CN104881568A - Cloud computation based early oncotherapy efficacy evaluation system and method - Google Patents
Cloud computation based early oncotherapy efficacy evaluation system and method Download PDFInfo
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- CN104881568A CN104881568A CN201510202722.XA CN201510202722A CN104881568A CN 104881568 A CN104881568 A CN 104881568A CN 201510202722 A CN201510202722 A CN 201510202722A CN 104881568 A CN104881568 A CN 104881568A
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Abstract
The invention discloses a cloud computation based early oncotherapy efficacy evaluation system and method. The system comprises a multimodal imaging acquisition device in the oncotherapy process, a voxel-based multimodal image registration and fusion cloud computation device, a voxel-based early evaluation cloud computation device for efficacies in the oncotherapy process, and a posttreatment cloud computation evaluation device. The system and method provides more accurate, reliable and real-time information abundant in information amount to doctors, and accurate bases are provided for establishing patient-orientated personalized treatment programs. By establishment of a molecular image guided early oncotherapy efficacy evaluation cloud system with high-speed processing capacity, a posttreatment historical data reference platform is provided for medical staff, and a platform used for providing bases to timely adjustment, fast tracking or implementation of treatment schemes on the basis of real-time data in the current treatment course can be provided.
Description
Technical field
The invention belongs to field of medical technology, concrete is that a kind of multi-mode molecular imaging based on cloud computing is to the system and method for oncotherapy curative effect EARLY STAGE EVALUATION, and relate to field of cloud computer technology and image processing field, utilize the multi-mode molecular image of cloud computing platform to the magnanimity in tumor therapeutic procedure to realize fast parallel process, promote response speed and the handling capacity of image registration analyzing and processing.
Background technology
Tumour is serious threat human life, healthy disease, how to take the most effective therapeutic scheme, and according to patient, therapeutic strategy is adjusted in time, fast to the reaction condition for the treatment of over the course for the treatment of, thus obtain best result for the treatment of and become one of key issue in clinical therapy of tumor.The common method of current evaluation oncotherapy curative effect is carried out CT or MRI scanning to patient, and then is evaluated the size of tumour after being a course for the treatment of of treatment patient.But in actual tumor therapeutic procedure, even if the center of tumour necroses, but the volume of tumour may have the performance of increase in traditional CT or MRI evaluation.This is because neoplasm necrosis cell temporarily can fill original gross tumor volume, cause the increase of gross tumor volume.And, research show simple gross tumor volume or diameter reduce not exist to the life cycle of patient absolute relevant.Therefore, simple evaluation curative effect with gross tumor volume brings uncertainty to the formulation of follow-up therapeutic scheme, or even misleads, and successive treatment exists very large difficulty.
What is more important, often occurs after the completed treatment the evaluation of oncotherapy curative effect at present, and doctor only could judge or know the effect for the treatment of after having carried out treatment, and therefore traditional treatment therapeutic evaluation exists comparatively serious hysteresis quality.For therapeutic scheme that is invalid, that have little effect, waste medical resource on the one hand, patient receives the spinoff that treatment produces over the course for the treatment of on the other hand, such as impaired organ, drug poisoning, tissue loss, poor appetite etc., an even more important aspect is: therefore patient can miss the prime time for the treatment of.
For the application of image processing techniques in oncotherapy therapeutic evaluation, current research is mainly concentrated PET(positron Positron Emission Tomography), diffusion-weighted MRI (diffusion weighted MRI) and perfusion weighted mri (perfusion weighted MRI) equimolecular and functional imaging technology registration and fusion, raising molecule and the application of functional imaging in the evaluation of oncotherapy curative effect.As PET imaging uses radioactive isotope to evaluate the anabolic change of tumor by local in the change of the standard uptake value of tumor region, to assess the curative effect for the treatment of; Diffusion-weighted MRI assesses the curative effect for the treatment of by the dynamic (dynamical) change of hydrone of tumor region before and after treatment; Perfusion weighted mri by tracer agent show Tumor Angiongesis and hemodynamics before the treatment after change assess curative effect.Different molecules and functional image are carried out registration, fusion, effectively reflects molecule and the function information of the multi-C complementary of tumor region, the reaction information of tumor region to treatment can be obtained all sidedly.
