CN109816642B - Compatible instant treatment mechanism - Google Patents
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- CN109816642B CN109816642B CN201910037834.2A CN201910037834A CN109816642B CN 109816642 B CN109816642 B CN 109816642B CN 201910037834 A CN201910037834 A CN 201910037834A CN 109816642 B CN109816642 B CN 109816642B
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Abstract
With the development of medical science and bioengineering technology, the demand of hospitals for high-tech imaging equipment and radiotherapy equipment such as high-end medical equipment such as MRI, CT, PET, gamma knife and the like is increased rapidly; the improvement of medical health system and the investment of the state to the medical health industry also increase the demand of the primary hospitals on the medium-high-end equipment. The invention relates to a compatible immediate treatment mechanism, comprising: and the refrigeration control equipment is connected with the medical refrigeration equipment, and is used for stopping the refrigeration operation of the medical refrigeration equipment when receiving the first control command and also used for starting the refrigeration operation of the medical refrigeration equipment when receiving the second control command. By the invention, the instant treatment effect on the patient can be ensured.
Description
Technical Field
The invention relates to the field of hospital equipment, in particular to a compatible instant treatment mechanism.
Background
With the development of medical science and bioengineering technology, the demand of hospitals for high-tech imaging equipment and radiotherapy equipment such as high-end medical equipment such as MRI, CT, PET, gamma knife and the like is increased rapidly; the improvement of medical health system and the investment of the state to the medical health industry also increase the demand of the primary hospitals on the medium-high-end equipment.
Currently, the financing modes introduced by hospital equipment in various countries are roughly divided into the following types: own funds, bank loans, foreign government loans, financial fund transfers, enterprise investments, financing leases and the like. Among them, financing lease is gradually approved by hospitals due to its advantages in many aspects of flexibility, rapidness, large financing amount, quick fund availability, etc., and this model has been increasingly adopted in practice.
Disclosure of Invention
According to an aspect of the present invention, there is provided a compatible point of care mechanism, the mechanism comprising:
and the refrigeration control equipment is connected with the medical refrigeration equipment, and is used for stopping the refrigeration operation of the medical refrigeration equipment when receiving the first control command and also used for starting the refrigeration operation of the medical refrigeration equipment when receiving the second control command.
More specifically, in the compatible immediate treatment facility, the method further comprises:
the spherical camera is arranged on one side of the medical refrigeration equipment and comprises a flash lamp, a light quantity measuring instrument and a CCD sensor, the CCD sensor is used for outputting a medical scene image captured on a scene where the medical refrigeration equipment is located, and the light quantity measuring instrument is used for measuring and outputting light quantity around the CCD sensor.
More specifically, in the compatible point-of-care facility:
the flash lamp is connected with the light quantity measuring instrument and the CCD sensor and used for determining a flash strategy of the medical scene image based on the overall brightness of the medical scene image output by the CCD sensor and the light quantity around the CCD sensor.
More specifically, in the compatible immediate treatment facility, the method further comprises:
and the first processing equipment is connected with the CCD sensor and used for receiving the medical scene image, performing image content measurement on the medical scene image to determine whether a shaking line appears in the medical scene image or not, outputting the medical scene image as a first image to be processed when the shaking line exists, and outputting the medical scene image which is closest to the medical scene image and is output by the CCD sensor as a second image to be processed.
More specifically, in the compatible immediate treatment facility, the method further comprises:
the second processing device is connected with the first processing device and used for receiving the first image to be processed and the second image to be processed, and determining a displacement vector of the first image to be processed relative to the second image to be processed based on the overall comparison of the first image to be processed and the second image to be processed so as to output the displacement vector as a current displacement vector; in the second processing device, determining a displacement vector of the first image to be processed relative to the second image to be processed based on the overall comparison of the first image to be processed and the second image to be processed comprises: acquiring each Y component value of each pixel point of the first image to be processed and each Y component value of the second image to be processed, and determining a displacement vector of the first image to be processed relative to the second image to be processed based on each Y component value of each pixel point of the first image to be processed and each Y component value of the second image to be processed;
the movement correction equipment is respectively connected with the CCD sensor and the second processing equipment and is used for driving the CCD sensor to perform reverse movement corresponding to the displacement vector based on the displacement vector;
the distortion correction equipment is connected with the spherical camera and used for receiving the medical scene image and carrying out distortion correction operation on the medical scene image so as to obtain a corresponding distortion correction image;
the Gaussian filtering device is connected with the distortion correcting device and used for executing Gaussian filtering-based processing on the distortion corrected image to obtain a corresponding Gaussian filtered image and outputting the Gaussian filtered image;
the block extraction device is connected with the Gaussian filter device and is used for performing image block processing on the Lena image and the Gaussian filter image with the same image block size to obtain each image block of the Lena image and each block of the Gaussian filter image, extracting an image block at the middle position of each image block of the Lena image as a first image block, and extracting an image block at the middle position of each image block of the Gaussian filter image as a second image block;
and the signal triggering device is connected with the block extracting device and used for sending a first triggering signal when the signal-to-noise ratio of the second image block is greater than or equal to that of the first image block, and sending a second triggering signal when the signal-to-noise ratio of the second image block is smaller than that of the first image block.
