CN109726306A - Patient data storage method, device, equipment and storage medium - Google Patents
Patient data storage method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of patient data storage method, device, equipment and storage medium, this method comprises: obtaining scan data of the scanned position of sweep object when secondary scanning and when time scanning information;According to scan data, the corresponding object parameterization model of scanned position is established;By object parameterization model and when time scanning information is stored into database.Technical solution through the embodiment of the present invention can greatly reduce the occupied memory space of patient data, convenient for storing the patient data that scanning generates every time.
Description
Technical field
The present embodiments relate to data processing technique more particularly to a kind of patient data storage method, device, equipment and
Storage medium.
Background technique
In the medical field, it generally requires to be scanned imaging to patient organ using Medical Devices, so that doctor can be with
It carries out medical diagnosis on disease and formulates optimal therapeutic scheme, for example, utilizing X-ray machine (X-ray photography, abbreviation XR), electricity
Sub- ct apparatus (Computed Tomography, abbreviation CT), magnetic resonance imaging equipment (Magnetic
Resonance Imaging, abbreviation MR) etc. equipment patient organ is scanned.
Currently, can all generate a large amount of and discrete scan datas in scanning patient organ every time.In the prior art, usually
It is directly to store these discrete patient datas, but this can undoubtedly occupy more memory space, and be also required to regularly delete
Except some patientss data, to store subsequent patient data.
As it can be seen that existing this direct storage mode can not retain the historical data of patient, to be unfavorable for doctor to trouble
The change of illness state of person is analyzed.And it can not also be shared in the patient data that different medical equipment or hospital generate.
Summary of the invention
The embodiment of the invention provides a kind of patient data storage method, device, equipment and storage mediums, to greatly reduce
The occupied memory space of patient data, convenient for storing the patient data that scanning generates every time.
In a first aspect, the embodiment of the invention provides a kind of patient data storage methods, comprising:
Obtain scan data of scanned position when secondary scanning of sweep object and when time scanning information;
According to the scan data, the corresponding object parameterization model of the scanned position is established;
The object parameterization model and time scanning information of working as are stored into database.
Second aspect, the embodiment of the invention also provides a kind of patient data storage devices, comprising:
Scan data obtains module, for obtaining scan data of the scanned position of sweep object when secondary scanning and working as
Secondary scanning information;
Object parameterization model building module, for establishing the corresponding mesh of the scanned position according to the scan data
Mark parameterized model;
Object parameterization model memory module, for storing the object parameterization model and time scanning information of working as
Into database.
The third aspect, the embodiment of the invention also provides a kind of equipment, the equipment includes:
One or more processors;
Memory, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes such as patient data storage method provided by any embodiment of the invention.
Fourth aspect, the embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer
Program realizes such as patient data storage method provided by any embodiment of the invention when the program is executed by processor.
The discrete scan data that the embodiment of the present invention is obtained when secondary scanning by the scanned position to sweep object
It is parameterized, establishes the corresponding object parameterization model of scanned position, and object parameterization model is stored into database,
To which the occupied memory space of patient data can be greatly reduced for directly storing discrete scan data.And
And by the database storage when time scanning establish object parameterization model, can in order to store every time scanning establish ginseng
Numberization model, so as to retain the historical data of patient.
Detailed description of the invention
Fig. 1 is a kind of flow chart for patient data storage method that the embodiment of the present invention one provides;
Fig. 2 is a kind of flow chart of patient data storage method provided by Embodiment 2 of the present invention;
Fig. 3 is the schematic diagram of the first tree-like storage of one kind structure involved in the embodiment of the present invention two;
Fig. 4 is the schematic diagram of the second tree-like storage of one kind structure involved in the embodiment of the present invention two;
Fig. 5 is a kind of structural schematic diagram for patient data storage device that the embodiment of the present invention three provides;
Fig. 6 is a kind of structural schematic diagram for equipment that the embodiment of the present invention four provides.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
Embodiment one
Fig. 1 is a kind of flow chart for patient data storage method that the embodiment of the present invention one provides, and the present embodiment is applicable
In the scan data of storage sweep object.This method can be executed by patient data storage device, which can be by software
And/or the mode of hardware is realized, is integrated in the equipment with store function.This method specifically includes the following steps:
S110, scan data of scanned position when secondary scanning for obtaining sweep object and when time scanning information.
Wherein, scanned position can refer to one or more positions of sweep object, such as can refer to when time scanning
Patient positions, such as head, chest, abdomen, liver etc..Scan data can refer to using Medical Devices to the scanned position of sweep object into
The initial data of the discretization obtained after row scanning.When secondary scanning information can include but is not limited to scanned position information, scanning
Temporal information, scanning times information and scanning device information.
