CN108874857A - A kind of local records document is compiled and digitlization experiencing system - Google Patents
A kind of local records document is compiled and digitlization experiencing system Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
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- G06T5/80—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
Abstract
The invention belongs to document placement technique field, disclose a kind of local records document compile with digitlization experiencing system, including：Character module, audio-frequency module, digitlization conversion module, categorization module, collection module, summarizes compression module, display module, searching module at video module.The invention mentality of designing is clear, collect text, video, audio various kinds of document format, after categorised collection, carries out summarizing compression, it is smaller to account for memory, faster the content of demand can be accurately found by searching for module, content is shown by display module, can more intuitively carry out reading viewing, operation is simple, it is feature-rich, it has strong utility value and significance of generalization.
Description
Technical field
The invention belongs to document placement technique fields more particularly to a kind of compiling for local records document to be with digitlization experience
System.
Background technique
Currently, the prior art commonly used in the trade is such：
Document, which refers to by certain ways and means, with certain expression of significance and record system, is recorded in certain carrier
The knowledge for having historical value and researching value.The fundamental of document is：1. there is the knowledge of historical value and researching value；2.
Certain carrier；3. certain ways and means；4. certain expression of significance and record system.People are generally understood document
Refer to books, periodical, the recorded knowledge of institution summation.Document is the most effective means of record, accumulation, propagation and succession knowledge,
It is most basic, the most important source of information to be obtained in human social activity, and the most basic means of information are propagated in exchange.Paper
It is limited that matter document compiles record content, and is easy by burn into is burnt equal danger, and existing Digital Documents are still immature, remember
Record mode is single, and committed memory is larger, cannot intuitively carry out reading viewing, causes very big puzzlement to the record of document.
Optical 3-dimensional imaging is a kind of emerging optical image technology, it is polygonal by fusion local records document body surface measurement
The optical parameter information for spending optical signalling, local records document, it is interior to mesh based on accurate optical transport Model Reconstruction living body local records document
Target position and strength distributing information.Wherein, the accurate description and the accurate quick reconstruction to target of optical transmission process are optics
The basis that three-D imaging method is realized.In the optical 3-dimensional imaging method based on nonuniformity model and specificity, to local records text
Region in offering, which carries out the accurately and effectively high quality numerical discretization of segmentation and grid, to be accurate building and solves optical imagery mould
The essential committed step of type.Segmentation is a complexity, cumbersome work, needs professional software and human-computer interaction could be complete
At.Grid is discrete not only to need the software of profession and human-computer interaction that could complete, and for different imaging requirements grids from
Scattered quality also has difference.Meanwhile there is also uncontrollable factors for grid discrete, which results in the quality pair that grid is discrete
Model solution and the reconstruction uncontrollable influence of bring.
In conclusion problem of the existing technology is：
It is limited that paper document compiles record content, and is easy by the danger such as burn into is burnt, and existing Digital Documents are still
Immature, recording mode is single, and committed memory is larger, cannot intuitively carry out reading viewing, causes to the record of document very big
Puzzlement.
Need to carry out that cumbersome region segmentation and grid are discrete could obtain optical 3-dimensional imaging reconstruction knot in the prior art
Fruit.
Summary of the invention
In view of the problems of the existing technology, compiling and digitlization experience system the present invention provides a kind of local records document
System.
