CN109492653A - Breast lesion volume measuring method, device, computer equipment and storage medium - Google Patents
Breast lesion volume measuring method, device, computer equipment and storage medium Download PDFInfo
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- 210000000481 breast Anatomy 0.000 title claims abstract description 263
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- 206010006187 Breast cancer Diseases 0.000 description 6
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Abstract
The present invention relates to breast lesion volume measuring method, device, computer equipment and storage medium, this method includes obtaining breast ultrasound image；Breast ultrasound image is pre-processed, to obtain image to be measured；Single-frame images identification is carried out to image to be measured, obtains the breast ultrasound fringe region image of each single-frame images；Single frames breast lesion volume is calculated according to the breast ultrasound fringe region image of each single-frame images；Judge whether the breast ultrasound fringe region image of all single-frame images has calculated single frames breast lesion volume；If so, accumulative single frames breast lesion volume, to obtain breast lesion volume.The present invention, which realizes, accurately and efficiently measures breast lesion volume, reduces and repeats uninteresting repeated work.
Description
Technical field
The present invention relates to the measurement methods of breast ultrasound image, more specifically refer to breast lesion volume measuring method,
Device, computer equipment and storage medium.
Background technique
Tumour registration annual report shows, China's breast cancer incidence occupies first of female malignant, up to 43/,100,000
(every 10 Wan Renzhong has 43 patient with breast cancers), annual new cases about 210,000, (every 10 Wan Renzhong has the death rate nearly 10/,100,000
10 patient with breast cancer's death).The speedup of Chinese Breast Cancer disease incidence is twice of the average speedup in the whole world, arranges the in the whole world
One；Expert advice is by the way that conventional, regularly physical examination finds early-stage breast cancer, for getting up early breast cancer, it is only necessary to which operation can be completed
Radical cure, survival rate can also reach 90% or more within 5 years；Compared to the mammary gland screening method such as mammography, CT, MRI, breast ultrasound imaging
With can clearly show that lump in breast structure and lesion, accurately identify capsule reality lesion, fine and close mammary gland, radiationless etc. is suitble to have
Point.
Conventional ultrasound carries out mammary gland screening and beats figure manually by linear array probe manual scanning, and to the breast image of formation
Carry out manual measurement；During breast lesion volume manual measurement, the operation technique and qualification of user be will affect to mesh
The positioning of object is marked, manual errors are introduced, accuracy rate is low；And continuous repetitive operation is needed, arm is tired, cause occupational disease,
And the uninteresting dullness of manual measurement, inefficiency.
Therefore, it is necessary to design a kind of new method, realizes and accurately and efficiently measure breast lesion volume.
Summary of the invention
It is an object of the invention to overcome the deficiencies of existing technologies, breast lesion volume measuring method, device, calculating are provided
Machine equipment and storage medium.
To achieve the above object, the invention adopts the following technical scheme: breast lesion volume measuring method, comprising:
Obtain breast ultrasound image；
Breast ultrasound image is pre-processed, to obtain image to be measured；
Single-frame images identification is carried out to image to be measured, obtains the breast ultrasound fringe region image of each single-frame images；
Single frames breast lesion volume is calculated according to the breast ultrasound fringe region image of each single-frame images；
Judge whether the breast ultrasound fringe region image of all single-frame images has calculated single frames breast lesion volume；
If so, accumulative single frames breast lesion volume, to obtain breast lesion volume.
Its further technical solution are as follows: the acquisition breast ultrasound image, comprising:
Using mechanical arm control ultrasonic scanning probe, automatically and continuously patient body position is scanned, to obtain mammary gland
Ultrasound image.
Its further technical solution are as follows: it is described that breast ultrasound image is pre-processed, to obtain image to be measured, packet
It includes:
Smothing filtering is carried out to breast ultrasound image using smothing filtering technology, with the breast ultrasound figure after being denoised
Picture；
The edges of regions of galactophore image after enhancing denoising and the changing value of each vertex neighborhood intensity, to form spirogram to be measured
Picture.
Its further technical solution are as follows: it is described that single-frame images identification is carried out to image to be measured, obtain each single-frame images
Breast ultrasound fringe region image, comprising:
Planar convolution is carried out using limb recognition detective operators and image to be measured, to obtain each picture in image to be measured
The brightness difference approximation of the transverse direction and longitudinal direction of element；
According in the brightness difference approximation calculation image to be measured of the transverse direction and longitudinal direction of pixel each in image to be measured
The gradient and gradient direction of each pixel；
The breast ultrasound fringe region image of each single-frame images is obtained according to gradient and gradient direction.
