 description 1
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Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/08—Detecting organic movements or changes, e.g. tumours, cysts, swellings
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/12—Diagnosis using ultrasonic, sonic or infrasonic waves in body cavities or body tracts, e.g. by using catheters
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M39/00—Tubes, tube connectors, tube couplings, valves, access sites or the like, specially adapted for medical use
Definitions
- the present application relates to the field of automation technology, and in particular to a catheter flushing control method, device, computer equipment, storage medium and computer program product.
- IVUS Intravascular ultrasound
- IVUS is an interventional imaging technology commonly used in clinical diagnosis of vascular lesions. It places a miniature high-frequency ultrasound probe on the top of the cardiac catheter, uses the cardiac catheter to guide the ultrasound probe into the blood vessel cavity for detection, and then uses the electronic imaging system to display the micro-anatomical information of the vascular tissue structure and geometric morphology.
- IVUS imaging if there are bubbles in the catheter, it will affect the image quality, so the catheter needs to be flushed to expel the bubbles in the catheter.
- the traditional method of flushing the catheter is to manually inject saline into the catheter through a syringe to expel the bubbles.
- This method requires medical staff to frequently manually inject, and the capacity of the syringe is small, and the syringe may need to be replaced multiple times, greatly reducing the efficiency of the operation. Because the water injection port is connected to the syringe, it cannot be sealed, which may cause blood to flow back into the catheter, affecting the imaging quality.
- the present application provides a catheter flushing control method.
- the method comprises:
- a characteristic value corresponding to the outer sheath image is obtained; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image;
- the characteristic value and the characteristic threshold are compared to obtain a comparison result, and the flushing device is controlled to flush the cardiovascular catheter according to the comparison result.
- obtaining an image of an outer sheath of a cardiovascular catheter includes:
- Ultrasound imaging is used to obtain cross-sectional images of intravascular catheters
- the cross-sectional image is processed by using a target detection algorithm to obtain a location area where the outer sheath tube of the intravascular catheter in the cross-sectional image is located, and an outer sheath tube image is obtained according to the location area.
- obtaining effective pixel points from the outer sheath image includes:
- a target pixel point is selected from all pixel points in the outer sheath image
- obtaining a target pixel point whose pixel value meets a preset condition as a valid pixel point includes:
- the target pixel is regarded as a valid pixel.
- target pixel points whose pixel values meet preset conditions are obtained as valid pixel points, including: sorting all target pixel points from large to small according to pixel value, removing a first preset number of target pixel points in the sorting, and removing a second preset number of target pixel points in the sorting, and taking the remaining target pixel points as valid pixel points.
- obtaining a characteristic value corresponding to the outer sheath image according to the number of valid pixels and the pixel value of each valid pixel includes:
- each effective pixel the sum of the effective pixel values of the outer sheath tube image is calculated
- the average value of effective pixels of the outer sheath image is calculated as the eigenvalue corresponding to the outer sheath image.
- the characteristic value and the characteristic threshold are compared to obtain a comparison result, and a flushing device is controlled to flush the cardiovascular catheter according to the comparison result, including:
- the flushing device is controlled to flush the cardiovascular catheter.
- the flushing device includes an infusion pump and a water bag, and the infusion pump flushes the intravascular catheter through the water bag.
- the flushing device includes a syringe pump, a push rod and a syringe, and the syringe pump flushes the cardiovascular catheter by controlling the push rod to push the syringe.
- obtaining the characteristic value corresponding to the outer sheath image includes: calculating the sum of the effective pixel values of the outer sheath image according to the pixel value D(x, y) i of each effective pixel, and calculating the effective pixel average value R of the outer sheath image as the characteristic value corresponding to the outer sheath image according to the number of effective pixels N and the sum of the effective pixel values by the following formula,
- the method further comprises:
- the characteristic value is an average value of a plurality of characteristic values corresponding to the plurality of outer sheath images.
- the present application also provides a catheter flushing control device.
- the device comprises:
- An acquisition module used for acquiring an image of an outer sheath of a cardiovascular catheter
- a detection module used for obtaining effective pixel points from the outer sheath image
- a calculation module used for obtaining a characteristic value corresponding to the outer sheath image according to the number of effective pixels and the pixel value of each effective pixel; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image;
- the control module is used to compare the characteristic value with the characteristic threshold value to obtain a comparison result, and control the flushing device to flush the cardiovascular catheter according to the comparison result.
- the present application further provides a computer device.
- the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:
- a characteristic value corresponding to the outer sheath image is obtained; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image;
- the characteristic value and the characteristic threshold are compared to obtain a comparison result, and the flushing device is controlled to flush the cardiovascular catheter according to the comparison result.
- the present application further provides a computer-readable storage medium.
- the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:
- the features corresponding to the outer sheath image are obtained. Value; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image;
- the characteristic value and the characteristic threshold are compared to obtain a comparison result, and the flushing device is controlled to flush the cardiovascular catheter according to the comparison result.
- the present application further provides a computer program product.
- the computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:
- a characteristic value corresponding to the outer sheath image is obtained; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image;
- the characteristic value and the characteristic threshold are compared to obtain a comparison result, and the flushing device is controlled to flush the cardiovascular catheter according to the comparison result.
- the catheter flushing control method, device, computer equipment, storage medium and computer program product described above obtain an outer sheath image of a cardiovascular catheter; obtain valid pixels from the outer sheath image; obtain a characteristic value corresponding to the outer sheath image based on the number of valid pixels and the pixel value of each valid pixel; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image; the characteristic value is compared with the characteristic threshold to obtain a comparison result, and the flushing device is controlled to flush the cardiovascular catheter based on the comparison result.
- the completeness of the ultrasonic imaging of the outer sheath image can be judged based on the characteristic value of the outer sheath image. When the completeness of the ultrasonic imaging of the outer sheath image is not good, the flushing device is automatically controlled to flush the cardiovascular catheter, thereby improving the quality of medical imaging.
- FIG. 1 is a diagram showing an application environment of a catheter flushing control method in an embodiment of the present application.
- FIG. 2 is a flow chart of a catheter flushing control method in one embodiment of the present application.
- FIG. 3 is a schematic diagram of an image of an outer sheath tube in one embodiment of the present application.
- FIG. 4 is a structural block diagram of a catheter flushing control system in an embodiment of the present application.
- FIG. 5 is a structural block diagram of a catheter flushing control system in another embodiment of the present application.
- FIG. 6 is a structural block diagram of a catheter flushing control device in an embodiment of the present application.
- FIG. 7 is a diagram showing the internal structure of a computer device in one embodiment of the present application.
- the catheter flushing control method provided in the embodiment of the present application can be applied in the application environment as shown in Figure 1.
- the computer device 102 communicates with the flushing device 104 via wired or wireless communication.
- the data storage system can store the data that the computer device 102 needs to process.
- the data storage system can be integrated on the computer device 102, or it can be placed on the cloud or other network servers.
- the computer device 102 can be a terminal or a server.
- the terminal can be but is not limited to various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices.
- the Internet of Things device can be a smart speaker, a smart TV, a smart air conditioner, a smart car-mounted device, etc.
- the portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc.
- the server can be implemented as an independent server or a server cluster consisting of multiple servers.
- a catheter flushing control method is provided, and the method is applied to the computer device 102 in FIG. 1 as an example for description, including the following steps:
- Step 202 Acquire an image of the outer sheath of the cardiovascular catheter.
- a computer device obtains a cross-sectional image of a cardiovascular catheter through IVUS technology, and then preprocesses the cross-sectional image to select the area where the outer sheath of the catheter is located in the cross-sectional image, removes the cross-sectional area of the blood vessel that does not contain the outer sheath, and obtains an outer sheath image.
- IVUS refers to a medical imaging technology that combines non-invasive ultrasound technology with invasive catheter technology, using a special catheter with an ultrasound probe connected to the end.
- Intravascular ultrasound is a method of placing a miniaturized ultrasound transducer into the cardiovascular cavity through a cardiac catheter to display the cross-sectional morphology and (or) blood flow patterns of the cardiovascular system, mainly including ultrasound imaging technology and Doppler blood flow measurement.
- This technology allows ultrasound technology, such as piezoelectric conduction or ultrasound sensors, to be used to examine the condition of the inner wall of the blood vessel.
- Step 204 obtaining effective pixel points from the outer sheath image.
- the computer device can directly obtain the pixel value of each pixel in the outer sheath image, and then select the pixel points whose pixel values meet the preset conditions from all the pixels as valid pixels; or all the pixels in the outer sheath image can be screened first, and then the pixel points whose pixel values meet the preset conditions are selected from the selected pixels as valid pixels. Normally, valid pixels whose pixel values meet the preset conditions are selected, and invalid pixels whose pixel values do not meet the preset conditions are removed. The purpose is to remove pixels in the outer sheath image with obvious deviations and errors in pixel values. A normal range of pixel values can be set in advance.
- the pixel value of a pixel is within the normal range, it is judged that the pixel meets the preset conditions; if the pixel value of a pixel is not within the normal range, it is judged that the pixel meets the preset conditions; range, it is determined that the pixel does not meet the preset condition.
- Step 206 acquiring a characteristic value corresponding to the outer sheath image according to the number of effective pixels and the pixel value of each effective pixel; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image.