The invention is realized in this way experiencing system is compiled and digitized to a kind of local records document, it is provided with：
Character module：Connection digitlization conversion module, word content is digitally converted；
Video module：The video module connection digitlization conversion module, video content is digitally converted；
Audio-frequency module：The audio-frequency module connection digitlization conversion module, audio content is digitally converted；
Digitize conversion module：Connect with character module, video module, audio-frequency module, categorization module, by character module,
Video module, audio-frequency module Content Transformation be digitalized data, and send categorization module for digitalized data；
Digitlization conversion module conversion method include：According to the gray scale or line of the tomographic imaging voxel data of local records document
Characteristic is managed, local records document outer boundary contour line and interior tissue edge line are drawn；Based on local records document tomography rebuilding
The interior tissue edge line of voxel data and label, construction inner boundary node are enriched with function；Structure according to local records document is heterogeneous
Property and optical specificity, using based on mixing photon transport equation adaptive optical transmission mathematical model describe light particle local records text
Transmission process in offering；In view of application advantage of the finite volume method on hexahedron voxel grid, using extension finite volume method
Numerical discretization and solution are carried out to adaptive optical transmission mathematical model, established between description local records document internal standard and surface measurement
The system equation of linear relationship；Consider the sparsity of local records document internal standard distribution and the imperfection of surface measurement data, establishes
The objective function of positioning result is tentatively marked based on sparse Regularization Strategy and fusion priori；Using suitable Optimization Method mesh
Scalar functions realize accurate, quick reconstruction of the local records document internal standard to target；
The conversion method of digitlization conversion module specifically includes：
Step 1: data acquisition and pretreatment, using multi-mode molecule imaging system, successively acquisition for optical 3-dimensional at
The multi-angle fluorescence data of picture, the local records document tomographic data for constructing voxel physical model；Utilize multi-modal molecule
Pretreatment software in imaging system is removed ambient noise to fluorescence data, extracts area-of-interest pretreatment；To local records
Document tomographic data compensates bad point bad line, bright field correction, geometric correction pretreatment and three-dimensional voxel data reconstruction；
Step 2: constructing voxel-based physical model；
Step 3: building adaptive optical transmits mathematical model；
Step 4: fusion enrichment function establishes system equation；
Step 5: establishing objective function；
Step 6: solving objective function, suitable optimization algorithm is selected to solve the objective function of foundation, acquisition side
The spatial position of targeting target and concentration distribution in will document；
Step 7: three-dimensional reconstruction result is shown, to the three-dimensional voxel data of targeting the Object reconstruction result and acquisition of acquisition
Image co-registration is carried out, reconstruction is subjected to Three-dimensional Display to Target space position and concentration distribution in local records document；
Categorization module：It is connect with digitlization conversion module, collection module, after digitalized data is classified, is sent to collection
Module；
Collection module：With categorization module, summarize compression module and connect, the content in categorization module is collected, and passes
It is sent to and summarizes compression module and compressed；
Summarize compression module：It is connect with collection module, display module, searching module, by the content aggregation pressure of collection module
Contracting, and shown on the display module；
The digitlization conversion method includes：
Adding law：0+0=0,0+1=1+0=1,1+1=10；
Subtraction, when needing upward one to borrow number, it is necessary to regard (the 2) 10 of next bit as the 1 of upper one；
Subtraction rule：0-0=0,1-0=1,1-1=0,0-1=1 are borrowed, and borrow 1 to have when (10) regard 2 0-1-1=0 as
1-1-1=1 is borrowed to borrow；
Multiplication rule：0 × 0=0,0 × 1=0,1 × 0=0,1 × 1=1；
Division should be noted that：0 ÷ 0=0 is meaningless, and 0 ÷ 1=0,1 ÷ 0=0 is meaningless；
Division rule：0 ÷ 1=0,1 ÷ 1=1；
Further, compiling for the local records document further includes with digitlization experiencing system：
Display module：It is connect with compression module is summarized, the content summarized in compression module is shown；
Searching module：It is connect with compression module is summarized, for searching content；It specifically includes：
Input keyword；
Summarize compression module keyword search；
Collection module is by content search and opens.
Further, the voxel-based physical model of building specifically includes：
The first step, using the registration software in multi-mode molecule imaging system, by magnetic resonance or computer tomography weight
The three-dimensional voxel Registration of Measuring Data built is drawn with this to being disclosed in digital mouse map and marks local records document exterior contour
The boundary line of line and interior tissue；
Second step, the internal edges boundary line based on three-dimensional voxel data and label, tectonic boundary node are enriched with function：
Wherein, j is voxel node；
ψjIt (r) is the inner boundary node enrichment function defined；
vjIt (r) is interpolation function；
It is symbolic measurement, is defined as node to the distance away from nearest Close edges：
Wherein, sign (r) is used to indicate the subordinate relation of point r Yu boundary Γ：Value is negative if putting inside region, in area
Overseas portion is then positive, and is then zero on boundary；
It is value of the symbolic measurement on voxel node j；
Local records document is decomposed into the intersection of multiple portions using the interior tissue boundary line of label as interface by third step,
And optical property parameter is assigned to corresponding portion, construct voxel-based optical 3-dimensional Imaging physics model.
