CN109602445A - Spleen defect detection platform - Google Patents
Spleen defect detection platform Download PDFInfo
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- CN109602445A CN109602445A CN201811485195.8A CN201811485195A CN109602445A CN 109602445 A CN109602445 A CN 109602445A CN 201811485195 A CN201811485195 A CN 201811485195A CN 109602445 A CN109602445 A CN 109602445A
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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 present invention relates to a kind of spleen defect detection platforms, comprising: transmitting primitive component, including 12 transmitting primitives, for generating a launching beam；Primitive component, including 11 reception primitives are received, for generating a reception wave beam, launching beam and reception wave beam constitute a ultrasonic scanning wave beam；Image storage apparatus is connect with power supply equipment, supplies electric power by power supply equipment, for storing ultrasonic imaging image；Defect analysis equipment, all parts title for carrying out spleen subgraph and spleen benchmark image by parts match, using matching degree lower than one or more spleen components of preset percentage threshold value are exported as one or more defective FRU titles；Power line communications interface is connect with defect analysis equipment, sends one or more defective FRU titles for receiving one or more defective FRU titles, and by power line communications link.By means of the invention it is possible to improve equipment detection accuracy.
Description
Technical field
The present invention relates to ultrasonic scanning field more particularly to a kind of spleen defect detection platforms.
Background technique
Multiple probes can be placed on the typical now probe holder of ultrasound scanning device, these probes pass through probe connector
It is connected with system.The top of figure is display, for showing image information and human-computer interaction interface.Have very on control panel
More knobs and switch, operator can adjust and set the important parameter of system by controlling these knobs and switch.It is most lower
Face is can be moved freely with the wheel of flexible rotating convenient for system；In addition there are also some peripheral equipments, such as CD writer, USB interface
Deng.Certainly, in addition to the structure of this car-type, with further increasing for circuit level, portable ultrasound system development is fast
Speed.
Summary of the invention
In order to solve the technical issues of current ultrasonic scanning device can not accurately determine spleen diseased region, the present invention is provided
A kind of spleen defect detection platform.
The present invention at least has the important inventive point of following two:
(1) using defect analysis equipment for will the spleen subgraph that detect in high precision and spleen benchmark image carry out by
Parts match, using matching degree lower than preset percentage threshold value one or more spleen components all parts title as
One or more defective FRU titles are exported by power line；
(2) the inhomogeneities parameter for extracting image and standard picture to be processed respectively, to the inhomogeneities parameter of acquisition into
Row numerical analysis is to select adaptive smoothing processing strategy for completing the adaptive smooth processing to image to be processed.
According to an aspect of the present invention, a kind of spleen defect detection platform is provided, the platform includes:
Emit primitive component, including 12 transmitting primitives, for generating a launching beam；Primitive component is received, including
11 reception primitives, for generating a reception wave beam, the launching beam and the reception wave beam constitute a ultrasonic wave and sweep
Retouch wave beam.
More specifically, in the spleen defect detection platform, further includes:
Power supply equipment is connect with the transmitting primitive component and the reception primitive component respectively, for being respectively
The transmitting primitive component and the reception primitive component provide power supply.
More specifically, in the spleen defect detection platform, further includes:
Image storage apparatus is connect with the power supply equipment, electric power is supplied by the power supply equipment, for depositing
Store up ultrasonic imaging image.