Various imaging technique has its specific advantages and limitation.Such as, adopt CT good behaviour when the details imaging of bone and dissection, MR has advantage on soft tissue and functional imaging, and PET is mainly used in the change of image tumors cell and molecular level.In order to utilize the different advantages of these medical means, CT, MRI in therapeutic process and before treatment and PET image can be carried out registration, by in these different time points (before treatment, in treatment, treatment after) various modes image in anatomical location pass through registration transformation, make its one_to_one corresponding, thus be conducive to observing treatment change that is front and tumor region in treating.Doctor makes the judgement of oncotherapy curative effect according to this change.
Current multi-mode molecular imaging is all confined to the overall evaluation to tumor region to oncotherapy therapeutic evaluation technology, method generally lacks the accurate description of the idiosyncrasy to treatment of the subregion to tumor region inside, substantially the average response of whole tumor region to treatment is only evaluated, but there is fatal weakness to the overall evaluation of tumor region in this only dependence, its drawback be exactly have ignored tumor region inside subregion to the nonuniformity of the reaction for the treatment of, in the inside of tumor region, some subregion is to treatment possibility complete incidence graph or partial rcsponse, some subregion may be stablize unchanged or even continue progress for treatment.Tumor region is inner makes the therapeutic scheme formulated according to the overall evaluation of tumor region there is uncertainty to the inconsistency of therapeutic response, directly affects the levels of precision of cancer immunotherapies, the heterogeneity of the individual patient in therapeutic process is left in the basket, the experience of doctor and Space Idea and supposition can only be relied on to go synthetic determination intralesional to the differential responses for the treatment of, cause quantitatively evaluating difficulty, its security and accuracy can be subject to subjective impact, severe patient causes Endodontic failure, misses the gold period of tumour patient treatment.The objective therapeutic evaluation of oncotherapy fast accurate method how is found to be urgent problem.
Current most medical figure registration work is linked to medical imaging storage (PACS) server by PC workstation and has come.Existing magic magiscan, because what image procossing and display adopted is the image registration function that Image-forming instrument carries, it is hardware-accelerated restricted that image registration operates, different Image-forming instrument (CT, MRI, PET) interface between is comparatively loaded down with trivial details, lacks dirigibility, and is unfavorable for later stage expansion self-defining operation.And conventional image data amount is comparatively large, and therefore PC workstation is in and operates with full load, the rate reduction of registration, affects the work efficiency of doctor.
In addition, curative effect scheme is treated with treatment Middle molecule imaging compound detection before oncotherapy therapeutic evaluation system of the prior art lacks a set of combined treatment, thus the real-time imaging information of accurately reliable, informative can not be provided for doctor, the quality of oncotherapy cannot promote further.In addition, each model molecule imaging device of the prior art is not open platform, software systems and interface can only use standard to operate according to each producer instrument, can not upgrade, and substantially do not possess molecular imaging compound detection treatment efficacy analysis evaluation function, therefore be necessary to set up the oncotherapy curative effect earlier evaluations system that has the molecular image guiding of high speed processing ability, not only one can be provided to treat rear historical data with reference to platform for medical personnel, one can also be provided based on the real time data in Current therapeutic process, for adjusting in time for therapeutic scheme, quick tracking or enforcement provide the platform of foundation.
Summary of the invention
The present invention is intended to solve above-mentioned problems of the prior art, proposes a kind of multi-mode molecular imaging based on cloud computing to the system and method for oncotherapy curative effect EARLY STAGE EVALUATION.The present invention relates to Image registration fusion and the relevant information process framework thereof of cloud computing, this equipment and corresponding software framework are by the acquisition and processing of multi-mode molecular image in tumor therapeutic procedure separately.On various medical imaging instruments, in Case treatment process, signals collecting and result display are carried out to multi-mode image (being not limited only to CT, MRI, PET).Needing image registration, melt, the part of computational analysis transfers to large-scale based on the server of cloud computing, completes the image place of robotization, analysis and diagnosis on the server.Meanwhile, user can browse on multiple platforms, obtain the passing imaging results be stored on cloud computing server.This kind of design has that degree of integration is high, travelling speed fast, dependable performance, facilitate the advantages such as easy-to-use.
