CN206003162U - Liver 3-D view dynamic demonstration device based on big data - Google Patents

Abstract

This utility model discloses a kind of liver 3-D view dynamic demonstration device based on big data, including：The data reception module obtaining the CT image for liver of the DICOM format of specific liver, the 3-D view processing module generating specific liver 3-D view, the liver information database of the classification specific liver 3-D view of storage and dynamic demonstration module.Wherein, 3-D view processing module includes：Image semantic classification submodule, liver extracting sub-module and image rendering submodule.Image semantic classification submodule carries out image smoothing and image enhancement processing to every width CT image for liver.Liver extracting sub-module segmentation hepatic data image is to detect liver contour edge and to extract liver contour line.CT image for liver after splitting is constructed some volume data units according to corresponding real space position between often adjacent two width CT image for liver by image rendering submodule, obtains specific liver 3-D view by every individual data items unit is carried out with Shear Transform and two dimensional image deformation.

Description

Liver 3-D view dynamic demonstration device based on big data

Technical field

This utility model is related to a kind of medical image processing system, particularly to a kind of medical image three-dimensional visualization system System.

Background technology

Three-dimensional reconstruction refers to the view data using the output of the medical imaging devices such as CT, MRI, selects as needed to close Suitable three-dimensional reconstruction algorithm, obtains the tripleplane's image that can be observed from visual angle, and such diagnostician is just permissible Easily inspections and examinations are carried out to the structure of inside of human body tissue or organ.By targetedly being processed to medical image Afterwards, recycle three-dimensional reconstruction to construct the threedimensional model of tissue or organ, then on the display screen threedimensional model is entered Row display, for doctor's organ interested, can also extract the qualitative or quantitative letter such as its size, shape and locus Breath, is easy to analyze.Three-dimensional reconstruction with so that medical worker can more directly perceived, quantitatively to human internal organs Three dimensional structure watched, can also according to various disease diagnosis need strengthen image in original some details, thus What help doctor was more prone to makes correct medical diagnosis on disease.

The three-dimensional visualization technique of medical image refers to the two-dimensional slice image sequence exporting medical imaging device again Combination is redeveloped into 3-dimensional image model, and the model after rebuilding is carried out with the technology of qualitative and quantitative analysis.Since 90 years last century The appearance of three-dimensional since generation, irregular and visualization problem to body-measure data is so that medical image visualizes grinding of field Study carefully and develop towards diversified direction.Some research institutions external or company oneself can be in medical domain through investigated some Carry out reconstruction of medical images or the Medical Image Visualization System of practical application, such as the ANALYZE system of the U.S., 3DvIEwNIx system, Canadian VI ew wand system, COvmA system of Holland etc., but there is major part in these systems Be all and medical imaging equipment binding, and price is expensive, all kinds view data that these systems are supported visual Change analytic function, be typically based on high-grade work station, the common PC of current mainstream configuration runs also relatively difficult.China exists The research of medical image visualization aspect is still within the starting stage.Existing most systems actual medical application function is also not Perfect to the greatest extent, also do not reach the most of requirement carrying out required for clinical treatment diagnosis.

Chinese population is numerous, is hepatopathy big country, and the liver 3-D view that conventional helical CT is rebuild remains two-dimensional structure, faces Bed doctor can only by rule of thumb by multi-Slice CT Image estimation size of tumor, shape and position, and observe when can only be with fixation side Formula is carried out, and so obtained diagnostic result necessarily carries the subjective judgment of doctor, and therefore deagnostic structure is whether accurate very big Degree has very big relation with the clinical experience of doctor.

A kind of Shear-Warp based on anisotropy volume data as disclosed in Chinese patent application 201010185884.4 Object plotting method, obtains finally including construction three-dimensional data field, Shear-Warp decomposition, resampling, synthetic mesophase image, deformation The steps such as image.Step is as follows：Step 1, reading view data construction three-dimensional data field；Step 2, Shear-Warp decompose；Step Rapid 3, resampling；Step 4, synthetic mesophase image；Step 5, intermediate image is done with deformation operation, form final image；Step 6, Final three-dimensional effect image is shown to screen.However, being somebody's turn to do the Shear-Warp object plotting method based on anisotropy volume data Provide only the method for three-dimensional reconstruction it is impossible to shared digitized hepatic data, shared knowledge it is impossible to according to user need clear, Intuitively observe the tubing anatomic differences such as liver internal blood vessel.