It should be noted that when the scanned position of secondary scanning can be one or more in the present embodiment.If when time scanning
Multiple scanned positions can then divide scan data, based on when time each scanned position of scanning it is hereby achieved that sweeping
Retouch the corresponding scan data of each scanned position of object.
S120, according to scan data, establish the corresponding object parameterization model of scanned position.
Wherein, the present embodiment can carry out parametric modeling to scan data according to default modeling pattern, to be scanned
The corresponding object parameterization model in position.Illustratively, default modeling pattern can be parameterize using essential characteristic and set
Meter can be with the basic geometry such as cuboid, cylindrical body, cone and sphere when carrying out parametric modeling using essential characteristic
Element is depended on reference characteristic, with features such as the feature of curvilinear correlation, curved surface correlated characteristics with the generation of main feature as main feature
Or referring-to relation.Default modeling pattern is also possible to carry out Parametric designing using sketch, and wherein sketch can be and entity mould
The associated X-Y scheme of type generates ginseng by the operations such as the cross section curve created on sketch being stretched, being rotated and being scanned
Numberization physical model, so as to extract parameter and the extensograph parameter of the cross section curve in model being the ruler for realizing entire model
Very little driving.It should be noted that only existing a main feature, other feature depends on during carrying out parametric modeling
In main feature, the positional relationship for being positioned by main character references point etc., and being kept fixed with main feature.The present embodiment can be with
Suitable modeling pattern is predefined according to actual scene and user demand.
Specifically, the present embodiment can be believed according to the interface, density information, vascular tissue of the interior outer cladding of scanned position
Breath etc. carries out parametric modeling.Object parameterization model in the present embodiment can refer to discrete raw scanning data progress
The parametric equation obtained after parametrization.Illustratively, if the corresponding scan data of scanned position be on spherical surface largely from
Scatterplot, then according to modeling pattern is preset to discrete scan data progress parametric modeling, the object parameterization model of foundation is one
A spherical equation.As it can be seen that for the occupied memory space of a large amount of discrete points data, occupied by a spherical equation
Memory space can substantially reduce, to be conducive to store more patient data.
S130, by object parameterization model and when time scanning information is stored into database.
Wherein, database can be pre-set, for storing the scan data of sweep object.The structure of database can
To be but not limited to default tree-like storage structure.Wherein presetting tree-like storage structure can be tree-shaped non-of one kind predetermined
Linear data structure.Node in default tree-like storage structure can be made of root node, branch node and leaf node,
In, branch node refers to that possessed subtree number is not 0 node;Leaf node refers to that possessed subtree number is 0
Node, i.e. terminal node.Branch node and leaf node in default tree-like storage structure can be according to object parameterization models
Addition and real-time perfoming create.Each sweep object (patient) can correspond to a database in the present embodiment, so as to
The scan data of same sweep object is stored in same database, only so as to avoid due to different patient scan data obfuscations
The case where causing diagnosis accident.
Specifically, the present embodiment can be according to the data structure of database to object parameterization model and when time scanning information
It is stored.Illustratively, when the structure of database is default tree-like storage structure, one can be created in the database
New branch node, and create a leaf node again on the new branch node, then ought time scanning information store to
In newly created branch node, and object parameterization model stored into newly created leaf node, to pass through utilization
Branch node and leaf node in the database of default tree-like storage structure is to store object parameterization model and when time scanning
Information can with reasonable standard store the parameterized model and scanning information of patient after each scan, suffer from so as to retain
The historical data of person.And using the database of default tree-like storage structure, it also can be convenient the scanning number of inquiry patient per
According to so that change of illness state of the healthcare givers to patient is analyzed and is monitored.
If should be noted that when time multiple scanned positions of scanning, can be established by repeating step S120 and S130
The corresponding object parameterization model of each scanned position, and by each object parameterization model and corresponding when time scanning information is deposited
Storage is into database.Illustratively, each object parameterization model and corresponding time scanning information of working as can be stored to new wound
In the different branch nodes and leaf node built, the corresponding scan data of different scanning portions is subjected to separate storage, just
In the subsequent patient data that can quickly inquire under different scanning number or Different Organs.
The technical solution of the present embodiment discrete is swept by what the scanned position to sweep object obtained when secondary scanning
It retouches data to be parameterized, establishes the corresponding object parameterization model of scanned position, and object parameterization model is stored to number
According in library, so that the occupied storage of patient data can be greatly reduced for directly storing discrete scan data
Space.And the object parameterization model established by storage in the database when time scanning, can be in order to storing each scanning
The parameterized model of foundation, so as to retain the historical data of patient.