The system of multi-mode molecular imaging to oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing comprises: the cloud computing device of the registration based on voxel of multi-modal imaging acquisition device (computed tomography Computed Tomography:CT, magnetic resonance imaging Magnetic Resonance Imaging:MRI, and positron Positron Emission Tomography:PET), multi-mode image and fusion in tumor therapeutic procedure, based on the earlier evaluations cloud computing device of curative effect in the tumor therapeutic procedure of voxel, the cloud computing device for the treatment of later evaluation.
In therapeutic process, multi-modal imaging acquisition device is for 3-dimensional image before obtaining treatment, after treatment neutralization treatment.3-dimensional image after the treatment of same patient neutralization treatment and before treating is delivered on the cloud computing server with this linking of devices with fusion cloud computing device by the registration of multi-mode image.Cloud computing server carries out the registration based on voxel and fusion respectively, and obtain registration image, result is passed back this equipment, result is shown to user by this device again.
Be responsible for accepting the registration of multi-mode image based on the earlier evaluations cloud computing device of the curative effect of voxel in tumor therapeutic procedure and merge the good multi-mode molecular image of registration that cloud computing device sends, according to calculated amount distributes calculation resources, carry out information processing, complete the earlier evaluations of curative effect, pass result back user terminal.
The method step of multi-mode molecular imaging to oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing comprises: before treatment, after treatment neutralization treatment, CT/PET/MRI 3-dimensional image obtains and based on the registration of the tissue points of each time period of the same patient of cloud computing, fusion and therapeutic evaluation.Cloud computing server runs corresponding software, by the image data based on voxel before the treatment after registration and in treatment is assessed, by whole tumor region according to each voxel to treatment multifarious reaction be divided into completely or partially alleviate, reactionless, and continue progress (namely to treatment impedance) three regions, then quick and that adjustment the is personalized in real time cancer immunotherapies according to three regions, following the tracks of for saving medical money, within the prime time for the treatment of or implement modality of cancer treatment provides early stage and effective foundation.
At present also not based on the system and method for the oncotherapy curative effect EARLY STAGE EVALUATION of cloud computing, substantially at present common method is that the acquisition and processing of image all completes at the image workstation of this locality, and native system by the acquisition and processing of image information separately, on the server needing the part of computational analysis to transfer to based on cloud computing; The equipment being positioned at user side only carries out image collection, pre-service, transmission, reception and display analysis result; The software being positioned at cloud computing server carries out the image registration of robotization, segmentation and fusion and data analysis after treating efficacy analysis and treatment; Analysis result is stored on cloud computing server, and user can be allowed to get analysis result by the platform of various networking.
Further, the interface of the opening that the server end of cloud computing provides, Task Assigned Policy, specific algorithm process function, map function and reduce function that host node can be formulated according to user terminal upload to cloud computing platform.Make like this easiness of the maintenance of operational dirigibility and new algorithm improves greatly, image processing algorithm newly developed can be directly uploaded to high in the clouds platform and process.And each model molecule imaging device of the prior art is not open platform, software systems and interface can only use standard to operate according to each producer instrument, can not upgrade, and substantially not possess molecular imaging compound detection treatment efficacy analysis evaluation function.
The beneficial effect of measuring system of the present invention is:
The 3-dimensional images such as the PET/MRI/CT before the system and method for multi-mode molecular imaging to oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing that the present invention proposes has merged treatment and in treatment, and be categorized into three sub regions according to the differential responses of each voxel in tumor region.Over the course for the treatment of, subregion for difference classification adjusts different treatment intensity in time, current therapeutic scheme can be continued in complete and partial rcsponse region, then will strengthen the dosage for the treatment of for reactionless and treatment impedance (tumour continues progress) region or add the means of other multiple treatments.Such system and method provides more accurately reliably to doctor, the molecular image real-time information based on voxel of informative, accurate foundation is provided with the people-first personalized therapy program of disease for setting up, therapeutic scheme just can be adjusted in time in the process for the treatment of, instead of at present conventional treatment complete after reevaluate overall tumor region, and then adjusting therapeutic scheme, the latter's method often misses the best opportunity of Therapeutic cancer; Cloud computing apparatus for evaluating after the present invention simultaneously is also provided for storage and analyzes the treatment of oncotherapy data, this apparatus for evaluating can carry out machine learning according to the oncotherapy data of personalization, set up outcome prediction model, thus implement to provide foundation for the treatment of the diagnosis of similar cancer, tracking or multidisciplinary personalization.By setting up the oncotherapy curative effect earlier evaluations cloud system that a molecular image with high speed processing ability guides, not only one can be provided to treat rear historical data with reference to platform for medical personnel, one can also being provided based on the real time data in Current therapeutic process, for adjusting in time for therapeutic scheme, following the tracks of or implementing to provide the platform of foundation fast.In addition, this invention provides active platform for the shared of large data.