A kind of and for example method building three-dimensional brain model disclosed in Chinese patent application 201210017228.2, with magnetic altogether The head sagittal plain thin layer that shakes is imaged, and the data of the T1DICOM form obtaining is raw data, and raw data is converted into bmp lattice The image of formula.Isolate target image from the image of bmp form, gained target image imports three-dimensional reconstruction software, and sky sets Position, production mask, the three-dimensional roughcast of structure between fixed.Three-dimensional roughcast carries out the process of fall face and is changed into bottom surface object module, finally low Area Objects model is associated with the initial data of T1DICOM form, obtains 3 D stereo brain model.However, this structure is three-dimensional The method of brain model cannot interact display three-dimensional image, also cannot realize to three-dimensional image any direction, any portion The cutting of position.

For another example a kind of liver subsection method based on CT image disclosed in Chinese patent 200810197660.8, the method First pretreatment is carried out to abdominal part MSCTP arterial phase and Portal venous phase sequence image, automatically split liver profile and obtain liver Image；Secondly using the multi-scale filtering method based on Hessian matrix, blood vessel is strengthened, using segmentations such as region growths Method is partitioned into hepatic portal vein, and extracts hepatoportal centrage using three-dimensional topology thinning method；Blood vessel interaction classification Labelling；Calculated using range conversion and Voronoi algorithm afterwards, and using liver profile carry out value cover obtain segmentation knot Really, finally reconstruct three-dimensional liver subsection result.System includes liver segmentation module, and blood vessel strengthens segmentation and refinement module, blood Pipe diversity module, liver subsection module and three-dimensional reconstruction module.However, should the liver subsection method based on CT image cannot interact Display liver three dimensional CT stereo-picture, also cannot realize the cutting to liver three dimensional CT stereo-picture any direction, any part, Accurate evaluation cannot be made to the clinical risk of hepatic disease.

Therefore it provides a kind of complete function, convenient in real time, data volume are big, be easy to the digitized hepatic data that popularizes Shared platform, to allow the user thinking understanding/research liver architecture can conveniently and efficiently retrieve the liver of its type interested Three-dimensional construction is industry urgent problem.

Content of the invention

The purpose of this utility model is to provide a kind of liver 3-D view dynamic demonstration device based on big data, and it passes through Build hepatic data storehouse platform, be on the one hand easy to collect a large amount of liver cases and form liver big data, be on the other hand easy to doctor/ Scholar is carried out academic research and is exchanged based on this platform.

According to one side of the present utility model, provide a kind of dress of the liver 3-D view dynamic demonstration based on big data Put, including：For obtaining the number of at least ten width CT image for liver of the DICOM format taking from different cross section for specific liver According to receiver module, for based at least ten width CT image for liver generate specific liver 3-D views 3-D view processing module, For being derived from the liver of the specific liver 3-D view of 3-D view processing module according to the source-information classification storage of specific liver Dirty information database and the dynamic demonstration module for dynamic demonstration specific liver 3-D view.Wherein, 3-D view is processed Module includes setting gradually：Image semantic classification submodule, liver extracting sub-module and image rendering submodule, image is located in advance Reason submodule carries out image smoothing and image enhancement processing to the every width CT image for liver at least ten width CT image for liver successively, Liver extracting sub-module splits pretreated hepatic data image to detect liver contour edge and to extract liver contour line, figure As rendering submodule by least ten width CT image for liver after splitting according to corresponding real space sequence of positions often adjacent two Some volume data units are constructed between width CT image for liver, and by Shear Transform and two dimension are carried out to every individual data items unit Anamorphose is thus obtain specific liver 3-D view.

Selectively, the source-information of specific liver includes at least：Ill type, Gender, patient age, life ground Area and medical hospital.

Selectively, the source-information of specific liver can also comprise：Minimal invasive treatment's custom, biochemical analysis information, patient Classical symptom, sign, medical image, diagnostic imaging result, therapeutic scheme, untoward reaction and attending doctor etc..

