CN106227850A - A kind of medical test monitoring control system based on mobile terminal and control method - Google Patents

Abstract

The invention discloses a kind of medical test monitoring control system based on mobile terminal and control method, one end of mobile terminal is connected with printing equipment, the other end of mobile terminal sets with medical image and is connected, medical image is standby to be connected with monitor and detection device by transmission line, the outfan of monitor and detection device is connected with the input of data collecting system, and the outfan of data collecting system is connected with the input of processing system with data analysis；Data analysis is connected with the input of data control system with the outfan of processing system, and data control system is connected with alarm device.The present invention is by mating medical image, set up the Medical imaging with multidimensional mark, the medical data of patient is converted into matrix by normalization, store within the storage system as medical files, both facilitated ordinary person to inquire about required medical science relevant information, and facilitated again medical professional and inquire about relevant medical information targetedly.

Description

A kind of medical test monitoring control system based on mobile terminal and control method

Technical field

The invention belongs to medical instruments field, particularly relate to a kind of medical test monitoring control system based on mobile terminal And control method.

Background technology

At present, along with medical test requirement is improved constantly by clinical medicine, but the program of medical test is more complicated, Owing to data volume is big, manually logging data, the longest, easily make mistakes, and it cannot be guaranteed that the accuracy of medical test result And reliability, it has not been convenient to inquiry, bring inconvenience to work.

Summary of the invention

The present invention solves present in known technology that the program of medical test is more complicated, data volume greatly, the longest, hold Error-prone, it has not been convenient to the problem of inquiry and provide a kind of simple in construction, easy to use, improve work efficiency based on mobile terminal Medical test monitoring control system and control method.

The present invention is achieved in that a kind of medical test method for monitoring and controlling based on mobile terminal includes:

Step one, collection medical image source images, read in two dimensional source image sequence, builds 3D data volume as input number According to, and therefrom choose corresponding three-dimensional data tissue points；

Step 2, two dimensional source image is carried out section segmentation, image is distributed to server and carries out data process, and One_to_one corresponding is carried out with three-dimensional data tissue points；

Step 3, take the good three-dimensional data tissue points of one_to_one corresponding and close on the feature of eight direction points definition tissue points, and The Clifford characteristic vector that construct vegetarian refreshments is corresponding；

Step 4, character by the seed points product corresponding with tissue points Clifford characteristic vector, it is judged that tissue points Whether it is puncta vasculosa, it is achieved valid data separation from overall data, it is judged that the tissue points for puncta vasculosa is written out to export 3D data volume, directly for three dimensional display provide data；

Step 5, described 3D data volume is utilized to set up the Medical imaging of multidimensional mark, from medical science to be matched The characteristic attribute of this medical image of Extraction of Image, by medical image to be matched, existing image enters with Medical imaging Line search mates；

Step 6, the medical data about multiple patients is divided into patient characteristics data and treatment data, and by this feature Data and treatment data are converted into matrix by normalization respectively；

Step 7, by the medical image being associated with patient and medical record data, and with described medical image The identification data being associated with medical record data, store within the storage system as medical files；

Step 8, determine priority according to patient medical record data, send relevant process according to priority to mobile terminal Message；

Step 9, mobile terminal are receiving the medical data first that user selects to check given patient in appointment check item During instruction, send the second instruction of medical image described in acquisition request to server；

Step 10, mobile terminal are after obtaining and showing initial medical data, according to user's image on mobile terminals Check operation, send request of data to server so that server based on data request calculates image data, and by described image Data and final medical data are sent to mobile terminal.

Further, described medical test method for monitoring and controlling based on mobile terminal, also include selecting from sequence of source images Take a conduct reference image, and the area-of-interest choosing imaging object carries out medical imaging enhancement as enhancing part, tool Body method is:

According to expression formula

$\mathrm{\λ}\left(\stackrel{\→}{r}\right)=\frac{\underset{i=1}{\overset{N}{\Σ}}{S}_i\left(\stackrel{\→}{r}\right)\·S_{ref,i}\left(\stackrel{\→}{r}\right)}{\underset{i=1}{\overset{N}{\Σ}}{S}_{ref,i}^2\left(\stackrel{\→}{r}\right)};$

Calculate the weighted value of each pixel in described primitive medicine image sequence, whereinRepresent the pixel of area-of-interest Position, i represents i-th image in described primitive medicine image sequence, and N represents the total of image in described primitive medicine image sequence Number, S_iThe pixel value of the area-of-interest represented in described primitive medicine image sequence in i-th image, S_{Ref, i}Represent described ginseng Examine the pixel value of image.

Further, the medical data about multiple patients is divided into patient characteristics data and treatment data, and by this feature Data and treatment data are converted into matrix by normalization respectively, method particularly includes:

Step one, medical data is divided into patient characteristics data and treatment data；

Step 2, by patient characteristics Data Discretization, quantize；

Step 3, by discretization and the patient characteristics data normalization according to the following formula after quantizing, thus it is special to obtain patient Levy matrix x；

$x_i=\frac{x_i-x_{\min }}{x_{\max }-x_{\min }}-1;$

Wherein, x_iRepresent the characteristic of i-th patient, x_maxRepresent the maximum of patient characteristics data, x_minRepresent disease The minima of people's characteristic；

Step 4, by treatment Data Discretization, quantize.

Further, by revision program, described medical image and medical record data are filtered, data screening, point Cut, classify and/or standardization is to generate amendment file, or described medical image of being sorted out by resolver and/or standardize Amendment file is generated with medical record data.