The invention has at least the following three key points: (1) the customized filtering image is partitioned through histogram cluster analysis, and the complexity-based self-adaptive target segmentation threshold range is determined for each partitioned sub-image, so that the reliability of subsequent target identification can be improved; (2) the method comprises the steps of comparing the signal-to-noise ratio of a specific position image block of a Lena image with the signal-to-noise ratio reaching the standard with the signal-to-noise ratio of a filtered image, and adaptively determining the times of performing customized filtering processing on the filtered image based on the multiple relation of the signal-to-noise ratio so as to ensure the filtering effect of the image; (3) the method comprises the steps of determining a flash strategy of a flash lamp based on the overall brightness of an image output by an image sensor and the quantity of light around the image sensor, and judging whether the image sensor needs to perform reverse movement corresponding to the image content or not based on the analysis of the front image content and the back image content.
Detailed Description
Embodiments of compatible point-of-care mechanisms of the present invention are described in detail below.
The principle of cryosurgical system refrigeration is the joule-thomson principle, i.e. the gas throttling effect. Typically, argon rapidly reduces the tip temperature to-175 ℃ in tens of seconds and helium increases the temperature to-45 ℃.
Compared with the similar products, the Israel argon-helium scalpel operating system has six advantages, namely the exclusive freezing interventional therapy under the guidance of magnetic resonance, the combination of the superfine 1.47mm probe and 5 groups of 25 probes, the iThaw temperature rise technology without helium temperature rise, the multi-point three-dimensional temperature monitoring, the treatment planning system and the like. The magnetic resonance compatible cryosurgical system represents the highest technical level of the products and has greater innovation and advancement. As a tumor freezing minimally invasive treatment device with mature international technology, a cryosurgery system is an ideal choice for clinical tumor treatment.
In order to overcome the defects of medical refrigeration equipment in the prior art, the invention builds a compatible instant treatment mechanism.
A compatible point-of-care facility is shown according to an embodiment of the invention comprising:
and the refrigeration control equipment is connected with the medical refrigeration equipment, and is used for stopping the refrigeration operation of the medical refrigeration equipment when receiving the first control command and also used for starting the refrigeration operation of the medical refrigeration equipment when receiving the second control command.
Next, a detailed description of the structure of the compatible immediate treatment mechanism of the present invention will be further continued.
In the compatible point-of-care facility, further comprising: the spherical camera is arranged on one side of the medical refrigeration equipment and comprises a flash lamp, a light quantity measuring instrument and a CCD sensor, the CCD sensor is used for outputting a medical scene image captured on a scene where the medical refrigeration equipment is located, and the light quantity measuring instrument is used for measuring and outputting light quantity around the CCD sensor.
In the compatible point-of-care facility: the flash lamp is connected with the light quantity measuring instrument and the CCD sensor and used for determining a flash strategy of the medical scene image based on the overall brightness of the medical scene image output by the CCD sensor and the light quantity around the CCD sensor.
In the compatible point-of-care facility, further comprising: and the first processing equipment is connected with the CCD sensor and used for receiving the medical scene image, performing image content measurement on the medical scene image to determine whether a shaking line appears in the medical scene image or not, outputting the medical scene image as a first image to be processed when the shaking line exists, and outputting the medical scene image which is closest to the medical scene image and is output by the CCD sensor as a second image to be processed.