Selectively, Image semantic classification submodule includes the image smoothing unit setting gradually and image enhancing unit. Image smoothing unit directly carries out calculation process to every width CT image for liver grey scale pixel value in the spatial domain using spatial domain method, filter Except the noise in every width CT image for liver.Image enhancing unit is used for every width liver through smoothing processing for the sharpening enhancement process CT image is to increase the sharpness of every width CT image for liver.

Selectively, image smoothing unit every width CT image for liver is smoothed can select neighborhood averaging or Median filtering method.

Neighborhood averaging is a kind of image smoothing side that using Box masterplate, image is carried out with Stencil operation (convolution algorithm) Method, for each of image pixel, takes a region centered on it, is put down with the weighting of each pixel grey scale in this region Average replaces the gray value of this pixel, and so-called Box masterplate refers to that all coefficients in masterplate all take the masterplate of identical value, and conventional 3 × 3 and 5 × 5 masterplates are as follows：

G (x, y)=1/M ∑ f (x, y)

In formula：X, y=0,1 ..., N-1；S is the set of the neighborhood centered on (x, y), and M is the points in S.

Median filtering method is a kind of nonlinear smoothing technology, and the gray value of each pixel is set to this point neighborhood by it The intermediate value of all pixels point gray value in window.Medium filtering is effectively to suppress noise based on the theoretical one kind of sequencing statistical Nonlinear signal processing technology, the ultimate principle of medium filtering is this point of value any in digital picture or Serial No. A neighborhood in the Mesophyticum of each point value replace, allow the close actual value of pixel value of surrounding, thus eliminating isolated noise spot. Method is the two-dimentional sleiding form with certain structure, and pixel in plate is ranked up according to the size of pixel value, generates in dullness Rise (or decline) for 2-D data sequence.Two dimension median filter is output as g (x, y)=med { f (x-k, y-l), (k, l ∈ W) }, wherein, f (x, y), g (x, y) are respectively image after original image and process.W is two dimension pattern plate, usually 3 × 3,5 × 5 Region or different shapes, such as wire, circular, cross, annular etc..

Selectively, image enhancement module every width CT image for liver is carried out enhancement process be only concerned marginal point position and The actual grey ignored about is poor, can sharpen method using differential and carry out enhancement process to image, such as in image enhancement module Laplacian spectral radius method.

Selectively, liver extracting sub-module includes setting gradually liver positioning unit, cutting unit, border detection list Unit and frontier tracing unit.Liver positioning unit is automatically positioned out every width CT image for liver by liver volume and liver intensity In liver position.Cutting unit passes through every width CT image for liver of B-spline elastic registrating preprocessed submodule output, utilizes Self adaptation carries out segmentation and obtains splitting hepatic portion image to every width CT image for liver.Boundary detection unit passes through method of differential operator Investigate the change of each pixel gray scale in any neighborhood in segmentation hepatic portion image, according to any neighborhood of each pixel one Liver boundary point is oriented in rank and/or Second order directional change.Frontier tracing unit passes through to search for adjacent liver boundary successively Point, is sequentially connected boundary point thus progressively detecting that liver boundary obtains the liver profile determining.

Selectively, after cutting unit segmentation obtains splitting hepatic portion image, remove segmentation using Hole filling algorithms Hepatic portion image carries out said minuscule hole and the incorrect link producing in cutting procedure, then removes segmentation liver using region growth method The excess tissue of dirty parts of images, the inner void of filling segmentation hepatic portion image, finally carries out contour revising further.

Selectively, boundary detection unit can be by methods such as Sobel operator, Roberts operator and Kirsch operators Positioning liver boundary point.

Selectively, frontier tracing unit determines that the step of liver contour line is：Find out the 1st of segmentation hepatic portion image the Individual boundary point is as start boundary point.With this start boundary point as starting point, the border according to image should be continuous this One feature, is tracked to specific direction.It is exactly specifically, from the beginning of the 1st boundary point found out, to define initial searching Suo Fangxiang is along lower left, if the pixel of lower left is boundary point, is added into border chained list, and its blacking represents It is a boundary point；Otherwise 45 degree of tracking direction rotate counterclockwise.Till so finding a new boundary point always, then search Suo Fangxiang dextrorotation on the basis of current tracking direction turn 90 degrees, and continues to follow the tracks of next border with same method Point, till returning start boundary point, obtains liver profile.

