CN109394269B - Cardiac target highlighting platform - Google Patents
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- CN109394269B CN109394269B CN201811498350.XA CN201811498350A CN109394269B CN 109394269 B CN109394269 B CN 109394269B CN 201811498350 A CN201811498350 A CN 201811498350A CN 109394269 B CN109394269 B CN 109394269B
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- 230000000747 cardiac effect Effects 0.000 title claims abstract description 27
- 238000004891 communication Methods 0.000 claims abstract description 10
- 230000009471 action Effects 0.000 claims abstract description 8
- 238000003384 imaging method Methods 0.000 claims abstract description 7
- 238000012937 correction Methods 0.000 claims description 38
- 230000011218 segmentation Effects 0.000 claims description 33
- 238000001914 filtration Methods 0.000 claims description 30
- 238000012545 processing Methods 0.000 claims description 17
- 239000012634 fragment Substances 0.000 claims description 12
- 238000005259 measurement Methods 0.000 claims description 11
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000012935 Averaging Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 5
- 238000003709 image segmentation Methods 0.000 claims description 5
- 230000003044 adaptive effect Effects 0.000 claims description 2
- 238000000034 method Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 claims description 2
- 238000003745 diagnosis Methods 0.000 abstract description 2
- 230000003902 lesion Effects 0.000 description 8
- 230000007246 mechanism Effects 0.000 description 6
- 230000006870 function Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000002604 ultrasonography Methods 0.000 description 3
- 210000004556 brain Anatomy 0.000 description 2
- 210000004877 mucosa Anatomy 0.000 description 2
- 239000000523 sample Substances 0.000 description 2
- 206010028980 Neoplasm Diseases 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000009558 endoscopic ultrasound Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008014 freezing Effects 0.000 description 1
- 238000007710 freezing Methods 0.000 description 1
- 210000001035 gastrointestinal tract Anatomy 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 231100000915 pathological change Toxicity 0.000 description 1
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- 238000004904 shortening Methods 0.000 description 1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B8/00—Diagnosis using ultrasonic, sonic or infrasonic waves
- A61B8/52—Devices using data or image processing specially adapted for diagnosis using ultrasonic, sonic or infrasonic waves
Abstract
The invention relates to a cardiac target highlighting platform, which comprises: the room temperature measuring equipment is arranged in the environment where the endoscope ultrasonic equipment is positioned and used for measuring the temperature of the environment where the endoscope ultrasonic equipment is positioned so as to obtain and output the corresponding field room temperature; the temperature adjusting device is in wireless data communication connection with the room temperature measuring device and is used for carrying out corresponding temperature adjusting action when the on-site room temperature is more than or equal to 30 ℃; the temperature adjusting device is also used for carrying out corresponding temperature adjusting action when the on-site room temperature is less than or equal to 20 ℃; the characteristic matching device is used for carrying out characteristic matching on the heart target in the tone editing image based on preset heart imaging characteristics so as to obtain a corresponding heart pattern; a highlight display device for performing highlight red display of the heart pattern in the tone editing image when the heart pattern is received. The invention can improve the diagnosis efficiency of the medical equipment.
Description
Technical Field
The invention relates to the field of endoscope ultrasonic equipment, in particular to a cardiac target highlight display platform.
Background
The endoscopic ultrasound device is capable of performing an ultrasound examination simultaneously with an endoscopic examination. Therefore, the ultrasonic examination of the observation part is easier and faster. Even if the front end of the endoscope is in a bent angle state, a very clear rotating picture can be displayed. Moreover, since the distal end portion of the ultrasonic probe is short, the lesion site can be accurately scanned. The endoscope can move easily and smoothly in the endoscope chamber. Can be easily moved to the side of the existing endoscope system, and can ensure enough space even during the ultrasonic examination.
The display size and position of the image can be arbitrarily selected in accordance with the observation site and the size of the lesion. Further, by image rotation, the position of the lesion can be arbitrarily moved by 360 °. The freezing function is matched, so that a desired image is captured and displayed more easily; the keyboard with simple operation can meet the requirement of a doctor on the ultrasonic examination of the microprobe. Can display the secondary structure of the wall layer of the digestive tract with high definition, and can particularly and finely observe the pathological changes on the surface of the mucosa.
Disclosure of Invention
The invention provides a cardiac target highlight display platform, aiming at solving the technical problem that the current endoscopic ultrasonic equipment lacks a high-precision cardiac target exploration and positioning mechanism.