Its further technical solution are as follows: described that single frames is calculated according to the breast ultrasound fringe region image of each single-frame images
Breast lesion volume, comprising:
The area of the breast ultrasound fringe region image of each single-frame images is calculated using single pixel gridding method；
Obtain the thickness of the breast ultrasound fringe region image of each single-frame images；
To area and thickness quadrature, to obtain single frames breast lesion volume.
Its further technical solution are as follows: whether the breast ultrasound fringe region image for judging all single-frame images
After calculating single frames breast lesion volume, further includes:
If so, returning described according to the breast ultrasound fringe region image of each single-frame images calculating single frames breast lesion
Volume.
The present invention also provides breast lesion volume measurement devices, comprising:
Image acquisition unit, for obtaining breast ultrasound image；
Pretreatment unit, for being pre-processed to breast ultrasound image, to obtain image to be measured；
Recognition unit obtains the breast ultrasound of each single-frame images for carrying out single-frame images identification to image to be measured
Fringe region image；
Single frames volume acquiring unit, for calculating single frames cream according to the breast ultrasound fringe region image of each single-frame images
Gland lesion volume；
Judging unit, for judging whether the breast ultrasound fringe region image of all single-frame images has calculated single frames cream
Gland lesion volume；
Accumulated unit is used for if so, adding up single frames breast lesion volume, to obtain breast lesion volume.
Its further technical solution are as follows: the pretreatment unit includes:
Subelement is denoised, for carrying out smothing filtering to breast ultrasound image using smothing filtering technology, to be denoised
Breast ultrasound image afterwards；
Enhanson, for enhancing the edges of regions of the galactophore image after denoising and the changing value of each vertex neighborhood intensity,
To form image to be measured.
The present invention also provides a kind of computer equipment, the computer equipment includes memory and processor, described to deposit
Computer program is stored on reservoir, the processor realizes above-mentioned method when executing the computer program.
The present invention also provides a kind of storage medium, the storage medium is stored with computer program, the computer journey
Sequence can realize above-mentioned method when being executed by processor.
Compared with the prior art, the invention has the advantages that: the present invention obtains breast ultrasound image by automatically scanning,
And smothing filtering and enhancing processing are carried out to breast ultrasound image, in order to the recognition detection of breast ultrasound image, and to pre-
Treated, and breast ultrasound image carries out edge detection, the breast ultrasound fringe region image of each single-frame images is identified, to every
The breast ultrasound fringe region image of one single-frame images calculates single frames breast lesion volume, then to all single frames breast lesion volumes
Accumulative survey calculation is carried out, to obtain breast lesion volume；It realizes and accurately and efficiently measures breast lesion volume, reduce weight
Multiple uninteresting repeated work.
The invention will be further described in the following with reference to the drawings and specific embodiments.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the application scenarios schematic diagram of breast lesion volume measuring method provided in an embodiment of the present invention；
Fig. 2 is the flow diagram of breast lesion volume measuring method provided in an embodiment of the present invention；
Fig. 3 is the sub-process schematic diagram of breast lesion volume measuring method provided in an embodiment of the present invention；
Fig. 4 is the sub-process schematic diagram of breast lesion volume measuring method provided in an embodiment of the present invention；
Fig. 5 is the sub-process schematic diagram of breast lesion volume measuring method provided in an embodiment of the present invention；
Fig. 6 is the single pixel gridding method schematic diagram of breast lesion volume measuring method provided in an embodiment of the present invention；
Fig. 7 is that the accumulative single frames breast lesion volume of breast lesion volume measuring method provided in an embodiment of the present invention is illustrated
Figure；
Fig. 8 is the schematic block diagram of breast lesion volume measurement device provided in an embodiment of the present invention；
Fig. 9 is the schematic block diagram of the pretreatment unit of breast lesion volume measurement device provided in an embodiment of the present invention；
Figure 10 is the schematic block diagram of the recognition unit of breast lesion volume measurement device provided in an embodiment of the present invention；
Figure 11 is the signal of the single frames volume acquiring unit of breast lesion volume measurement device provided in an embodiment of the present invention
Property block diagram；
Figure 12 is the schematic block diagram of computer equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
It should be appreciated that ought use in this specification and in the appended claims, term " includes " and "comprising" instruction
Described feature, entirety, step, operation, the presence of element and/or component, but one or more of the other feature, whole is not precluded
Body, step, operation, the presence or addition of element, component and/or its set.
