CN109598718B - Equipment replacement demand analysis mechanism - Google Patents
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- CN109598718B CN109598718B CN201811485197.7A CN201811485197A CN109598718B CN 109598718 B CN109598718 B CN 109598718B CN 201811485197 A CN201811485197 A CN 201811485197A CN 109598718 B CN109598718 B CN 109598718B
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- 238000004458 analytical method Methods 0.000 title claims abstract description 45
- 239000002131 composite material Substances 0.000 claims abstract description 8
- 238000012423 maintenance Methods 0.000 claims abstract description 5
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- 238000001914 filtration Methods 0.000 claims description 18
- 238000003706 image smoothing Methods 0.000 claims description 15
- 230000011218 segmentation Effects 0.000 claims description 14
- 238000001514 detection method Methods 0.000 claims description 10
- 238000000605 extraction Methods 0.000 claims description 6
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- 241000722363 Piper Species 0.000 description 2
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- 238000012285 ultrasound imaging Methods 0.000 description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
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- G06T5/00—Image enhancement or restoration
- G06T5/80—Geometric correction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10132—Ultrasound image
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- G06T2207/00—Indexing scheme for image analysis or image enhancement
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- G06T2207/20021—Dividing image into blocks, subimages or windows
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Abstract
The invention relates to an equipment replacement demand analysis mechanism, comprising: the grating timing circuit adopts a PAL mode and is used for providing timing operation for each electronic device of the ultrasonic image projector; the raster timing circuit is connected with the television monitor and is used for providing a composite synchronous signal, a composite blanking signal and a raster address signal required by the television monitor; the raster timing circuit is connected with the frame memory and is used for providing a read control signal, a write control signal and a read address signal required by the frame memory; the grating timing circuit is also connected with a DSP processing chip of the ultrasonic image taking device and used for providing scanning timing signals for the DSP processing chip; and the requirement analysis equipment is used for sending a CT request signal when the reference noise type is a type influencing ultrasonic image target identification, and otherwise, sending a maintenance ultrasonic signal. By the invention, the intelligent level of the ultrasonic image projector is improved.
Description
Technical Field
The invention relates to the field of ultrasonic photography, in particular to an equipment replacement requirement analysis mechanism.
Background
Ultrasound contrast agents are substances used in ultrasound imagers to enhance the contrast of images. Generally, the enveloped microbubbles with the diameter of micron magnitude enter a blood circulation system through intravenous injection to enhance the reflection intensity of ultrasonic waves, thereby achieving the purpose of ultrasonic contrast imaging.
After the ultrasonic contrast agent is injected into a blood vessel, the ultrasonic characteristics (such as a backscattering coefficient, an attenuation coefficient, a sound velocity and a nonlinear effect) of the tissue can be changed to generate a contrast effect, and the enhancement effect depends on the concentration and the size of the ultrasonic contrast agent and the ultrasonic emission frequency. Its most basic property is to enhance the echo capability of the tissue, and to improve the image definition and contrast in the ultrasonic imaging. The nonlinear effect generates harmonic component with certain energy, and the harmonic imaging and harmonic Doppler technology can be used for measuring blood flow and tissue perfusion of tiny blood vessels in vivo, so that clutter signals generated on fundamental frequency by tissue motion without ultrasonic contrast agent can be inhibited, and the signal-to-noise ratio is greatly improved.
Disclosure of Invention
In order to solve the technical problem that the image lack of beam hand which cannot be overcome during the ultrasonic detection at present, the invention provides a device replacement demand analysis mechanism, wherein a type identification device is introduced and used for receiving the noise of the image to detect so as to obtain the amplitude of each type of noise in the image, and outputting the noise type with the maximum amplitude as a reference noise type; more importantly, the Lena image with the distortion reaching the standard and the image after barrel distortion correction are subjected to the distortion comparison of image blocks at specific positions, and the times of barrel distortion correction on the image after barrel distortion correction are determined in a self-adaptive mode based on the multiple relation of the distortion, so that the barrel distortion correction effect of the image is guaranteed.
According to an aspect of the present invention, there is provided an equipment replacement demand analysis mechanism, the mechanism including:
and the grating timing circuit adopts a PAL (phase alternating line) mode and is used for providing timing operation for each electronic device of the ultrasonic imager.