Therefore, the invention at least needs to have the following three key points: (1) identifying a heart pattern in an imaging image of endoscopic ultrasonic equipment by adopting a customized high-precision image identification mechanism and highlighting the heart pattern; (2) in a specific image identification mechanism, the sizes of image segmentation blocks which are in direct proportion to the maximum amplitude of noise in an image are determined based on the maximum amplitude of the noise in the image, so that the segmentation blocks with the same size are obtained; (3) in order to save the amount of computation for image processing, four contrasts of four corner image areas of an image are subjected to averaging calculation to obtain the contrast of the entire image, and whether to perform nonlinear tone editing processing is determined based on the contrast of the entire image to improve the gradation of brightness of the image.
According to an aspect of the present invention, there is provided a cardiac target highlighting platform, the platform comprising:
the room temperature measuring equipment is arranged in the environment where the endoscope ultrasonic equipment is positioned and used for measuring the temperature of the environment where the endoscope ultrasonic equipment is positioned so as to obtain and output the corresponding field room temperature; the temperature adjusting device is in wireless data communication connection with the room temperature measuring device and is used for carrying out corresponding temperature adjusting action when the on-site room temperature is more than or equal to 30 ℃; the temperature adjusting device is also used for carrying out corresponding temperature adjusting action when the on-site room temperature is less than or equal to 20 ℃; the room temperature measuring equipment and the temperature adjusting equipment are respectively provided with a first Bluetooth interface and a second Bluetooth interface, and wireless data communication is carried out between the first Bluetooth interface and the second Bluetooth interface through a Bluetooth communication link; the geometric correction device is used for receiving the ultrasonic detection image output by the endoscopic ultrasonic device and executing geometric correction processing on the ultrasonic detection image so as to obtain and output a corresponding geometric correction image; the amplitude measuring device is connected with the geometric correction device and used for receiving the geometric correction image, analyzing the amplitude of noise in the geometric correction image to obtain the maximum amplitude in the geometric correction image, and determining the sizes of image segmentation blocks which are in direct proportion to the maximum amplitude based on the maximum amplitude to obtain all segmentation blocks with the same size; the region selection device is connected with the amplitude measurement device and used for receiving the segmentation blocks with the same size and selecting four segmentation blocks positioned at four corner positions in the geometric correction image from the segmentation blocks in the geometric correction image as four corner segmentation blocks; the regional identification equipment is respectively connected with the amplitude measuring equipment and the regional selection equipment and is used for receiving the four segmentation blocks, obtaining the contrast of each corner segmentation block, and carrying out averaging calculation on the four contrasts of the four corner image regions so as to output the obtained average as a target contrast; the command starting device is connected with the regional identification device and used for receiving the target contrast, sending a command with lower contrast when the target contrast is smaller than a preset contrast value and sending a command with higher contrast when the target contrast is larger than or equal to the preset contrast value; the tone editing device is respectively connected with the sub-area identification device and the command starting device, and is used for executing nonlinear tone editing processing on the geometric correction image to obtain a tone editing image when the contrast ratio lower command is received, and also used for skipping the execution of the nonlinear tone editing processing on the geometric correction image when the contrast ratio higher command is received, and outputting the geometric correction image as the tone editing image; the characteristic matching device is respectively connected with the highlight display device and the tone editing device and used for receiving the tone editing image and performing characteristic matching on a heart target in the tone editing image based on preset heart imaging characteristics so as to obtain a corresponding heart pattern; a highlight display device for performing highlight red display of the heart pattern in the tone editing image upon reception of the heart pattern.
Detailed Description
Embodiments of the cardiac target highlighting platform of the present invention will be described in detail below.
A high-definition magnifying gastroscope and an ultrasonic probe with FICE imaging function are technical equipment integrating an endoscope and intracavity ultrasound. The endoscope can observe lesions of the lumen mucosa of the alimentary canal like a common endoscope, can observe lesions of each layer of structures of the wall of the alimentary canal and surrounding tissues and organs thereof due to the ultrasonic function, can determine the depth and the property of the lesions, particularly has higher value in the aspects of diagnosis and treatment of early alimentary canal tumors by interventional ultrasound. Since it is closer to the lesion, shortening the acoustic path and reducing acoustic attenuation, high frequency technology can be employed. Obviously improves the image resolution and finds tiny lesions.