- the computer device accumulates the pixel value of each selected valid pixel point, calculates the sum of the valid pixel point values, and calculates the effective pixel point average value according to the number of selected valid pixels and the sum of the effective pixel point values as the characteristic value corresponding to the outer sheath image.
- the effective pixel point average value can characterize the ultrasonic imaging completeness of the outer sheath image. The larger the effective pixel point average value, the stronger the ultrasonic imaging signal and the higher the ultrasonic imaging completeness of the outer sheath image. On the contrary, the smaller the effective pixel point average value, the weaker the ultrasonic imaging signal and the lower the ultrasonic imaging completeness of the outer sheath image.
- the outer sheath of the catheter has a certain reflectivity to ultrasound.
- the imaging signal in the radial direction is stronger, and the characteristic value corresponding to the outer sheath image will be larger, and a more complete outer sheath shape 301 can be identified during ultrasonic imaging.
- the imaging signal in the radial direction will weaken, the characteristic value corresponding to the outer sheath image will be smaller, and the ultrasonic imaging of the outer sheath will also weaken, and an incomplete outer sheath shape 302 will be identified during ultrasonic imaging.
- Step 208 comparing the characteristic value with the characteristic threshold to obtain a comparison result, and controlling the flushing device to flush the cardiovascular catheter according to the comparison result.
- the characteristic threshold can be determined according to a complete outer sheath sample image of ultrasonic imaging.
- a characteristic threshold is pre-configured in the computer device, and when the characteristic value corresponding to the outer sheath image is calculated, the characteristic value and the characteristic threshold are compared in real time; when the characteristic value is less than the characteristic threshold, it means that the imaging signal of the current outer sheath image is weak, and there are a large number of bubbles or large bubbles in the catheter, and the computer device sends a flushing instruction to the flushing device to instruct the flushing device to flush the cardiovascular catheter.
- an image of the outer sheath of the cardiovascular catheter is obtained; valid pixels are obtained from the outer sheath image; characteristic values corresponding to the outer sheath image are obtained according to the number of valid pixels and the pixel value of each valid pixel; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image; the characteristic value is compared with the characteristic threshold to obtain a comparison result, and the flushing device is controlled to flush the cardiovascular catheter according to the comparison result.
- the method in this embodiment can judge the completeness of the ultrasonic imaging of the outer sheath image according to the characteristic value of the outer sheath image, and automatically control the flushing device to flush the cardiovascular catheter when the completeness of the ultrasonic imaging of the outer sheath image is not good, thereby improving the quality of medical imaging.
- the step of obtaining an image of the outer sheath of the cardiovascular catheter comprises: obtaining an image of the outer sheath of the cardiovascular catheter by ultrasonic imaging.
- a cross-sectional image of an intravascular catheter processing the cross-sectional image with a target detection algorithm to obtain a location area where an outer sheath of the catheter is located in the cross-sectional image, and obtaining an outer sheath image based on the location area.
- a computer device obtains a cross-sectional image of a cardiovascular catheter through IVUS technology, and then uses a target detection algorithm to process the cross-sectional image.
- the target detection algorithm may select an ROI region detection algorithm.
- the cross-sectional image is processed to obtain the ROI region where the outer sheath of the catheter in the cross-sectional image is located, and the outer sheath image is obtained based on the ROI region.
- ROI Region of Interest
- the region of interest can also be called the region of interest.
- the area to be processed is outlined from the processed image in the form of a box, circle, ellipse, irregular polygon, etc., which is called ROI.
- Various operators and functions are often used in machine vision software such as Halcon, OpenCV, and Matlab to obtain the region of interest ROI and perform the next step of image processing.
- the region of interest is an image area selected from an image, which is the focus of subsequent image analysis.
- ultrasonic imaging is used to obtain a cross-sectional image of a cardiovascular catheter; a target detection algorithm is used to process the cross-sectional image to obtain a location region where the outer sheath of the catheter is located in the cross-sectional image, and an outer sheath image is obtained based on the location region.
- the method in this embodiment can delineate the outer sheath region of the catheter for further processing, which can reduce the processing time of subsequent image analysis and increase accuracy.
- the step of obtaining valid pixels from the outer sheath image includes: selecting target pixels from all pixels in the outer sheath image according to a preset pixel interval; obtaining target pixels whose pixel values meet preset conditions as valid pixels.
- the computer device first selects a part of pixel points from all pixel points in the outer sheath image according to a preset pixel interval, and uses this part of pixel points as target pixel points, and then judges the pixel value of each target pixel point, and selects the target pixel points whose pixel values meet the preset conditions from the target pixel points as valid pixel points.
- pixels are selected from all pixels in the outer sheath image, and the selected pixels are used as target pixels; the pixel value of each target pixel is obtained; and the target pixel whose pixel value meets the preset conditions is obtained as a valid pixel.
- the step of obtaining target pixel points whose pixel values meet preset conditions as valid pixel points includes: if the pixel value of the target pixel point is within a preset pixel range, the target pixel point is used as a valid pixel point; or, all target pixel points are sorted from large to small according to the pixel value, and the first preset number of target pixel points in the sorting are removed, and the second preset number of target pixel points in the sorting are removed, and the remaining target pixel points are used as valid pixel points.
- the preset condition may be a preset pixel range, and the pixel value of the target pixel point is within The preset pixel range is within the preset pixel range, then the pixel value of the target pixel satisfies the preset condition.
- the preset condition can also be a pixel value size comparison method, in which all target pixels are sorted from large to small according to pixel value, and the target pixel in the middle of the sort is taken as the valid pixel, that is, the first preset number of target pixels with the largest pixel value in the sort are removed, and the second preset number of target pixels with the smallest pixel value in the sort are removed, and the remaining target pixels are taken as the valid pixel.
- the target pixel is taken as a valid pixel; or, all target pixels are sorted from large to small according to the pixel value, the first preset number of target pixels in the sorting are removed, and the second preset number of target pixels in the sorting are removed, and the remaining target pixels are taken as valid pixels.
- the method in this embodiment can remove pixels with obvious errors in the pixel values of the target pixels, and retain valid pixels with relatively accurate pixel values, thereby improving the accuracy of image analysis, thereby ensuring the control effect of catheter flushing.
- the step of obtaining the characteristic value corresponding to the outer sheath image according to the number of effective pixels and the pixel value of each effective pixel includes: calculating the sum of the effective pixel values of the outer sheath image according to the pixel value of each effective pixel; calculating the average value of the effective pixels of the outer sheath image according to the number of effective pixels and the sum of the effective pixel values as the characteristic value corresponding to the outer sheath image.
- the computer device obtains the pixel value of each valid pixel in the outer sheath image as D(x,y) i , the number of valid pixels is N, and calculates the characteristic value R of the outer sheath image according to the following formula:
- the sum of the effective pixel values of the outer sheath image is calculated according to the pixel value of each effective pixel; the average value of the effective pixels of the outer sheath image is calculated according to the number of effective pixels and the sum of the effective pixel values as the eigenvalue corresponding to the outer sheath image.
- the method in the embodiment can judge the completeness of the ultrasonic imaging of the outer sheath image according to the eigenvalue.
- the characteristic value is compared with the characteristic threshold to obtain a comparison result
- the step of controlling the flushing device to flush the cardiovascular catheter according to the comparison result includes: if the characteristic value is less than the characteristic threshold, controlling the flushing device to flush the cardiovascular catheter.
- a characteristic threshold ⁇ is preset in the computer device, and the characteristic value R of the calculated outer sheath image is compared with the characteristic threshold ⁇ .
- the flushing device if the characteristic value is less than the characteristic threshold, the flushing device is controlled to flush the cardiovascular catheter.
- the integrity of the ultrasonic imaging of the outer sheath image can be judged according to the characteristic value of the outer sheath image.
- the flushing device is automatically controlled to flush the cardiovascular catheter, which can improve the quality of medical imaging.
- the flushing device includes an infusion pump and a water bag, and the infusion pump flushes the catheter through the water bag.
- the flushing device includes a controller, an infusion pump and a water bag.
- the controller is connected to the infusion pump and is used to control the infusion pump.
- One end of the infusion pump is connected to the catheter, and the other end of the infusion pump is connected to the water bag.
- the controller of the flushing device receives the flushing instruction sent by the computer device, the controller controls the infusion pump to pump the flushing liquid from the water bag to flush the catheter.
- the infusion pump has a braking effect, which can effectively prevent blood reflux, and the imaging quality is better.
- the catheter flushing speed can be adjusted, and the catheter flushing speed can be intelligently adjusted according to the number or size of bubbles. For example, multiple feature thresholds can be set in the computer device. When the feature value is less than different feature thresholds, the computer device sends different flushing instructions to the controller, and the controller adjusts the catheter flushing speed of the infusion pump according to the flushing instruction.
- an infusion pump and a water bag are used as flushing equipment.
- the external water bag has a large amount of available water, and the overall structure of the equipment is simple, which is easy to use, clean and maintain.
- the flushing device includes a syringe pump, a push rod and a syringe; the syringe pump flushes the catheter by controlling the push rod to push the syringe.