More specifically, in the spleen defect detection platform, further includes:
Defect analysis equipment is low by matching degree for carrying out spleen subgraph and spleen benchmark image by parts match
In preset percentage threshold value one or more spleen components all parts title respectively as one or more defective FRUs
Title output；Power line communications interface is connect, for receiving one or more of defective FRUs with the defect analysis equipment
Title, and one or more of defective FRU titles are sent by power line communications link；Inhomogeneity measurement equipment, is used for
Ultrasonic imaging image is received, inhomogeneities parsing is executed to the ultrasonic imaging image, to obtain the first inhomogeneities parameter, also
For receiving the Lai Natu, inhomogeneities parsing is executed to the Lai Natu, to obtain the second inhomogeneities parameter；Parameter ratio
It compared with equipment, is connect with the Inhomogeneity measurement equipment, for receiving the first inhomogeneities parameter and second unevenness
Even property parameter, and when the second inhomogeneities parameter is more than or equal to the first inhomogeneities parameter, issue the first control
Instruction when more than the three times that the first inhomogeneities parameter is the second inhomogeneities parameter, issues third control and refers to
Enable, and the first inhomogeneities parameter be the three times of the second inhomogeneities parameter between two times when, issue the
Two control instructions；Instruction triggers equipment, equipment connects compared with the parameter, for receiving second control instruction
When, activate median smoothing equipment to execute median smoothing processing to the ultrasonic imaging image, and obtain and export corresponding finger
Triggering image is enabled, is also used to when receiving the third control instruction, activates weighted mean smoothing arrangement to the ultrasound
Image executes weighted mean smoothing processing, and obtains and export corresponding instruction triggers image；Described instruction triggers equipment
It is also used to when receiving first control instruction, is exported the ultrasonic imaging image as instruction triggers image；Intermediate value
Smoothing arrangement stops in unactivated state to input picture for executing median smoothing processing to input picture in state of activation
Median smoothing processing；Weighted mean smoothing arrangement, for executing weighted mean smoothing processing to input picture in state of activation,
Stop the weighted mean smoothing processing to input picture in unactivated state；Gray scale identification apparatus, respectively with the defect analysis
Equipment is connected with described instruction triggering equipment, for receiving described instruction triggering image, is based on spleen gray scale upper limit threshold and spleen
Dirty gray scale lower threshold executes spleen identification to described instruction triggering image, to obtain corresponding spleen subgraph.
More specifically, in the spleen defect detection platform, further includes:
Recursive filtering equipment, real-time smoothing arrangement, lines extract equipment, variation identification equipment and lines unit equipment, position
It is triggered between equipment and the gray scale identification apparatus in described instruction.
More specifically, in the spleen defect detection platform: the recursive filtering equipment and described instruction trigger equipment
Connection to obtain corresponding recursive filtering image, and exports institute for executing recursive filtering processing to described instruction triggering image
State recursive filtering image；Wherein, the real-time smoothing arrangement is connect with the recursive filtering equipment, for the recursive filtering
Image executes real-time smoothing processing, to obtain and export real-time smoothed image.
More specifically, in the spleen defect detection platform: the lines extract equipment and the real-time smoothing arrangement
Connection extracts a plurality of contour line, and described in output for receiving the real-time smoothed image from the real-time smoothed image
A plurality of contour line, each contour line are the lines of some target in the composition real-time smoothed image；Wherein, the variation
Identification equipment connect with the lines extract equipment, for receiving a plurality of contour line, for each contour line execution with
Lower movement: the profile curvature of a curve is determined, and when the profile curvature of a curve is more than predetermined curvature value, by the contour line
It is exported as effective contour line.
More specifically, in the spleen defect detection platform: the lines unit equipment is triggered with described instruction respectively
Equipment and the variation identification equipment connects, a plurality of effective contour line exported for receiving the variation identification equipment, will be
The image block surrounded in the real-time smoothed image by effective contour line is as effective image block, and by the real-time smoothed image
In each effective image block integrally replace described instruction triggering image be sent to described instruction triggering equipment.
More specifically, in the spleen defect detection platform: the lines unit equipment is by lines receiving unit, image
Block recognition unit and image block output unit composition；Wherein, the lines receiving unit is for receiving the variation identification equipment
The a plurality of effective contour line of output, described image block output unit are used to export each effectively figure in the real-time smoothed image
As block.
More specifically, in the spleen defect detection platform: described image block recognition unit connects with the lines respectively
It receives unit to connect with described image block output unit, the figure for will be surrounded in the real-time smoothed image by effective contour line
As block is as effective image block；Wherein, in variation identification equipment, predetermined curvature is less than in the profile curvature of a curve
When value, using the contour line as null contour line.