Another object of the present invention is to provide a kind of medical test monitoring control system based on mobile terminal, including: Medical imaging device, mobile terminal, monitor and detection device, data collecting system, data analysis and processing system, Data Control system System, alarm device, printing equipment；

One end of mobile terminal is connected with printing equipment, and the other end of mobile terminal sets with medical image and is connected, medical science shadow Being connected with monitor and detection device by transmission line as standby, the outfan of monitor and detection device connects with the input of data collecting system Connecing, the outfan of data collecting system is connected with the input of processing system with data analysis；Data analysis and processing system Outfan is connected with the input of data control system, and data control system is connected with alarm device again.

Further, described medical imaging device is: medical x-ray machine, digital image apparatus, x-ray computer tomography One therein in equipment, MR imaging apparatus, supersonic imaging apparatus, nuclear medical imaging device.

Further, described mobile terminal is provided with image procossing and rebuilds module, and described image procossing rebuilds the image of module Processing method includes:

The first step, uses cone-beam filter back-projection algorithm to obtain initial pictures u₀: M width projection to be reconstructed for XCT is used Filter back-projection algorithm is rebuild, and the Cone beam projection data of arc track scanning is carried out half accurate reconstruction；Arc track is short sweeping Retouch track, i.e. π adds fan angle scanning track；Also it is supershort scan track, i.e. includes less than the track of short scanning: weight data for projection Partial derivative；One-dimensional Hilbert transform along level Yu non-horizontal directions；The back projection of arc track；Image u after rebuilding₀ As initial pictures；

Second step, making k=0, k is iterations (k=0,1,2 ... K-1), by u₀As iteration initial pictures u⁽⁰⁾, use Algebraic Iterative Method more new images:

$u_j^{(k+1)}=u_j^{\left(k\right)}+\mathrm{\λ}\frac{(p_i-{\Σ}_{n=1}^N{u}_n^{\left(k\right)}\·m_{in})}{{\Σ}_{n=1}^N{m}_{in}^2}{m}_{ij};$

Wherein, k is iterations (k=0,1,2 ... K),The image updated after being+1 iteration of kth,For more Image before new, j representative image footmark, p_iFor the projection value of i-th detector cells, m_inNth pixel value pair in representative image The contribution of detector cells i, λ is relaxation factor, between span 0～2；

3rd step, carries out nonnegative value constraint: values being less than 0 all in upper step are entered as zero, the most such as to the image obtained ReallyThen make

4th step, according to gradient descent method to u^(k+1)Seek the image after image minimum total variation:

$u^{(k+1,l+1)}=u^{(k+1,l)}-a\left|\right|u^{(k+1,0)}-u^{\left(k\right)}\left|\right|*d{\hat{u}}^{(k+1,l)};$

Wherein l is the iterations (l=0,1 ... L-1) of gradient descent method, and a is step factor；

5th step, makes k=k+1, u^(k)=u^(k,L+1), repeat to walk second step the-the four step, until meeting iterations requirement.

Further, described server is provided with distributed cloud computing Data Migration module, described distributed cloud computing data Data Migrating Strategy can be divided into three according to the difference of network state by the distributed cloud computing data migration method of transferring module Kind；

(1) user logs in edge cloud when using cloud computing service, and the data message required for this service is formed pressure by system Contracting data request information is sent to core cloud；What the quick indexing of data compressing method was calculated is relative offset, A constant characteristic according to LZ77 target strings is mated, and after current matching failure, directly has access to what the next one can mate Position, it is not necessary to do unnecessary logical judgment and computing；Before LZ77 is carried out, build an overall quick indexing table, yes LZ77 becomes original 1/2 at the frequency doing sliding window coupling^k, and the complexity constructed be only Θ (m), m for pressure The size of contracting file；Using new compression of parameters index F (x)=Speed (x)/Ratio (x), x is input file；With data For core, by authentication and Public Key Infrastructure, the Producer of explicit data, the owner and user, by identity Authentication center's management private key, by data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data Service is provided with to application；By encrypting explicit data Producer with the private key of data producer, by with data owner Public key encryption carry out the explicit data owner, and realize the born encryption of data；Use again after deciphering with the private key of data owner The public key encryption of data consumer or licensee realizes data grant and uses, and licensing process passes through watermark and data registration center Record and manage；Data resource is carried out adaptive management, it is ensured that the uniqueness of data and concordance, supervise and dispose number According to various Deviant Behavioies；By data owner and license process record and get off, with initial data one in the way of watermark Rise and be encrypted management；Various application are provided and support, determine the ring of data safety applications by the associated application access to data Border, realizes the safety guarantee of internal storage data by multiple means and is not broken into stealing；

(2), after core cloud receives data request information, search the local cloud of this user, and this data request information is sent out Deliver to the local cloud of this user；

(3), after this user local cloud receives message, transmit data to user according to the information of data request information and log in Edge cloud, information include send address, data name；

(4), after user's service makes to be finished these data, by data deletion, next time moves when using these data again from the cloud of local Move；

In the case of network state difference, use based on the data migration method prestored:

1) user logs in edge cloud and uses cloud service, whether has the data required for this service in system detection edge cloud, By data compression, turn 5 if having)；What the quick indexing of data compressing method was calculated is relative offset, according to LZ77 A constant characteristic for target strings is mated, and after current matching failure, directly has access to the position that the next one can mate, it is not necessary to Do unnecessary logical judgment and computing；Before LZ77 is carried out, building an overall quick indexing table, the LZ77 being is sliding The frequency of Window match becomes original 1/2^k, and the complexity constructed to be only Θ (m), m be the size of compressed file Size；Using new compression of parameters index F (x)=Speed (x)/Ratio (x), x is input file；With data as core, pass through Authentication and Public Key Infrastructure, the Producer of explicit data, the owner and user, by authentication centre management Private key, by data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data and application is provided Service；By encrypting explicit data Producer with the private key of data producer, by coming with the public key encryption of data owner The explicit data owner, and realize the born encryption of data；After deciphering with the private key of data owner again with data consumer or The public key encryption of licensee realizes data grant and uses, and licensing process is recorded by watermark and data registration center and managed Reason；Data resource is carried out adaptive management, it is ensured that the uniqueness of data and concordance, supervise and dispose the various exceptions of data Behavior；By data owner and license process record and get off in the way of watermark, it is encrypted pipe together with initial data Reason；Various application are provided and support, determine the environment of data safety applications, by multiple hands by the associated application access to data The safety guarantee of Duan Shixian internal storage data and be not broken into stealing；

2) data required for this service are formed data request information and are sent to core cloud by edge cloud system；

3), after core cloud receives data request information, search the local cloud of this user, and this data request information is sent out Deliver to the local cloud of this user；

4), after this user local cloud receives message, transmit data to what user logged according to the information of data request information Edge cloud, information includes sending address, data name；

5) after user's service makes to be finished these data, this edge cloud is stored data in, in order to user uses next time；

When network state is continually changing with extraneous factor, use data migration method based on network state:

1 user logs in edge cloud and uses cloud service, whether has the data required for this service, number in system detection edge cloud According to compression, turn 5 if having；What the quick indexing of data compressing method was calculated is relative offset, according to LZ77 target A constant characteristic for string is mated, and after current matching failure, directly has access to the position that the next one can mate, it is not necessary to do many Remaining logical judgment and computing；Before LZ77 is carried out, building an overall quick indexing table, the LZ77 being is doing sliding window The frequency of coupling becomes original 1/2^k, and the complexity constructed to be only Θ (m), m be the size of compressed file； Using new compression of parameters index F (x)=Speed (x)/Ratio (x), x is input file；With data as core, recognized by identity Card and Public Key Infrastructure, the Producer of explicit data, the owner and user, by authentication centre management private key, By data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data and provide service to application； By encrypting explicit data Producer, by clearly counting with the public key encryption of data owner with the private key of data producer According to the owner, and realize the born encryption of data；Again with data consumer or authorized after deciphering with the private key of data owner The public key encryption of people realizes data grant and uses, and licensing process is recorded by watermark and data registration center and managed；Right Data resource carries out adaptive management, it is ensured that the uniqueness of data and concordance, supervises and dispose the various Deviant Behavioies of data； By data owner and license process record and get off in the way of watermark, it is encrypted management together with initial data；Close Various application are provided and support, determine the environment of data safety applications, realized by multiple means by the connection application access to data The safety guarantee of internal storage data and be not broken into stealing；

Formation data request information required for this service is sent to core cloud by 2 edge cloud systems；

After 3 core clouds receive data request information, search the local cloud of this user, and this data request information is sent Local cloud to this user；

After 4 these user local clouds receive message, transmit data to what user logged according to the information of data request information Edge cloud, information includes sending address, data name；

After 5 user's services make to be finished these data, system judges current network delay, if postponing big, turning 6, otherwise turning 7；

6 store data in this edge cloud, in order to user uses next time, turn 8；

7 by data deletion, and when user uses next time, from local, cloud migrates again；

8 terminate.

The present invention, by mating medical image, is had the Medical imaging of multidimensional mark, adopts by foundation Obtain the flag information of plurality of medical image with various ways and be stored in Medical imaging；By the medical science about multiple patients Data are divided into patient characteristics data and treatment data, and by normalization, this feature data and treatment data are converted into square respectively Battle array, by the medical image being associated with patient and medical record data, and with described medical image and medical record data phase The identification data of association, store within the storage system as medical files；Use various ways to extract image to be matched simultaneously Characteristic attribute, uses various ways and the medical image number with multidimensional mark finally by the characteristic attribute extracted Mate according to the image case in storehouse, both facilitated ordinary person to inquire about required medical science relevant information, facilitated again medical science special Industry personnel inquire about the needs of relevant medical information targetedly.

Accompanying drawing explanation

Fig. 1 is medical test monitoring control system based on mobile terminal and the control method of embodiment of the present invention offer Structural representation；

In figure: 1, medical imaging device；2, mobile terminal；3, monitor and detection device；4, data collecting system；5, data are divided Analysis and processing system；6, data control system；7, alarm device；8, printing equipment.

Detailed description of the invention

For the summary of the invention of the present invention, feature and effect can be further appreciated that, hereby enumerate following example, and coordinate accompanying drawing Describe in detail as follows:

Refer to shown in Fig. 1:

As it is shown in figure 1, the medical test monitoring control system based on mobile terminal that the embodiment of the present invention provides includes: doctor Learn image documentation equipment 1, mobile terminal 2, monitor and detection device 3, data collecting system 4, data analysis and processing system 5, data control System 6 processed, alarm device 7, printing equipment 8；

One end of mobile terminal 2 is connected with printing equipment 8, and the other end of mobile terminal 2 sets with medical image and is connected, medical science Image is standby to be connected with monitor and detection device 3 by transmission line, and the outfan of monitor and detection device 3 is defeated with data collecting system 4 Entering end to connect, the outfan of data collecting system 4 is connected with the input of data analysis with processing system 5；Data analysis and place The outfan of reason system 5 is connected with the input of data control system 6, and data control system 6 is connected with alarm device 7 again.