In order to overcome the defects, the invention builds a cardiac target highlight display platform and can effectively solve the corresponding technical problem.
A cardiac target highlighting platform according to an embodiment of the present invention is shown comprising:
the room temperature measuring equipment is arranged in the environment where the endoscope ultrasonic equipment is positioned and used for measuring the temperature of the environment where the endoscope ultrasonic equipment is positioned so as to obtain and output the corresponding field room temperature;
the temperature adjusting device is in wireless data communication connection with the room temperature measuring device and is used for carrying out corresponding temperature adjusting action when the on-site room temperature is more than or equal to 30 ℃;
the temperature adjusting device is also used for carrying out corresponding temperature adjusting action when the on-site room temperature is less than or equal to 20 ℃;
the room temperature measuring equipment and the temperature adjusting equipment are respectively provided with a first Bluetooth interface and a second Bluetooth interface, and wireless data communication is carried out between the first Bluetooth interface and the second Bluetooth interface through a Bluetooth communication link;
the geometric correction device is used for receiving the ultrasonic detection image output by the endoscopic ultrasonic device and executing geometric correction processing on the ultrasonic detection image so as to obtain and output a corresponding geometric correction image;
the amplitude measuring device is connected with the geometric correction device and used for receiving the geometric correction image, analyzing the amplitude of noise in the geometric correction image to obtain the maximum amplitude in the geometric correction image, and determining the sizes of image segmentation blocks which are in direct proportion to the maximum amplitude based on the maximum amplitude to obtain all segmentation blocks with the same size;
the region selection device is connected with the amplitude measurement device and used for receiving the segmentation blocks with the same size and selecting four segmentation blocks positioned at four corner positions in the geometric correction image from the segmentation blocks in the geometric correction image as four corner segmentation blocks;
the regional identification equipment is respectively connected with the amplitude measuring equipment and the regional selection equipment and is used for receiving the four segmentation blocks, obtaining the contrast of each corner segmentation block, and carrying out averaging calculation on the four contrasts of the four corner image regions so as to output the obtained average as a target contrast;
the command starting device is connected with the regional identification device and used for receiving the target contrast, sending a command with lower contrast when the target contrast is smaller than a preset contrast value and sending a command with higher contrast when the target contrast is larger than or equal to the preset contrast value;
the tone editing device is respectively connected with the sub-area identification device and the command starting device, and is used for executing nonlinear tone editing processing on the geometric correction image to obtain a tone editing image when the contrast ratio lower command is received, and also used for skipping the execution of the nonlinear tone editing processing on the geometric correction image when the contrast ratio higher command is received, and outputting the geometric correction image as the tone editing image;
the characteristic matching device is respectively connected with the highlight display device and the tone editing device and used for receiving the tone editing image and performing characteristic matching on a heart target in the tone editing image based on preset heart imaging characteristics so as to obtain a corresponding heart pattern;
a highlight display device for performing highlight red display of the heart pattern in the tone editing image upon reception of the heart pattern.
Next, the detailed structure of the cardiac target highlighting platform of the present invention will be further described.
In the cardiac target highlighting platform: the geometric correction device, the amplitude measurement device, the region selection device, the region division identification device, the command starting device and the tone editing device are respectively realized by ASIC chips with different models.
In the cardiac target highlighting platform, further comprising:
and the recursive filtering device is connected with the tone editing device and used for receiving the tone editing image, executing the following operations aiming at the tone editing image, executing the adaptive recursive filtering processing on the tone editing image to obtain a corresponding recursive filtering image and outputting the recursive filtering image.
In the cardiac target highlighting platform, further comprising:
and the data segmentation equipment is connected with the recursive filtering equipment and is used for measuring each depth of field of each target in the recursive filtering image so as to obtain three targets with the lightest depth of field and segmenting three target patterns corresponding to the three targets from the recursive filtering image.
In the cardiac target highlighting platform, further comprising:
and the pattern measuring equipment is connected with the data segmentation equipment and used for receiving the three target patterns, acquiring the number of pixel points occupied by each target pattern in the recursive filtering image, and averaging the number of the pixel points occupied by the three target patterns in the recursive filtering image to obtain a corresponding pixel point average value.
In the cardiac target highlighting platform, further comprising:
and the block analysis equipment is connected with the image measurement equipment and used for determining the image block closest to the pixel point mean value based on the pixel point mean value, wherein the closest image block is a square, and the total number of the pixel points is closest to the pixel point mean value.