Further, the building adaptive optical transmission mathematical model specifically includes：
The first step, according to the multiple regions of decomposition and corresponding optical property parameter, by region be divided into high scattering, cavity and
Other three classes, classification foundation are defined as：
Wherein, Ω is the solution domain that local records document is constituted；ΩhsIt is high scattering region；ΩvIt is cavity area；ΩlsIt is other
Region；μ′sIt is region reduced scattering coefficient；ζ and χ is classification thresholds, is taken as ζ=10 and χ=0.2mm respectively-1；
Second step comprehensively considers accuracy and computation complexity, suitable to being adaptive selected for different type region
Optical transport model is described；Wherein, transmission process of the light in high scattering tissue is described using diffusion approximation equation, using certainly
The transmission process of light in the cavities is described by space optical transmission equation, and simplifies ball harmonic approximation equation using three ranks and describes light
Transmission process in other regions；
Third step, by constructing the boundary coupling condition of physical quantity between different optical transport models, building adaptive optical is passed
Defeated mathematical model：
Wherein, φi(r) (i=1,2) is node luminous flux, and S (r) is the energy density distribution of local records document optical probe,
μa(r) and μaj(r) (j=1,2,3) is that local records document absorbs relevant parameter, and D (r) is local records document diffusion coefficient, βi(i=1,
2) and α is SP3The factor is mismatched with DA equation by boundary, G (r ', r) is the transmission function for describing radiation transfer theory concept, is used for
Diffused light is described from the transmission process in cavity tissue, B is the interface of scattering tissue and cavity, and σ (r) is description solution point institute
Indicator in position, is defined as：
High scattering and the photon transport equation of other scattering tissues are coupled using following formula:
Wherein, φ0(r) be diffusion approximation equation solution node luminous flux；
Using the photon transport equation in following formula coupling scattering region and cavity:
Wherein, q0It (r) is the graceful luminous flux of promise formed on cavity and scattering region interface.
Further, the fusion enrichment function is established system equation and is specifically included：
Using the voxel-based physical model of building as domain is solved, function is enriched with using the inner boundary node of fusion constructs
Finite volume method numerical discretization is carried out to the adaptive optical of building transmission mathematical model and is solved, establish in description local records document
The system equation of linear relationship between mark and surface measurement：
J=AS；
Wherein, A is sytem matrix, distribution and corresponding optical property parameter dependent on three classes region in local records document；J
It is the emergent light flow rate of local records document acquisition surface；S is target energy Density Distribution.
Further, the objective function of establishing specifically includes：
The first step, considers the sparse characteristic of target distribution and the imperfection of surface measurement data, foundation based on lp(0<
p<1) the sparse regularization objective function of norm：
Wherein, Θ (S) is based on lp(0<p<1) objective function that the sparse Regularization Strategy of norm is established, SinfIt is local records
The lower limit of document internal standard energy density, SsupIt is the upper limit of local records document internal standard energy density, JmIt is the light on outer boundary node
Flux measurement value will be obtained by the local records document surface three dimension energy Reconstruction technology in non-contact type optical sectioning imaging method
Multi-angle fluorescence data be mapped to acquisition three-dimensional voxel data outer boundary and obtain；λ is sparse regularization parameter；
Second step is tied the testing result of target in local records document tomographic data as the preliminary calibration position of priori
Fruit, limits the feasible zone range of system equation, and feasible zone range limits matrix P and is defined as：
Wherein, R is to rebuild the feasible zone range obtained by tomographic data；
Third step will establish feasible zone range and limit the sparse regularization objective function that matrix P is brought into foundation, finally builds
Be based on lpThe objective function of sparse Regularization Strategy and fusion structure prior information：
Advantages of the present invention and good effect are：
The invention mentality of designing is clear, collects text, video, audio various kinds of document format, after categorised collection, is converged
Total compression, accounts for that memory is smaller, by searching for module can the faster content for accurately finding demand, it is internal by display module
Appearance is shown, reading viewing can be more intuitively carried out, and operation is simple, feature-rich, is had great practical value and is promoted
Meaning.