Described medical imaging device 1 is: medical x-ray machine, digital image apparatus, x-ray computer tomography equipment, magnetic One therein in resonance image-forming equipment, supersonic imaging apparatus, nuclear medical imaging device.

Described monitor and detection device 3 is real-time detecting system.

Described data analysis includes with processing system 5: data pretreatment, data digging system.

Monitor and detection device 3 is by detecting the image on medical imaging device 1, and data collecting system 4 is right simultaneously The data that monitor and detection device 3 detects are concluded and are collected；The data collected are passed to again number by data collecting system 4 According to analyzing and processing system 5, data analysis and processing system 5 carry out pretreatment and excavation, data analysis and process system to data System 5 passes to data control system 6 by analyze again to data, and data are further controlled by data control system 6, If data are out of control, alarm device 7 can be reported to the police, and data out of control carry out data analysis again and process, and accuracy rate is high, guarantor The accuracy of card medical test result and reliability；It is connected with printing equipment 8 by mobile terminal 2, can be by the report of inspection Singly print, simple to operate, bring conveniently to work.

The medical test method for monitoring and controlling based on mobile terminal of the embodiment of the present invention comprises the following steps:

Step one, collection medical image source images, read in two dimensional source image sequence, builds 3D data volume as input number According to, and therefrom choose corresponding three-dimensional data tissue points；

Step 2, two dimensional source image is carried out section segmentation, image is distributed to server and carries out data process, and One_to_one corresponding is carried out with three-dimensional data tissue points；

Step 3, take the good three-dimensional data tissue points of one_to_one corresponding and close on the feature of eight direction points definition tissue points, and The Clifford characteristic vector that construct vegetarian refreshments is corresponding；

Step 4, character by the seed points product corresponding with tissue points Clifford characteristic vector, it is judged that tissue points Whether it is puncta vasculosa, it is achieved valid data separation from overall data, it is judged that the tissue points for puncta vasculosa is written out to export 3D data volume, directly for three dimensional display provide data；

Step 5, described 3D data volume is utilized to set up the Medical imaging of multidimensional mark, from medical science to be matched The characteristic attribute of this medical image of Extraction of Image, by medical image to be matched, existing image enters with Medical imaging Line search mates；

Step 6, the medical data about multiple patients is divided into patient characteristics data and treatment data, and by this feature Data and treatment data are converted into matrix by normalization respectively；

Step 7, by the medical image being associated with patient and medical record data, and with described medical image The identification data being associated with medical record data, store within the storage system as medical files；

Step 8, determine priority according to patient medical record data, send relevant process according to priority to mobile terminal Message；

Step 9, mobile terminal are receiving the medical data first that user selects to check given patient in appointment check item During instruction, send the second instruction of medical image described in acquisition request to server；

Step 10, mobile terminal are after obtaining and showing initial medical data, according to user's image on mobile terminals Check operation, send request of data to server so that server based on data request calculates image data, and by described image Data and final medical data are sent to mobile terminal.

Further, described medical test method for monitoring and controlling based on mobile terminal, also include selecting from sequence of source images Take a conduct reference image, and the area-of-interest choosing imaging object carries out medical imaging enhancement as enhancing part, tool Body method is:

According to expression formula:

$\mathrm{\λ}\left(\stackrel{\→}{r}\right)=\frac{\underset{i=1}{\overset{N}{\Σ}}{S}_i\left(\stackrel{\→}{r}\right)\·S_{ref,i}\left(\stackrel{\→}{r}\right)}{\underset{i=1}{\overset{N}{\Σ}}{S}_{ref,i}^2\left(\stackrel{\→}{r}\right)};$

Calculate the weighted value of each pixel in described primitive medicine image sequence, whereinRepresent the pixel of area-of-interest Position, i represents i-th image in described primitive medicine image sequence, and N represents the total of image in described primitive medicine image sequence Number, S_iThe pixel value of the area-of-interest represented in described primitive medicine image sequence in i-th image, S_{Ref, i}Represent described ginseng Examine the pixel value of image.

Further, the medical data about multiple patients is divided into patient characteristics data and treatment data, and by this feature Data and treatment data are converted into matrix by normalization respectively, method particularly includes:

Step one, medical data is divided into patient characteristics data and treatment data；

Step 2, by patient characteristics Data Discretization, quantize；

Step 3, by discretization and the patient characteristics data normalization according to the following formula after quantizing, thus it is special to obtain patient Levy matrix x；

$x_i=\frac{x_i-x_{\min }}{x_{\max }-x_{\min }}-1;$

Wherein, x_iRepresent the characteristic of i-th patient, x_maxRepresent the maximum of patient characteristics data, x_minRepresent disease The minima of people's characteristic；

Step 4, by treatment Data Discretization, quantize.

Further, by revision program, described medical image and medical record data are filtered, data screening, point Cut, classify and/or standardization is to generate amendment file, or described medical image of being sorted out by resolver and/or standardize Amendment file is generated with medical record data.