More specifically, in the equipment replacement demand analysis mechanism: the raster timing circuit is connected with the television monitor and is used for providing a composite synchronous signal, a composite blanking signal and a raster address signal required by the television monitor.
More specifically, in the equipment replacement demand analysis mechanism: the raster timing circuit is connected with the frame memory and is used for providing a read control signal, a write control signal and a read address signal required by the frame memory.
More specifically, in the equipment replacement demand analysis mechanism: the grating timing circuit is also connected with a DSP processing chip of the ultrasonic image taking device and used for providing scanning timing signals for the DSP processing chip.
More specifically, in the equipment replacement demand analysis mechanism, the equipment replacement demand analysis mechanism further includes:
the demand analysis equipment is connected with the type identification equipment and is used for sending a CT request signal when the reference noise type is a type influencing ultrasonic image target identification, and otherwise, sending a maintenance ultrasonic signal; in the demand analysis apparatus, when the reference noise type is a type that affects ultrasonic image target identification, the issuing of the CT request signal includes: when the reference noise type is salt and pepper noise or Gaussian noise, sending a CT request signal; the image smoothing equipment is connected with the frame memory and is used for receiving the ultrasonic photographic image in the frame memory and executing image smoothing processing on the ultrasonic photographic image to obtain a corresponding smoothed image; barrel distortion correction equipment connected with the image smoothing equipment and used for receiving the smoothed image and performing barrel distortion correction operation on the smoothed image to obtain a corresponding barrel distortion corrected image; a block extraction device connected to the barrel distortion correction device, configured to perform image block processing of the same image block size on the lena image and the barrel distortion corrected image for which barrel distortion degree is satisfied, to obtain each image block of the lena image and each block of the barrel distortion corrected image, extract an image block at a middle position of each image block of the lena image as a first image block, and extract an image block at a middle position of each image block of the barrel distortion corrected image as a second image block; the signal trigger equipment is connected with the block extraction equipment and used for sending a first trigger signal when the barrel distortion degree of the second image block is less than or equal to that of the first image block and sending a second trigger signal when the barrel distortion degree of the second image block is greater than that of the first image block; the additional processing equipment is connected with the signal triggering equipment and used for dividing the barrel distortion degree of the second image block by the barrel distortion degree of the first image block to obtain a corresponding multiple when the second triggering signal is received, and determining the times of performing subsequent barrel distortion correction processing on the barrel distortion corrected image for multiple times based on the multiple to perform barrel distortion correction processing on the barrel distortion corrected image to obtain a corresponding additional processed image; and the type identification device is connected with the additional processing device and used for receiving the additional processing image, detecting the noise of the additional processing image to obtain the amplitude of each type of noise in the additional processing image, and outputting the noise type with the maximum amplitude as a reference noise type.
More specifically, in the equipment replacement demand analysis mechanism: in the additional processing apparatus, the barrel distortion correction apparatus is further configured to, upon receiving the first trigger signal, take the barrel distortion corrected image as an additional processed image.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic external view of an ultrasonic imager to which an apparatus replacement demand analysis mechanism is applied according to an embodiment of the present invention.
Detailed Description
An embodiment of the device replacement demand analysis mechanism of the present invention will be described in detail below with reference to the accompanying drawings.
An ultrasound imager is the application of ultrasound contrast agents in conventional ultrasound imaging. Ultrasound contrast agents enhance contrast by reflecting sound waves differently at interfaces of different media. Such an interface may be the surface of a small bubble, or other more complex structure. Commercially available contrast agents are mostly gas-containing microbubbles (on the order of microns) that are introduced intravenously into the human blood circulation system. Microbubbles have a strong acoustic impedance and thus reflect sound waves efficiently much more than the fluid (blood, lymph) and biological tissue surrounding the bubbles. Therefore, the use of contrast agents in ultrasound imaging can effectively enhance the reflection of ultrasound waves, resulting in higher image resolution. Contrast-enhanced ultrasound may be used to observe blood perfusion in an organ, measure blood flow velocity in the heart or other organs, and other uses.
In order to overcome the defects, the invention builds an equipment replacement requirement analysis mechanism, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic external view of an ultrasonic camera to which an apparatus replacement demand analysis mechanism according to an embodiment of the present invention is applied, the ultrasonic camera including a display screen 1, an ultrasonic probe 2, and a housing 3.