Detailed description of the invention
Embodiment of the present invention is described below with reference to attached drawing, in which:
Fig. 1 is the structural schematic diagram according to the spleen defect detection platform shown in embodiment of the present invention.
Specific embodiment
The embodiment of spleen defect detection platform of the invention is described in detail below with reference to accompanying drawings.
Ultrasound scanning device refers to using ultrasonic probe transmitting ultrasonic wave to object, records the echo of internal structure of body,
Echo is handled and forms gray level image, to reflect the internal structure of object.
" ultrasound " this word is related with vibration frequency.Sound is generally divided into three ranges: infrasonic sound, sound and ultrasound.Frequently
Sound wave of the rate within the range (20 to 20000 hertz) that human ear can be heard is referred to as sound.Infrasonic sound wave frequency rate is lower than 20 hertz
Hereby, ultrasonic wave rate is then more than 20000 hertz.The frequency of present most of medical ultrasound equipments is typically larger than 2 megahertzs.
As common sound, ultrasound can be propagated to certain orientation, and can penetrate object, if encountering obstacle,
Will echogenicity, different obstacle will generate different echo, and this echo is collected and shown by instrument by people
Show on the screen, for understanding the internal structure of object.Echo signal is shown as luminous point, the strong and weak ash (bright) to put of echo
Degree display.Acoustic impedance difference is bigger, and reflection is stronger, and the echo signal of generation is brighter；Otherwise weaker, the echo signal of generation is got over
Secretly.It can produce bright spot line by line using array probe, form a plane, that is, show the image of a section, it is referred to as two-dimentional
Tangent plane picture.With the development of technology, three-dimensional ultrasound pattern and four-dimensional ultrasound image (echocardiogram) have also been answered into clinic
With.
In order to overcome above-mentioned deficiency, the present invention has built a kind of spleen defect detection platform, can effectively solve the problem that corresponding
Technical problem.
Fig. 1 is the structural schematic diagram according to the spleen defect detection platform shown in embodiment of the present invention, the platform packet
It includes:
Emit primitive component 1, including 12 transmitting primitives, for generating a launching beam；
Data receiver 2, data processing equipment 3 and display equipment 4；
Primitive component 5, including 11 reception primitives are received, for generating a reception wave beam, the launching beam and institute
It states and receives wave beam one ultrasonic scanning wave beam of composition.
Then, continue that the specific structure of spleen defect detection platform of the invention is further detailed.
In the spleen defect detection platform, further includes:
Power supply equipment is connect with the transmitting primitive component and the reception primitive component respectively, for being respectively
The transmitting primitive component and the reception primitive component provide power supply.
In the spleen defect detection platform, further includes:
Image storage apparatus is connect with the power supply equipment, electric power is supplied by the power supply equipment, for depositing
Store up ultrasonic imaging image.
In the spleen defect detection platform, further includes:
Defect analysis equipment is low by matching degree for carrying out spleen subgraph and spleen benchmark image by parts match
In preset percentage threshold value one or more spleen components all parts title respectively as one or more defective FRUs
Title output；
Power line communications interface is connect, for receiving one or more of defective FRUs with the defect analysis equipment
Title, and one or more of defective FRU titles are sent by power line communications link；
Inhomogeneity measurement equipment executes inhomogeneities to the ultrasonic imaging image for receiving ultrasonic imaging image
Parsing, to obtain the first inhomogeneities parameter, is also used to receive the Lai Natu, executes inhomogeneities solution to the Lai Natu
Analysis, to obtain the second inhomogeneities parameter；
Parameter compares equipment, connect with the Inhomogeneity measurement equipment, for receiving the first inhomogeneities parameter
With the second inhomogeneities parameter, and the second inhomogeneities parameter be more than or equal to the first inhomogeneities parameter
When, the first control instruction is issued, when more than the three times that the first inhomogeneities parameter is the second inhomogeneities parameter,
Third control instruction is issued, and in the first inhomogeneities parameter is the three times of the second inhomogeneities parameter to two times
Between when, issue the second control instruction；
Instruction triggers equipment, equipment connects compared with the parameter, for swashing when receiving second control instruction
Median smoothing equipment living obtains and exports corresponding instruction triggers to execute median smoothing processing to the ultrasonic imaging image
Image is also used to when receiving the third control instruction, activates weighted mean smoothing arrangement to the ultrasonic imaging figure
As executing weighted mean smoothing processing, and obtain and export corresponding instruction triggers image；
Described instruction triggering equipment is also used to when receiving first control instruction, and the ultrasonic imaging image is made
For the output of instruction triggers image；
Median smoothing equipment is stopped for executing median smoothing processing to input picture in state of activation in unactivated state
Only the median smoothing of input picture is handled；
Weighted mean smoothing arrangement swashs for executing weighted mean smoothing processing to input picture in state of activation non-
State living stops the weighted mean smoothing processing to input picture；
Gray scale identification apparatus is connect, for receiving respectively with the defect analysis equipment and described instruction triggering equipment
Instruction triggers image is stated, spleen is executed to described instruction triggering image based on spleen gray scale upper limit threshold and spleen gray scale lower threshold
Dirty identification, to obtain corresponding spleen subgraph.