Above-mentioned explanation is only the general introduction of technical solution of the present invention, in order to better understand technological means of the present invention, and can be implemented according to the content of instructions, coordinates accompanying drawing to be described in detail as follows below with preferred embodiment of the present invention.The specific embodiment of the present invention is provided in detail by following examples and accompanying drawing thereof.Many places of the present invention are only described the part making improvement, and other undeclared parts can realize by the state of the art, that is undeclared part is by existing techniques in realizing, is not described in detail at this.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide a further understanding of the present invention, and form a application's part, schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the system construction drawing of the system to oncotherapy curative effect EARLY STAGE EVALUATION of the present invention.
The corresponding relation of the numbering in accompanying drawing and step or parts is as follows:
1: multi-modality image in Preservation therapy process; 2: start multi-modality image registration and merge; 3,8,13 inquiries are for the image information of process; 4: start Map and registration task is given different slave process; 5: return the result after registration; 6,11,14 the result after process is returned; 7: start multi-modality image registration and merge; 9: start Map and evaluation tasks is given different slave process; 10: return the result after registration; 12: start treatment later evaluation: 16: treat front patient A; 17: patient A in treatment; 18: patient A after treatment; 19: multi-modal imaging acquisition device (CT/PET/MRI scanning); 20: multi-modal imaging acquisition device (CT/PET/MRI scanning); 21: multi-modal imaging acquisition device (CT/PET/MRI scanning); 22: CT/PET/MRI 3-D view before treatment; 23: CT/PET/MRI 3-D view in treatment; 24: CT/PET/MRI 3-D view in treatment; 25: user side; 26:HDFS distributed file system; 27: host node; 28: high in the clouds; 29: image processing and analyzing; 30: a high in the clouds node group of planes; 31: information integerated; In the large rectangle frame of right side, top rectangle frame represents: based on the registration of voxel and the cloud computing software architecture of fusion; Intermediate rectangular frame table shows: based on the cloud computing software architecture of the earlier evaluations of curative effect in the tumor therapeutic procedure of voxel; Below rectangle frame represents: the cloud computing software architecture for the treatment of later evaluation assessment.
Embodiment
Below in conjunction with drawings and Examples, technology implementation process of the present invention is described further.
Embodiment 1:
The present embodiment describes based on the multi-mode molecular imaging of cloud computing the system of oncotherapy curative effect EARLY STAGE EVALUATION.
The invention provides a kind of multi-mode molecular imaging based on cloud computing to the system of oncotherapy curative effect EARLY STAGE EVALUATION, in tumor therapeutic procedure for doctor provide in real time, accurate tumor area image as a reference, whole tumor region is divided into according to the reaction for the treatment of and alleviates region wholly or in part, reactionless region and treatment resistance region, thus guide doctor to adjust therapeutic scheme quickly according to the subregion information of this personalization.By the image data based on voxel before the treatment after registration and in treatment is assessed, by whole for cancer immunotherapies fast and adjustment in real time, follow the tracks of or implement to provide early stage and effective foundation.
By reference to the accompanying drawings 1, it is that the multi-mode molecular imaging based on cloud computing of the present invention is to the system construction drawing of the system of oncotherapy curative effect EARLY STAGE EVALUATION.As shown in Figure 1, the system of multi-mode molecular imaging to oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing comprises: the registration based on voxel of multi-modal imaging acquisition device (being not limited to CT, MRI and PET), multi-mode image and cloud computing device, the earlier evaluations cloud computing device based on curative effect in the tumor therapeutic procedure of voxel, the treatment later evaluation cloud computing device of fusion in tumor therapeutic procedure.