It is also understood that mesh of the term used in this description of the invention merely for the sake of description specific embodiment
And be not intended to limit the present invention.As description of the invention and it is used in the attached claims, unless on
Other situations are hereafter clearly indicated, otherwise " one " of singular, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and the appended claims is
Refer to any combination and all possible combinations of one or more of associated item listed, and including these combinations.
Fig. 1 and Fig. 2 are please referred to, Fig. 1 is the application scenarios of breast lesion volume measuring method provided in an embodiment of the present invention
Schematic diagram.Fig. 2 is the schematic flow chart of breast lesion volume measuring method provided in an embodiment of the present invention.The mastosis stove
Product measurement method is applied in server.Breast lesion cubing platform is deployed in the server, with user terminal and
Ultrasonic scanning probe carries out data interaction, and the breast ultrasound image of ultrasonic scanning scanning probe is sent to the server, takes
It is engaged in after device progress breast lesion volume calculating, result is sent to the user terminal display.
Wherein, the user of user terminal is the medical staff of hospital, such as doctor, can be sent and be surveyed by user terminal
After amount demand, ultrasonic scanning probe is scanned, and is received the image from server and carried out volume calculating and to user terminal
Feed back calculated result.
Fig. 2 is the flow diagram of breast lesion volume measuring method provided in an embodiment of the present invention.As shown in Fig. 2, should
Method includes the following steps S110 to S160.
S110, breast ultrasound image is obtained.
In the present embodiment, breast ultrasound image refers to the image formed using ultrasonic scanning mammary gland, and the mammary gland is super
Acoustic image is the ultrasonic volume data image set of mammary gland.
Specifically, using mechanical arm control ultrasonic scanning probe, automatically and continuously patient body position is scanned, with
To breast ultrasound image.
It is fixed between the mechanical arm and ultrasonic scanning probe using clamping jaw structure, passes through starting building certainly for driving mechanical arm
Make, can automatically scanning mammary gland, solve the problems, such as low efficiency and malfunction when the manual scanning in breast ultrasound.
S120, breast ultrasound image is pre-processed, to obtain image to be measured.
In the present embodiment, image to be measured refers to breast ultrasound image is denoised and constructed emphasize processing after
Form image.
Smothing filtering is carried out to breast ultrasound image, partial noise is eliminated, the region of breast ultrasound image is constructed
It emphasizes to handle, stronger using the strong region of mammary region image brightness values, the weak region of edge brightness value is weaker, mammary gland of being more convenient for
The recognition detection of ultrasound image, to improve the accuracy of measurement.
In one embodiment, as shown in figure 3, above-mentioned step S120 may include having step S121~S122.
S121, smothing filtering is carried out to breast ultrasound image using smothing filtering technology, it is super with the mammary gland after being denoised
Acoustic image.
Breast ultrasound image contains much noise, these noises have bright, and what is had is dark, has many noises, influences to mammary gland
The detection at the edge of ultrasound image judges, is pre-processed using smothing filtering technology to breast ultrasound image, after treatment,
The most noise background in breast ultrasound image can be substantially reduced, the breast ultrasound image obtained in this way is more obvious.
Smothing filtering is the filter in spatial domain technology of low frequency enhancing, its purpose has two classes: one kind is fuzzy；It is another kind of to be
Eliminate noise.The smothing filtering of spatial domain generally uses simple average method to carry out, and exactly seeks the average brightness value of neighbouring pixel point,
In the present embodiment, Gaussian filter can be used or median filter carries out smothing filtering.
The edges of regions of galactophore image after S122, enhancing denoising and the changing value of each vertex neighborhood intensity, it is to be measured to be formed
Spirogram picture.
In the present embodiment, in addition to denoising, also to enhance edge brightness, in order to obtain one convenient for identification edge to
Measure image.In the brightness for enhancing galactophore image edge, the mammary gland after specifically being denoised using the method enhancing that construction is emphasized is super
The brightness in acoustic image region, to form image to be measured.