In the spleen defect detection platform, further includes:
Recursive filtering equipment, real-time smoothing arrangement, lines extract equipment, variation identification equipment and lines unit equipment, position
It is triggered between equipment and the gray scale identification apparatus in described instruction.
In the spleen defect detection platform: the recursive filtering equipment is connect with described instruction triggering equipment, is used for
Recursive filtering processing is executed to described instruction triggering image, to obtain corresponding recursive filtering image, and exports the recurrence filter
Wave image；
Wherein, the real-time smoothing arrangement is connect with the recursive filtering equipment, for holding to the recursive filtering image
The real-time smoothing processing of row, to obtain and export real-time smoothed image.
In the spleen defect detection platform: the lines extract equipment is connect with the real-time smoothing arrangement, is used for
The real-time smoothed image is received, extracts a plurality of contour line from the real-time smoothed image, and exports a plurality of profile
Line, each contour line are the lines of some target in the composition real-time smoothed image；
Wherein, the variation identification equipment is connect with the lines extract equipment, right for receiving a plurality of contour line
Following movement is executed in each contour line: determining the profile curvature of a curve, and is more than default in the profile curvature of a curve
When curvature value, exported the contour line as effective contour line.
In the spleen defect detection platform: the lines unit equipment triggers equipment and described with described instruction respectively
Variation identification equipment connection will be described flat in real time for receiving a plurality of effective contour line of the variation identification equipment output
The image block surrounded in sliding image by effective contour line has as effective image block, and by each in the real-time smoothed image
Effect image block integrally replaces described instruction triggering image and is sent to described instruction triggering equipment.
In the spleen defect detection platform: the lines unit equipment is by lines receiving unit, image recognition list
Member and image block output unit composition；
Wherein, the lines receiving unit is used to receive a plurality of effective contour line of the variation identification equipment output, institute
Image block output unit is stated for exporting each effective image block in the real-time smoothed image.
In the spleen defect detection platform: described image block recognition unit respectively with the lines receiving unit and institute
The connection of image block output unit is stated, for using the image block surrounded in the real-time smoothed image by effective contour line as having
Imitate image block；
It wherein,, will be described when the profile curvature of a curve is less than predetermined curvature value in variation identification equipment
Contour line is as null contour line.
In addition, power line carrier Power Line Carrier-PLC communication is using power line as information transmitting medium
Carry out a kind of specific communication mode of voice or data transmission.Power line is generally divided into high, normal, basic 3 class in power carrier field, leads to
Normal high-voltage power line refers to that 35kV and above, medium voltage power line refer to that 10kV voltage class, low-voltage distribution wire refer to 380/
220V user's line.
Power line carrier (PLC, i.e. Power Line Carrier) is the distinctive communication mode of electric system, and power line carries
Wave communication refers to using existing power line, and analog or digital signal is carried out to the technology of high-speed transfer by carrier system.It is maximum
Feature is not need to set up network again, as long as live wire, can be carried out data transmitting.