Further, described mobile terminal is provided with image procossing and rebuilds module, and described image procossing rebuilds the image of module Processing method includes:

The first step, uses cone-beam filter back-projection algorithm to obtain initial pictures u₀: M width projection to be reconstructed for XCT is used Filter back-projection algorithm is rebuild, and the Cone beam projection data of arc track scanning is carried out half accurate reconstruction；Arc track is short sweeping Retouch track, i.e. π adds fan angle scanning track；Also it is supershort scan track, i.e. includes less than the track of short scanning: weight data for projection Partial derivative；One-dimensional Hilbert transform along level Yu non-horizontal directions；The back projection of arc track；Image u after rebuilding₀ As initial pictures；

Second step, making k=0, k is iterations (k=0,1,2 ... K-1), by u₀As iteration initial pictures u⁽⁰⁾, use Algebraic Iterative Method more new images:

$u_j^{(k+1)}=u_j^{\left(k\right)}+\mathrm{\λ}\frac{(p_i-{\Σ}_{n=1}^N{u}_n^{\left(k\right)}\·m_{in})}{{\Σ}_{n=1}^N{m}_{in}^2}{m}_{ij};$

Wherein, k is iterations (k=0,1,2 ... K),The image updated after being+1 iteration of kth,For more Image before new, j representative image footmark, p_iFor the projection value of i-th detector cells, m_inNth pixel value pair in representative image The contribution of detector cells i, λ is relaxation factor, between span 0～2；

3rd step, carries out nonnegative value constraint: values being less than 0 all in upper step are entered as zero, the most such as to the image obtained ReallyThen make

4th step, according to gradient descent method to u^(k+1)Seek the image after image minimum total variation:

$u^{(k+1,l+1)}=u^{(k+1,l)}-a\left|\right|u^{(k+1,0)}-u^{\left(k\right)}\left|\right|*d{\hat{u}}^{(k+1,l)};$

Wherein l is the iterations (l=0,1 ... L-1) of gradient descent method, and a is step factor；

5th step, makes k=k+1, u^(k)=u^(k,L+1), repeat to walk second step the-the four step, until meeting iterations requirement.

Further, described server is provided with distributed cloud computing Data Migration module, described distributed cloud computing data Data Migrating Strategy can be divided into three according to the difference of network state by the distributed cloud computing data migration method of transferring module Kind；

(1) user logs in edge cloud when using cloud computing service, and the data message required for this service is formed pressure by system Contracting data request information is sent to core cloud；What the quick indexing of data compressing method was calculated is relative offset, A constant characteristic according to LZ77 target strings is mated, and after current matching failure, directly has access to what the next one can mate Position, it is not necessary to do unnecessary logical judgment and computing；Before LZ77 is carried out, build an overall quick indexing table, yes LZ77 becomes original 1/2 at the frequency doing sliding window coupling^k, and the complexity constructed be only Θ (m), m for pressure The size of contracting file；Using new compression of parameters index F (x)=Speed (x)/Ratio (x), x is input file；With data For core, by authentication and Public Key Infrastructure, the Producer of explicit data, the owner and user, by identity Authentication center's management private key, by data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data Service is provided with to application；By encrypting explicit data Producer with the private key of data producer, by with data owner Public key encryption carry out the explicit data owner, and realize the born encryption of data；Use again after deciphering with the private key of data owner The public key encryption of data consumer or licensee realizes data grant and uses, and licensing process passes through watermark and data registration center Record and manage；Data resource is carried out adaptive management, it is ensured that the uniqueness of data and concordance, supervise and dispose number According to various Deviant Behavioies；By data owner and license process record and get off, with initial data one in the way of watermark Rise and be encrypted management；Various application are provided and support, determine the ring of data safety applications by the associated application access to data Border, realizes the safety guarantee of internal storage data by multiple means and is not broken into stealing；

(2), after core cloud receives data request information, search the local cloud of this user, and this data request information is sent out Deliver to the local cloud of this user；

(3), after this user local cloud receives message, transmit data to user according to the information of data request information and log in Edge cloud, information include send address, data name；

(4), after user's service makes to be finished these data, by data deletion, next time moves when using these data again from the cloud of local Move；

In the case of network state difference, use based on the data migration method prestored:

1) user logs in edge cloud and uses cloud service, whether has the data required for this service in system detection edge cloud, By data compression, turn 5 if having)；What the quick indexing of data compressing method was calculated is relative offset, according to LZ77 A constant characteristic for target strings is mated, and after current matching failure, directly has access to the position that the next one can mate, it is not necessary to Do unnecessary logical judgment and computing；Before LZ77 is carried out, building an overall quick indexing table, the LZ77 being is sliding The frequency of Window match becomes original 1/2^k, and the complexity constructed to be only Θ (m), m be the size of compressed file Size；Using new compression of parameters index F (x)=Speed (x)/Ratio (x), x is input file；With data as core, pass through Authentication and Public Key Infrastructure, the Producer of explicit data, the owner and user, by authentication centre management Private key, by data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data and application is provided Service；By encrypting explicit data Producer with the private key of data producer, by coming with the public key encryption of data owner The explicit data owner, and realize the born encryption of data；After deciphering with the private key of data owner again with data consumer or The public key encryption of licensee realizes data grant and uses, and licensing process is recorded by watermark and data registration center and managed Reason；Data resource is carried out adaptive management, it is ensured that the uniqueness of data and concordance, supervise and dispose the various exceptions of data Behavior；By data owner and license process record and get off in the way of watermark, it is encrypted pipe together with initial data Reason；Various application are provided and support, determine the environment of data safety applications, by multiple hands by the associated application access to data The safety guarantee of Duan Shixian internal storage data and be not broken into stealing；

2) data required for this service are formed data request information and are sent to core cloud by edge cloud system；