Selectively, frontier tracing unit can also select manually to extract liver profile, selects segmentation hepatic portion image The obvious point of middle change, as characteristic point, is smoothed after being linked to be broken line obtaining liver profile.

Selectively, image rendering submodule includes the Shear Transform unit setting gradually and two dimensional image deformation is single Unit.The every individual data items constructing in the liver profile of determination are converted into middle coordinate system, middle coordinate by Shear Transform unit The Z axis of system are overlapped with direction of observation, and the ray sending from viewpoint obtains intermediate image perpendicular to middle coordinate system XOY plane.Two Dimension anamorphose unit application two dimensional image deformation matrix carries out two dimensional image change to the intermediate image that Shear Transform unit obtains Change, intermediate image is converted into screen picture space and obtains liver three-dimensional CT image.

Selectively, the Shear Transform unit of image rendering submodule further includes that spatial alternation setting gradually is single Unit and intermediate image synthesis subelement.Wherein, spatial alternation subelement according to viewpoint with respect to determine liver profile in structure The direction of observation of the every individual data items produced sets up middle coordinate system, and the Z axis of middle coordinate system are overlapped with direction of observation, by each Volume data transforms to mistake by object space and cuts object space.Intermediate image synthesizes each of the every individual data items after mistake is cut by subelement Sampled point cuts the mid-plane of object space in mistake after carrying out color and the interpolation calculation of opacity in wrong tangent space respectively In synthesize intermediate image.

Wherein, in spatial alternation subelement, every individual data items transform to mistake by object space after perspective projection resume module Cut object space, perspective projection module includes datum plane translating sections and transformation of scale part.

Selectively, dynamic demonstration module includes the interactive display unit setting gradually and windowing unit.Interaction display Unit is used for providing specific liver 3-D view entity to show and interact.Windowing unit passes through on specific liver 3-D view certainly Cutting planes are configured to by the cutting summit arranging, different opening is shown by the position of mouse action each facet mobile Window effect, reproduces arbitrary tomography of specific liver 3-D view, shows the internal junction that specific liver three-dimensional CT image is capped Structure.

Selectively, in the interactive display unit of dynamic demonstration module, liver three dimensional CT stereo-picture can be freely set Constituent material, including the bound of every kind of material, opacity, color and specific in area to drawing by mouse-keyboard Liver 3-D view is arbitrarily scaled, is moved, is rotated, is interacted.

Wherein, move with reference to cutting planes, rotate by arranging incision direction and point of penetration in dynamic demonstration module, The excision to specific liver 3-D view any direction, any part is realized in positioning interaction operation.

Selectively, realize the cutting planes that the cutting summit that user in windowing function freely arranges is configured to and be 6.

Preferably, can be moved with reference to cutting planes by arranging incision direction and point of penetration in dynamic demonstration module Move, rotate, the excision to specific liver 3-D view any direction, any part is realized in positioning interaction operation.

Selectively, be uploaded at least ten width CT image for liver of the DICOM format taking from different cross section in system by The interim any one phase scanning of liver three obtains.

Wherein, Tri-phase scanning includes Hepatic artery, portal vein and balance period.Preferably, it is uploaded to the hepatic data in system Image at least should include the DICOM format that Hepatic artery, portal vein and balance period take from different cross section CT image for liver each 10～ 200, such as 100.

Selectively, the CT image for liver being uploaded to the DICOM format taking from different cross section of system can swell for liver Tumor and liver and gall diseases patient carry out the liver visual data of CT scan acquisition or because other reasonses need the trouble of row CT examination The liver visual data that person's scanning obtains, is uploaded to system after allowing through patient.Wherein, because other reasonses need row CT examination to scan The liver visual data obtaining should comprise complete liver and for not causing liver size, form, structure, position etc. to change.