- the flushing device includes a controller, a syringe pump, a push rod and a syringe.
- the controller is connected to the syringe pump for controlling the syringe pump.
- the syringe pump is connected to one end of the push rod, the other end of the push rod is connected to the control end of the syringe, and the injection end of the syringe is connected to the catheter.
- the controller of the flushing device receives the flushing instruction sent by the computer device, the controller controls the syringe pump to control the movement of the push rod, and the push rod pushes the syringe to flush the catheter.
- the syringe pump has a braking effect, can effectively prevent blood reflux, has better imaging quality, and can adjust the catheter flushing speed, and can intelligently adjust the catheter flushing speed according to the number or size of bubbles.
- multiple feature thresholds can be set in the computer device. When the feature value is less than different feature thresholds, the computer device sends different flushing instructions to the controller, and the controller adjusts the catheter flushing speed of the syringe pump according to the flushing instruction.
- a syringe pump, a push rod and a push syringe are used as flushing equipment.
- the syringe has a strong flushing force and can provide a better flushing effect for catheter flushing.
- the method further comprises: obtaining multiple outer sheath images of the cardiovascular catheter; obtaining valid pixels from each outer sheath image; obtaining, according to the number of valid pixels and the pixel value of each valid pixel, The characteristic value corresponding to each outer sheath image; calculating the average value of the characteristic value corresponding to each outer sheath image to obtain the average characteristic value; comparing the average characteristic value with the characteristic threshold to obtain the average value comparison result, and controlling the flushing device to flush the cardiovascular catheter according to the average value comparison result.
- the outer sheath is a section of tube.
- the catheter will move back and forth in the blood vessel, so the ultrasonic imaging will obtain multiple blood vessel cross-sectional images, and also multiple outer sheath images.
- the eigenvalue of each outer sheath image can be calculated separately, and then the average eigenvalue of all outer sheath images obtained by ultrasonic imaging is calculated once.
- the computer device will send a flushing instruction to the flushing device to instruct the flushing device to flush the catheter in the cardiovascular system.
- a catheter flushing control method includes the following steps:
- Ultrasonic imaging is used to obtain a cross-sectional image of a cardiovascular catheter; a target detection algorithm is used to process the cross-sectional image to obtain a location area where the outer sheath of the catheter is located in the cross-sectional image, and an outer sheath image is obtained based on the location area.
- pixels are selected from all pixels in the outer sheath image, and the selected pixels are used as target pixels; the pixel value of each target pixel is obtained; if the pixel value of the target pixel is within a preset pixel range, the target pixel is used as a valid pixel; or, all target pixels are sorted from large to small according to the pixel value, the first preset number of target pixels in the sorting are removed, and the second preset number of target pixels in the sorting are removed, and the remaining target pixels are used as valid pixels.
- the sum of the effective pixel values of the outer sheath image is calculated; according to the number of effective pixels and the sum of the effective pixel values, the average value of the effective pixels of the outer sheath image is calculated as the eigenvalue corresponding to the outer sheath image.
- the flushing device is controlled to flush the cardiovascular catheter.
- the flushing device may be an infusion pump and a water bag, wherein the infusion pump flushes the catheter through the water bag.
- the flushing device may also be an injection pump, a push rod and a syringe, wherein the injection pump flushes the catheter by controlling the push rod to push the syringe.
- a catheter flushing control system is also provided. As shown in FIG. 4 , the system includes: a host 401 , a controller 402 , an infusion pump 403 and a water bag 404 .
- the host 401 and the controller 402 establish communication.
- the controller 402 is connected to the infusion pump 403 for controlling the infusion pump 403.
- One end of the infusion pump 403 is connected to the catheter 400, and the other end of the infusion pump 403 is connected to the water bag 404.
- the host 401 uses ultrasonic imaging to obtain a cross-sectional image of the cardiovascular catheter 400; uses a target detection algorithm to process the cross-sectional image to obtain a position area where the outer sheath of the catheter is located in the cross-sectional image, and obtains an outer sheath image based on the position area; selects pixels from all pixels in the outer sheath image according to a preset pixel interval, and uses the selected pixels as target pixels; obtains the pixel value of each target pixel; if the pixel value of the target pixel is within a preset pixel range, uses the target pixel as a valid pixel; or, selects all target pixels in descending order of pixel value.
- Sorting is performed, removing the first preset number of target pixels in the sorting, and removing the second preset number of target pixels in the sorting, and taking the remaining target pixels as valid pixels; according to the pixel value of each valid pixel, the sum of the valid pixel values of the outer sheath image is calculated; according to the number of valid pixels and the sum of the valid pixel values, the average value of the valid pixels of the outer sheath image is calculated as the characteristic value corresponding to the outer sheath image. If the characteristic value is less than the characteristic threshold, a flushing instruction is sent to the controller 402.
- the controller 402 After the controller 402 receives the flushing instruction sent by the host 401 , the controller 402 controls the infusion pump 403 to pump the flushing liquid from the water bag 404 to flush the catheter 400 .
- a catheter flushing control system includes: a host 501 , a controller 502 , a syringe pump 503 , a push rod 504 and a syringe 505 .
- the host 501 and the controller 502 establish communication.
- the controller 502 is connected to the syringe pump 503 for controlling the syringe pump 503.
- the syringe pump 503 is connected to one end of the push rod 504, and the other end of the push rod 504 is connected to the control end of the syringe 505, and the injection end of the syringe 505 is connected to the catheter 500.
- the host 501 uses ultrasonic imaging to obtain a cross-sectional image of the cardiovascular catheter 500; uses a target detection algorithm to process the cross-sectional image to obtain the location area where the outer sheath of the catheter is located in the cross-sectional image, and obtains the outer sheath image according to the location area.
- the preset pixel interval select pixels from all pixels in the outer sheath image, and use the selected pixels as target pixels; obtain the pixel value of each target pixel; if the pixel value of the target pixel is within the preset pixel range, use the target pixel as a valid pixel; or, sort all target pixels from large to small according to the pixel value, remove the first preset number of target pixels in the sorting, and remove the second preset number of target pixels in the sorting, and use the remaining target pixels as valid pixels; calculate the sum of the effective pixel values of the outer sheath image according to the pixel value of each valid pixel; calculate the average value of the effective pixels of the outer sheath image according to the number of valid pixels and the sum of the effective pixel values, as the eigenvalue corresponding to the outer sheath image. If the eigenvalue is less than the eigenvalue threshold, send a flushing instruction to the controller 502.
- the controller 502 After the controller 502 receives the flushing instruction sent by the host 501 , the controller controls the syringe pump 503 to control the push rod 504 to move, and the push rod 504 pushes the syringe 505 to flush the catheter 500 .
- steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.
- the embodiment of the present application also provides a catheter flushing control device for implementing the catheter flushing control method involved above.
- the implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more catheter flushing control device embodiments provided below can refer to the limitations of the catheter flushing control method above, and will not be repeated here.
- a catheter flushing control device 600 comprising: an acquisition module 601, a detection module 602, a calculation module 603 and a control module 604, wherein:
- the acquisition module 601 is used to acquire the image of the outer sheath of the cardiovascular catheter.
- the detection module 602 is used to obtain valid pixel points from the outer sheath image.
- the calculation module 603 is used to obtain the characteristic value corresponding to the outer sheath image according to the number of effective pixels and the pixel value of each effective pixel; the characteristic value is used to characterize the completeness of the ultrasonic imaging of the outer sheath image.
- the control module 604 is used to compare the characteristic value with the characteristic threshold value to obtain a comparison result, and control the flushing device to flush the cardiovascular catheter according to the comparison result.
- the acquisition module 601 is also used to acquire a cross-sectional image of a cardiovascular catheter using ultrasonic imaging; the cross-sectional image is processed using a target detection algorithm to obtain a position area where the outer sheath of the catheter is located in the cross-sectional image, and an outer sheath image is obtained based on the position area.
- the detection module 602 is also used to select target pixels from all pixels in the outer sheath image according to a preset pixel interval; obtain the pixel value of each target pixel; and obtain the target pixel whose pixel value meets the preset conditions as a valid pixel.
- the detection module 602 is also used to treat the target pixel as a valid pixel if the pixel value of the target pixel is within a preset pixel range; or, to sort all target pixel values from large to small, remove the first preset number of target pixel points in the sorting, and remove the second preset number of target pixel points in the sorting, and treat the remaining target pixel points as valid pixels.
- the calculation module 603 is also used to calculate the sum of the effective pixel values of the outer sheath image according to the pixel value of each effective pixel; and calculate the average value of the effective pixels of the outer sheath image according to the number of effective pixels and the sum of the effective pixel values as the characteristic value corresponding to the outer sheath image.
- control module 604 is further configured to control the flushing device to flush the intravascular catheter if the characteristic value is less than the characteristic threshold.
- the flushing device includes an infusion pump and a water bag, and the infusion pump flushes the catheter through the water bag.
- the flushing device includes a syringe pump, a push rod and a syringe, and the syringe pump flushes the catheter by controlling the push rod to push the syringe.
- the acquisition module 601 is further used to acquire multiple outer sheath images of the cardiovascular catheter.
- the detection module 602 is also used to obtain valid pixel points from each outer sheath image.