3), after core cloud receives data request information, search the local cloud of this user, and this data request information is sent out Deliver to the local cloud of this user；

4), after this user local cloud receives message, transmit data to what user logged according to the information of data request information Edge cloud, information includes sending address, data name；

5) after user's service makes to be finished these data, this edge cloud is stored data in, in order to user uses next time；

When network state is continually changing with extraneous factor, use data migration method based on network state:

1 user logs in edge cloud and uses cloud service, whether has the data required for this service, number in system detection edge cloud According to compression, turn 5 if having；What the quick indexing of data compressing method was calculated is relative offset, according to LZ77 target A constant characteristic for string is mated, and after current matching failure, directly has access to the position that the next one can mate, it is not necessary to do many Remaining logical judgment and computing；Before LZ77 is carried out, building an overall quick indexing table, the LZ77 being is doing sliding window The frequency of coupling becomes original 1/2^k, and the complexity constructed to be only Θ (m), m be the size of compressed file； Using new compression of parameters index F (x)=Speed (x)/Ratio (x), x is input file；With data as core, recognized by identity Card and Public Key Infrastructure, the Producer of explicit data, the owner and user, by authentication centre management private key, By data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data and provide service to application； By encrypting explicit data Producer, by clearly counting with the public key encryption of data owner with the private key of data producer According to the owner, and realize the born encryption of data；Again with data consumer or authorized after deciphering with the private key of data owner The public key encryption of people realizes data grant and uses, and licensing process is recorded by watermark and data registration center and managed；Right Data resource carries out adaptive management, it is ensured that the uniqueness of data and concordance, supervises and dispose the various Deviant Behavioies of data； By data owner and license process record and get off in the way of watermark, it is encrypted management together with initial data；Close Various application are provided and support, determine the environment of data safety applications, realized by multiple means by the connection application access to data The safety guarantee of internal storage data and be not broken into stealing；

Formation data request information required for this service is sent to core cloud by 2 edge cloud systems；

After 3 core clouds receive data request information, search the local cloud of this user, and this data request information is sent Local cloud to this user；

After 4 these user local clouds receive message, transmit data to what user logged according to the information of data request information Edge cloud, information includes sending address, data name；

After 5 user's services make to be finished these data, system judges current network delay, if postponing big, turning 6, otherwise turning 7；

6 store data in this edge cloud, in order to user uses next time, turn 8；

7 by data deletion, and when user uses next time, from local, cloud migrates again；

8 terminate.

The present invention, by mating medical image, is had the Medical imaging of multidimensional mark, adopts by foundation Obtain the flag information of plurality of medical image with various ways and be stored in Medical imaging；By the medical science about multiple patients Data are divided into patient characteristics data and treatment data, and by normalization, this feature data and treatment data are converted into square respectively Battle array, by the medical image being associated with patient and medical record data, and with described medical image and medical record data phase The identification data of association, store within the storage system as medical files；Use various ways to extract image to be matched simultaneously Characteristic attribute, uses various ways and the medical image number with multidimensional mark finally by the characteristic attribute extracted Mate according to the image case in storehouse, both facilitated ordinary person to inquire about required medical science relevant information, facilitated again medical science special Industry personnel inquire about the needs of relevant medical information targetedly.

The above is only to presently preferred embodiments of the present invention, and the present invention not makees any pro forma restriction, Every technical spirit according to the present invention, to any simple modification made for any of the above embodiments, equivalent variations and modification, belongs to In the range of technical solution of the present invention.

Claims (4)

1. a medical test method for monitoring and controlling based on mobile terminal, it is characterised in that the medical science of be set forth in mobile terminal Inspection method for monitoring and controlling includes:

Step one, gather medical image source images, read in two dimensional source image sequence, build 3D data volume as input data, And therefrom choose corresponding three-dimensional data tissue points；From sequence of source images, choose a conduct reference image, and be selected to picture The area-of-interest of object carries out medical imaging enhancement as enhancing part, method particularly includes:

According to expression formula:

$\mathrm{\λ}\left(\stackrel{\→}{r}\right)=\frac{\underset{i=1}{\overset{N}{\Σ}}{S}_i\left(\stackrel{\→}{r}\right)\·S_{ref,i}\left(\stackrel{\→}{r}\right)}{\underset{i=1}{\overset{N}{\Σ}}{S}_{ref,i}^2\left(\stackrel{\→}{r}\right)};$

Calculate the weighted value of each pixel in described primitive medicine image sequence, whereinRepresent the location of pixels of area-of-interest, I represents i-th image in described primitive medicine image sequence, and N represents the sum of image, S in described primitive medicine image sequence_i The pixel value of the area-of-interest represented in described primitive medicine image sequence in i-th image, S_ref, i represents described with reference to shadow The pixel value of picture；

Step 2, two dimensional source image is carried out section segmentation, image is distributed to server and carries out data process, and with three Dimension data tissue points carries out one_to_one corresponding；

Step 3, take the good three-dimensional data tissue points of one_to_one corresponding and close on the feature of eight direction points definition tissue points, and build The Clifford characteristic vector that tissue points is corresponding；

Step 4, character by the seed points product corresponding with tissue points Clifford characteristic vector, it is judged that whether tissue points For puncta vasculosa, it is achieved valid data separation from overall data, it is judged that the tissue points for puncta vasculosa is written out to be exported three Dimension data body, directly provides data for three dimensional display；

Step 5, described 3D data volume is utilized to set up the Medical imaging of multidimensional mark, from medical image to be matched Extract the characteristic attribute of this medical image, by medical image to be matched with Medical imaging existing image search Rope mates；