This system has following features:
(1) this system by the acquisition and processing of multi-mode molecular image information separately, on the server needing the part of computational analysis to transfer to based on cloud computing;
(2) equipment being positioned at user side only carries out image collection, pre-service, transmission, reception and display analysis result;
(3) software being positioned at cloud computing server carries out the image registration of robotization, segmentation and fusion and data analysis after treating efficacy analysis and treatment;
(4) analysis result is stored on cloud computing server, and user can be allowed to get analysis result by the platform of various networking.
The equipment of user terminal comprises multi-modal imaging acquisition device (being not limited to CT, MRI and PET) in tumor therapeutic procedure, it is characterized in that: this kind of equipment can gather the multi-modality image of reaction tumour different attribute information simultaneously, collectable data type comprises direct digitized medical image, and the information that easily extensible is the genome and Leaf proteins that can gather patient is for providing the information with medical image complementation.Pretreated data message, according to the programmable interface design and running of cloud computing platform software on it, is sent on cloud computing server by the equipment of user terminal.
The registration based on voxel of multi-mode image and the cloud computing device of fusion, is characterized in that, according to the information that the equipment of user side is sent, the different image registration of Automatically invoked is merged program and carried out information processing; Contents processing comprise by treatment in three dimensional CT sagittal plane carry out cutting, be divided into and input square section one by one, then each CT in three-dimensional CT image before the treatment of correspondence and treatment is inputted square section and be mapped to different cloud computing nodes respectively as one group, cloud computing node is according to input data, to treat front three-dimensional CT image as image subject to registration, the CT square section in treatment is the two-dimensional/three-dimensional image registration that floating image carries out based on pixel.Except CT image carries out except registration before treatment neutralization treatment, other mode images are all that this mode image merges with the registration of the CT image of this corresponding time point.
Based on the earlier evaluations cloud computing device of curative effect in the tumor therapeutic procedure of voxel, it is characterized in that: the pixel value of each pixel of each mode image before treatment and in treatment is carried out linear least-squares regretional analysis, the fiducial interval of 95% defines two threshold values by the result of linear least-squares regretional analysis, the voxel of the multi-mode image in treatment is divided into three classes, namely class is alleviated completely or locally, reactionless class and treatment impedance class.Three class tumour subregions are supplied to doctor after being analyzed by cloud computing platform and adjust Current treatment protocols.
Treatment later evaluation cloud computing device, it is characterized in that: treatment later evaluation cloud computing device memory store after treatment neutralization treatment with the front multi-modality image phase registration image for the treatment of and fusion evaluation, data processor sets up the forecast model of this oncotherapy curative effect by the MapReduce programming model machine learning of the Hadoop in high in the clouds, and the treatment for follow-up similar tumour is implemented to provide foundation.This device is by setting up based on probability statistical analysis model, the image of tumor therapeutic procedure on the image data of check of the different time points after treatment and cloud platform is analyzed, for doctor follows the tracks of assessment to situation after Case treatment comprehensively, simultaneously also for providing reference data and teaching resource for the EARLY STAGE EVALUATION of multi-mode molecular image to oncotherapy curative effect clinically.
The present invention propose combine treatment based on the EARLY STAGE EVALUATION system of multi-mode molecular image to oncotherapy curative effect before, the respective advantage of the PET/MRI/CT 3-dimensional image after treatment neutralization treatment, and merged and obtain fusion evaluation, for doctor provides more accurately real-time imaging information that is reliable, informative to provide reference for the enforcement adjusting cancer immunotherapies in real time, can realize: before the treatment, multi-mode molecular image before combined treatment determines most active tumour subregion, guarantees to realize best therapeutic scheme; In the process for the treatment of, by the CT image in treatment prior to the CT image registration before treatment, then at each time point, other respective model molecule images carry out registration with the CT image prepared again, thus over the course for the treatment of in real time positioning tumor subregion to the nonconforming reaction for the treatment of; Complete with registration in treatment before the treatment, each tissue points is according to the difference of therapeutic response characteristic, be divided into three sub regions, namely completely or partially district is relaxed, reactionless district and treatment impedance area, according to the different qualities of three sub regions, take the targeted treatment schemes for different subregion, finally realize the specific therapy process of the personalization of tumour.