Power line carrier technology breaches the limitation for being only limitted to single chip application, has come into digital times, and
With the continuous development of power line carrier technology and the needs of society, the technological development and application of medium/low piezoelectricity power carrier communication
Also there is situation in the ascendant.Power line carrier communication this electricity is increasingly becoming by Kingsoft that medium is likened to not be mined
One popular speciality of the power communications field.
Using spleen defect detection platform of the invention, spleen can not be accurately determined for ultrasonic scanning device in the prior art
The technical issues of dirty diseased region, is used for the spleen subgraph and spleen that will be detected in high precision by using defect analysis equipment
Benchmark image carries out each portion by parts match, by matching degree lower than one or more spleen components of preset percentage threshold value
Part title is exported respectively as one or more defective FRU titles by power line；Meanwhile extract respectively image to be processed and
The inhomogeneities parameter of standard picture carries out numerical analysis to the inhomogeneities parameter of acquisition to select adaptive smoothing processing
Strategy is for completing the adaptive smooth processing to image to be processed.
It is understood that although the present invention has been disclosed in the preferred embodiments as above, above-described embodiment not to
Limit the present invention.For any person skilled in the art, without departing from the scope of the technical proposal of the invention,
Many possible changes and modifications all are made to technical solution of the present invention using the technology contents of the disclosure above, or are revised as
With the equivalent embodiment of variation.Therefore, anything that does not depart from the technical scheme of the invention are right according to the technical essence of the invention
Any simple modifications, equivalents, and modifications made for any of the above embodiments still fall within the range of technical solution of the present invention protection
It is interior.
Claims (10)
1. a kind of spleen defect detection platform characterized by comprising
Emit primitive component, including 12 transmitting primitives, for generating a launching beam；
Primitive component, including 11 reception primitives are received, for generating a reception wave beam, the launching beam and the reception
Wave beam constitutes a ultrasonic scanning wave beam.
2. spleen defect detection platform as described in claim 1, which is characterized in that the platform further include:
Power supply equipment is connect with the transmitting primitive component and the reception primitive component respectively, for being respectively described
Emit primitive component and the reception primitive component provides power supply.
3. spleen defect detection platform as claimed in claim 2, which is characterized in that the platform further include:
Image storage apparatus is connect with the power supply equipment, supplies electric power by the power supply equipment, super for storing
Acoustic imaging image.
4. spleen defect detection platform as claimed in claim 3, which is characterized in that the platform further include:
Defect analysis equipment, for carrying out spleen subgraph and spleen benchmark image by parts match, by matching degree lower than pre-
If all parts title of one or more spleen components of percentage threshold is respectively as one or more defective FRU titles
Output；
Power line communications interface is connect with the defect analysis equipment, for receiving one or more of defective FRU titles,
And one or more of defective FRU titles are sent by power line communications link；
Inhomogeneity measurement equipment executes inhomogeneities parsing to the ultrasonic imaging image for receiving ultrasonic imaging image,
It to obtain the first inhomogeneities parameter, is also used to receive the Lai Natu, inhomogeneities parsing is executed to the Lai Natu, to obtain
Obtain the second inhomogeneities parameter；
Parameter compares equipment, connect with the Inhomogeneity measurement equipment, for receiving the first inhomogeneities parameter and institute
The second inhomogeneities parameter is stated, and when the second inhomogeneities parameter is more than or equal to the first inhomogeneities parameter, hair
First control instruction out when more than the three times that the first inhomogeneities parameter is the second inhomogeneities parameter, issues
Third control instruction, and in the first inhomogeneities parameter be the three times of the second inhomogeneities parameter between two times
When, issue the second control instruction；
Instruction triggers equipment, equipment connects compared with the parameter, for when receiving second control instruction, in activation
It is worth smoothing arrangement to execute median smoothing processing to the ultrasonic imaging image, and obtains and export corresponding instruction triggers figure
Picture is also used to when receiving the third control instruction, activates weighted mean smoothing arrangement to the ultrasonic imaging image
Weighted mean smoothing processing is executed, and obtains and export corresponding instruction triggers image；
Described instruction triggering equipment is also used to when receiving first control instruction, using the ultrasonic imaging image as referring to
Enable triggering image output；
Median smoothing equipment, for executing median smoothing processing to input picture in state of activation, in unactivated state stopping pair
The median smoothing of input picture is handled；
Weighted mean smoothing arrangement, for executing weighted mean smoothing processing to input picture in state of activation, in inactive shape
State stops the weighted mean smoothing processing to input picture；
Gray scale identification apparatus is connect, for receiving the finger respectively with the defect analysis equipment and described instruction triggering equipment
Triggering image is enabled, spleen is executed to described instruction triggering image based on spleen gray scale upper limit threshold and spleen gray scale lower threshold and is known
Not, to obtain corresponding spleen subgraph.