Step 6, the medical data about multiple patients is divided into patient characteristics data and treatment data, and by this feature data It is converted into matrix by normalization respectively with treatment data；Medical data is divided into patient characteristics data and treatment data；By disease People's characteristic discretization, quantize；By discretization and the patient characteristics data normalization according to the following formula after quantizing, thus To patient characteristics matrix x；

$x_i=\frac{x_i-x_{min}}{x_{\max }-x_{\min }}-1;$

Wherein, x_iRepresent the characteristic of i-th patient, x_maxRepresent the maximum of patient characteristics data, x_minRepresent patient characteristics The minima of data；By treatment Data Discretization, quantize；

Step 7, by the medical image being associated with patient and medical record data, and with described medical image and disease Count one by one according to the identification data being associated, store within the storage system as medical files；By revision program to described medical science figure As data and medical record data are filtered, data screening, split, classify and/or standardization is to generate amendment file, or by solving Parser is sorted out and/or standardize described medical image and medical record data are to generate amendment file；

Step 8, determine priority according to patient medical record data, send relevant process message according to priority to mobile terminal；

Step 9, mobile terminal receive user select check given patient specify check item medical data first instruct Time, the second instruction of medical image described in acquisition request is sent to server；

Step 10, mobile terminal are after obtaining and showing initial medical data, according to user's image viewing on mobile terminals Operation, sends request of data to server so that server based on data request calculates image data, and by described image data And finally medical data is sent to mobile terminal.

2. medical test method for monitoring and controlling based on mobile terminal as claimed in claim 1, it is characterised in that described based on shifting The medical test monitoring control system of the medical test method for monitoring and controlling of dynamic terminal includes: medical imaging device, mobile terminal, Monitor and detection device, data collecting system, data analysis and processing system, data control system, alarm device, printing equipment；

One end of mobile terminal is connected with printing equipment, and the other end of mobile terminal sets with medical image and is connected, and medical image is standby Being connected with monitor and detection device by transmission line, the outfan of monitor and detection device is connected with the input of data collecting system, The outfan of data collecting system is connected with the input of processing system with data analysis；Data analysis and the output of processing system End is connected with the input of data control system, and data control system is connected with alarm device again；

Described medical imaging device is: medical x-ray machine, digital image apparatus, x-ray computer tomography equipment, magnetic resonance become As the one therein in equipment, supersonic imaging apparatus, nuclear medical imaging device.

3. medical test method for monitoring and controlling based on mobile terminal as claimed in claim 1, it is characterised in that described mobile whole End is provided with image procossing and rebuilds module, and described image procossing is rebuild the image processing method of module and included:

The first step, uses cone-beam filter back-projection algorithm to obtain initial pictures u₀: use filtering anti-M width projection to be reconstructed for XCT Projection algorithm is rebuild, and the Cone beam projection data of arc track scanning is carried out half accurate reconstruction；Arc track is short scanning track, I.e. π adds fan angle scanning track；Also it is supershort scan track, i.e. includes less than the track of short scanning: the local derviation of weight data for projection Number；One-dimensional Hilbert transform along level Yu non-horizontal directions；The back projection of arc track；Image u after rebuilding₀As just Beginning image；

Second step, making k=0, k is iterations (k=0,1,2 ... K-1), by u₀As iteration initial pictures u⁽⁰⁾, use algebraically Iterative method more new images:

$u_j^{(k+1)}=u_j^{\left(k\right)}+\mathrm{\λ}\frac{(p_i-{\mathrm{\Σ}}_{n=1}^N{u}_n^{\left(k\right)}\·m_{in})}{{\mathrm{\Σ}}_{n=1}^N{m}_{in}^2}{m}_{ij};$

Wherein, k is iterations (k=0,1,2 ... K),The image updated after being+1 iteration of kth,Before updating Image, j representative image footmark, p_iFor the projection value of i-th detector cells, m_inIn representative image, nth pixel value is to detection The contribution of device unit i, λ is relaxation factor, between span 0～2；

3rd step, carries out nonnegative value constraint: values being less than 0 all in upper step are entered as zero, if i.e. to the image obtainedThen make

4th step, according to gradient descent method to u^(k+1)Seek the image after image minimum total variation:

$u^{(k+1,l+1)}=u^{(k+1,l)}-a\left|\right|u^{(k+1,0)}-u^{\left(k\right)}\left|\right|*d{\hat{u}}^{(k+1,l)};$

Wherein l is the iterations (l=0,1 ... L-1) of gradient descent method, and a is step factor；

5th step, makes k=k+1, u^(k)=u^(k,L+1), repeat to walk second step the-the four step, until meeting iterations requirement.