In the compatible point-of-care facility, further comprising:
the second processing device is connected with the first processing device and used for receiving the first image to be processed and the second image to be processed, and determining a displacement vector of the first image to be processed relative to the second image to be processed based on the overall comparison of the first image to be processed and the second image to be processed so as to output the displacement vector as a current displacement vector; in the second processing device, determining a displacement vector of the first image to be processed relative to the second image to be processed based on the overall comparison of the first image to be processed and the second image to be processed comprises: acquiring each Y component value of each pixel point of the first image to be processed and each Y component value of the second image to be processed, and determining a displacement vector of the first image to be processed relative to the second image to be processed based on each Y component value of each pixel point of the first image to be processed and each Y component value of the second image to be processed;
the movement correction equipment is respectively connected with the CCD sensor and the second processing equipment and is used for driving the CCD sensor to perform reverse movement corresponding to the displacement vector based on the displacement vector;
the distortion correction equipment is connected with the spherical camera and used for receiving the medical scene image and carrying out distortion correction operation on the medical scene image so as to obtain a corresponding distortion correction image;
the Gaussian filtering device is connected with the distortion correcting device and used for executing Gaussian filtering-based processing on the distortion corrected image to obtain a corresponding Gaussian filtered image and outputting the Gaussian filtered image;
the block extraction device is connected with the Gaussian filter device and is used for performing image block processing on the Lena image and the Gaussian filter image with the same image block size to obtain each image block of the Lena image and each block of the Gaussian filter image, extracting an image block at the middle position of each image block of the Lena image as a first image block, and extracting an image block at the middle position of each image block of the Gaussian filter image as a second image block;
the signal trigger equipment is connected with the block extraction equipment, and is used for sending a first trigger signal when the signal-to-noise ratio of the second image block is greater than or equal to that of the first image block, and sending a second trigger signal when the signal-to-noise ratio of the second image block is smaller than that of the first image block;
the customized filtering device is connected with the signal triggering device and is used for dividing the signal-to-noise ratio of the second image block by the signal-to-noise ratio of the first image block to obtain a corresponding multiple when the second triggering signal is received, and determining the times of performing subsequent multi-time wavelet filtering processing on the Gaussian filtered image based on the multiple to perform multi-time wavelet filtering processing on the Gaussian filtered image to obtain a corresponding customized filtered image;
the histogram clustering equipment is connected with the customized filtering equipment and used for receiving the customized filtering image and segmenting the customized filtering image through histogram clustering analysis to obtain each subimage;
the complexity detection equipment is connected with the histogram clustering equipment and is used for receiving each subimage and carrying out complexity detection on each subimage so as to obtain each complexity of each subimage;
the self-adaptive data extraction device is respectively connected with the histogram clustering device and the complexity detection device and is used for receiving each sub-image, receiving each complexity of each sub-image and determining the face segmentation threshold range of each sub-image based on the complexity of each sub-image;
and the image analysis device is respectively connected with the refrigeration control device and the threshold selection device and is used for executing human body face segmentation processing on each sub-image based on the corresponding face segmentation threshold to obtain a corresponding sub-pattern, splicing the sub-patterns of all the sub-images to obtain each spliced pattern, respectively executing face feature recognition on each spliced pattern to determine whether an authorized medical staff face target exists or not, and sending out a first control command when the authorized medical staff face target does not exist in each spliced pattern.
In the compatible point-of-care facility: the image analysis device is also configured to issue a second control command when an authorized medical personnel face target is present in the one or more stitched patterns.
In the compatible point-of-care facility: in the adaptive data extraction device, the higher the complexity of a sub-image is, the smaller the face segmentation threshold range width of the sub-image is.
In the compatible point-of-care facility: and the customized filtering device is further used for taking the Gaussian filtering image as a customized filtering image when the first trigger signal is received.
In the compatible point-of-care facility: in the first processing device, when there is no wobbling line, the first processing device does not output any image.
In addition, the image filtering in the gaussian filtering device suppresses the noise of the target image under the condition of keeping the detail features of the image as much as possible, which is an indispensable operation in image preprocessing, and the effectiveness and reliability of subsequent image processing and analysis are directly affected by the quality of the processing effect.