- the calculation module 603 is also used to obtain the characteristic value corresponding to each outer sheath image according to the number of effective pixels and the pixel value of each effective pixel; calculate the average value of the characteristic value corresponding to each outer sheath image to obtain the average characteristic value.
- the control module 604 is further used to compare the average characteristic value with the characteristic threshold value to obtain an average comparison result, and control the flushing device to flush the cardiovascular catheter according to the average comparison result.
- Each module in the catheter flushing control device can be implemented in whole or in part by software, hardware, or a combination thereof.
- Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.
- a computer device which may be a server, and its internal structure diagram may be shown in FIG7.
- the computer device includes a processor, a memory, an input/output interface (I/O for short) and a communication interface.
- the processor, the memory and the input/output interface are connected via a system bus, and the communication interface is connected to the system bus via the input/output interface.
- the processor of the computer device is used to provide computing and control capabilities.
- the memory of the computer device includes a non-volatile storage medium and an internal memory.
- the non-volatile storage medium stores an operating system, a computer program and a database.
- the internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium.
- the database of the computer device is used to store image data.
- the input/output interface of the computer device is used to exchange information between the processor and an external device.
- the communication interface of the computer device is used to communicate with an external terminal via a network connection.
- FIG. 7 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied.
- the specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.
- a computer device including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the following steps when executing the computer program: obtaining an image of an outer sheath tube of an intravascular catheter; obtaining valid pixels from the outer sheath tube image; obtaining a characteristic value corresponding to the outer sheath tube image based on the number of valid pixels and the pixel value of each valid pixel; the characteristic value is used to characterize the completeness of ultrasonic imaging of the outer sheath tube image; the characteristic value is compared with a characteristic threshold to obtain a comparison result, and a flushing device is controlled to flush the intravascular catheter based on the comparison result.
- the processor when the processor executes the computer program, the following steps are also implemented: using ultrasonic imaging to obtain a cross-sectional image of the cardiovascular catheter; using a target detection algorithm to process the cross-sectional image to obtain a position area where the outer sheath of the catheter is located in the cross-sectional image, and obtaining an outer sheath image based on the position area.
- the processor when the processor executes the computer program, the following steps are further implemented: according to a preset pixel interval, Select target pixel points from all pixel points in the outer sheath image; obtain the pixel value of each target pixel point; obtain the target pixel points whose pixel value meets the preset conditions as valid pixel points.
- the processor further implements the following steps when executing the computer program: if the pixel value of the target pixel is within a preset pixel range, the target pixel is used as a valid pixel; alternatively, all target pixel values are sorted from large to small according to pixel value, the first preset number of target pixel points in the sort are removed, and the second preset number of target pixel points in the sort are removed, and the remaining target pixel points are used as valid pixel points.
- the processor executes the computer program, the following steps are also implemented: based on the pixel value of each valid pixel, the sum of the valid pixel values of the outer sheath image is calculated; based on the number of valid pixels and the sum of the valid pixel values, the average value of the valid pixels of the outer sheath image is calculated as the characteristic value corresponding to the outer sheath image.
- the processor executes the computer program, the following steps are further implemented: if the characteristic value is less than the characteristic threshold, controlling the flushing device to flush the intra-cardiovascular catheter.
- the flushing device includes an infusion pump and a water bag, and the infusion pump flushes the catheter through the water bag.
- the flushing device includes a syringe pump, a push rod and a syringe, and the syringe pump flushes the catheter by controlling the push rod to push the syringe.
- the processor also implements the following steps when executing the computer program: obtaining multiple outer sheath images of the cardiovascular catheter; obtaining valid pixel points from each outer sheath image; obtaining the characteristic value corresponding to each outer sheath image based on the number of valid pixel points and the pixel value of each valid pixel point; calculating the average value of the characteristic value corresponding to each outer sheath image to obtain the average characteristic value; comparing the average characteristic value with the characteristic threshold to obtain the average value comparison result, and controlling the flushing device to flush the cardiovascular catheter according to the average value comparison result.
- a computer-readable storage medium on which a computer program is stored.
- the following steps are implemented: obtaining an image of an outer sheath tube of an intravascular catheter; obtaining valid pixels from the outer sheath tube image; obtaining a characteristic value corresponding to the outer sheath tube image based on the number of valid pixels and the pixel value of each valid pixel; the characteristic value is used to characterize the completeness of ultrasonic imaging of the outer sheath tube image; comparing the characteristic value with a characteristic threshold to obtain a comparison result, and controlling a flushing device to flush the intravascular catheter based on the comparison result.
- the following steps are also implemented: using ultrasonic imaging to obtain a cross-sectional image of the cardiovascular catheter; using a target detection algorithm to process the cross-sectional image to obtain a position area where the outer sheath of the catheter is located in the cross-sectional image, and obtaining an outer sheath image based on the position area.
- the following steps are also implemented: selecting target pixels from all pixels in the outer sheath image according to a preset pixel interval; obtaining the pixel value of each target pixel; obtaining the target pixel whose pixel value meets the preset conditions as the valid pixel.
- the following steps are further implemented: if the pixel of the target pixel point If the point value is within a preset pixel range, the target pixel point is taken as a valid pixel point; alternatively, all target pixel points are sorted from large to small according to the pixel point value, and the first preset number of target pixel points in the sorting are removed, as well as the second preset number of target pixel points in the sorting are removed, and the remaining target pixel points are taken as valid pixel points.
- the following steps are also implemented: based on the pixel value of each valid pixel, the sum of the valid pixel values of the outer sheath image is calculated; based on the number of valid pixels and the sum of the valid pixel values, the average value of the valid pixels of the outer sheath image is calculated as the eigenvalue corresponding to the outer sheath image.
- the following steps are further implemented: if the characteristic value is less than the characteristic threshold, controlling the flushing device to flush the intra-cardiovascular catheter.
- the flushing device includes an infusion pump and a water bag, and the infusion pump flushes the catheter through the water bag.
- the flushing device includes a syringe pump, a push rod and a syringe, and the syringe pump flushes the catheter by controlling the push rod to push the syringe.
- the following steps are also implemented: obtaining multiple outer sheath images of the cardiovascular catheter; obtaining valid pixels from each outer sheath image; obtaining characteristic values corresponding to each outer sheath image based on the number of valid pixels and the pixel value of each valid pixel; calculating the average value of the characteristic values corresponding to each outer sheath image to obtain an average characteristic value; comparing the average characteristic value with the characteristic threshold to obtain an average comparison result, and controlling the flushing device to flush the cardiovascular catheter based on the average comparison result.
- a computer program product including a computer program, which implements the following steps when executed by a processor: obtaining an image of an outer sheath of an intravascular catheter; obtaining valid pixels from the outer sheath image; obtaining a characteristic value corresponding to the outer sheath image based on the number of valid pixels and the pixel value of each valid pixel; the characteristic value is used to characterize the completeness of ultrasonic imaging of the outer sheath image; the characteristic value is compared with a characteristic threshold to obtain a comparison result, and a flushing device is controlled to flush the intravascular catheter based on the comparison result.
- the following steps are also implemented: using ultrasonic imaging to obtain a cross-sectional image of the cardiovascular catheter; using a target detection algorithm to process the cross-sectional image to obtain a position area where the outer sheath of the catheter is located in the cross-sectional image, and obtaining an outer sheath image based on the position area.
- the following steps are also implemented: if the pixel value of the target pixel is within a preset pixel range, the target pixel is used as a valid pixel; alternatively, all target pixel values are sorted from large to small according to pixel value, a first preset number of target pixel points in the sort are removed, and a second preset number of target pixel points in the sort are removed, and the remaining target pixel points are used as valid pixel points.
- the following steps are also implemented: based on the pixel value of each valid pixel, the sum of the valid pixel values of the outer sheath image is calculated; based on the number of valid pixels and the sum of the valid pixel values, the average value of the valid pixels of the outer sheath image is calculated as the eigenvalue corresponding to the outer sheath image.
- the following steps are further implemented: if the characteristic value is less than the characteristic threshold, controlling the flushing device to flush the intra-cardiovascular catheter.
- the flushing device includes an infusion pump and a water bag, and the infusion pump flushes the catheter through the water bag.
- the flushing device includes a syringe pump, a push rod and a syringe, and the syringe pump flushes the catheter by controlling the push rod to push the syringe.
- the following steps are also implemented: obtaining multiple outer sheath images of the cardiovascular catheter; obtaining valid pixels from each outer sheath image; obtaining characteristic values corresponding to each outer sheath image based on the number of valid pixels and the pixel value of each valid pixel; calculating the average value of the characteristic values corresponding to each outer sheath image to obtain an average characteristic value; comparing the average characteristic value with the characteristic threshold to obtain an average comparison result, and controlling the flushing device to flush the cardiovascular catheter based on the average comparison result.
- user information including but not limited to user device information, user personal information, etc.
- data including but not limited to data used for analysis, stored data, displayed data, etc.
- any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory.
- Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc.
- Volatile memory can include random access memory (RAM) or external cache memory, etc.
- RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).
- SRAM static random access memory
- DRAM dynamic random access memory
- the database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database.
- the non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto.