In breast ultrasound image transmitting process, due to the influence of many reasons, breast ultrasound image quality decrease is caused；
Enhancing processing to the breast ultrasound image after denoising, the area image edge each point of the breast ultrasound image after enhancing denoising are adjacent
The changing value of domain intensity, construction emphasizes that the point that neighborhood (or part) intensity value has significant change highlights, to reach cream
The mammary region brightness of image of gland ultrasound image is more obvious, convenient for dividing the region of breast lesion and then improving measurement mastosis
Stove；The changing value of each vertex neighborhood intensity in area image edge of breast ultrasound image after enhancing denoising refers to enhancing mammary gland
The changing value in breast lesion region and each vertex neighborhood intensity in ultrasound image.
S130, single-frame images identification is carried out to image to be measured, obtains the breast ultrasound fringe region of each single-frame images
Image.
In the present embodiment, the breast ultrasound fringe region image of each single-frame images refers to single frames image to be measured
The pixel profile region of mammary region.By the gray difference of breast ultrasound image and surrounding tissue image, mammary region is obtained
Pixel profile region, in order to determine the region that specifically needs to measure.
In one embodiment, as shown in figure 4, above-mentioned step S130 may include step S131~S133.
S131, planar convolution is carried out using limb recognition detective operators and image to be measured, to obtain in image to be measured
The brightness difference approximation of the transverse direction and longitudinal direction of each pixel；
Limb recognition detective operators include the matrix of two groups of 3x3, respectively cross form and vertical framework, by limb recognition
Detective operators and image make planar convolution, can obtain the brightness difference approximation of transverse direction and longitudinal direction respectively.Wherein, above-mentioned side
The cross form of edge recognition detection operator isVertical framework is
S132, the brightness difference approximation calculation spirogram to be measured according to the transverse direction and longitudinal direction of pixel each in image to be measured
The gradient and gradient direction of each pixel as in.
Gradient and gradient direction represent the variation of the feature vector in each pixel, obtain mammary region edge graph；
The variation of feature vector in each pixel is exactly the variation of the brightness value of image, that is, the variation of gradient.
The gradient of each pixel can be calculated using the following equation in image to be measured:Wherein, Gx1
For the lateral brightness difference approximation of each pixel in image to be measured, Gy1For the longitudinal direction of each pixel in image to be measured
Brightness difference approximation.
The gradient direction of each pixel can be calculated using the following equation in image to be measured:Wherein,
Gx1For the lateral brightness difference approximation of each pixel in image to be measured, Gy1For in image to be measured each pixel it is vertical
To brightness difference approximation.
S133, the breast ultrasound fringe region image that each single-frame images is obtained according to gradient and gradient direction.
It in the present embodiment, can be by the gradient and gradient direction when gradient and gradient direction, which meet, to impose a condition
The pixel at place can obtain the breast ultrasound edge of each single-frame images as any on the edge line of mammary region in this way
Area image specifically can preset the threshold value and gradient direction threshold value of gradient, the gradient and gradient that will acquire
Direction is compared with corresponding threshold value, is then the pixel where the gradient and gradient direction more than the threshold value as mammary gland
On edges of regions line a bit, on the contrary then where the gradient and gradient direction pixel is not on the edge line of mammary region
A bit.
S140, single frames breast lesion volume is calculated according to the breast ultrasound fringe region image of each single-frame images.
In the present embodiment, single frames breast lesion volume refers to the breast lesion volume of each single-frame images.
In one embodiment, as shown in figure 5, above-mentioned step S140 may include having step S141~S143.
S141, calculated using single pixel gridding method each single-frame images breast ultrasound fringe region image area；
S142, obtain each single-frame images breast ultrasound fringe region image thickness；
S143, to area and thickness quadrature, to obtain single frames breast lesion volume.
As shown in fig. 6, specifically, according to the single pixel area in the breast ultrasound fringe region image of each single-frame images
And single pixel number in the breast ultrasound fringe region image of each single-frame images, calculate the mammary gland for obtaining each single-frame images
The area of ultrasonic fringe region image indicates that mammary gland is actual multiplied by the breast ultrasound fringe region image of each single-frame images
Thickness, to obtain single frames breast lesion volume.
The calculation formula of the area of the breast ultrasound fringe region image of each single-frame images is S=(N-1+L/2) * D；S
Indicate that the area of the breast ultrasound fringe region image of each single-frame images, N indicate the breast ultrasound edge of each single-frame images
Pixel number in area image, L are expressed as the point on the edge line of the breast ultrasound fringe region image of each single-frame images
Subnumber, D indicate single pixel value；
Single frames breast lesion volume calculation formula is as follows: V=S*H；V indicates single frames breast lesion volume, and S indicates each list
The area of the breast ultrasound fringe region image of frame image, H indicate the breast ultrasound fringe region image of each single-frame images
Thickness；So as to measure each single-frame images breast ultrasound fringe region image single frames breast lesion volume.