The equipment replacement demand analysis mechanism shown according to the embodiment of the present invention includes:
and the grating timing circuit adopts a PAL (phase alternating line) mode and is used for providing timing operation for each electronic device of the ultrasonic imager.
Next, a specific configuration of the device replacement demand analysis mechanism of the present invention will be further described.
In the equipment replacement demand analysis mechanism: the raster timing circuit is connected with the television monitor and is used for providing a composite synchronous signal, a composite blanking signal and a raster address signal required by the television monitor.
In the equipment replacement demand analysis mechanism: the raster timing circuit is connected with the frame memory and is used for providing a read control signal, a write control signal and a read address signal required by the frame memory.
In the equipment replacement demand analysis mechanism: the grating timing circuit is also connected with a DSP processing chip of the ultrasonic image taking device and used for providing scanning timing signals for the DSP processing chip.
In the equipment replacement demand analysis mechanism, the equipment replacement demand analysis mechanism further includes:
the demand analysis equipment is connected with the type identification equipment and is used for sending a CT request signal when the reference noise type is a type influencing ultrasonic image target identification, and otherwise, sending a maintenance ultrasonic signal;
in the demand analysis apparatus, when the reference noise type is a type that affects ultrasonic image target identification, the issuing of the CT request signal includes: when the reference noise type is salt and pepper noise or Gaussian noise, sending a CT request signal;
the image smoothing equipment is connected with the frame memory and is used for receiving the ultrasonic photographic image in the frame memory and executing image smoothing processing on the ultrasonic photographic image to obtain a corresponding smoothed image;
barrel distortion correction equipment connected with the image smoothing equipment and used for receiving the smoothed image and performing barrel distortion correction operation on the smoothed image to obtain a corresponding barrel distortion corrected image;
a block extraction device connected to the barrel distortion correction device, configured to perform image block processing of the same image block size on the lena image and the barrel distortion corrected image for which barrel distortion degree is satisfied, to obtain each image block of the lena image and each block of the barrel distortion corrected image, extract an image block at a middle position of each image block of the lena image as a first image block, and extract an image block at a middle position of each image block of the barrel distortion corrected image as a second image block;
the signal trigger equipment is connected with the block extraction equipment and used for sending a first trigger signal when the barrel distortion degree of the second image block is less than or equal to that of the first image block and sending a second trigger signal when the barrel distortion degree of the second image block is greater than that of the first image block;
the additional processing equipment is connected with the signal triggering equipment and used for dividing the barrel distortion degree of the second image block by the barrel distortion degree of the first image block to obtain a corresponding multiple when the second triggering signal is received, and determining the times of performing subsequent barrel distortion correction processing on the barrel distortion corrected image for multiple times based on the multiple to perform barrel distortion correction processing on the barrel distortion corrected image to obtain a corresponding additional processed image;
and the type identification device is connected with the additional processing device and used for receiving the additional processing image, detecting the noise of the additional processing image to obtain the amplitude of each type of noise in the additional processing image, and outputting the noise type with the maximum amplitude as a reference noise type.
In the equipment replacement demand analysis mechanism: in the additional processing apparatus, the barrel distortion correction apparatus is further configured to, upon receiving the first trigger signal, take the barrel distortion corrected image as an additional processed image.
In the equipment replacement demand analysis mechanism, the equipment replacement demand analysis mechanism further includes:
a wavelet filtering device, a shape recognition device, a shape processing device, a region segmentation device, and a distribution ascertaining device, located between the image smoothing device and the frame memory.
In the equipment replacement demand analysis mechanism: the wavelet filtering device is connected with the frame memory and used for receiving the ultrasonic photographic image and carrying out wavelet filtering processing of a wavelet base which is selected based on the noise type of the ultrasonic photographic image in a self-adaptive manner on the ultrasonic photographic image so as to obtain a corresponding wavelet filtering image;
the appearance recognition device is connected with the wavelet filtering device and used for receiving the wavelet filtering image and recognizing the appearances of a plurality of objects from the wavelet filtering image.