- the processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics card, or a graphics card. Shape processors, digital signal processors, programmable logic devices, data processing logic devices based on quantum computing, etc., but are not limited to these.
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Abstract
本申请涉及一种导管冲刷控制方法、装置、计算机设备、存储介质。所述方法包括：获取心血管内导管的外鞘管图像；从外鞘管图像中，获取像素点值满足预设条件的有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。采用本方法能够根据外鞘管图像的特征值判断外鞘管图像的超声波成像完整程度，在外鞘管图像的超声波成像完整程度不佳的情况下，自动控制冲刷设备对心血管内导管进行冲刷，提高医学成像质量。
Description
相关申请
本申请要求2022年11月17日申请的，申请号为202211442257.3，名称为“导管冲刷控制方法、装置、计算机设备、存储介质”的中国专利申请的优先权，在此将其全文引入作为参考。
本申请涉及自动化技术领域，尤其涉及一种导管冲刷控制方法、装置、计算机设备、存储介质和计算机程序产品。
全球范围内，心脑血管疾病已经成为了威胁人类健康的主要疾病之一，冠状动脉粥样硬化是心脑血管疾病的主要病因。血管内超声(intravascular ultrasound，IVUS)是当前诊断心脑血管疾病的主要影像学技术。
IVUS是临床常用的诊断血管病变的一种介入成像技术，它将一微型高频超声探头置于心导管顶端，利用心导管将超声探头导入血管腔内进行探测，再经电子成像系统来显示血管组织结构和几何形态的微细解剖信息。在IVUS成像时，若导管内有气泡，就会影响图像质量，所以需要冲刷导管，将导管内的气泡排出。传统冲刷导管的方法是通过注射器手动往导管内注入生理盐水将气泡排出，这种方法需要医护人员频繁手动注射，而且注射器的容量小，可能需要多次更换注射器，大大降低的手术的效率。由于注水口连接着注射器，无法做到封死，可能导致血液回流到导管中的现象，影响到成像质量。
目前手动冲刷导管的技术方案，大大影响了医学成像质量。
发明内容
基于此，有必要针对上述技术问题，提供一种能够提高医学成像质量的导管冲刷控制方法、装置、计算机设备、计算机可读存储介质和计算机程序产品。
第一方面，本申请提供了一种导管冲刷控制方法。所述方法包括：
获取心血管内导管的外鞘管图像；
从外鞘管图像中，获取有效像素点；
根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；
将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
在其中一个实施例中，获取心血管内导管的外鞘管图像，包括：
采用超声波成像获取心血管内导管的横截面图像；
采用目标检测算法处理横截面图像，得到横截面图像中心血管内导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。
在其中一个实施例中，从外鞘管图像中，获取有效像素点，包括：
按照预设像素间隔，从外鞘管图像中所有像素点中选取目标像素点；
获取每个目标像素点的像素点值；
获取像素点值满足预设条件的目标像素点，作为有效像素点。
在其中一个实施例中，获取像素点值满足预设条件的目标像素点，作为有效像素点，包括：
若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点。
在其中一个实施例中，获取像素点值满足预设条件的目标像素点，作为有效像素点，包括：将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。
在其中一个实施例中，根据有效像素点数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值，包括：
根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；
根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。
在其中一个实施例中，将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷，包括：
若特征值小于特征阈值，控制冲刷设备对心血管内导管进行冲刷。
在其中一个实施例中，冲刷设备包括输液泵和水袋，输液泵通过水袋对心血管内导管进行冲刷。
在其中一个实施例中，冲刷设备包括注射泵、推杆和注射器，注射泵通过控制推杆推动注射器对心血管内导管进行冲刷。
在其中一个实施例中，根据所述有效像素点的数量以及每个有效像素点的像素点值，获取所述外鞘管图像对应的特征值包括：根据每个有效像素点的像素点值D(x,y)i，计算所述外鞘管图像的有效像素点值总和，根据所述有效像素点数量N和所述有效像素点值总和，通过以下公式计算所述外鞘管图像的有效像素点平均值R作为所述外鞘管图像对应的特征值，
在其中一个实施例中，方法还包括：
当获取心血管内导管的多张外鞘管图像时，所述特征值为多张外鞘管图像对应的多个特征值的平均值。
第二方面，本申请还提供了一种导管冲刷控制装置。所述装置包括：
获取模块，用于获取心血管内导管的外鞘管图像；
检测模块，用于从外鞘管图像中，获取有效像素点；
计算模块，用于根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；
控制模块，用于将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
第三方面，本申请还提供了一种计算机设备。所述计算机设备包括存储器和处理器，所述存储器存储有计算机程序，所述处理器执行所述计算机程序时实现以下步骤：
获取心血管内导管的外鞘管图像；
从外鞘管图像中，获取有效像素点；
根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；
将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
第四方面，本申请还提供了一种计算机可读存储介质。所述计算机可读存储介质，其上存储有计算机程序，所述计算机程序被处理器执行时实现以下步骤：
获取心血管内导管的外鞘管图像；
从外鞘管图像中，获取有效像素点；
根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征
值；特征值用于表征外鞘管图像的超声波成像完整程度；
将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
第五方面，本申请还提供了一种计算机程序产品。所述计算机程序产品，包括计算机程序，该计算机程序被处理器执行时实现以下步骤：
获取心血管内导管的外鞘管图像；
从外鞘管图像中，获取有效像素点；
根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；
将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
上述导管冲刷控制方法、装置、计算机设备、存储介质和计算机程序产品，获取心血管内导管的外鞘管图像；从外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。能够根据外鞘管图像的特征值判断外鞘管图像的超声波成像完整程度，在外鞘管图像的超声波成像完整程度不佳的情况下，自动控制冲刷设备对心血管内导管进行冲刷，提高医学成像质量。
图1为本申请一实施例中导管冲刷控制方法的应用环境图。
图2为本申请一实施例中导管冲刷控制方法的流程示意图。
图3为本申请一实施例中外鞘管图像示意图。
图4为本申请一实施例中导管冲刷控制系统的结构框图。
图5为本申请另一实施例中导管冲刷控制系统的结构框图。
图6为本申请一实施例中导管冲刷控制装置的结构框图。
图7为本申请一实施例中计算机设备的内部结构图。
为了便于理解本申请，下面将参照相关附图对本申请进行更全面的描述。附图中给出了本申请的实施例。但是，本申请可以以许多不同的形式来实现，并不限于本文所描述的
实施例。相反地，提供这些实施例的目的是使本申请的公开内容更加透彻全面。
除非另有定义，本文所使用的所有的技术和科学术语与属于本申请的技术领域的技术人员通常理解的含义相同。本文中在本申请的说明书中所使用的术语只是为了描述具体的实施例的目的，不是旨在于限制本申请。
本申请实施例提供的导管冲刷控制方法，可以应用于如图1所示的应用环境中。其中，计算机设备102通过有线或无线与冲刷设备104进行通信。数据存储系统可以存储计算机设备102需要处理的数据。数据存储系统可以集成在计算机设备102上，也可以放在云上或其他网络服务器上。计算机设备102可以是终端或服务器。其中，终端可以但不限于是各种个人计算机、笔记本电脑、智能手机、平板电脑、物联网设备和便携式可穿戴设备，物联网设备可为智能音箱、智能电视、智能空调、智能车载设备等。便携式可穿戴设备可为智能手表、智能手环、头戴设备等。服务器可以用独立的服务器或者是多个服务器组成的服务器集群来实现。
在一个实施例中，如图2所示，提供了一种导管冲刷控制方法，以该方法应用于图1中的计算机设备102为例进行说明，包括以下步骤：
步骤202，获取心血管内导管的外鞘管图像。
在可选的实施例中，计算机设备通过IVUS技术获取心血管内导管的横截面图像，然后采用对横截面图像进行预处理，选取横截面图像中导管的外鞘管所在的区域，去除不包含外鞘管的血管横截面区域，得到外鞘管图像。
其中，IVUS是指无创性的超声技术和有创性的导管技术相结合，使用末端连接有超声探针的特殊导管进行的医学成像技术。血管内超声是通过心导管将微型化的超声换能器置入心血管腔内，显示心血管断面形态和(或)血流图形，主要包括超声显像技术和多普勒血流测定两方面。这种技术使得超声技术，如压电传导或者超声传感器得以用于检查血管内壁的情况。
步骤204，从外鞘管图像中，获取有效像素点。
在可选的实施例中，计算机设备可以直接获取外鞘管图像中每一个像素点的像素点值，然后在所有像素点中，选取像素点值满足预设条件的像素点作为有效像素点；也可以先对外鞘管图像中所有的像素点进行筛选，然后在选出的部分像素点中，选取像素点值满足预设条件的像素点作为有效像素点。通常情况下，选取像素点值满足预设条件的有效像素点，去除像素点值不满足预设条件的无效像素点，目的是为了去除外鞘管图像中像素点值存在明显偏差、错误的像素点。可以预先设定一个像素点值正常范围，若一个像素点的像素点值处于正常范围时，则判断该像素点满足预设条件；若一个像素点的像素点值不处于正常