Due to the imperfections of the imaging system, the transmission medium, and the recording device, the digital images are often contaminated by various noises during the formation, transmission, and recording processes thereof. In addition, noise may also be introduced into the resulting image at some point in the image processing when the input image object is not as expected. These noises often appear as an isolated pixel or block of pixels on the image that causes a strong visual effect. In general, the noise signal is not correlated with the object to be studied-it appears in the form of useless information, disturbing the observable information of the image. For digital image signals, the noise table is more or less extreme values, and the extreme values act on the real gray values of image pixels through addition and subtraction to cause bright and dark point interference on the image, so that the image quality is greatly reduced, and the follow-up work of image restoration, segmentation, feature extraction, image identification and the like is influenced. Two basic issues must be considered to construct an effective noise suppression filter: the noise in the target and the background can be effectively removed; meanwhile, the shape, the size and the specific geometric and topological structure characteristics of the image target can be well protected.
One of the commonly used image filtering modes is a non-linear filter, generally speaking, when the signal spectrum and the noise spectrum are mixed or when the signal contains non-superimposed noise, such as noise caused by system nonlinearity or the presence of non-gaussian noise, etc.), the conventional linear filtering techniques, such as fourier transform, while filtering out noise, always blur the image details (such as edges, etc.) in some way, thereby causing the positioning accuracy of the image linear features and the extractability of the features to be reduced. The nonlinear filter is based on a nonlinear mapping relation of an input signal, a specific noise can be mapped to be zero approximately, the main characteristic of the signal is reserved, and therefore the nonlinear filter can overcome the defects of the linear filter to a certain extent.
By adopting the compatible instant treatment mechanism, aiming at the technical problem that the medical refrigeration equipment is easily abused by unauthorized medical staff in the prior art, the compatible instant treatment mechanism is connected with the medical refrigeration equipment through the refrigeration control equipment, is used for stopping the refrigeration operation of the medical refrigeration equipment when receiving a first control command, and is also used for starting the refrigeration operation of the medical refrigeration equipment when receiving a second control command; the image analysis device is used for executing human body face segmentation processing based on the corresponding face segmentation threshold value on each sub-image to obtain corresponding sub-patterns, splicing the sub-patterns of all the sub-images to obtain each spliced pattern, respectively executing face feature recognition on each spliced pattern to determine whether an authorized medical staff face target exists or not, and sending a first control command when the authorized medical staff face target does not exist in each spliced pattern, or sending a second control command; thereby solving the technical problem.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.
Claims (5)
1. A compatible point-of-care mechanism, the mechanism comprising:
the refrigeration control equipment is connected with the medical refrigeration equipment, and is used for stopping the refrigeration operation of the medical refrigeration equipment when receiving the first control command and also used for starting the refrigeration operation of the medical refrigeration equipment when receiving the second control command;
the spherical camera is arranged on one side of the medical refrigeration equipment and comprises a flash lamp, a light quantity measuring instrument and a CCD (charge coupled device) sensor, wherein the CCD sensor is used for outputting a medical scene image captured on a scene where the medical refrigeration equipment is located, and the light quantity measuring instrument is used for measuring and outputting light quantity around the CCD sensor;
the flash lamp is connected with the light quantity measuring instrument and the CCD sensor and used for determining a flash strategy of the medical scene image based on the overall brightness of the medical scene image output by the CCD sensor and the light quantity around the CCD sensor;
the first processing device is connected with the CCD sensor and used for receiving a medical scene image, performing image content measurement on the medical scene image to determine whether a shaking line appears in the medical scene image or not, outputting the medical scene image as a first image to be processed when the shaking line exists, and outputting a medical scene image which is closest to the medical scene image and is output by the CCD sensor as a second image to be processed;
the second processing device is connected with the first processing device and used for receiving the first image to be processed and the second image to be processed, and determining a displacement vector of the first image to be processed relative to the second image to be processed based on the overall comparison of the first image to be processed and the second image to be processed so as to output the displacement vector as a current displacement vector; in the second processing device, determining a displacement vector of the first image to be processed relative to the second image to be processed based on the overall comparison of the first image to be processed and the second image to be processed comprises: acquiring each Y component value of each pixel point of the first image to be processed and each Y component value of the second image to be processed, and determining a displacement vector of the first image to be processed relative to the second image to be processed based on each Y component value of each pixel point of the first image to be processed and each Y component value of the second image to be processed;