S150, judge whether the breast ultrasound fringe region image of all single-frame images has calculated single frames mastosis stove
Product.
In the present embodiment, it needs that the breast ultrasound fringe region image of all single-frame images is carried out calculating corresponding list
Frame breast lesion volume, in order to calculate complete breast lesion volume.
S160, if so, accumulative single frames breast lesion volume, to obtain breast lesion volume.
As shown in fig. 7, to the mammary region lesion volume of the every frame image of the volume data of breast ultrasound, i.e. single frames breast lesion
Volume is overlapped calculating, to obtain the breast lesion volume of entire breast ultrasound image；As specific formula is as follows: VAlways=V1
+V2+….+Vn, VAlwaysRefer to the breast lesion volume of entire breast ultrasound image, V1~VnRefer to the cream of all single-frame images
The corresponding single frames breast lesion volume of gland ultrasound fringe region image.
Above-mentioned breast lesion volume measuring method obtains breast ultrasound image by automatically scanning, and to breast ultrasound
Image carries out smothing filtering and enhancing processing, in order to the recognition detection of breast ultrasound image, and to pretreated mammary gland
Ultrasound image carries out edge detection, the breast ultrasound fringe region image of each single-frame images is identified, to each single-frame images
Breast ultrasound fringe region image calculates single frames breast lesion volume, then carries out accumulative measurement to all single frames breast lesion volumes
It calculates, to obtain breast lesion volume；It realizes and accurately and efficiently measures breast lesion volume, reduce and repeat uninteresting repetition
Work.
Fig. 8 is a kind of schematic block diagram of breast lesion volume measurement device 300 provided in an embodiment of the present invention.Such as Fig. 8
It is shown, correspond to the above breast lesion volume measuring method, the present invention also provides a kind of breast lesion volume measurement devices 300.
The breast lesion volume measurement device 300 includes the unit for executing above-mentioned breast lesion volume measuring method, which can
To be configured in server.
Specifically, referring to Fig. 8, the breast lesion volume measurement device 300 includes:
Image acquisition unit 301, for obtaining breast ultrasound image；
Pretreatment unit 302, for being pre-processed to breast ultrasound image, to obtain image to be measured；
Recognition unit 303, for carrying out single-frame images identification to image to be measured, the mammary gland for obtaining each single-frame images is super
Sound fringe region image；
Single frames volume acquiring unit 304, it is single for being calculated according to the breast ultrasound fringe region image of each single-frame images
Frame breast lesion volume；
Judging unit 305, for judging whether the breast ultrasound fringe region image of all single-frame images has calculated list
Frame breast lesion volume；
Accumulated unit 306 is used for if so, adding up single frames breast lesion volume, to obtain breast lesion volume.
In one embodiment, as shown in figure 9, the pretreatment unit 302 includes:
Subelement 3021 is denoised, for carrying out smothing filtering to breast ultrasound image using smothing filtering technology, to obtain
Breast ultrasound image after denoising；
Enhanson 3022, the variation of edges of regions and each vertex neighborhood intensity for enhancing the galactophore image after denoising
Value, to form image to be measured.
In one embodiment, as shown in Figure 10, the recognition unit 303 includes:
Approximation obtains subelement 3031, for carrying out plane volume using limb recognition detective operators and image to be measured
Product, to obtain the brightness difference approximation of the transverse direction and longitudinal direction of each pixel in image to be measured；
Gradient and direction calculating subelement 3032, for according to the bright of the transverse direction and longitudinal direction of pixel each in image to be measured
Degree difference approximation value calculates the gradient and gradient direction of each pixel in image to be measured；
Area image obtains subelement 3033, for obtaining the mammary gland of each single-frame images according to gradient and gradient direction
Ultrasonic fringe region image.
In one embodiment, as shown in figure 11, the single frames volume acquiring unit 304 includes:
Areal calculation subelement 3041, for calculating the breast ultrasound edge of each single-frame images using single pixel gridding method
The area of area image；
Thickness subelement 3042, the thickness of the breast ultrasound fringe region image for obtaining each single-frame images；
Quadrature subelement 3043 is used for area and thickness quadrature, to obtain single frames breast lesion volume.