In the cardiac target highlighting platform, further comprising:
and the redundancy analysis device is respectively connected with the feature matching device, the data segmentation device and the block analysis device, and is used for carrying out block processing on the recursive filtering image based on the closest image block to obtain a plurality of block fragments, measuring the redundancy of each block fragment, taking the block fragment with the minimum redundancy as a reference block fragment, and replacing the hue editing image with the reference block fragment and sending the reference block fragment to the feature matching device.
In the cardiac target highlighting platform: and when the number of the targets in the recursive filtering image is less than three, the data segmentation equipment sends each target pattern corresponding to all the targets in the recursive filtering image to the image measurement equipment.
In the cardiac target highlighting platform: the data segmentation device, the image measurement device, the block analysis device and the redundancy analysis device are integrated in the same SOC chip.
In the cardiac target highlighting platform: when the number of the targets in the recursive filtering image is less than three, the image measuring equipment receives each target pattern, obtains the number of the pixel points occupied by each target pattern in the recursive filtering image, and averages the number of the pixel points occupied by each target pattern in the recursive filtering image to obtain the corresponding pixel point average value.
In addition, the System on Chip is called SOC for short, i.e. System on Chip. From a narrow sense, the system is the chip integration of the core of an information system, and key components of the system are integrated on one chip; in a broad sense, an SOC is a micro-miniature system, and if a Central Processing Unit (CPU) is the brain, the SOC is a system including the brain, heart, eyes, and hands. The academia at home and abroad generally tends to define the SOC as integrating a microprocessor, an analog IP core, a digital IP core and a memory (or off-chip memory control interface) on a single chip, which is usually custom-made or standard product oriented to a specific application. The basic content of the SOC definition is mainly two-fold: one is his composition and the other is his forming process. The system-level chip can be composed of a system-level chip control logic module, a microprocessor/microcontroller CPU core module, a digital signal processor DSP module, an embedded memory module, an interface module for communicating with the outside, an analog front-end module containing ADC/DAC, a power supply and power consumption management module, a radio frequency front-end module, user defined logic (which can be realized by FPGA or ASIC) and a micro-electro-mechanical module for a wireless SOC, and more importantly, a SOC chip is embedded with a basic software (RDOS or COS and other application software) module or loadable user software and the like.
By adopting the cardiac target highlight display platform, the cardiac pattern in the imaging image of the endoscopic ultrasonic equipment is identified and highlighted by adopting a customized high-precision image identification mechanism aiming at the technical problem that the endoscopic ultrasonic equipment in the prior art lacks a high-precision cardiac target exploration and positioning mechanism; in a specific image identification mechanism, the sizes of image segmentation blocks which are in direct proportion to the maximum amplitude of noise in an image are determined based on the maximum amplitude of the noise in the image, so that the segmentation blocks with the same size are obtained; in order to save the operation amount of image processing, the four contrasts of the four corner image areas of the image are subjected to average calculation to obtain the contrast of the whole image, and whether the nonlinear tone editing processing is performed or not is determined based on the contrast of the whole image to improve the light and shade level of the image; 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 (4)
1. A cardiac target highlighting platform, the platform comprising:
the room temperature measuring equipment is arranged in the environment where the endoscope ultrasonic equipment is positioned and used for measuring the temperature of the environment where the endoscope ultrasonic equipment is positioned so as to obtain and output the corresponding field room temperature;
the temperature adjusting device is in wireless data communication connection with the room temperature measuring device and is used for carrying out corresponding temperature adjusting action when the on-site room temperature is more than or equal to 30 ℃;
the temperature adjusting device is also used for carrying out corresponding temperature adjusting action when the on-site room temperature is less than or equal to 20 ℃;
the room temperature measuring equipment and the temperature adjusting equipment are respectively provided with a first Bluetooth interface and a second Bluetooth interface, and wireless data communication is carried out between the first Bluetooth interface and the second Bluetooth interface through a Bluetooth communication link;
the geometric correction device is used for receiving the ultrasonic detection image output by the endoscopic ultrasonic device and executing geometric correction processing on the ultrasonic detection image so as to obtain and output a corresponding geometric correction image;
the amplitude measuring device is connected with the geometric correction device and used for receiving the geometric correction image, analyzing the amplitude of noise in the geometric correction image to obtain the maximum amplitude in the geometric correction image, and determining the sizes of image segmentation blocks which are in direct proportion to the maximum amplitude based on the maximum amplitude to obtain all segmentation blocks with the same size;