On the basis of the above embodiments, after S130, can also include: by database purchase to local server,
Cloud server and/or mobile memory medium, to carry out the shared of patient data.
Specifically, when time corresponding object parameterization model of scanning and after secondary scanning information is stored to database,
Database can store into local service end, cloud service end and/or the tagged mobile memory medium of tool, or even can also
To store into the smart phone of patient, so that patient per's scanning not will receive the limit of Medical Devices or hospital
System realizes the shared of patient data, substantially increases user experience.When the new scan data of database purchase, can incite somebody to action
The database stored in the equipment such as local service end, cloud service end, the tagged mobile memory medium of tool also carries out in real time more
Newly, so as to recording and share all history scan datas of patient.
The present embodiment can be rebuild according to the object parameterization model under each scanning stored in database, thus
The 3-D image of scanned position when each scanning can be obtained, so that doctor can be best understood from patient based on 3-D image
The history state of an illness and change of illness state, such as the variation of tumour, organ size, density or variation of form etc., so as to make
Fixed optimal therapeutic scheme.The present embodiment can also be corresponding multiple according to multiple scanned positions in database with single pass
Parameterized model establishes human body overall model, and rebuild to human body overall model by way of playing with building blocks, and obtains whole
Body 3-D image improves diagnosis so that doctor can fully understand the physical condition of patient by watching whole 3-D image
Efficiency.By using the scan data in the corresponding database of every patient, can carrying out data management and analysis, such as can be with
Count the treatment cycle and therapeutic effect of every kind of disease, excavate the therapeutic regimen of every kind of disease, facilitate it is subsequent can be into
Row AI (Artificial Intelligence, artificial intelligence) diagnosis.
Embodiment two
Fig. 2 is a kind of flow chart of patient data storage method provided by Embodiment 2 of the present invention, and the present embodiment is above-mentioned
On the basis of embodiment, when the structure of database is default tree-like storage structure, to " by object parameterization model and when time sweeping
Information is retouched to store into database " it is optimized.Wherein the explanation of term identical or corresponding with the various embodiments described above is herein
It repeats no more.
Referring to fig. 2, patient data storage method provided in this embodiment specifically includes the following steps:
S210, scan data of scanned position when secondary scanning for obtaining sweep object and when time scanning information.
S220, according to the scan data, establish the corresponding object parameterization model of the scanned position.
S230, basis work as the scanned position information in time scanning information, whether there is scanned position pair in Test database
The history parameters model answered, if so, into S240;If it is not, then entering S250.
Wherein, scanned position information can include but is not limited to the Organ naming of scanned position.History parameters model is
Stored parameterized model in database, that is, the parameterized model established when scanning before.
Specifically, by whether there is the corresponding history parameters model of scanned position in Test database, work as to determine
The secondary storage mode for scanning corresponding object parameterization model.Illustratively, if when the scanned position information in time scanning information
For head, then the node data in Test database whether there is a corresponding history parameters model;If it exists, it thens follow the steps
The operation of S240;If it does not exist, the operation of S250 is thened follow the steps.
Distortion between S240, calculating history parameters model and object parameterization model, and according to model phase
Like degree and default tree-like storage structure, to object parameterization model and when time scanning information stores.
Wherein, distortion can be for measuring the difference between history parameters model and object parameterization model
Degree.If the difference degree of two models is smaller, distortion is higher.
Specifically, when there is the corresponding history parameters model of scanned position in the database, to this before showing
Organ is over-scanned, need at this time relatively before scan history parameters model with when time scanning target component model it
Between distortion.The present embodiment can be by calculating the offset between history parameters model and object parameterization model
Carry out characterization model similarity, i.e. offset is smaller, then distortion is higher.It can also be counted by other model way of contrast
Calculate the distortion between history parameters model and object parameterization model.Illustratively, if history parameters model is
One radius is the spherical equation A of 5cm, and object parameterization model is the spherical equation B that a radius is 5.005cm, then this two
The offset of a model is 0.05cm, and corresponding degrees of offset is 0.01%, i.e., distortion is 99.9%.The present embodiment can
With size and default tree-like storage structure based on distortion, to object parameterization model and when time scanning information carries out
Storage.
Optionally, according to distortion and default tree-like storage structure, to object parameterization model and when time scanning letter
Breath is stored, comprising: if distortion is greater than default similarity, establishes history parameters model and object parameterization mould
Related information between type, and according to default tree-like storage structure, to related information and when time scanning information stores;If mould
Type similarity, then according to tree-like storage structure is preset, is swept less than or equal to default similarity to object parameterization model and when secondary
Information is retouched to be stored.