the movement correction equipment is respectively connected with the CCD sensor and the second processing equipment and is used for driving the CCD sensor to perform reverse movement corresponding to the displacement vector based on the displacement vector;
the distortion correction equipment is connected with the spherical camera and used for receiving the medical scene image and carrying out distortion correction operation on the medical scene image so as to obtain a corresponding distortion correction image;
the Gaussian filtering device is connected with the distortion correcting device and used for executing Gaussian filtering-based processing on the distortion corrected image to obtain a corresponding Gaussian filtered image and outputting the Gaussian filtered image;
the block extraction device is connected with the Gaussian filter device and is used for performing image block processing on the Rana images and the Gaussian filter images with the same image block size to obtain each image block of the Rana images and each block of the Gaussian filter images, extracting an image block at the middle position of each image block of the Rana images as a first image block, and extracting an image block at the middle position of each image block of the Gaussian filter images as a second image block;
the signal trigger equipment is connected with the block extraction equipment, and is used for sending a first trigger signal when the signal-to-noise ratio of the second image block is greater than or equal to that of the first image block, and sending a second trigger signal when the signal-to-noise ratio of the second image block is smaller than that of the first image block;
the customized filtering device is connected with the signal triggering device and is used for dividing the signal-to-noise ratio of the second image block by the signal-to-noise ratio of the first image block to obtain a corresponding multiple when the second triggering signal is received, and determining the times of performing subsequent multi-time wavelet filtering processing on the Gaussian filtered image based on the multiple to perform multi-time wavelet filtering processing on the Gaussian filtered image to obtain a corresponding customized filtered image;
the histogram clustering equipment is connected with the customized filtering equipment and used for receiving the customized filtering image and segmenting the customized filtering image through histogram clustering analysis to obtain each subimage;
the complexity detection equipment is connected with the histogram clustering equipment and is used for receiving each subimage and carrying out complexity detection on each subimage so as to obtain each complexity of each subimage;
the self-adaptive data extraction device is respectively connected with the histogram clustering device and the complexity detection device and is used for receiving each sub-image, receiving each complexity of each sub-image and determining the face segmentation threshold range of each sub-image based on the complexity of each sub-image;
and the image analysis device is respectively connected with the refrigeration control device and the threshold selection device and is used for executing human body face segmentation processing on each sub-image based on the corresponding face segmentation threshold to obtain a corresponding sub-pattern, splicing the sub-patterns of all the sub-images to obtain each spliced pattern, respectively executing face feature recognition on each spliced pattern to determine whether an authorized medical staff face target exists or not, and sending out a first control command when the authorized medical staff face target does not exist in each spliced pattern.
2. The compatible point-of-care mechanism of claim 1, wherein:
the image analysis device is also configured to issue a second control command when an authorized medical personnel face target is present in the one or more stitched patterns.
3. The compatible point-of-care mechanism of claim 2, wherein:
in the adaptive data extraction device, the higher the complexity of a sub-image is, the smaller the face segmentation threshold range width of the sub-image is.
4. The compatible immediate treatment mechanism of claim 3, wherein:
and the customized filtering device is further used for taking the Gaussian filtering image as a customized filtering image when the first trigger signal is received.
5. The compatible point-of-care mechanism of claim 4, wherein:
in the first processing device, when there is no wobbling line, the first processing device does not output any image.
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| CN204965213U (en) * | 2015-07-03 | 2016-01-13 | 哈尔滨理工大学 | Medical reagent reaction control case under cloud intelligent platform |
| CN105701457A (en) * | 2016-01-08 | 2016-06-22 | 西安工程大学 | DC electromagnetic relay device based on face identification control and control method thereof |
| CN109147126A (en) * | 2018-08-11 | 2019-01-04 | 深圳市罗德韦尔智能科技有限公司 | The noninductive open-door system of intelligent door lock and control method based on recognition of face |
| CN109167971A (en) * | 2018-10-15 | 2019-01-08 | 易视飞科技成都有限公司 | Intelligent region monitoring alarm system and method |
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| WO2009059199A2 (en) * | 2007-11-02 | 2009-05-07 | Hunch Inc. | Interactive machine learning advice facility |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN204965213U (en) * | 2015-07-03 | 2016-01-13 | 哈尔滨理工大学 | Medical reagent reaction control case under cloud intelligent platform |
| CN105701457A (en) * | 2016-01-08 | 2016-06-22 | 西安工程大学 | DC electromagnetic relay device based on face identification control and control method thereof |
| CN109147126A (en) * | 2018-08-11 | 2019-01-04 | 深圳市罗德韦尔智能科技有限公司 | The noninductive open-door system of intelligent door lock and control method based on recognition of face |
| CN109167971A (en) * | 2018-10-15 | 2019-01-08 | 易视飞科技成都有限公司 | Intelligent region monitoring alarm system and method |
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