In the equipment replacement demand analysis mechanism: the shape processing device is connected with the shape recognition device and used for calculating the areas of the objects in the wavelet filtered image respectively based on the shapes of the objects and performing average calculation on the areas of the objects in the wavelet filtered image respectively to obtain corresponding area average values;
the region segmentation equipment is connected with the appearance processing equipment and used for receiving the area mean value and determining the number of regions obtained after region segmentation with the same size is carried out on the wavelet filtering image based on the area mean value;
the distribution ascertaining device is connected to the image smoothing device, the shape processing device and the region segmentation device, and is configured to ascertain a total area of each sub-region that is an object shape in each region, regard a region with a largest total area as an ascertained region, and send the ascertained region to the image smoothing device in place of the radiographic image.
In the equipment replacement demand analysis mechanism: in the region segmentation apparatus, determining the number of regions obtained after performing region segmentation of the same size on the wavelet filtered image based on the area average value includes: the smaller the area average value is, the more the number of regions obtained after the wavelet filtering image is subjected to region segmentation with the same size is;
the distribution ascertaining equipment comprises a sub-region detection unit and a sub-region comparison unit, wherein the sub-region detection unit is used for ascertaining the total area of each sub-region which is the shape of the object in each region;
the sub-region comparison unit is connected with the sub-region detection unit and is used for taking the region with the largest total area as a detection region.
In addition, the DSP processing chip adopts a Harvard structure with separated programs and data, is provided with a special hardware multiplier, widely adopts pipeline operation, provides special DSP instructions and can be used for quickly realizing various digital signal processing algorithms.
According to the requirement of digital signal processing, a DSP processing chip generally has some main features as follows: (1) one multiply and one add may be done in one instruction cycle. (2) The program and data spaces are separate and instructions and data may be accessed simultaneously. (3) On-chip with fast RAM, it is usually accessible in two blocks simultaneously via separate data buses. (4) Hardware support with low or no overhead loops and jumps. (5) Fast interrupt handling and hardware I/O support. (6) There are multiple hardware address generators operating in a single cycle. (7) Multiple operations may be performed in parallel. (8) And pipeline operation is supported, so that the operations of fetching, decoding, executing and the like can be executed in an overlapping way.
Classified according to the data format in which the DSP processing chip operates. DSP processing chips with data working in fixed-point format are called fixed-point DSP processing chips, such as TMS320C1X/C2X, TMS320C2XX/C5X, TMS320C54X/C62XX series of TI company, ADSP21XX series of AD company, DSP16/16A of AT & T company, MC56000 of Motolora company, and the like. The DSP processing chip is called floating point DSP processing chip working in floating point format, such as TMS320C3X/C4X/C8X of TI company, ADSP21XXX series of AD company, DSP32/32C of AT & T company, MC96002 of Motolora company, etc.
By adopting the equipment replacement requirement analysis mechanism, aiming at the technical problem of lack of tie in the image which can not be overcome in the ultrasonic detection in the prior art, the equipment replacement requirement analysis mechanism is used for receiving and detecting the noise of the image by citing the type identification equipment so as to obtain the amplitude of each type of noise in the image, outputting the noise type with the maximum amplitude as the reference noise type, introducing the requirement analysis equipment which is connected with the type identification equipment and is used for sending a CT request signal when the reference noise type is the type influencing ultrasonic image target identification, or sending a maintenance ultrasonic signal; more importantly, the Lena image with the distortion reaching the standard and the image after barrel distortion correction are subjected to the distortion comparison of image blocks at specific positions, and the times of barrel distortion correction on the image after barrel distortion correction are determined in a self-adaptive mode based on the multiple relation of the distortion, so that the barrel distortion correction effect of the image is guaranteed.