Wherein, default similarity can be can be considered as according to model allowable error and practical application scene are pre-set
The minimum similarity degree of same model.Related information can refer to linking between history parameters model and object parameterization model
Information, so that the history parameters model of storage can be found according to related information.Illustratively, related information can be one
It is directed toward the pointer of the node of storage history parameters model, is joined so that the corresponding history of scanned position can be obtained according to the pointer
Numberization model.
Specifically, whether detection model similarity is greater than default similarity, if so, showing object parameterization model and going through
History parameterized model can be considered as the same model, can be according to default tree at this time without repeating storage object parameterization model
Shape storage organization establishes the pointer information of a direction history parameters model, i.e. related information, and only need to by pointer information and
When secondary scanning information is stored into the database of default tree-like storage structure, so as on the basis for retaining all scan datas
On, it is further reduced the memory space of occupancy.If distortion is less than or equal to default similarity, show object parameterization
Model and history parameters model cannot be considered as same model, can directly store target according to default tree-like storage structure at this time
Parameterized model and when time scanning information.
S250, the first new branch node is created in the database, and in creating the first new leaf on the first branch node
Child node, and according to default tree-like storage structure, it is tied by object parameterization model and when time scanning information is stored to the first branch
In point and the first leaf node.
Wherein, presetting tree-like storage structure can be configured according to user demand and actual scene.In the present embodiment
Default tree-like storage structure can be but not limited to the first tree-like storage structure and the second tree-like storage structure.First branch node
It can be one or more with the quantity of the first leaf node, it can be according to default tree-like storage structure and scanned position
Quantity is determined.
Specifically, the corresponding history parameters model of scanned position is not present in the database, then shows in database also
The not stored mistake scanned position information does not before over-scan scanned position, can create in the database at this time new
The first branch node and the first new leaf node is created on the first branch node, and can be with according to tree-like storage structure
By object parameterization model and when time scanning information is correspondingly stored into the first branch node and the first leaf node.
Optionally, according to tree-like storage structure is preset in S250, by object parameterization model and when time scanning information storage
Into the first branch node and the first leaf node, comprising:
If default tree-like storage structure is the first tree-like storage structure, time scanning of working as worked as in time scanning information is identified
Store into the first branch node, and by object parameterization model and when the scanned position information in time scanning information store to
In first leaf node;It, will be when the scanning in time scanning information if default tree-like storage structure is the second tree-like storage structure
Location information is stored into the first branch node, and by object parameterization model and when in time scanning information when time scanning mark
Knowledge is stored into the first leaf node.
Wherein, when secondary scanning mark can include but is not limited to sweep time mark and/or scanning times mark, wherein sweeping
Retouching time identifier can refer to when time sweep time stamp.Current Scan number mark can be when time scanning ordinal number of scanning.Fig. 3
Give a kind of schematic diagram of first tree-like storage structure;Fig. 4 gives a kind of schematic diagram of second tree-like storage structure.Such as figure
Shown in 3, root node in the first tree-like storage structure for storing the patient i.e. essential information of sweep object, as name, the age,
Heredity medication history etc.;Branch node is for storing scanning mark, and leaf node is for storing patient organ's information and parameterized model.
As shown in figure 4, the root node in the second tree-like storage structure is also used for storage patient basis, branch node is suffered from for storing
Person's organ information, leaf node is for storing scanning mark and parameterized model.
Specifically, it when default tree-like storage structure is the first tree-like storage structure, is tied using newly created first branch
Point storage stores object parameterization model and scanned position information using newly created first leaf node when time scanning mark.
When there are multiple scanned positions, and in database history parameters model corresponding there is no each scanned position when, it is false
If the quantity of scanned position is N, then need to create first branch node, for storing when time scanning mark, and this
N number of first leaf node is created on one branch node, and store in each first leaf node scanned position information and
Corresponding object parameterization model.By storing patient data using the first tree-like storage structure, certain can be easily inquired
The corresponding parameterized model of each patient organ obtained when scanning, as shown in Figure 3.
When default tree-like storage structure is the second tree-like storage structure, swept using newly created first branch node storage
Location information is retouched, stores object parameterization model using newly created first leaf node and when time scanning mark.It is more when existing
A scanned position, and there is no when the corresponding history parameters model of each scanned position in database, it is assumed that scanner section
The quantity of position is N, then needs to create N number of first branch node, so that storing a scanned position in each first branch node
Information, and first leaf node is created on each first branch node, for storing correspondingly object parameterization model
Mark is scanned with when secondary.By storing patient data using the second tree-like storage structure, some patient's device can be easily inquired
The parameterized model that official obtains in each scanning, as shown in Figure 4.