In addition, the present invention is also provided for storing and analyze the treatment later evaluation device of data after treatment, and this apparatus for evaluating can carry out machine learning according to therapeutic process data, thus implements to provide foundation for the treatment of follow-up similar tumour, tracking or therapeutic evaluation.
Embodiment 2:
The present embodiment describes a kind of method of the oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing, and the method can use the system in embodiment 1, but is not limited to the system used in embodiment 1.
The key step of said method is as follows:
(1) in tumor therapeutic procedure, multi-mode molecular imaging acquisition device scans patient tumor area before being used for the treatment of, thus obtains the three-dimensional molecular image of patient tumor area.Wherein, before treatment, video capturing device includes but not limited to PET/CT, the medical scanning imaging devices such as PET/MRI.
The 3-dimensional image of above-mentioned acquisition also can be used for plan radiation therapy plan, such as, the highest region of tumor promotion is drawn by hook is merged in the PET/CT/MRI image registration before treatment, except outputing general dose prescription for whole tumor region, for all right booster of the subregion that tumor promotion is the highest, in order to kill tumour cell to greatest extent, avoid high radiological dose to injure peritumoral tissues organ simultaneously.
(2) the 3rd week after patient starts oncotherapy, multi-mode molecular imaging acquisition device obtained the three-dimensional molecular image of patient tumor area in treatment for scanning patient tumor area again.
(3) the multi-mode molecular image of acquisition before treatment and in treatment is stored in data storage server by multi-mode molecular imaging acquisition device, passes to the cloud computing device of registration based on voxel and fusion.Comprise two-part software architecture based on the registration of voxel and the cloud computing device framework of fusion, a part on the equipment of user terminal, on another part cloud computing server.
(4) original image data before the treatment that the registration based on voxel of user terminal and the cloud computing software architecture of fusion use the related algorithm of Digital Image Processing to obtain scanning and in treatment carries out pre-service.User terminal by pretreated multi-mode molecular image signal transmission to on the cloud computing server of this linking of devices.
(5) on cloud computing server, based on the cloud computing software architecture of the registration of voxel and fusion, based on voxel registration and fusion are carried out to the signal of video signal in treatment and before treatment, after having processed, result is passed back user terminal and the earlier evaluations cloud computing device based on curative effect in the tumor therapeutic procedure of voxel, registration result is shown to user by user terminal.
Based on the equipment that the registration of voxel and the cloud calculation server of fusion run and/or software, be responsible for accepting the image information that subscriber terminal equipment is sent, according to calculated amount distributes calculation resources, carry out information processing.Contents processing comprises: the image information of reception, carries out conversion coupling, then carry out registration fusion to the multi-modality image before treatment and in treatment to the voxel between different mode image.Particularly, can according to the physical features attribute of multiparameter inherent between the imaging data of two kinds of different modes, derive the transforming relationship between bimodal data, and then the image of a certain pattern and CT image (usually using CT image as reference image) are carried out registration, obtain the registration image of this pattern.Complete the voxel one_to_one corresponding of the multi-mode image in the treatment after registration and the multi-mode image before treatment.
(6) the multi-mode image before the complete rear treatment of registration and in treatment is browsed diagnosis except passing back user terminal for user, is also transferred to the earlier evaluations cloud computing device of curative effect in the tumor therapeutic procedure based on voxel.The voxel of the multi-mode image in treatment, mainly through the threshold value of the determination classification of the voxel in comparison therapy and before treatment, is divided into three classes by the software architecture of this device, namely alleviates class, reactionless class and treatment impedance class completely or locally.
Doctor according to the different qualities of three class tumour subregions, can carry out therapeutic scheme targetedly to tumor region.Due to the voxel information onrelevant between multi-mode image, voxel district non-coincidence in the image for the various patterns in treatment, belongs to high recurrence district.For this part region, doctor can take the treatment of more high dose.