5. spleen defect detection platform as claimed in claim 4, which is characterized in that the platform further include:
Recursive filtering equipment, real-time smoothing arrangement, lines extract equipment, variation identification equipment and lines unit equipment, are located at institute
It states between instruction triggers equipment and the gray scale identification apparatus.
6. spleen defect detection platform as claimed in claim 5, it is characterised in that:
The recursive filtering equipment is connect with described instruction triggering equipment, for executing recursive filtering to described instruction triggering image
Processing, to obtain corresponding recursive filtering image, and exports the recursive filtering image；
Wherein, the real-time smoothing arrangement is connect with the recursive filtering equipment, for executing reality to the recursive filtering image
When smoothing processing, to obtain and export real-time smoothed image.
7. spleen defect detection platform as claimed in claim 6, it is characterised in that:
The lines extract equipment is connect with the real-time smoothing arrangement, for receiving the real-time smoothed image, from the reality
When smoothed image in extract a plurality of contour line, and export a plurality of contour line, each contour line is that composition is described in real time
The lines of some target in smoothed image；
Wherein, the variation identification equipment is connect with the lines extract equipment, for receiving a plurality of contour line, for every
One contour line executes following movement: determining the profile curvature of a curve, and is more than predetermined curvature in the profile curvature of a curve
When value, exported the contour line as effective contour line.
8. spleen defect detection platform as claimed in claim 7, it is characterised in that:
The lines unit equipment triggers equipment with described instruction respectively and variation identification equipment is connect, described for receiving
The a plurality of effective contour line of variation identification equipment output, the image that will be surrounded in the real-time smoothed image by effective contour line
Block integrally replaces described instruction triggering figure as effective image block, and by each effective image block in the real-time smoothed image
As being sent to described instruction triggering equipment.
9. spleen defect detection platform as claimed in claim 8, it is characterised in that:
The lines unit equipment is made of lines receiving unit, image recognition unit and image block output unit；
Wherein, the lines receiving unit is used to receive a plurality of effective contour line of the variation identification equipment output, the figure
As block output unit is used to export each effective image block in the real-time smoothed image.
10. spleen defect detection platform as claimed in claim 9, it is characterised in that:
Described image block recognition unit is connect with the lines receiving unit and described image block output unit respectively, for will be
The image block surrounded in the real-time smoothed image by effective contour line is as effective image block；
Wherein, in variation identification equipment, when the profile curvature of a curve is less than predetermined curvature value, by the profile
Line is as null contour line.
Priority Applications (1)
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| CN201811485195.8A CN109602445A (en) | 2018-12-06 | 2018-12-06 | Spleen defect detection platform |
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| CN201811485195.8A CN109602445A (en) | 2018-12-06 | 2018-12-06 | Spleen defect detection platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| RU2726998C1 (en) * | 2019-11-29 | 2020-07-17 | Федеральное Государственное Бюджетное Научное Учреждение "Федеральный Научно-Клинический Центр Реаниматологии И Реабилитологии" (Фнкц Рр) | Diagnostic technique of splenomegaly in fetus |
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