The technical solution of the present embodiment, by detecting database, there are the corresponding history parameters moulds of scanned position
When type, data storage is carried out according to the distortion between history parameters model and object parameterization model, so as to
Further decrease the memory space of occupancy.And data storage is carried out using different default tree-like storage structures, so as to
Meet the individual demand of user, improves user experience.
Based on the above technical solution, when distortion is greater than default similarity, according to default tree-like storage
Structure, to related information and when time scanning information stores, if may include: default tree-like storage structure is first tree-shaped to deposit
Storage structure, then create the second new branch node in the database, and in creating the second new leaf knot on the second branch node
Point;It will store when time scanning mark of working as in time scanning information into the second branch node, and swept by related information and when secondary
The scanned position information retouched in information is stored into the second leaf node;If default tree-like storage structure is the second tree-like storage knot
Structure, it is determined that the corresponding existing branch node of history parameters model, and new third leaf is created on branch node in having
Node, by related information and when time scanning mark of working as in time scanning information is stored into third leaf node.
Specifically, when default tree-like storage structure is the first tree-like storage structure, need to create one new second point
Branch node for storing when time scanning mark, and creates a second new branch node in second branch node, is used for
Store related information and scanned position information.It is new without creation when default tree-like storage structure is the second tree-like storage structure
Branch node, only need to determine the corresponding existing branch node of history parameters model, and have and create on branch node at this
One new third leaf node, for storing when time scanning mark and related information, so that in the second tree-like storage structure
Each branch can be used for characterizing the scan data of the same patient organ.
Similarly, when distortion is less than or equal to default similarity, according to default tree-like storage structure, to target
Parameterized model and when time scanning information is stored, if may include: default tree-like storage structure is the first tree-like storage knot
Structure then creates new third branch node in the database, and in creating new third leaf node on third branch node, will
When in secondary scanning information when time scanning mark is stored into third branch node, and by object parameterization model and when time sweeping
The scanned position information retouched in information is stored into third leaf node;If default tree-like storage structure is the second tree-like storage knot
Structure, it is determined that the corresponding existing branch node of history parameters model, and new third leaf is created on branch node in having
Node, by object parameterization model and when time scanning mark of working as in time scanning information is stored into third leaf node.
It is the embodiment of patient data storage device provided in an embodiment of the present invention, the device and the various embodiments described above below
Patient data storage method belong to the same inventive concept, the not detailed description in the embodiment of patient data storage device
Detail content can refer to the embodiment of above-mentioned patient data storage method.
Embodiment three
Fig. 5 is a kind of structural schematic diagram for patient data storage device that the embodiment of the present invention three provides, and the present embodiment can
The case where scan data suitable for storing patient organ.The device specifically includes: scan data obtains module 510, target ginseng
Numberization model building module 520 and object parameterization model memory module 530.
Wherein, scan data obtains module 510, for obtaining scanning of the scanned position of sweep object when secondary scanning
Data and when time scanning information;Object parameterization model building module 520, for establishing scanned position pair according to scan data
The object parameterization model answered;Object parameterization model memory module 530, for by object parameterization model and when time scanning letter
Breath is stored into database.
Optionally, the structure of the database is default tree-like storage structure;
Correspondingly, object parameterization model memory module 530, comprising:
History parameters model inspection unit, for according to when the scanned position information in time scanning information, detection data
It whether there is the corresponding history parameters model of scanned position in library;
First storage unit, for if so, calculating the model between history parameters model and object parameterization model
Similarity, and according to distortion and default tree-like storage structure, to object parameterization model and when time scanning information carries out
Storage;
Second storage unit for if it is not, then create the first new branch node in the database, and is tied in the first branch
The first new leaf node is created on point, and according to default tree-like storage structure, by object parameterization model and when time scanning letter
Breath is stored into the first branch node and the first leaf node.
Optionally, the first storage unit may include:
First storing sub-units, if being greater than default similarity for distortion, establish history parameters model with
Related information between object parameterization model, and according to default tree-like storage structure, to related information and when time scanning information
It is stored;
Second storing sub-units, if being less than or equal to default similarity for distortion, basis presets tree-shaped deposit
Storage structure, to object parameterization model and when time scanning information stores.