范围时，则判断该像素点不满足预设条件。
步骤206，根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度。
在可选的实施例中，计算机设备将选出的每一个有效像素点的像素点值进行累加，计算出有效像素点值总和，根据选出的有效像素点的数量和有效像素点值总和，计算有效像素点平均值，作为外鞘管图像对应的特征值。通过有效像素点平均值能够表征外鞘管图像的超声波成像完整程度，有效像素点平均值越大，说明超声波成像信号越强，外鞘管图像的超声波成像完整程度越高。反之，有效像素点平均值越小，说明超声波成像信号越弱，外鞘管图像的超声波成像完整程度越低。这是因为在IVUS技术中，导管外鞘对超声波具有一定的反射性，如图3所示，当导管内不存在气泡时，径向方向的成像信号较强，外鞘管图像对应的特征值就会较大，在超声波成像时可以识别到较完整的外鞘管形状301。当导管内存在气泡时，径向方向的成像信号就会变弱，外鞘管图像对应的特征值就会较小，外鞘管的超声波成像也会变弱，在超声波成像时就会识别到不完整的外鞘管形状302。通过识别外鞘管位置的图像信号是否变弱(外鞘管图像对应的特征值是否变小)就可以判断导管内是否有气泡，特征值越小，说明成像信号越弱，导管内存在的气泡数量就越多，或者气泡大小就越大。
步骤208，将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
其中，特征阈值可以根据超声波成像完整的外鞘管样本图像进行确定。
在可选的实施例中，计算机设备中预先配置一个特征阈值，当计算出外鞘管图像对应的特征值，实时将特征值和特征阈值进行对比；当特征值小于特征阈值时，说明当前外鞘管图像的成像信号较弱，导管中存在大量气泡或存在较大的气泡，计算机设备发送冲刷指令至冲刷设备，以指示冲刷设备对心血管内导管进行冲刷。
上述导管冲刷控制方法中，获取心血管内导管的外鞘管图像；从外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。该实施例中的方法能够根据外鞘管图像的特征值判断外鞘管图像的超声波成像完整程度，在外鞘管图像的超声波成像完整程度不佳的情况下，自动控制冲刷设备对心血管内导管进行冲刷，提高医学成像质量。
在一个实施例中，获取心血管内导管的外鞘管图像步骤包括：采用超声波成像获取心
血管内导管的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。
在可选的实施例中，计算机设备通过IVUS技术获取心血管内导管的横截面图像，然后采用目标检测算法处理横截面图像，目标检测算法可以选用ROI区域检测算法，通过ROI区域检测算法，处理横截面图像得到横截面图像中导管的外鞘管所在的ROI区域，根据ROI区域得到外鞘管图像。
其中，ROI(Region of Interest)又可以称为感兴趣区域。机器视觉、图像处理中，从被处理的图像以方框、圆、椭圆、不规则多边形等方式勾勒出需要处理的区域，称为ROI。在Halcon、OpenCV、Matlab等机器视觉软件上常用到各种算子(Operator)和函数来求得感兴趣区域ROI，并进行图像的下一步处理。在图像处理领域，感兴趣区域(ROI)是从图像中选择的一个图像区域，这个区域是后续图像分析所关注的重点。
本实施例中，采用超声波成像获取心血管内导管的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。该实施例中的方法能够圈定导管的外鞘管区域以便进行进一步处理，可以减少后续图像分析的处理时间，增加精度。
在一个实施例中，从外鞘管图像中，获取有效像素点步骤包括：按照预设像素间隔，从外鞘管图像中所有像素点中选取目标像素点；获取像素点值满足预设条件的目标像素点，作为有效像素点。
在可选的实施例中，计算机设备按照预设像素间隔，先从外鞘管图像中所有像素点中选取一部分像素点，将这一部分像素点作为目标像素点，然后再对每个目标像素点的像素点值进行判断，从目标像素点中选取像素点值满足预设条件的目标像素点作为有效像素点。
本实施例中，按照预设像素间隔，从外鞘管图像中所有像素点中选取像素点，将选取的像素点作为目标像素点；获取每个目标像素点的像素点值；获取像素点值满足预设条件的目标像素点，作为有效像素点。能够降低需要处理的像素点数量，可以减少后续图像分析的处理时间，提高整体运算效率。
在一个实施例中，获取像素点值满足预设条件的目标像素点，作为有效像素点步骤包括：若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。
在可选的实施例中，预设条件可以是一个预设像素范围，目标像素点的像素点值处于
预设像素范围，则该目标像素点的像素点值满足预设条件。预设条件也可以是一种像素值大小比较方式，将所有目标像素点按照像素点值由大到小进行排序，将排序处于中间位置的目标像素点作为有效像素点，也就是去除排序中像素点值最大的第一预设数量个目标像素点，同时去除排序中像素点值最小的第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。
本实施例中，若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。本实施例中的方法能够去除目标像素点中像素点值明显存在错误的像素点，保留像素点值较准确的有效像素点，由此能够提高图像分析的精确度，从而保证对导管冲刷的控制效果。
在一个实施例中，根据有效像素点数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值步骤包括：根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。
具体地，计算机设备获取到外鞘管图像中每个有效像素点的像素点值为D(x,y)i，有效像素点数量为N，根据以下公式计算外鞘管图像的特征值R：
本实施例中，根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。由此，实施例中的方法能够根据特征值判断外鞘管图像的超声波成像的完整程度。
在一个实施例中，将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷的步骤包括：若特征值小于特征阈值，控制冲刷设备对心血管内导管进行冲刷。
在可选的实施例中，计算机设备中预先设定特征阈值θ，将计算得到的外鞘管图像的特征值R和特征阈值θ进行对比，若生成冲刷指令并传输至冲刷设备，以指示冲刷设备对心血管内导管进行冲刷；若
则不生成冲刷指令。
本实施例中，若特征值小于特征阈值，控制冲刷设备对心血管内导管进行冲刷。能够根据外鞘管图像的特征值判断外鞘管图像的超声波成像完整程度，在外鞘管图像的超声波成像完整程度不佳的情况下，自动控制冲刷设备对心血管内导管进行冲刷，能够提高医学成像质量。
在一个实施例中，冲刷设备包括输液泵和水袋，输液泵通过水袋对导管进行冲刷。
具体地，冲刷设备包括控制器、输液泵和水袋。控制器与输液泵连接，用于控制输液泵。输液泵一端与导管相连，输液泵另一端与水袋相连。在冲刷设备的控制器接收到计算机设备发送的冲刷指令之后，控制器控制输液泵从水袋中泵取冲刷液对导管进行冲刷。输液泵具有制动效果，能有效的防止血液回流，成像质量更好，且可调节导管冲刷速度，可以根据气泡的数量或大小智能调节导管冲刷速度，例如，计算机设备中可以设置多个特征阈值，当特征值小于不同的特征阈值时，计算机设备发送不同的冲刷指令给控制器，控制器根据冲刷指令调节输液泵的导管冲刷速度。
本实施例中，采用输液泵和水袋作为冲刷设备，外接水袋，可用水量较大，且设备整体结构简单，便于使用、清理和维修。
在一个实施例中，冲刷设备包括注射泵、推杆和注射器；注射泵通过控制推杆推动注射器对导管进行冲刷。
具体地，冲刷设备包括控制器、注射泵、推杆和注射器。控制器与注射泵连接，用于控制注射泵。注射泵与推杆的一端相连，推杆的另一端与注射器的控制端相连，注射器的注射端与导管相连。在冲刷设备的控制器接收到计算机设备发送的冲刷指令之后，控制器控制注射泵控制推杆运动，推杆推动注射器对导管进行冲刷。注射泵具有制动效果，能有效的防止血液回流，成像质量更好，且可调节导管冲刷速度，可以根据气泡的数量或大小智能调节导管冲刷速度，例如，计算机设备中可以设置多个特征阈值，当特征值小于不同的特征阈值时，计算机设备发送不同的冲刷指令给控制器，控制器根据冲刷指令调节注射泵的导管冲刷速度。
本实施例中，采用注射泵、推杆和推动注射器作为冲刷设备，注射器具有较强的冲刷力度，能够为导管冲刷提供更好的冲刷效果。
在一个实施例中，该方法还包括：获取心血管内导管的多张外鞘管图像；从各外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取
各外鞘管图像对应的特征值；对各外鞘管图像对应的特征值计算平均值，得到平均特征值；将平均特征值和特征阈值进行对比，得到平均值对比结果，并根据平均值对比结果控制冲刷设备对心血管内导管进行冲刷。
在可选的实施例中，外鞘管为一段管，在实际的超声波成像过程中，导管在血管内会来回运动，因此超声波成像会得到多幅血管横截面图像，也就会得到多幅外鞘管图像，可以在计算特征值的过程中，分别计算每一幅外鞘管图像的特征值，然后计算一次超声波成像得到的所有外鞘管图像的平均特征值，只要平均特征值低于特征阈值，计算机设备即.发送冲刷指令至冲刷设备，以指示冲刷设备对心血管内导管进行冲刷。
在一个实施例中，一种导管冲刷控制方法，包括以下步骤：
采用超声波成像获取心血管内导管的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。
按照预设像素间隔，从外鞘管图像中所有像素点中选取像素点，将选取的像素点作为目标像素点；获取每个目标像素点的像素点值；若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。
根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。
若特征值小于特征阈值，控制冲刷设备对心血管内导管进行冲刷。
冲刷设备可以采用输液泵和水袋，输液泵通过水袋对导管进行冲刷。冲刷设备还可以采用注射泵、推杆和注射器，注射泵通过控制推杆推动注射器对导管进行冲刷。
在一个实施例中，还提供了一种导管冲刷控制系统，如图4所示，该系统包括：主机401、控制器402、输液泵403和水袋404。
主机401和控制器402之间建立通信。控制器402与输液泵403连接，用于控制输液泵403。输液泵403一端与导管400相连，输液泵403另一端与水袋404相连。
主机401采用超声波成像获取心血管内导管400的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像；按照预设像素间隔，从外鞘管图像中所有像素点中选取像素点，将选取的像素点作为目标像素点；获取每个目标像素点的像素点值；若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小