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 (6)
1. An equipment replacement need analysis mechanism, comprising:
the grating timing circuit adopts a PAL mode and is used for providing timing operation for each electronic device of the ultrasonic image projector;
the raster timing circuit is connected with the television monitor and is used for providing a composite synchronous signal, a composite blanking signal and a raster address signal required by the television monitor;
the raster timing circuit is connected with the frame memory and is used for providing a read control signal, a write control signal and a read address signal required by the frame memory;
the grating timing circuit is also connected with a DSP processing chip of the ultrasonic image taking device and used for providing scanning timing signals for the DSP processing chip;
the demand analysis equipment is connected with the type identification equipment and is used for sending a CT request signal when the reference noise type is a type influencing ultrasonic image target identification, and otherwise, sending a maintenance ultrasonic signal;
in the demand analysis apparatus, when the reference noise type is a type that affects ultrasonic image target identification, the issuing of the CT request signal includes: when the reference noise type is salt and pepper noise or Gaussian noise, sending a CT request signal;
the image smoothing equipment is connected with the frame memory and is used for receiving the ultrasonic photographic image in the frame memory and executing image smoothing processing on the ultrasonic photographic image to obtain a corresponding smoothed image;
barrel distortion correction equipment connected with the image smoothing equipment and used for receiving the smoothed image and performing barrel distortion correction operation on the smoothed image to obtain a corresponding barrel distortion corrected image;
a block extraction device connected to the barrel distortion correction device, configured to perform image block processing of the same image block size on the lena image and the barrel distortion corrected image for which barrel distortion degree is satisfied, to obtain each image block of the lena image and each block of the barrel distortion corrected image, extract an image block at a middle position of each image block of the lena image as a first image block, and extract an image block at a middle position of each image block of the barrel distortion corrected image as a second image block;
the signal trigger equipment is connected with the block extraction equipment and used for sending a first trigger signal when the barrel distortion degree of the second image block is less than or equal to that of the first image block and sending a second trigger signal when the barrel distortion degree of the second image block is greater than that of the first image block;
the additional processing equipment is connected with the signal triggering equipment and used for dividing the barrel distortion degree of the second image block by the barrel distortion degree of the first image block to obtain a corresponding multiple when the second triggering signal is received, and determining the times of performing subsequent barrel distortion correction processing on the barrel distortion corrected image for multiple times based on the multiple to perform barrel distortion correction processing on the barrel distortion corrected image to obtain a corresponding additional processed image;
and the type identification device is connected with the additional processing device and used for receiving the additional processing image, detecting the noise of the additional processing image to obtain the amplitude of each type of noise in the additional processing image, and outputting the noise type with the maximum amplitude as a reference noise type.
2. The equipment replacement need analysis mechanism of claim 1, wherein:
in the additional processing apparatus, the barrel distortion correction apparatus is further configured to, upon receiving the first trigger signal, take the barrel distortion corrected image as an additional processed image.
3. The equipment change requirement analysis mechanism of claim 2, wherein the mechanism further comprises:
a wavelet filtering device, a shape recognition device, a shape processing device, a region segmentation device, and a distribution ascertaining device, located between the image smoothing device and the frame memory.
4. The equipment replacement need analysis mechanism of claim 3, wherein:
the wavelet filtering device is connected with the frame memory and used for receiving the ultrasonic photographic image and carrying out wavelet filtering processing of a wavelet base which is selected based on the noise type of the ultrasonic photographic image in a self-adaptive manner on the ultrasonic photographic image so as to obtain a corresponding wavelet filtering image;
the appearance recognition device is connected with the wavelet filtering device and used for receiving the wavelet filtering image and recognizing the appearances of a plurality of objects from the wavelet filtering image.
5. The equipment replacement need analysis mechanism of claim 4, wherein:
the shape processing device is connected with the shape recognition device and used for calculating the areas of the objects in the wavelet filtered image respectively based on the shapes of the objects and performing average calculation on the areas of the objects in the wavelet filtered image respectively to obtain corresponding area average values;
the region segmentation equipment is connected with the appearance processing equipment and used for receiving the area mean value and determining the number of regions obtained after region segmentation with the same size is carried out on the wavelet filtering image based on the area mean value;
the distribution ascertaining device is connected to the image smoothing device, the shape processing device and the region segmentation device, and is configured to ascertain a total area of each sub-region that is an object shape in each region, regard a region with a largest total area as an ascertained region, and send the ascertained region to the image smoothing device in place of the radiographic image.
6. The equipment replacement need analysis mechanism of claim 5, wherein:
in the region segmentation apparatus, determining the number of regions obtained after performing region segmentation of the same size on the wavelet filtered image based on the area average value includes: the smaller the area average value is, the more the number of regions obtained after the wavelet filtering image is subjected to region segmentation with the same size is;
the distribution ascertaining equipment comprises a sub-region detection unit and a sub-region comparison unit, wherein the sub-region detection unit is used for ascertaining the total area of each sub-region which is the shape of the object in each region;
the sub-region comparison unit is connected with the sub-region detection unit and is used for taking the region with the largest total area as a detection region.
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