Optionally, the first storing sub-units are specifically used for: if default tree-like storage structure is the first tree-like storage structure,
Then create the second new branch node in the database, and in creating the second new leaf node on the second branch node;It will work as
Storing when time scanning identifies into the second branch node in secondary scanning information, and by related information and when in time scanning information
Scanned position information store into the second leaf node;If default tree-like storage structure is the second tree-like storage structure, really
Determine the corresponding existing branch node of history parameters model, and in creating new third leaf node on existing branch node, it will
Related information and when in time scanning information when time scanning mark being stored into third leaf node.
Optionally, the second storage unit is specifically used for: if default tree-like storage structure is the first tree-like storage structure,
It will store when time scanning mark of working as in time scanning information into the first branch node, and by object parameterization model and when secondary
Scanned position information in scanning information is stored into the first leaf node;If default tree-like storage structure is the second tree-like storage
Structure will then be stored when the scanned position information in time scanning information into the first branch node, and by object parameterization mould
Type and when in time scanning information when time scanning mark being stored into the first leaf node.
Optionally, when secondary scanning mark includes sweep time mark and/or scanning times mark.
Optionally, the device further include: database storage module, for by object parameterization model and when time scanning letter
After breath is stored into database, by database purchase to local server, cloud server and/or mobile memory medium, with
Carry out the shared of patient data.
Trouble provided by any embodiment of the invention can be performed in patient data storage device provided by the embodiment of the present invention
Person's date storage method has and executes the corresponding functional module of patient data storage method and beneficial effect.
Example IV
Fig. 6 is a kind of structural schematic diagram for equipment that the embodiment of the present invention four provides.Referring to Fig. 6, which includes:
One or more processors 610;
Memory 620, for storing one or more programs;
When one or more programs are executed by one or more processors 610, so that one or more processors 610 are realized
The patient data storage method as provided by any embodiment in above-described embodiment, this method comprises:
Obtain scan data of scanned position when secondary scanning of sweep object and when time scanning information;
According to scan data, the corresponding object parameterization model of scanned position is established;
By object parameterization model and when time scanning information is stored into database.
In Fig. 6 by taking a processor 610 as an example;Processor 610 and memory 620 in equipment can by bus or its
He connects mode, in Fig. 6 for being connected by bus.
Memory 620 is used as a kind of computer readable storage medium, can be used for storing software program, journey can be performed in computer
Sequence and module, if the corresponding program instruction/module of patient data storage method in the embodiment of the present invention is (for example, patient's number
Module 510, object parameterization model building module 520 and object parameterization model is obtained according to the scan data in storage device to deposit
Store up module 530).Software program, instruction and the module that processor 610 is stored in memory 620 by operation, thereby executing
The various function application and data processing of equipment realize above-mentioned patient data storage method.
Memory 620 mainly includes storing program area and storage data area, wherein storing program area can store operation system
Application program needed for system, at least one function;Storage data area, which can be stored, uses created data etc. according to equipment.This
Outside, memory 620 may include high-speed random access memory, can also include nonvolatile memory, for example, at least one
Disk memory, flush memory device or other non-volatile solid state memory parts.In some instances, memory 620 can be into one
Step includes the memory remotely located relative to processor 610, these remote memories can pass through network connection to equipment.On
The example for stating network includes but is not limited to internet, intranet, local area network, mobile radio communication and combinations thereof.
The patient data storage method that the equipment and above-described embodiment that the present embodiment proposes propose belongs to same inventive concept,
The technical detail of detailed description not can be found in above-described embodiment in the present embodiment, and the present embodiment has execution patient data
The identical beneficial effect of storage method.
Example IV
The present embodiment provides a kind of computer readable storage mediums, are stored thereon with computer program, and the program is processed
The patient data storage method such as any embodiment of that present invention is realized when device executes, this method comprises:
Obtain scan data of scanned position when secondary scanning of sweep object and when time scanning information;
According to scan data, the corresponding object parameterization model of scanned position is established;
By object parameterization model and when time scanning information is stored into database.
The computer storage medium of the embodiment of the present invention, can be using any of one or more computer-readable media
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium can be for example but not limited to: electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or
Any above combination of person.The more specific example (non exhaustive list) of computer readable storage medium includes: with one
Or the electrical connections of multiple conducting wires, portable computer diskette, hard disk, random access memory (RAM), read-only memory (ROM),
Erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light
Memory device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer readable storage medium can
With to be any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
Person is in connection.
Computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium other than storage medium is read, which can send, propagates or transmit and be used for
By the use of instruction execution system, device or device or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including but not limited to:
Wirelessly, electric wire, optical cable, RF etc. or above-mentioned any appropriate combination.