进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点；根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。若特征值小于特征阈值，发送冲刷指令至控制器402。
在控制器402接收到主机401发送的冲刷指令之后，控制器402控制输液泵403从水袋404中泵取冲刷液对导管400进行冲刷。
在另一个实施例中，还提供了一种导管冲刷控制系统，如图5所示，该系统包括：主机501、控制器502、注射泵503、推杆504和注射器505。
主机501和控制器502之间建立通信。控制器502与注射泵503连接，用于控制注射泵503。注射泵503与推杆504的一端相连，推杆504的另一端与注射器505的控制端相连，注射器505的注射端与导管500相连。
主机501采用超声波成像获取心血管内导管500的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。按照预设像素间隔，从外鞘管图像中所有像素点中选取像素点，将选取的像素点作为目标像素点；获取每个目标像素点的像素点值；若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点；根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。若特征值小于特征阈值，发送冲刷指令至控制器502。
在控制器502接收到主机501发送的冲刷指令之后，控制器控制注射泵503控制推杆504运动，推杆504推动注射器505对导管500进行冲刷。
应该理解的是，虽然如上所述的各实施例所涉及的流程图中的各个步骤按照箭头的指示依次显示，但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明，这些步骤的执行并没有严格的顺序限制，这些步骤可以以其它的顺序执行。而且，如上所述的各实施例所涉及的流程图中的至少一部分步骤可以包括多个步骤或者多个阶段，这些步骤或者阶段并不必然是在同一时刻执行完成，而是可以在不同的时刻执行，这些步骤或者阶段的执行顺序也不必然是依次进行，而是可以与其它步骤或者其它步骤中的步骤或者阶段的至少一部分轮流或者交替地执行。
基于同样的发明构思，本申请实施例还提供了一种用于实现上述所涉及的导管冲刷控制方法的导管冲刷控制装置。该装置所提供的解决问题的实现方案与上述方法中所记载的实现方案相似，故下面所提供的一个或多个导管冲刷控制装置实施例中的具体限定可以参见上文中对于导管冲刷控制方法的限定，在此不再赘述。
在本申请一个实施例中，如图6所示，提供了一种导管冲刷控制装置600，包括：获取模块601、检测模块602、计算模块603和控制模块604，其中：
获取模块601，用于获取心血管内导管的外鞘管图像。
检测模块602，用于从外鞘管图像中，获取有效像素点。
计算模块603，用于根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度。
控制模块604，用于将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，获取模块601还用于采用超声波成像获取心血管内导管的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。
在一个实施例中，检测模块602还用于按照预设像素间隔，从外鞘管图像中所有像素点中选取目标像素点；获取每个目标像素点的像素点值；获取像素点值满足预设条件的目标像素点，作为有效像素点。
在一个实施例中，检测模块602还用于若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。
在一个实施例中，计算模块603还用于根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。
在一个实施例中，控制模块604还用于若特征值小于特征阈值，控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，冲刷设备包括输液泵和水袋，输液泵通过水袋对导管进行冲刷。
在一个实施例中，冲刷设备包括注射泵、推杆和注射器，注射泵通过控制推杆推动注射器对导管进行冲刷。
在一个实施例中，获取模块601还用于获取心血管内导管的多张外鞘管图像。
检测模块602还用于从各外鞘管图像中，获取有效像素点。
计算模块603还用于根据有效像素点的数量以及每个有效像素点的像素点值，获取各外鞘管图像对应的特征值；对各外鞘管图像对应的特征值计算平均值，得到平均特征值。
控制模块604还用于将平均特征值和特征阈值进行对比，得到平均值对比结果，并根据平均值对比结果控制冲刷设备对心血管内导管进行冲刷。
上述导管冲刷控制装置中的各个模块可全部或部分通过软件、硬件及其组合来实现。上述各模块可以硬件形式内嵌于或独立于计算机设备中的处理器中，也可以以软件形式存储于计算机设备中的存储器中，以便于处理器调用执行以上各个模块对应的操作。
在一个实施例中，提供了一种计算机设备，该计算机设备可以是服务器，其内部结构图可以如图7所示。该计算机设备包括处理器、存储器、输入/输出接口(Input/Output，简称I/O)和通信接口。其中，处理器、存储器和输入/输出接口通过系统总线连接，通信接口通过输入/输出接口连接到系统总线。其中，该计算机设备的处理器用于提供计算和控制能力。该计算机设备的存储器包括非易失性存储介质和内存储器。该非易失性存储介质存储有操作系统、计算机程序和数据库。该内存储器为非易失性存储介质中的操作系统和计算机程序的运行提供环境。该计算机设备的数据库用于存储图像数据。该计算机设备的输入/输出接口用于处理器与外部设备之间交换信息。该计算机设备的通信接口用于与外部的终端通过网络连接通信。该计算机程序被处理器执行时以实现一种导管冲刷控制方法。
本领域技术人员可以理解，图7中示出的结构，仅仅是与本申请方案相关的部分结构的框图，并不构成对本申请方案所应用于其上的计算机设备的限定，具体的计算机设备可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。
在一个实施例中，提供了一种计算机设备，包括存储器和处理器，存储器中存储有计算机程序，该处理器执行计算机程序时实现以下步骤：获取心血管内导管的外鞘管图像；从外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：采用超声波成像获取心血管内导管的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：按照预设像素间隔，从
外鞘管图像中所有像素点中选取目标像素点；获取每个目标像素点的像素点值；获取像素点值满足预设条件的目标像素点，作为有效像素点。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：若特征值小于特征阈值，控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，冲刷设备包括输液泵和水袋，输液泵通过水袋对导管进行冲刷。
在一个实施例中，冲刷设备包括注射泵、推杆和注射器，注射泵通过控制推杆推动注射器对导管进行冲刷。
在一个实施例中，处理器执行计算机程序时还实现以下步骤：获取心血管内导管的多张外鞘管图像；从各外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取各外鞘管图像对应的特征值；对各外鞘管图像对应的特征值计算平均值，得到平均特征值；将平均特征值和特征阈值进行对比，得到平均值对比结果，并根据平均值对比结果控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，提供了一种计算机可读存储介质，其上存储有计算机程序，计算机程序被处理器执行时实现以下步骤：获取心血管内导管的外鞘管图像；从外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：采用超声波成像获取心血管内导管的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：按照预设像素间隔，从外鞘管图像中所有像素点中选取目标像素点；获取每个目标像素点的像素点值；获取像素点值满足预设条件的目标像素点，作为有效像素点。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：若目标像素点的像素
点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：若特征值小于特征阈值，控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，冲刷设备包括输液泵和水袋，输液泵通过水袋对导管进行冲刷。
在一个实施例中，冲刷设备包括注射泵、推杆和注射器，注射泵通过控制推杆推动注射器对导管进行冲刷。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：获取心血管内导管的多张外鞘管图像；从各外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取各外鞘管图像对应的特征值；对各外鞘管图像对应的特征值计算平均值，得到平均特征值；将平均特征值和特征阈值进行对比，得到平均值对比结果，并根据平均值对比结果控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，提供了一种计算机程序产品，包括计算机程序，该计算机程序被处理器执行时实现以下步骤：获取心血管内导管的外鞘管图像；从外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取外鞘管图像对应的特征值；特征值用于表征外鞘管图像的超声波成像完整程度；将特征值和特征阈值进行对比，得到对比结果，并根据对比结果控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：采用超声波成像获取心血管内导管的横截面图像；采用目标检测算法处理横截面图像，得到横截面图像中导管的外鞘管所在的位置区域，根据位置区域得到外鞘管图像。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：按照预设像素间隔，从外鞘管图像中所有像素点中选取目标像素点；获取每个目标像素点的像素点值；获取像素点值满足预设条件的目标像素点，作为有效像素点。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：若目标像素点的像素点值处于预设像素范围，将目标像素点作为有效像素点；或者，将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为有效像素点。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：根据每个有效像素点的像素点值，计算外鞘管图像的有效像素点值总和；根据有效像素点数量和有效像素点值总和，计算外鞘管图像的有效像素点平均值，作为外鞘管图像对应的特征值。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：若特征值小于特征阈值，控制冲刷设备对心血管内导管进行冲刷。