(7), after whole treatment completes, treatment later evaluation device is the data inventory analysis platform based on cloud computing.Treatment later evaluation device comprises storer and data processor, storer store after treatment neutralization treatment with the front multi-modality image phase registration image for the treatment of and fusion evaluation, data processor sets up the forecast model of this oncotherapy curative effect by machine learning, and the treatment for follow-up similar tumour is implemented to provide foundation.Data processor carries out machine learning based on support vector machine principle or neural network theory.Treatment later evaluation device in the present invention is by a large amount of image data and oncotherapy parameter distribution in virtual cloud, and the highly effective and safe realizing image data stores and high speed dynamic read/write.
Adopt based on cloud platform data analysis statistical by set up based on probability statistical analysis model, the image of tumor therapeutic procedure on the image data of check of the different time points after treatment and cloud platform is analyzed, for doctor follows the tracks of assessment to situation after Case treatment comprehensively, simultaneously also for providing reference data and teaching resource for the EARLY STAGE EVALUATION of multi-mode molecular image to oncotherapy curative effect clinically.
Embodiment 3:
The present embodiment describes the application in the chemicotherapy curative effect EARLY STAGE EVALUATION of primary hepatoma of aforesaid system and/or method.
Primary hepatoma is the disease of serious threat human health.The treatment of hepatocellular carcinoma is therapeutic response and the quality of life of emphasis patient gradually by the change transitions paying close attention to local tumorous size, and multiple treatment means is also used (as radiation and chemotherapy combines).But how to take the most effective therapeutic strategy, obtain best result for the treatment of and place one's entire reliance upon objective and evaluate the curative effect of oncotherapy fast.If comparatively early find that current therapeutic scheme is invalid in primary hepatoma therapeutic process, doctor can change therapeutic scheme, has striven for the time for saving patient.Simultaneously, if doctor can obtain the reaction of nonidentity of whole primary hepatoma region to treatment, doctor can for the tumour subregion of these differential responses (such as, completely or partially alleviate region, reactionless region and treatment resistance region) take to treat targetedly, reach best result for the treatment of.Then, a huge market vacancy is still at present regrettably in this respect.The present invention will adopt state-of-the-art image registration, machine learning scheduling algorithm and cloud computing parallel processing technique, for the chemicotherapy curative effect EARLY STAGE EVALUATION of primary hepatoma carries out quantitative test.Detailed process is as follows:
(1) before patient starts chemicotherapy, multi-mode molecular imaging acquisition device (PET/CT) is for scanning patient tumor area, thus PET/CT three-dimensional molecular image before obtaining the treatment of patient tumor area.
(2) the 3rd week after patient starts tumor chemoradiotherapy treatment, multi-mode molecular imaging acquisition device (PET/CT) obtained the PET/CT three-dimensional molecular image of patient tumor area in treatment for scanning patient tumor area again.
(3) multi-mode molecular imaging acquisition device is by the PET/CT molecule of the acquisition before treatment and in treatment.Image store, in HDFS data storage server, passes to the cloud computing device of registration based on voxel and fusion.HDFS is a distributed file system, can realize large data reliability and store and the storage solution of high-throughput reading.Cloud computing device in the present invention is that the MapReduce distributed computing framework of Hadoop is based upon on the basis of HDFS distributed file system.
(4) comprise two-part software architecture based on the registration of voxel and the cloud computing device framework of fusion, a part on the equipment of user terminal, on another part cloud computing server.
(5) the initial p ET/CT image data before the treatment that the registration based on voxel of user terminal and the cloud computing software architecture of fusion use the related algorithm of Digital Image Processing to obtain scanning and in treating carries out pre-service (such as cutting away part irrelevant on image, the registration reference point only retaining tumor region and be correlated with).
(6) user terminal submits the requirement PET/CT image data before treatment under appointment HDFS catalogue and in treatment being carried out to registration fusion to host node.
(7) high in the clouds host node extracts pretreated PET/CT 3-dimensional image in HDFS file system, and host node Task Assigned Policy, specific algorithm process function, map function and the reduce function formulated according to user terminal carry out registration based on voxel and fusion with based on the registration of voxel and the cloud computing software architecture of fusion to the PET/CT 3-dimensional image in treatment and before treatment on cloud computing server.