4. medical test method for monitoring and controlling based on mobile terminal as claimed in claim 1, it is characterised in that described server It is provided with distributed cloud computing Data Migration module, the distributed cloud computing data of described distributed cloud computing Data Migration module Data Migrating Strategy can be divided into three kinds according to the difference of network state by moving method；

In the case of network state is good, employing data migration method based on network transmission:

(1) user logs in edge cloud when using cloud computing service, and the data message required for this service is formed compression number by system It is sent to core cloud according to request message；What the quick indexing of data compressing method was calculated is relative offset, according to A constant characteristic for LZ77 target strings is mated, and after current matching failure, directly has access to the position that the next one can mate, Without doing unnecessary logical judgment and computing；Before LZ77 is carried out, building an overall quick indexing table, the LZ77 being is doing The frequency of sliding window coupling becomes original 1/2^k, and the complexity constructed to be only Θ (m), m be compressed file Size；Using new compression of parameters index F (x)=Speed (x)/Ratio (x), x is input file；With data as core, By authentication and Public Key Infrastructure, the Producer of explicit data, the owner and user, by authentication center Management private key, by data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data and to application Service is provided；By encrypting explicit data Producer, by adding with the PKI of data owner with the private key of data producer Close come the explicit data owner, and realize the born encryption of data；Use by data again after deciphering with the private key of data owner The public key encryption of person or licensee realizes data grant and uses, and licensing process carries out record by watermark and data registration center And management；Data resource is carried out adaptive management, it is ensured that the uniqueness of data and concordance, supervise and dispose the various of data Deviant Behavior；By data owner and license process record and get off in the way of watermark, add together with initial data Close management；Various application are provided and support, determine the environment of data safety applications, by many by the associated application access to data The means of kind realize the safety guarantee of internal storage data and are not broken into stealing；

(2), after core cloud receives data request information, search the local cloud of this user, and this data request information is sent to The local cloud of this user；

(3), after this user local cloud receives message, transmit data to, according to the information of data request information, the limit that user logs in Edge cloud, information includes sending address, data name；

(4) after user's service makes to be finished these data, by data deletion, again migrate from the cloud of local when using these data next time；

In the case of network state difference, use based on the data migration method prestored:

1) user logs in edge cloud and uses cloud service, whether has the data required for this service, by number in system detection edge cloud According to compression, turn 5 if having)；What the quick indexing of data compressing method was calculated is relative offset, according to LZ77 target A constant characteristic for string is mated, and after current matching failure, directly has access to the position that the next one can mate, it is not necessary to do many Remaining logical judgment and computing；Before LZ77 is carried out, building an overall quick indexing table, the LZ77 being is doing sliding window The frequency of coupling becomes original 1/2^k, and the complexity constructed to be only Θ (m), m be the size of compressed file； Using new compression of parameters index F (x)=Speed (x)/Ratio (x), x is input file；With data as core, recognized by identity Card and Public Key Infrastructure, the Producer of explicit data, the owner and user, by authentication centre management private key, By data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data and provide service to application； By encrypting explicit data Producer, by clearly counting with the public key encryption of data owner with the private key of data producer According to the owner, and realize the born encryption of data；Again with data consumer or authorized after deciphering with the private key of data owner The public key encryption of people realizes data grant and uses, and licensing process is recorded by watermark and data registration center and managed；Right Data resource carries out adaptive management, it is ensured that the uniqueness of data and concordance, supervises and dispose the various Deviant Behavioies of data； By data owner and license process record and get off in the way of watermark, it is encrypted management together with initial data；Close Various application are provided and support, determine the environment of data safety applications, realized by multiple means by the connection application access to data The safety guarantee of internal storage data and be not broken into stealing；

2) data required for this service are formed data request information and are sent to core cloud by edge cloud system；

3), after core cloud receives data request information, search the local cloud of this user, and this data request information is sent to The local cloud of this user；

4), after this user local cloud receives message, transmit data to, according to the information of data request information, the edge that user logs in Cloud, information includes sending address, data name；

5) after user's service makes to be finished these data, this edge cloud is stored data in, in order to user uses next time；

When network state is continually changing with extraneous factor, use data migration method based on network state:

1 user logs in edge cloud and uses cloud service, whether has the data required for this service, data in system detection edge cloud Compression, turns 5 if having；What the quick indexing of data compressing method was calculated is relative offset, according to LZ77 target strings A constant characteristic mate, current matching failure after, directly have access to the position that the next one can mate, it is not necessary to it is unnecessary to do Logical judgment and computing；Before LZ77 is carried out, building an overall quick indexing table, the LZ77 being is doing sliding window The frequency joined becomes original 1/2^k, and the complexity constructed to be only Θ (m), m be the size of compressed file；Make It is input file with new compression of parameters index F (x)=Speed (x)/Ratio (x), x；With data as core, pass through authentication And Public Key Infrastructure, the Producer of explicit data, the owner and user, by authentication centre management private key, by Data register centre management PKI；Indexed by foundation and search engine, it is achieved the management of data and provide service to application；Logical Cross and encrypt explicit data Producer, by carrying out explicit data with the public key encryption of data owner with the private key of data producer The owner, and realize the born encryption of data；Again with data consumer or licensee after deciphering with the private key of data owner Public key encryption realize data grant use, licensing process is recorded by watermark and data registration center and is managed；Logarithm Carry out adaptive management according to resource, it is ensured that the uniqueness of data and concordance, supervise and dispose the various Deviant Behavioies of data；With The mode of watermark is by data owner and licenses process record and gets off, and is encrypted management together with initial data；Association Various application are provided and support, determine the environment of data safety applications, in being realized by multiple means by the application access to data The safety guarantee of deposit data and be not broken into stealing；

Formation data request information required for this service is sent to core cloud by 2 edge cloud systems；

After 3 core clouds receive data request information, search the local cloud of this user, and this data request information is sent to The local cloud of this user；

After 4 these user local clouds receive message, transmit data to, according to the information of data request information, the edge that user logs in Cloud, information includes sending address, data name；

After 5 user's services make to be finished these data, system judges current network delay, if postponing big, turning 6, otherwise turning 7；

6 store data in this edge cloud, in order to user uses next time, turn 8；

7 by data deletion, and when user uses next time, from local, cloud migrates again；

8 terminate.