Selectively, original two dimensional image information and specific liver 3-D view are together stored in liver information database In.

Wherein, B-spline is a kind of special representation of SPL, is the linear combination of B-spline base curves.B-spline The research early start of function in 19th-century, at that time N.Lobachevsky using B-spline as some convolutions of probability distribution. In nineteen forty-six, I.J.schoenberg is processed using the smoothing that B-spline carries out statistical data, and his paper has been started batten and forced Near modern theory.Subsequently, CdeBoor, M.Cox and LMansfiekl are found that the recurrence relation of B-spline.

Additionally, the three-dimensional reconstruction scheme that this system processes CT image for liver can also select as this utility model background technology The one of which CT 3-dimensional reconstruction scheme of middle introduction.

Selectively, this system can be to be built based on multiple servers (computer), storage device and/or display device Data processing platform (DPP).

Selectively, pass through wire communication between data reception module and 3-D view processing module or radio communication connects Connect, between 3-D view processing module and liver information database, pass through wire communication or wireless communication connection, liver Information Number According between storehouse and dynamic demonstration module pass through wire communication or wireless communication connection.Such as：Permissible between each module of the system Connect by the Internet (wired or wireless network) is long-range, or connected by data wire and be integrated in a work station.

Selectively, it is connected by the Internet between data reception module and 3-D view processing module, at 3-D view It is connected by data wire between reason module and liver information database, pass through between liver information database and dynamic demonstration module The Internet connects.

Selectively, dynamic demonstration module is included for display image and the touch sensitive liquid crystal display carrying out touch control Screen.

Selectively, each part of this system can be installed and be integrated in a Vertical Rack, and installs in the top of frame For the touch LCD screen controlling for personal observations' image and selection.

The beneficial effects of the utility model are：(1), this system focuses on substantial amounts of hepatic data, saves a large amount of process Work, resource-sharing, it is convenient to search；(2), this system is directed to mankind's normal liver of age groups big data quantity and main liver The liver mathematical model of gallbladder spleen pancreas disease carries out three-dimensional display, completely and clearly shows that liver vessel of a large amount of normal persons etc. is managed Liver and gall diseases patient's liver internal state such as road Systematic anatomy difference and liver tumor；(3), this system includes the liver of big data quantity Dirty data, is shared by open platform, and all parts of the world expert can share digitized hepatic data, case is discussed, is conducive to curing Exchange between life, shared knowledge, meet national Internet+strategic direction.

Brief description

Fig. 1 shows that the construction of the liver 3-D view dynamic demonstration device based on big data of the present utility model is illustrated Figure.

Specific embodiment

Refer to Fig. 1, according to embodiment one of the present utility model, provide a kind of liver 3-D view based on big data Dynamic demonstration device, including：Data reception module 100,3-D view processing module 300, liver information database 500 and dynamic State demonstration module 700.

Data reception module 100 is used for obtaining ten width livers of the DICOM format taking from different cross section for specific liver Dirty CT image, 3-D view processing module 300 is used for generating specific liver 3-D view based on ten width CT image for liver, and liver is believed Breath data base 500 is used for according to the ill type of specific liver, Gender, patient age, the regional and medical hospital of life Classification storage is used for dynamic demonstration from the specific liver 3-D view of 3-D view processing module 300, dynamic demonstration module 700 Specific liver 3-D view.Wherein, 3-D view processing module 300 includes：Image semantic classification submodule 310, liver extract Submodule 330 and image rendering submodule 350.Image semantic classification submodule 310 is successively to every in ten width CT image for liver Width CT image for liver carries out image smoothing and image enhancement processing, and liver extracting sub-module 330 splits pretreated liver number According to image to detect liver contour edge and to extract liver contour line, image rendering submodule 350 by split after ten width livers CT image constructs some volume data lists according to corresponding real space sequence of positions between often adjacent two width CT image for liver Unit, and deformed thus obtaining specific liver 3-D view by every individual data items unit is carried out with Shear Transform and two dimensional image.