在一个实施例中，冲刷设备包括输液泵和水袋，输液泵通过水袋对导管进行冲刷。
在一个实施例中，冲刷设备包括注射泵、推杆和注射器，注射泵通过控制推杆推动注射器对导管进行冲刷。
在一个实施例中，计算机程序被处理器执行时还实现以下步骤：获取心血管内导管的多张外鞘管图像；从各外鞘管图像中，获取有效像素点；根据有效像素点的数量以及每个有效像素点的像素点值，获取各外鞘管图像对应的特征值；对各外鞘管图像对应的特征值计算平均值，得到平均特征值；将平均特征值和特征阈值进行对比，得到平均值对比结果，并根据平均值对比结果控制冲刷设备对心血管内导管进行冲刷。
需要说明的是，本申请所涉及的用户信息(包括但不限于用户设备信息、用户个人信息等)和数据(包括但不限于用于分析的数据、存储的数据、展示的数据等)，均为经用户授权或者经过各方充分授权的信息和数据，且相关数据的收集、使用和处理需要遵守相关国家和地区的相关法律法规和标准。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一非易失性计算机可读取存储介质中，该计算机程序在执行时，可包括如上述各方法的实施例的流程。其中，本申请所提供的各实施例中所使用的对存储器、数据库或其它介质的任何引用，均可包括非易失性和易失性存储器中的至少一种。非易失性存储器可包括只读存储器(Read-Only Memory，ROM)、磁带、软盘、闪存、光存储器、高密度嵌入式非易失性存储器、阻变存储器(ReRAM)、磁变存储器(Magnetoresistive Random Access Memory，MRAM)、铁电存储器(Ferroelectric Random Access Memory，FRAM)、相变存储器(Phase Change Memory，PCM)、石墨烯存储器等。易失性存储器可包括随机存取存储器(Random Access Memory，RAM)或外部高速缓冲存储器等。作为说明而非局限，RAM可以是多种形式，比如静态随机存取存储器(Static Random Access Memory，SRAM)或动态随机存取存储器(Dynamic Random Access Memory，DRAM)等。本申请所提供的各实施例中所涉及的数据库可包括关系型数据库和非关系型数据库中至少一种。非关系型数据库可包括基于区块链的分布式数据库等，不限于此。本申请所提供的各实施例中所涉及的处理器可为通用处理器、中央处理器、图
形处理器、数字信号处理器、可编程逻辑器、基于量子计算的数据处理逻辑器等，不限于此。
以上实施例的各技术特征可以进行任意的组合，为使描述简洁，未对上述实施例中的各个技术特征所有可能的组合都进行描述，然而，只要这些技术特征的组合不存在矛盾，都应当认为是本说明书记载的范围。
以上所述实施例仅表达了本申请的几种实施方式，其描述较为具体和详细，但并不能因此而理解为对本申请专利范围的限制。应当指出的是，对于本领域的普通技术人员来说，在不脱离本申请构思的前提下，还可以做出若干变形和改进，这些都属于本申请的保护范围。因此，本申请的保护范围应以所附权利要求为准。
Claims (14)
- 一种导管冲刷控制方法，包括：获取心血管内导管的外鞘管图像；从所述外鞘管图像中，获取有效像素点；根据所述有效像素点的数量以及每个有效像素点的像素点值，获取所述外鞘管图像对应的特征值；所述特征值用于表征所述外鞘管图像的超声波成像完整程度；将所述特征值和特征阈值进行对比，得到对比结果，并根据所述对比结果控制冲刷设备对所述心血管内导管进行冲刷。
- 根据权利要求1所述的方法，其中所述获取心血管内导管的外鞘管图像包括：采用超声波成像获取所述心血管内导管的横截面图像；采用目标检测算法处理所述横截面图像，得到所述横截面图像中所述心血管内导管的外鞘管所在的位置区域，根据所述位置区域得到所述外鞘管图像。
- 根据权利要求1所述的方法，其中所述从所述外鞘管图像中，获取有效像素点包括：按照预设像素间隔，从所述外鞘管图像中所有像素点中选取目标像素点；获取每个目标像素点的像素点值；获取像素点值满足预设条件的目标像素点，作为所述有效像素点。
- 根据权利要求3所述的方法，其中所述获取像素点值满足预设条件的目标像素点，作为所述有效像素点，包括：若所述目标像素点的像素点值处于预设像素范围，将所述目标像素点作为所述有效像素点。
- 根据权利要求3所述的方法，其中所述获取像素点值满足预设条件的目标像素点，作为所述有效像素点，包括：将所有目标像素点按照像素点值由大到小进行排序，去除排序中前第一预设数量个目标像素点，以及去除排序中后第二预设数量个目标像素点，将剩余的目标像素点作为所述有效像素点。
- 根据权利要求1所述的方法，其中所述根据所述有效像素点数量以及每个有效像素点的像素点值，获取所述外鞘管图像对应的特征值，包括：根据每个有效像素点的像素点值，计算所述外鞘管图像的有效像素点值总和；根据所述有效像素点数量和所述有效像素点值总和，计算所述外鞘管图像的有效像素 点平均值，作为所述外鞘管图像对应的特征值。
- 根据权利要求1所述的方法，其中所述将所述特征值和特征阈值进行对比，得到对比结果，并根据所述对比结果控制冲刷设备对所述心血管内导管进行冲刷，包括：若所述特征值小于所述特征阈值，控制所述冲刷设备对所述心血管内导管进行冲刷。
- 根据权利要求1所述的方法，其中所述冲刷设备包括输液泵和水袋，所述输液泵通过水袋对所述心血管内导管进行冲刷。
- 根据权利要求1所述的方法，其中所述冲刷设备包括注射泵、推杆和注射器，所述注射泵通过控制所述推杆推动所述注射器对所述心血管内导管进行冲刷。
- 根据权利要求1所述的方法，其中根据所述有效像素点的数量以及每个有效像素点的像素点值，获取所述外鞘管图像对应的特征值包括：根据每个有效像素点的像素点值D(x,y)i，计算所述外鞘管图像的有效像素点值总和，根据所述有效像素点数量N和所述有效像素点值总和，通过以下公式计算所述外鞘管图像的有效像素点平均值R作为所述外鞘管图像对应的特征值，
- 根据权利要求1所述的方法，还包括：当获取所述心血管内导管的多张外鞘管图像时，确定所述特征值为多张外鞘管图像对应的多个特征值的平均值。
- 一种导管冲刷控制装置(600)，包括：获取模块(601)，用于获取心血管内导管的外鞘管图像；检测模块(602)，用于从所述外鞘管图像中，获取有效像素点；计算模块(603)，用于根据所述有效像素点的数量以及每个有效像素点的像素点值，获取所述外鞘管图像对应的特征值；所述特征值用于表征所述外鞘管图像的超声波成像完整程度；控制模块(604)，用于将所述特征值和特征阈值进行对比，得到对比结果，并根据所述对比结果控制冲刷设备对所述心血管内导管进行冲刷。
- 一种计算机设备，包括存储器和处理器，所述存储器存储有计算机程序，其特征在于，所述处理器执行所述计算机程序时实现权利要求1至11中任一项所述的方法的步骤。
- 一种计算机可读存储介质，其上存储有计算机程序，其特征在于，所述计算机程 序被处理器执行时实现权利要求1至11中任一项所述的方法的步骤。
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011152274A (ja) * | 2010-01-27 | 2011-08-11 | Terumo Corp | 生体内診断装置およびその制御方法 |
| US20120253197A1 (en) * | 2011-03-30 | 2012-10-04 | Boston Scientific Scimed, Inc. | Systems and methods for flushing bubbles from a catheter of an intravascular ultrasound imaging system |
| CN110893109A (zh) * | 2019-10-18 | 2020-03-20 | 深圳北芯生命科技有限公司 | 血管内超声系统的图像降噪方法 |
| CN112258503A (zh) * | 2020-11-13 | 2021-01-22 | 中国科学院深圳先进技术研究院 | 超声图像成像质量评价方法、装置及计算机可读存储介质 |
| CN115644933A (zh) * | 2022-11-17 | 2023-01-31 | 深圳微创踪影医疗装备有限公司 | 导管冲刷控制方法、装置、计算机设备、存储介质 |
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| KR101386098B1 (ko) * | 2010-11-10 | 2014-04-29 | 삼성메디슨 주식회사 | 빔 프로파일에 기초하여 초음파 공간 합성 영상의 화질을 개선시키는 초음파 시스템 및 방법 |
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Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2011152274A (ja) * | 2010-01-27 | 2011-08-11 | Terumo Corp | 生体内診断装置およびその制御方法 |
| US20120253197A1 (en) * | 2011-03-30 | 2012-10-04 | Boston Scientific Scimed, Inc. | Systems and methods for flushing bubbles from a catheter of an intravascular ultrasound imaging system |
| CN110893109A (zh) * | 2019-10-18 | 2020-03-20 | 深圳北芯生命科技有限公司 | 血管内超声系统的图像降噪方法 |
| CN112258503A (zh) * | 2020-11-13 | 2021-01-22 | 中国科学院深圳先进技术研究院 | 超声图像成像质量评价方法、装置及计算机可读存储介质 |
| CN115644933A (zh) * | 2022-11-17 | 2023-01-31 | 深圳微创踪影医疗装备有限公司 | 导管冲刷控制方法、装置、计算机设备、存储介质 |
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