It should be noted that it is apparent to those skilled in the art that, above-mentioned breast lesion cubing
The specific implementation process of device 300 and each unit, can be with reference to the corresponding description in preceding method embodiment, for the side of description
Just and succinctly, details are not described herein.
Above-mentioned breast lesion volume measurement device 300 can be implemented as a kind of form of computer program, the computer journey
Sequence can be run in computer equipment as shown in figure 12.
Figure 12 is please referred to, Figure 12 is a kind of schematic block diagram of computer equipment provided by the embodiments of the present application.The calculating
Machine equipment 500 can be server, wherein server can be independent server, be also possible to multiple server compositions
Server cluster.
Refering to fig. 12, which includes processor 502, memory and the net connected by system bus 501
Network interface 505, wherein memory may include non-volatile memory medium 503 and built-in storage 504.
The non-volatile memory medium 503 can storage program area 5031 and computer program 5032.The computer program
5032 include program instruction, which is performed, and processor 502 may make to execute a kind of breast lesion cubing side
Method.
The processor 502 is for providing calculating and control ability, to support the operation of entire computer equipment 500.
The built-in storage 504 provides environment for the operation of the computer program 5032 in non-volatile memory medium 503, should
When computer program 5032 is executed by processor 502, processor 502 may make to execute a kind of breast lesion volume measuring method.
The network interface 505 is used to carry out network communication with other equipment.It will be understood by those skilled in the art that in Figure 12
The structure shown, only the block diagram of part-structure relevant to application scheme, does not constitute and is applied to application scheme
The restriction of computer equipment 500 thereon, specific computer equipment 500 may include more more or fewer than as shown in the figure
Component perhaps combines certain components or with different component layouts.
Wherein, the processor 502 is for running computer program 5032 stored in memory, to realize following step
It is rapid:
Obtain breast ultrasound image；
Breast ultrasound image is pre-processed, to obtain image to be measured；
Single-frame images identification is carried out to image to be measured, obtains the breast ultrasound fringe region image of each single-frame images；
Single frames breast lesion volume is calculated according to the breast ultrasound fringe region image of each single-frame images；
Judge whether the breast ultrasound fringe region image of all single-frame images has calculated single frames breast lesion volume；
If so, accumulative single frames breast lesion volume, to obtain breast lesion volume.
In one embodiment, processor 502 is implemented as follows step when realizing the acquisition breast ultrasound image step
It is rapid:
Using mechanical arm control ultrasonic scanning probe, automatically and continuously patient body position is scanned, to obtain mammary gland
Ultrasound image.
In one embodiment, processor 502 realize it is described breast ultrasound image is pre-processed, it is to be measured to obtain
When image step, it is implemented as follows step:
Smothing filtering is carried out to breast ultrasound image using smothing filtering technology, with the breast ultrasound figure after being denoised
Picture；
The edges of regions of galactophore image after enhancing denoising and the changing value of each vertex neighborhood intensity, to form spirogram to be measured
Picture.
In one embodiment, processor 502 is described to image to be measured progress single-frame images identification in realization, obtains each
When the breast ultrasound fringe region image step of single-frame images, it is implemented as follows step:
Planar convolution is carried out using limb recognition detective operators and image to be measured, to obtain each picture in image to be measured
The brightness difference approximation of the transverse direction and longitudinal direction of element；
According in the brightness difference approximation calculation image to be measured of the transverse direction and longitudinal direction of pixel each in image to be measured
The gradient and gradient direction of each pixel；
The breast ultrasound fringe region image of each single-frame images is obtained according to gradient and gradient direction.
In one embodiment, processor 502 is realizing the breast ultrasound fringe region figure according to each single-frame images
When as calculating single frames breast lesion debulking step, it is implemented as follows step:
The area of the breast ultrasound fringe region image of each single-frame images is calculated using single pixel gridding method；
Obtain the thickness of the breast ultrasound fringe region image of each single-frame images；
To area and thickness quadrature, to obtain single frames breast lesion volume.
In one embodiment, processor 502 is in the breast ultrasound fringe region figure for realizing all single-frame images of judgement
Seem it is no calculated single frames breast lesion debulking step after, be implemented as follows step:
If so, returning described according to the breast ultrasound fringe region image of each single-frame images calculating single frames breast lesion
Volume.