Specifically, in this non-limiting embodiment, Image semantic classification submodule 310 include image smoothing unit and Image enhancing unit.Image smoothing unit is directly entered to every width CT image for liver grey scale pixel value in the spatial domain using spatial domain method Row operation is processed, and filters the noise in every width CT image for liver.Image enhancing unit is used for sharpening enhancement process through smooth The sharpness to increase every width CT image for liver for the every width CT image for liver processing.

Specifically, in this non-limiting embodiment, liver extracting sub-module 330 includes liver positioning unit, segmentation Unit, boundary detection unit and frontier tracing unit.Liver positioning unit is automatically positioned by liver volume and liver intensity Go out the liver position in every width CT image for liver.Cutting unit passes through the every of B-spline elastic registrating preprocessed submodule output Width CT image for liver, carries out segmentation using self adaptation and obtains splitting hepatic portion image to every width CT image for liver.Border detection Unit investigates the change of each pixel gray scale in any neighborhood in segmentation hepatic portion image by method of differential operator, according to Liver boundary point is oriented in each pixel any neighborhood single order and/or Second order directional change.Frontier tracing unit pass through according to The adjacent liver boundary point of secondary search, is sequentially connected boundary point thus progressively detecting that liver boundary obtains the liver profile determining.

Specifically, in this non-limiting embodiment, image rendering submodule 350 includes Shear Transform unit and two Dimension anamorphose unit.Shear Transform unit further includes spatial alternation subelement and intermediate image synthesis subelement.

Specifically, in this non-limiting embodiment, Shear Transform unit will construct in the liver profile of determination Every individual data items are converted into middle coordinate system, and the Z axis of middle coordinate system are overlapped with direction of observation, and the ray sending from viewpoint is vertical Obtain intermediate image in middle coordinate system XOY plane.Spatial alternation subelement is according to viewpoint with respect in the liver profile determining The direction of observation of the every individual data items constructing sets up middle coordinate system, and the Z axis of middle coordinate system are overlapped with direction of observation, will be every Individual data items transform to mistake by object space and cut object space.Intermediate image synthesizes the every individual data items after mistake is cut by subelement The centre that each sampled point cuts object space in mistake after carrying out color and the interpolation calculation of opacity in wrong tangent space respectively is put down Intermediate image is synthesized in face.In spatial alternation subelement, every individual data items are become by object space after perspective projection resume module Change to mistake and cut object space, perspective projection module includes datum plane translating sections and transformation of scale part.

Specifically, in this non-limiting embodiment, two dimensional image deformation unit application two dimensional image deformation matrix pair The intermediate image that Shear Transform unit obtains carries out two dimensional image conversion, intermediate image is converted into screen picture space and obtains liver Dirty three-dimensional CT image.

Specifically, in this non-limiting embodiment, dynamic demonstration module 700 includes interaction display unit and windowing Unit.Interaction display unit is used for providing specific liver 3-D view entity to show and interact.Windowing unit passes through in specific liver The cutting summit freely arranging on dirty 3-D view is configured to 6 cutting planes, by mouse action each facet mobile Position, to show different windowing effects, reproduces arbitrary tomography of specific liver 3-D view, shows specific liver three dimensional CT The internal structure that image is capped.

Specifically, in this non-limiting embodiment, pass through in dynamic demonstration module 700 to arrange incision direction and incision Point moves with reference to cutting planes, rotates, positioning interaction operation is realized to specific liver 3-D view any direction, any portion The excision of position.

Although here has described preferred implementation of the present utility model in detail, it is to be understood that this utility model is not It is confined to the concrete structure describing in detail here and illustrating, can be by the case of without departing from spirit and scope of the present utility model Those skilled in the art realizes other modifications and variant.

Claims (1)

1. a kind of liver 3-D view dynamic demonstration device based on big data, including：Data reception module, 3-D view are processed Module, liver information data library unit and dynamic demonstration module are it is characterised in that described data reception module and described three-dimensional Connected by the Internet between image processing module, logical between described 3-D view processing module and described liver information database Cross data wire to connect, be connected by the Internet between described liver information database and described dynamic demonstration module, described data Receiver module, described 3-D view processing module, described liver information data library unit and described dynamic demonstration module are installed It is integrated in a Vertical Rack, and install for for personal observations' image and selection control in the top of described Vertical Rack Touch LCD screen.