The present invention overcomes existing skill due to carrying out optical 3-dimensional reconstruction directly on the voxel data of tomography rebuilding
Region segmentation and grid discrete the problem of could completing to target three-dimensional reconstruction must be carried out in art, fundamentally avoided cumbersome
Region segmentation and grid it is discrete, simplify optical 3-dimensional imaging reconstruction process, realize accurate, efficient, easy-to-use optics
Three-dimensional imaging.
The present invention overcomes due to considering that the difference in terms of optical property parameter establishes optical transport combined mathematics model simultaneously
In the prior art based on single approximate equation or the optical 3-dimensional imaging method for mixing photon transport equation in reconstruction precision and
Limitation in terms of efficiency can carry out accurately, quickly to irregular structure and the complicated of a variety of scattering properties to target
Imaging.
Preliminary mark positioning result of the testing result of tomographic data of the present invention as priori limits system equation and solves
Feasible zone range, overcome the inaccurate problem for directly being positioned and being rebuild in the prior art, effectively realize internal standard
Accurate positionin and quantitative.
Detailed description of the invention
Fig. 1 is compiling and digitlization experiencing system structural schematic diagram for local records document provided in an embodiment of the present invention；
In figure：1, character module；2, video module；3, audio-frequency module；4, conversion module is digitized；5, categorization module；6,
Collection module；7, summarize compression module；8, display module；9, searching module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing
Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, compiling for local records document provided in an embodiment of the present invention includes with digitlization experiencing system：Text mould
Block 1, audio-frequency module 3, digitlization conversion module 4, categorization module 5, collection module 6, summarizes compression module 7, is aobvious at video module 2
Show module 8, searching module 9.
Character module 1：The connection of the character module 1 digitlization conversion module 4, word content is digitally converted.
Video module 2：The connection of the video module 2 digitlization conversion module 4, video content is digitally converted.
Audio-frequency module 3：The connection of the audio-frequency module 3 digitlization conversion module 4, audio content is digitally converted.
Digitize conversion module 4：It is connect with character module 1, video module 2, audio-frequency module 3, categorization module 5, by text
Module 1, video module 2, audio-frequency module 3 Content Transformation be digitalized data, and will
Digitalized data is sent to categorization module 5.
Categorization module 5：It is connect with digitlization conversion module 4, collection module 6, the number in hand-set digit conversion module 4
Change data, and after digitalized data is classified, is sent to collection module 6.
Collection module 6：With categorization module 5, summarize compression module 7 and connect, the content in categorization module 5 is collected,
And it is transmitted to and summarizes compression module 7 and compressed.
Summarize compression module 7：It is connect with collection module 6, display module 8, searching module 9, the content of mobile module 6 is converged
Total compression, and shown on display module 8.
Display module 8：It is connect with compression module 7 is summarized, the content summarized in compression module 7 is shown.
Searching module 9：It is connect with compression module 7 is summarized, faster can accurately find desired content.
Further, the digitlization transfer algorithm：
Adding law：0+0=0,0+1=1+0=1,1+1=10
Subtraction, when needing upward one to borrow number, it is necessary to regard (the 2) 10 of next bit as the 1 of upper one.
Subtraction rule：0-0=0,1-0=1,1-1=0,0-1=1 are borrowed, and borrow 1 to have when (10) regard 2 0-1-1=0 as
1-1-1=1 is borrowed to borrow.
Multiplication rule：0 × 0=0,0 × 1=0,1 × 0=0,1 × 1=1
Division should be noted that：0 ÷ 0=0 (meaningless), 0 ÷ 1=0,1 ÷ 0=0 (meaningless)
Division rule：0 ÷ 1=0,1 ÷ 1=1
Further, the lookup is divided into three steps：
1, keyword is inputted；
2, summarize compression module keyword search；
3, collection module by content search and is opened.
The working principle of the invention：By character module 1, video module 2, audio-frequency module 3 distinguish typing text, video,
Audio converts digital form for text, video, audio by digitlization conversion module 4, will not similar shape by categorization module 5
The file of formula is classified, and is collected by collection module 6, is compressed using compression module 7 is summarized by content is collected,
It to leave more memories, is shown eventually by display module 8, is inquired by searching for module 9, in display mould
Reading viewing is carried out to lookup content on block 8.