the region selection device is connected with the amplitude measurement device and used for receiving the segmentation blocks with the same size and selecting four segmentation blocks positioned at four corner positions in the geometric correction image from the segmentation blocks in the geometric correction image as four corner segmentation blocks;
the regional identification equipment is respectively connected with the amplitude measuring equipment and the regional selection equipment and is used for receiving the four segmentation blocks, obtaining the contrast of each corner segmentation block, and carrying out averaging calculation on the four contrasts of the four corner image regions so as to output the obtained average as a target contrast;
the command starting device is connected with the regional identification device and used for receiving the target contrast, sending a command with lower contrast when the target contrast is smaller than a preset contrast value and sending a command with higher contrast when the target contrast is larger than or equal to the preset contrast value;
the tone editing device is respectively connected with the sub-area identification device and the command starting device, and is used for executing nonlinear tone editing processing on the geometric correction image to obtain a tone editing image when the contrast ratio lower command is received, and also used for skipping the execution of the nonlinear tone editing processing on the geometric correction image when the contrast ratio higher command is received, and outputting the geometric correction image as the tone editing image;
the characteristic matching device is respectively connected with the highlight display device and the tone editing device and used for receiving the tone editing image and performing characteristic matching on a heart target in the tone editing image based on preset heart imaging characteristics so as to obtain a corresponding heart pattern;
a highlight display device for performing highlight red display of the heart pattern in the tone editing image upon reception of the heart pattern;
the geometric correction device, the amplitude measurement device, the region selection device, the region division identification device, the command starting device and the tone editing device are respectively realized by ASIC chips with different models;
a recursive filtering device connected to the tone editing device, for receiving the tone editing image, performing the following operations on the tone editing image, performing an adaptive recursive filtering process on the tone editing image to obtain a corresponding recursive filtering image, and outputting the recursive filtering image;
the data segmentation device is connected with the recursive filtering device and is used for measuring each depth of field of each target in the recursive filtering image to obtain three targets with the lightest depth of field and segmenting three target patterns corresponding to the three targets from the recursive filtering image;
the pattern measuring device is connected with the data segmentation device and used for receiving the three target patterns, acquiring the number of pixel points occupied by each target pattern in the recursive filtering image, and averaging the number of the pixel points occupied by the three target patterns in the recursive filtering image to obtain a corresponding pixel point average value;
the block analysis device is connected with the image measurement device and used for determining an image block closest to the pixel point mean value based on the pixel point mean value, wherein the closest image block is a square, and the total number of the pixel points is closest to the pixel point mean value;
and the redundancy analysis device is respectively connected with the feature matching device, the data segmentation device and the block analysis device, and is used for carrying out block processing on the recursive filtering image based on the closest image block to obtain a plurality of block fragments, measuring the redundancy of each block fragment, taking the block fragment with the minimum redundancy as a reference block fragment, and replacing the hue editing image with the reference block fragment and sending the reference block fragment to the feature matching device.
2. The cardiac target highlighting platform of claim 1, wherein:
and when the number of the targets in the recursive filtering image is less than three, the data segmentation equipment sends each target pattern corresponding to all the targets in the recursive filtering image to the image measurement equipment.
3. The cardiac target highlighting platform of claim 2, wherein:
the data segmentation device, the image measurement device, the block analysis device and the redundancy analysis device are integrated in the same SOC chip.
4. The cardiac target highlighting platform of claim 3, wherein:
when the number of the targets in the recursive filtering image is less than three, the image measuring equipment receives each target pattern, obtains the number of the pixel points occupied by each target pattern in the recursive filtering image, and averages the number of the pixel points occupied by each target pattern in the recursive filtering image to obtain the corresponding pixel point average value.
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Effective date of registration: 20211119 Address after: 110172 No. 188-35, JINZI street, Shenfu demonstration zone, Fushun City, Liaoning Province Applicant after: Shenyang Pengyue Technology Co.,Ltd. Address before: 315410 Sanqi Town Industrial Park, Yuyao City, Ningbo City, Zhejiang Province Applicant before: YUYAO HUAYAO TOOLS TECHNOLOGY Co.,Ltd. |
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