The computer for executing operation of the present invention can be write with one or more programming languages or combinations thereof
Program code, described program design language include object oriented program language, such as Java, Smalltalk, C++, also
Including conventional procedural programming language-such as " C " language or similar programming language.Program code can be complete
It executes, partly executed on the user computer on the user computer entirely, being executed as an independent software package, part
Part executes on the remote computer or executes on a remote computer or server completely on the user computer.It is relating to
And in the situation of remote computer, remote computer can pass through the network of any kind, including local area network (LAN) or wide area network
(WAN), it is connected to subscriber computer, or, it may be connected to outer computer (such as led to using ISP
Cross internet connection).
Will be appreciated by those skilled in the art that each module of the above invention or each step can use general meter
Device is calculated to realize, they can be concentrated on single computing device, or be distributed in network constituted by multiple computing devices
On, optionally, they can be realized with the program code that computer installation can be performed, so as to be stored in storage
It is performed by computing device in device, perhaps they are fabricated to each integrated circuit modules or will be more in them
A module or step are fabricated to single integrated circuit module to realize.In this way, the present invention is not limited to any specific hardware and
The combination of software.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that
The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention
It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also
It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.
Claims (10)
1. a kind of patient data storage method characterized by comprising
Obtain scan data of scanned position when secondary scanning of sweep object and when time scanning information;
According to the scan data, the corresponding object parameterization model of the scanned position is established;
The object parameterization model and time scanning information of working as are stored into database.
2. the method according to claim 1, wherein the structure of the database is default tree-like storage structure;
Correspondingly, the object parameterization model and time scanning information of working as are stored into database, comprising:
It is corresponding with the presence or absence of the scanned position in Test database according to the scanned position information when in time scanning information
History parameters model;
If so, the distortion between the history parameters model and the object parameterization model is calculated, and according to
The distortion and the default tree-like storage structure, to the object parameterization model and it is described when time scanning information into
Row storage;
If it is not, the first new branch node is then created in the database, and new in creation on first branch node
First leaf node, and according to the default tree-like storage structure, the object parameterization model and described secondary ought scan are believed
Breath is stored into first branch node and first leaf node.
3. according to the method described in claim 2, it is characterized in that, according to the distortion and the default tree-like storage
Structure stores the object parameterization model and time scanning information of working as, comprising:
If the distortion is greater than default similarity, the history parameters model and the object parameterization mould are established
Related information between type, and according to the default tree-like storage structure, to the related information and described when time scanning information
It is stored;
If the distortion is less than or equal to default similarity, according to the default tree-like storage structure, to the mesh
Mark parameterized model and time scanning information of working as are stored.
4. according to the method described in claim 3, it is characterized in that, according to the default tree-like storage structure, to the association
Information and time scanning information of working as are stored, comprising:
If the default tree-like storage structure is the first tree-like storage structure, the second new branch is created in the database
Node, and in creating the second new leaf node on second branch node;
By it is described when in time scanning information when time scanning mark being stored into second branch node, and by the association
Information and the scanned position information when in time scanning information are stored into second leaf node;
If the default tree-like storage structure is the second tree-like storage structure, it is determined that the history parameters model is corresponding
There is a branch node, and in creating new third leaf node on the existing branch node, by the related information and described works as
Storing when time scanning identifies into the third leaf node in secondary scanning information.
5. according to the method described in claim 2, it is characterized in that, according to the default tree-like storage structure, by the target
Parameterized model and time scanning information of working as are stored into first branch node and first leaf node, comprising:
If the default tree-like storage structure is the first tree-like storage structure, by described when being scanned when secondary in time scanning information
Mark is stored into first branch node, and by the object parameterization model and described when sweeping in time scanning information
Location information is retouched to store into first leaf node;
If the default tree-like storage structure is the second tree-like storage structure, by the scanned position when in time scanning information
Information is stored into first branch node, and by the object parameterization model and described when working as in time scanning information
Secondary scanning mark is stored into first leaf node.
6. method according to claim 4 or 5, which is characterized in that described when time scanning mark includes identifying sweep time
And/or scanning times mark.
7. the method according to claim 1, wherein by the object parameterization model and it is described when time scanning
After information is stored into database, further includes:
By the database purchase to local server, cloud server and/or mobile memory medium, to carry out patient data
It is shared.
8. a kind of patient data storage device characterized by comprising
Scan data obtains module, for obtaining scan data of the scanned position of sweep object when secondary scanning and when time sweeping
Retouch information;
Object parameterization model building module, for establishing the corresponding target ginseng of the scanned position according to the scan data
Numberization model;
Object parameterization model memory module, for storing the object parameterization model and time scanning information of working as to number
According in library.