The invention mentality of designing is clear, collects text, video, audio various kinds of document format, after categorised collection, is converged
Total compression, accounts for that memory is smaller, by searching for module can the faster content for accurately finding demand, it is internal by display module
Appearance is shown, reading viewing can be more intuitively carried out, and operation is simple, feature-rich, is had great practical value and is promoted
Meaning.
Below with reference to concrete analysis, the invention will be further described.
Digitlization conversion module conversion method include：According to the gray scale or line of the tomographic imaging voxel data of local records document
Characteristic is managed, local records document outer boundary contour line and interior tissue edge line are drawn；Based on local records document tomography rebuilding
The interior tissue edge line of voxel data and label, construction inner boundary node are enriched with function；Structure according to local records document is heterogeneous
Property and optical specificity, using based on mixing photon transport equation adaptive optical transmission mathematical model describe light particle local records text
Transmission process in offering；In view of application advantage of the finite volume method on hexahedron voxel grid, using extension finite volume method
Numerical discretization and solution are carried out to adaptive optical transmission mathematical model, established between description local records document internal standard and surface measurement
The system equation of linear relationship；Consider the sparsity of local records document internal standard distribution and the imperfection of surface measurement data, establishes
The objective function of positioning result is tentatively marked based on sparse Regularization Strategy and fusion priori；Using suitable Optimization Method mesh
Scalar functions realize accurate, quick reconstruction of the local records document internal standard to target；
The conversion method of digitlization conversion module specifically includes：
Step 1: data acquisition and pretreatment, using multi-mode molecule imaging system, successively acquisition for optical 3-dimensional at
The multi-angle fluorescence data of picture, the local records document tomographic data for constructing voxel physical model；Utilize multi-modal molecule
Pretreatment software in imaging system is removed ambient noise to fluorescence data, extracts area-of-interest pretreatment；To local records
Document tomographic data compensates bad point bad line, bright field correction, geometric correction pretreatment and three-dimensional voxel data reconstruction；
Step 2: constructing voxel-based physical model；
Step 3: building adaptive optical transmits mathematical model；
Step 4: fusion enrichment function establishes system equation；
Step 5: establishing objective function；
Step 6: solving objective function, suitable optimization algorithm is selected to solve the objective function of foundation, acquisition side
The spatial position of targeting target and concentration distribution in will document；
Step 7: three-dimensional reconstruction result is shown, to the three-dimensional voxel data of targeting the Object reconstruction result and acquisition of acquisition
Image co-registration is carried out, reconstruction is subjected to Three-dimensional Display to Target space position and concentration distribution in local records document；
The voxel-based physical model of building specifically includes：
The first step, using the registration software in multi-mode molecule imaging system, by magnetic resonance or computer tomography weight
The three-dimensional voxel Registration of Measuring Data built is drawn with this to being disclosed in digital mouse map and marks local records document exterior contour
The boundary line of line and interior tissue；
Second step, the internal edges boundary line based on three-dimensional voxel data and label, tectonic boundary node are enriched with function：
Wherein, j is voxel node；
ψjIt (r) is the inner boundary node enrichment function defined；
vjIt (r) is interpolation function；
It is symbolic measurement, is defined as node to the distance away from nearest Close edges：
Wherein, sign (r) is used to indicate the subordinate relation of point r Yu boundary Γ：Value is negative if putting inside region, in area
Overseas portion is then positive, and is then zero on boundary；
It is value of the symbolic measurement on voxel node j；
Local records document is decomposed into the intersection of multiple portions using the interior tissue boundary line of label as interface by third step,
And optical property parameter is assigned to corresponding portion, construct voxel-based optical 3-dimensional Imaging physics model.