It should be appreciated that in the embodiment of the present application, processor 502 can be central processing unit (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..Wherein, general processor can be microprocessor or
Person's processor is also possible to any conventional processor etc..
Those of ordinary skill in the art will appreciate that be realize above-described embodiment method in all or part of the process,
It is that relevant hardware can be instructed to complete by computer program.The computer program includes program instruction, computer journey
Sequence can be stored in a storage medium, which is computer readable storage medium.The program instruction is by the department of computer science
At least one processor in system executes, to realize the process step of the embodiment of the above method.
Therefore, the present invention also provides a kind of storage mediums.The storage medium can be computer readable storage medium.This is deposited
Storage media is stored with computer program, and processor is made to execute following steps when wherein the computer program is executed by processor:
Obtain breast ultrasound image；
Breast ultrasound image is pre-processed, to obtain image to be measured；
Single-frame images identification is carried out to image to be measured, obtains the breast ultrasound fringe region image of each single-frame images；
Single frames breast lesion volume is calculated according to the breast ultrasound fringe region image of each single-frame images；
Judge whether the breast ultrasound fringe region image of all single-frame images has calculated single frames breast lesion volume；
If so, accumulative single frames breast lesion volume, to obtain breast lesion volume.
In one embodiment, the processor realizes the acquisition breast ultrasound image executing the computer program
When step, it is implemented as follows step:
Using mechanical arm control ultrasonic scanning probe, automatically and continuously patient body position is scanned, to obtain mammary gland
Ultrasound image.
In one embodiment, the processor execute the computer program and realize it is described to breast ultrasound image into
Row pretreatment, when obtaining image step to be measured, is implemented as follows step:
Smothing filtering is carried out to breast ultrasound image using smothing filtering technology, with the breast ultrasound figure after being denoised
Picture；
The edges of regions of galactophore image after enhancing denoising and the changing value of each vertex neighborhood intensity, to form spirogram to be measured
Picture.
In one embodiment, the processor is realized described to image to be measured progress in the execution computer program
Single-frame images identification, when obtaining the breast ultrasound fringe region image step of each single-frame images, is implemented as follows step:
Planar convolution is carried out using limb recognition detective operators and image to be measured, to obtain each picture in image to be measured
The brightness difference approximation of the transverse direction and longitudinal direction of element；
According in the brightness difference approximation calculation image to be measured of the transverse direction and longitudinal direction of pixel each in image to be measured
The gradient and gradient direction of each pixel；
The breast ultrasound fringe region image of each single-frame images is obtained according to gradient and gradient direction.
In one embodiment, the processor is realized described according to each single-frame images in the execution computer program
Breast ultrasound fringe region image calculate single frames breast lesion debulking step when, be implemented as follows step:
The area of the breast ultrasound fringe region image of each single-frame images is calculated using single pixel gridding method；
Obtain the thickness of the breast ultrasound fringe region image of each single-frame images；
To area and thickness quadrature, to obtain single frames breast lesion volume.
In one embodiment, the processor realizes all single-frame images of judgement executing the computer program
Breast ultrasound fringe region image whether calculated single frames breast lesion debulking step after, also realization following steps:
If so, returning described according to the breast ultrasound fringe region image of each single-frame images calculating single frames breast lesion
Volume.
The storage medium can be USB flash disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), magnetic disk
Or the various computer readable storage mediums that can store program code such as CD.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware
With the interchangeability of software, each exemplary composition and step are generally described according to function in the above description.This
A little functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Specially
Industry technical staff can use different methods to achieve the described function each specific application, but this realization is not
It is considered as beyond the scope of this invention.
In several embodiments provided by the present invention, it should be understood that disclosed device and method can pass through it
Its mode is realized.For example, the apparatus embodiments described above are merely exemplary.For example, the division of each unit, only
Only a kind of logical function partition, there may be another division manner in actual implementation.Such as multiple units or components can be tied
Another system is closed or is desirably integrated into, or some features can be ignored or not executed.
The steps in the embodiment of the present invention can be sequentially adjusted, merged and deleted according to actual needs.This hair
Unit in bright embodiment device can be combined, divided and deleted according to actual needs.In addition, in each implementation of the present invention
Each functional unit in example can integrate in one processing unit, is also possible to each unit and physically exists alone, can also be with
It is that two or more units are integrated in one unit.