9. a kind of equipment, which is characterized in that the equipment includes:
One or more processors;
Memory, for storing one or more programs;
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
The now patient data storage method as described in any in claim 1-7.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is by processor
The patient data storage method as described in any in claim 1-7 is realized when execution.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110164529A (en) * | 2019-05-22 | 2019-08-23 | 上海联影医疗科技有限公司 | A kind of information processing method, device, electronic equipment and storage medium |
CN117238487A (en) * | 2023-11-16 | 2023-12-15 | 南京志行信息科技有限公司 | Medical big data processing method and system |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7526132B2 (en) * | 2003-01-09 | 2009-04-28 | Siemens Aktiengesellschaft | Apparatus, method, storage medium and data structure for identifying and storing data |
US20100226550A1 (en) * | 2009-01-14 | 2010-09-09 | Canon Kabushiki Kaisha | Information processing apparatus and information processing method |
CN103886167A (en) * | 2012-11-15 | 2014-06-25 | 上海联影医疗科技有限公司 | Medical image processing method and system, client side and server |
CN105184074A (en) * | 2015-09-01 | 2015-12-23 | 哈尔滨工程大学 | Multi-modal medical image data model based medical data extraction and parallel loading method |
CN105260609A (en) * | 2015-10-21 | 2016-01-20 | 浪潮(北京)电子信息产业有限公司 | Method and apparatus storing medical images |
US20170024515A1 (en) * | 2015-05-22 | 2017-01-26 | Box, Inc. | Using shared metadata to preserve logical associations between files when the files are physically stored in dynamically-determined cloud-based storage structures |
CA3014670A1 (en) * | 2016-03-08 | 2017-09-14 | Nant Holdings Ip, Llc | Image feature combination for image-based object recognition |
CN108806773A (en) * | 2018-05-21 | 2018-11-13 | 上海熙业信息科技有限公司 | Medical image cloud storage platform designing method |
CN108846022A (en) * | 2018-05-24 | 2018-11-20 | 沈阳东软医疗系统有限公司 | File memory method, document conversion method, device, equipment and storage medium |
-
2018
- 2018-12-29 CN CN201811647784.1A patent/CN109726306B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7526132B2 (en) * | 2003-01-09 | 2009-04-28 | Siemens Aktiengesellschaft | Apparatus, method, storage medium and data structure for identifying and storing data |
US20100226550A1 (en) * | 2009-01-14 | 2010-09-09 | Canon Kabushiki Kaisha | Information processing apparatus and information processing method |
CN103886167A (en) * | 2012-11-15 | 2014-06-25 | 上海联影医疗科技有限公司 | Medical image processing method and system, client side and server |
US20170024515A1 (en) * | 2015-05-22 | 2017-01-26 | Box, Inc. | Using shared metadata to preserve logical associations between files when the files are physically stored in dynamically-determined cloud-based storage structures |
CN105184074A (en) * | 2015-09-01 | 2015-12-23 | 哈尔滨工程大学 | Multi-modal medical image data model based medical data extraction and parallel loading method |
CN105260609A (en) * | 2015-10-21 | 2016-01-20 | 浪潮(北京)电子信息产业有限公司 | Method and apparatus storing medical images |
CA3014670A1 (en) * | 2016-03-08 | 2017-09-14 | Nant Holdings Ip, Llc | Image feature combination for image-based object recognition |
CN108806773A (en) * | 2018-05-21 | 2018-11-13 | 上海熙业信息科技有限公司 | Medical image cloud storage platform designing method |
CN108846022A (en) * | 2018-05-24 | 2018-11-20 | 沈阳东软医疗系统有限公司 | File memory method, document conversion method, device, equipment and storage medium |
Non-Patent Citations (1)
Title |
---|
刘秋彤: ""基于云平台的分布式医学影像数据存储技术的研究与应用"", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110164529A (en) * | 2019-05-22 | 2019-08-23 | 上海联影医疗科技有限公司 | A kind of information processing method, device, electronic equipment and storage medium |
CN110164529B (en) * | 2019-05-22 | 2023-09-01 | 上海联影医疗科技股份有限公司 | Information processing method, device, electronic equipment and storage medium |
CN117238487A (en) * | 2023-11-16 | 2023-12-15 | 南京志行信息科技有限公司 | Medical big data processing method and system |
CN117238487B (en) * | 2023-11-16 | 2024-02-23 | 南京志行信息科技有限公司 | Medical big data processing method and system |
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