Further, the building adaptive optical transmission mathematical model specifically includes：
The first step, according to the multiple regions of decomposition and corresponding optical property parameter, by region be divided into high scattering, cavity and
Other three classes, classification foundation are defined as：
Wherein, Ω is the solution domain that local records document is constituted；ΩhsIt is high scattering region；ΩvIt is cavity area；ΩlsIt is other
Region；μ′sIt is region reduced scattering coefficient；ζ and χ is classification thresholds, is taken as ζ=10 and χ=0.2mm respectively-1；
Second step comprehensively considers accuracy and computation complexity, suitable to being adaptive selected for different type region
Optical transport model is described；Wherein, transmission process of the light in high scattering tissue is described using diffusion approximation equation, using certainly
The transmission process of light in the cavities is described by space optical transmission equation, and simplifies ball harmonic approximation equation using three ranks and describes light
Transmission process in other regions；
Third step, by constructing the boundary coupling condition of physical quantity between different optical transport models, building adaptive optical is passed
Defeated mathematical model：
Wherein, φi(r) (i=1,2) is node luminous flux, and S (r) is the energy density distribution of local records document optical probe,
μa(r) and μaj(r) (j=1,2,3) is that local records document absorbs relevant parameter, and D (r) is local records document diffusion coefficient, βi(i=1,
2) and α is SP3The factor is mismatched with DA equation by boundary, G (r ', r) is the transmission function for describing radiation transfer theory concept, is used for
Diffused light is described from the transmission process in cavity tissue, B is the interface of scattering tissue and cavity, and σ (r) is description solution point institute
Indicator in position, is defined as：
High scattering and the photon transport equation of other scattering tissues are coupled using following formula:
Wherein, φ0(r) be diffusion approximation equation solution node luminous flux；
Using the photon transport equation in following formula coupling scattering region and cavity:
Wherein, q0It (r) is the graceful luminous flux of promise formed on cavity and scattering region interface.
Further, the fusion enrichment function is established system equation and is specifically included：
Using the voxel-based physical model of building as domain is solved, function is enriched with using the inner boundary node of fusion constructs
Finite volume method numerical discretization is carried out to the adaptive optical of building transmission mathematical model and is solved, establish in description local records document
The system equation of linear relationship between mark and surface measurement：
J=AS；
Wherein, A is sytem matrix, distribution and corresponding optical property parameter dependent on three classes region in local records document；J
It is the emergent light flow rate of local records document acquisition surface；S is target energy Density Distribution.
Further, the objective function of establishing specifically includes：
The first step, considers the sparse characteristic of target distribution and the imperfection of surface measurement data, foundation based on lp(0<
p<1) the sparse regularization objective function of norm：
Wherein, Θ (S) is based on lp(0<p<1) objective function that the sparse Regularization Strategy of norm is established, SinfIt is local records
The lower limit of document internal standard energy density, SsupIt is the upper limit of local records document internal standard energy density, JmIt is the light on outer boundary node
Flux measurement value will be obtained by the local records document surface three dimension energy Reconstruction technology in non-contact type optical sectioning imaging method
Multi-angle fluorescence data be mapped to acquisition three-dimensional voxel data outer boundary and obtain；λ is sparse regularization parameter；
Second step is tied the testing result of target in local records document tomographic data as the preliminary calibration position of priori
Fruit, limits the feasible zone range of system equation, and feasible zone range limits matrix P and is defined as：
Wherein, R is to rebuild the feasible zone range obtained by tomographic data；
Third step will establish feasible zone range and limit the sparse regularization objective function that matrix P is brought into foundation, finally builds
Be based on lpThe objective function of sparse Regularization Strategy and fusion structure prior information：
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form,
Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to
In the range of technical solution of the present invention.