If the integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product,
It can store in one storage medium.Based on this understanding, technical solution of the present invention is substantially in other words to existing skill
The all or part of part or the technical solution that art contributes can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, terminal or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
Those familiar with the art in the technical scope disclosed by the present invention, can readily occur in various equivalent modifications or replace
It changes, these modifications or substitutions should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with right
It is required that protection scope subject to.
Claims (10)
1. breast lesion volume measuring method characterized by comprising
Obtain breast ultrasound image；
Breast ultrasound image is pre-processed, to obtain image to be measured；
Single-frame images identification is carried out to image to be measured, obtains the breast ultrasound fringe region image of each single-frame images；
Single frames breast lesion volume is calculated according to the breast ultrasound fringe region image of each single-frame images；
Judge whether the breast ultrasound fringe region image of all single-frame images has calculated single frames breast lesion volume；
If so, accumulative single frames breast lesion volume, to obtain breast lesion volume.
2. breast lesion volume measuring method according to claim 1, which is characterized in that the acquisition breast ultrasound figure
Picture, comprising:
Using mechanical arm control ultrasonic scanning probe, automatically and continuously patient body position is scanned, to obtain breast ultrasound
Image.
3. breast lesion volume measuring method according to claim 1, which is characterized in that it is described to breast ultrasound image into
Row pretreatment, to obtain image to be measured, comprising:
Smothing filtering is carried out to breast ultrasound image using smothing filtering technology, with the breast ultrasound image after being denoised；
The edges of regions of galactophore image after enhancing denoising and the changing value of each vertex neighborhood intensity, to form image to be measured.
4. breast lesion volume measuring method according to claim 3, which is characterized in that described to be carried out to image to be measured
Single-frame images identification, obtains the breast ultrasound fringe region image of each single-frame images, comprising:
Planar convolution is carried out using limb recognition detective operators and image to be measured, to obtain each pixel in image to be measured
The brightness difference approximation of transverse direction and longitudinal direction；
According to each in the brightness difference approximation calculation image to be measured of the transverse direction and longitudinal direction of pixel each in image to be measured
The gradient and gradient direction of pixel；
The breast ultrasound fringe region image of each single-frame images is obtained according to gradient and gradient direction.
5. breast lesion volume measuring method according to claim 4, which is characterized in that described according to each single-frame images
Breast ultrasound fringe region image calculate single frames breast lesion volume, comprising:
The area of the breast ultrasound fringe region image of each single-frame images is calculated using single pixel gridding method；
Obtain the thickness of the breast ultrasound fringe region image of each single-frame images；
To area and thickness quadrature, to obtain single frames breast lesion volume.
6. breast lesion volume measuring method according to any one of claims 1 to 5, which is characterized in that the judgement institute
After thering is the breast ultrasound fringe region image of single-frame images whether to calculate single frames breast lesion volume, further includes:
If so, returning described according to the breast ultrasound fringe region image of each single-frame images calculating single frames mastosis stove
Product.
7. breast lesion volume measurement device characterized by comprising
Image acquisition unit, for obtaining breast ultrasound image；
Pretreatment unit, for being pre-processed to breast ultrasound image, to obtain image to be measured；
Recognition unit obtains the breast ultrasound edge of each single-frame images for carrying out single-frame images identification to image to be measured
Area image；
Single frames volume acquiring unit, for calculating single frames mastosis according to the breast ultrasound fringe region image of each single-frame images
Stove product；
Judging unit, for judging whether the breast ultrasound fringe region image of all single-frame images has calculated single frames mastosis
Stove product；
Accumulated unit is used for if so, adding up single frames breast lesion volume, to obtain breast lesion volume.
8. breast lesion volume measurement device according to claim 7, which is characterized in that the pretreatment unit includes:
Subelement is denoised, for carrying out smothing filtering to breast ultrasound image using smothing filtering technology, after being denoised
Breast ultrasound image；
Enhanson, for enhancing the edges of regions of the galactophore image after denoising and the changing value of each vertex neighborhood intensity, with shape
At image to be measured.
9. a kind of computer equipment, which is characterized in that the computer equipment includes memory and processor, on the memory
It is stored with computer program, the processor is realized as described in any one of claims 1 to 6 when executing the computer program
Method.
10. a kind of storage medium, which is characterized in that the storage medium is stored with computer program, the computer program quilt
Processor can be realized when executing such as method described in any one of claims 1 to 6.
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