Claims (6)
1. a kind of local records document is compiled and digitlization experiencing system, which is characterized in that the local records document is compiled and number
Change experiencing system to be provided with：
Character module：Connection digitlization conversion module, word content is digitally converted；
Video module：The video module connection digitlization conversion module, video content is digitally converted；
Audio-frequency module：The audio-frequency module connection digitlization conversion module, audio content is digitally converted；
Digitize conversion module：It is connect with character module, video module, audio-frequency module, categorization module, by character module, video
Module, audio-frequency module Content Transformation be digitalized data, and send categorization module for digitalized data；
Digitlization conversion module conversion method include：It is special according to the gray scale of the tomographic imaging voxel data of local records document or texture
Property, draw local records document outer boundary contour line and interior tissue edge line；Voxel based on local records document tomography rebuilding
The interior tissue edge line of data and label, construction inner boundary node are enriched with function；According to the structural heterogeneity of local records document and
Optical specificity describes light particle in local records document using the adaptive optical transmission mathematical model based on mixing photon transport equation
Transmission process；In view of application advantage of the finite volume method on hexahedron voxel grid, using extension finite volume method to certainly
It adapts to optical transport mathematical model and carries out numerical discretization and solution, establish linear between description local records document internal standard and surface measurement
The system equation of relationship；Consider the sparsity of local records document internal standard distribution and the imperfection of surface measurement data, foundation is based on
Sparse Regularization Strategy and fusion priori tentatively mark the objective function of positioning result；Using suitable Optimization Method target letter
Number realizes accurate, quick reconstruction of the local records document internal standard to target；
The conversion method of digitlization conversion module specifically includes：
Step 1: data acquisition and pretreatment, using multi-mode molecule imaging system, successively acquisition is for optical 3-dimensional imaging
Multi-angle fluorescence data, the local records document tomographic data for constructing voxel physical model；Utilize multi-mode molecule imaging
Pretreatment software in system is removed ambient noise to fluorescence data, extracts area-of-interest pretreatment；To local records document
Tomographic data compensates bad point bad line, bright field correction, geometric correction pretreatment and three-dimensional voxel data reconstruction；
Step 2: constructing voxel-based physical model；
Step 3: building adaptive optical transmits mathematical model；
Step 4: fusion enrichment function establishes system equation；
Step 5: establishing objective function；
Step 6: solving objective function, suitable optimization algorithm is selected to solve the objective function of foundation, obtains local records text
Offer spatial position and the concentration distribution of interior targeting target；
Step 7: three-dimensional reconstruction result is shown, the three-dimensional voxel data of targeting Object reconstruction result and acquisition to acquisition are carried out
Reconstruction is carried out Three-dimensional Display to Target space position and concentration distribution by image co-registration in local records document；
Categorization module：It is connect with digitlization conversion module, collection module, after digitalized data is classified, is sent to collection module；
Collection module：With categorization module, summarize compression module and connect, the content in categorization module is collected, and is transmitted to
Summarize compression module to be compressed；
Summarize compression module：It is connect with collection module, display module, searching module, the content aggregation of collection module is compressed, and
It is shown on the display module；
The digitlization conversion method includes：
Adding law：0+0=0,0+1=1+0=1,1+1=10；
Subtraction, when needing upward one to borrow number, it is necessary to regard (the 2) 10 of next bit as the 1 of upper one；
Subtraction rule：0-0=0,1-0=1,1-1=0,0-1=1 are borrowed, and borrow 1 to borrow when (10) regard 2 0-1-1=0 as
1-1-1=1 is borrowed；
Multiplication rule：0 × 0=0,0 × 1=0,1 × 0=0,1 × 1=1；
Division should be noted that：0 ÷ 0=0 is meaningless, and 0 ÷ 1=0,1 ÷ 0=0 is meaningless；
Division rule：0 ÷ 1=0,1 ÷ 1=1.
2. local records document as described in claim 1 is compiled and digitlization experiencing system, which is characterized in that the local records document
Compile with digitlization experiencing system further include：
Display module：It is connect with compression module is summarized, the content summarized in compression module is shown；
Searching module：It is connect with compression module is summarized, for searching content；It specifically includes：
Input keyword；
Summarize compression module keyword search；
Collection module is by content search and opens.
3. local records document as described in claim 1 is compiled and digitlization experiencing system, which is characterized in that the building is based on
The physical model of voxel specifically includes：
The first step is obtained magnetic resonance or computed tomography reconstruction using the registration software in multi-mode molecule imaging system
To three-dimensional voxel Registration of Measuring Data to being disclosed in digital mouse map, drawn with this and mark local records document outer wheels profile and
The boundary line of interior tissue；
Second step, the internal edges boundary line based on three-dimensional voxel data and label, tectonic boundary node are enriched with function：
Wherein, j is voxel node；
ψjIt (r) is the inner boundary node enrichment function defined；
vjIt (r) is interpolation function；
It is symbolic measurement, is defined as node to the distance away from nearest Close edges：
Wherein, sign (r) is used to indicate the subordinate relation of point r Yu boundary Γ：Value is negative if putting inside region, outside region
Portion is then positive, and is then zero on boundary；
It is value of the symbolic measurement on voxel node j；
Local records document is decomposed into the intersection of multiple portions, and will using the interior tissue boundary line of label as interface by third step
Optical property parameter is assigned to corresponding portion, constructs voxel-based optical 3-dimensional Imaging physics model.
4. local records document as described in claim 1 is compiled and digitlization experiencing system, which is characterized in that the building is adaptive
Optical transport mathematical model is answered to specifically include：
The first step, according to the multiple regions of decomposition and corresponding optical property parameter, by region be divided into high scattering, cavity and other
Three classes, classification foundation are defined as：
Wherein, Ω is the solution domain that local records document is constituted；ΩhsIt is high scattering region；ΩvIt is cavity area；ΩlsIt is other areas
Domain；μ′sIt is region reduced scattering coefficient；ζ and χ is classification thresholds, is taken as ζ=10 and χ=0.2mm respectively-1；
Second step comprehensively considers accuracy and computation complexity, passes to the suitable light that is adaptive selected in different type region
Defeated model is described；Wherein, transmission process of the light in high scattering tissue is described using diffusion approximation equation, using free sky
Between photon transport equation the transmission process of light in the cavities described, and simplify ball harmonic approximation equation using three ranks and describe light at it
Transmission process in his region；
Third step, by constructing the boundary coupling condition of physical quantity between different optical transport models, building adaptive optical transmits number
Learn model：
Wherein, φi(r) (i=1,2) is node luminous flux, and S (r) is the energy density distribution of local records document optical probe, μa(r)
And μaj(r) (j=1,2,3) is that local records document absorbs relevant parameter, and D (r) is local records document diffusion coefficient, βi(i=1,2) and α
It is SP3The factor is mismatched with DA equation by boundary, G (r ', r) is the transmission function for describing radiation transfer theory concept, for describing
For diffused light from the transmission process in cavity tissue, B is the interface of scattering tissue and cavity, and σ (r) is that description solution point institute is in place
The indicator set, is defined as：
High scattering and the photon transport equation of other scattering tissues are coupled using following formula:
Wherein, φ0(r) be diffusion approximation equation solution node luminous flux；
Using the photon transport equation in following formula coupling scattering region and cavity:
Wherein, q0It (r) is the graceful luminous flux of promise formed on cavity and scattering region interface.
5. local records document as described in claim 1 is compiled and digitlization experiencing system, which is characterized in that the fusion enrichment
Function is established system equation and is specifically included：
Using the voxel-based physical model of building as domain is solved, having for function is enriched with using the inner boundary node of fusion constructs
Volumetric method is limited to carry out numerical discretization to the adaptive optical of building transmission mathematical model and solve, establish description local records document internal standard and
The system equation of linear relationship between surface measurement：
J=AS；
Wherein, A is sytem matrix, distribution and corresponding optical property parameter dependent on three classes region in local records document；The side of being J
The emergent light flow rate of will document acquisition surface；S is target energy Density Distribution.
6. local records document as described in claim 1 is compiled and digitlization experiencing system, which is characterized in that described to establish target
Function specifically includes：
The first step, considers the sparse characteristic of target distribution and the imperfection of surface measurement data, foundation based on lp(0<p<1)
The sparse regularization objective function of norm：
Wherein, Θ (S) is based on lp(0<p<1) objective function that the sparse Regularization Strategy of norm is established, SinfIt is local records document
The lower limit of internal standard energy density, SsupIt is the upper limit of local records document internal standard energy density, JmIt is the luminous flux on outer boundary node
Measured value, by the local records document surface three dimension energy Reconstruction technology in non-contact type optical sectioning imaging method by the more of acquisition
Angle fluorescent data are mapped to the outer boundary of the three-dimensional voxel data of acquisition and obtain；λ is sparse regularization parameter；
Second step, using the testing result of target in local records document tomographic data as the preliminary calibration position of priori as a result, limit
Determine the feasible zone range of system equation, feasible zone range limits matrix P and is defined as：
Wherein, R is to rebuild the feasible zone range obtained by tomographic data；
Third step will establish feasible zone range and limit the sparse regularization objective function that matrix P is brought into foundation, finally establishes base
In lpThe objective function of sparse Regularization Strategy and fusion structure prior information：
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