(8) the three dimensional CT sagittal plane in treatment is carried out two-dimensional projection's process cutting in the MapReduce programming model of the Hadoop in high in the clouds, be divided into and input square section one by one, then each CT in three-dimensional CT image before the treatment of correspondence and treatment is inputted square section and extract two dimensional character collection as one group, be mapped to different Map nodes respectively, Map node is according to input data, to treat front three-dimensional CT image as image subject to registration, the CT square section in treatment is the two-dimensional/three-dimensional image registration that floating image carries out based on pixel.
(9) each Map task node is after processing the task that host node submits, and result is fed back to host node, after host node receives the feedback of all Map task nodes, result is mapped to different Reduce task nodes, carry out follow-up process.
(10) each CT in the treatment after the registration that exported by different Map node of the Reduce node in high in the clouds inputs square section to merging, and carries out post processing of image, finally obtains the three-dimensional CT image in the treatment after registration.Be saved in HDFS distributed file system.Reduce node also returns corresponding process state information to host node.
(11) three-dimensional CT image in the PET image adopted in treatment and the treatment after registration is carried out high in the clouds registration by the registration for PET image; Three-dimensional CT image in PET image in treatment before treatment and the treatment after registration carries out high in the clouds registration.7 to the 10 step of the similar flow process of processing procedure.
(12) the earlier evaluations cloud computing device based on curative effect in the tumor therapeutic procedure of voxel also comprises two-part software architecture, a part on the equipment of user terminal, on another part cloud computing server.
(13) user terminal is submitted specifying the requirement PET/CT image data before the treatment completing registration and in treatment being carried out under HDFS catalogue to the earlier evaluations of curative effect to host node.
(14) high in the clouds host node extracts the good PET/CT 3-dimensional image of registration in HDFS file system, host node Task Assigned Policy, specific algorithm process function, map function and the reduce function formulated according to user terminal on cloud computing server with the curative effect evaluation analysis that the earlier evaluations cloud computing software architecture based on curative effect in the tumor therapeutic procedure of voxel is carried out based on voxel to the PET/CT 3-dimensional image in treatment and before treatment.
(15) each pixel standard uptake value of the PET before the pixel value of each pixel of CT before treatment and in treatment or treatment and in treatment is carried out linear least-squares regretional analysis by the MapReduce programming model of the Hadoop in high in the clouds, the fiducial interval of 95% defines two threshold values by the result of linear least-squares regretional analysis, the voxel of the multi-mode image in treatment is divided into three classes, namely class is alleviated completely or locally, reactionless class and treatment impedance class.
(16) each Map task node is after processing the task that host node submits, result is fed back to host node, after host node receives the feedback of all Map task nodes, result is mapped to different Reduce task nodes, carry out follow-up process.
(17) the classify of image element information that different Map node exports is saved in HDFS distributed file system by the Reduce node in high in the clouds.Reduce node also returns corresponding process state information to host node.
(18) doctor at user terminal, can call the information of curative effect evaluation from HDFS distributed file system.According to the different qualities of three class tumour subregions, therapeutic scheme is targetedly carried out to tumor region.Due to the voxel information onrelevant between multi-mode image, voxel district non-coincidence in the image for the various patterns in treatment, belongs to high recurrence district.For this part region, doctor can take the treatment of more high dose.
(19), after whole treatment completes, treatment later evaluation device is the data inventory analysis platform based on cloud computing.Treatment later evaluation device comprises storer HDFS and data processor, storer store after treatment neutralization treatment with the front multi-modality image phase registration image for the treatment of and fusion evaluation, data processor sets up the forecast model of this oncotherapy curative effect by the MapReduce programming model machine learning of the Hadoop in high in the clouds, and the treatment for follow-up similar tumour is implemented to provide foundation.Treatment later evaluation device in the present invention is by a large amount of image data and oncotherapy parameter distribution in virtual cloud, and the highly effective and safe realizing image data stores and high speed dynamic read/write.
(20) adopt based on cloud platform data analysis statistical by set up based on probability statistical analysis model, the image of tumor therapeutic procedure on the image data of check of the different time points after treatment and cloud platform is analyzed, for doctor follows the tracks of assessment to situation after Case treatment comprehensively, simultaneously also for providing reference data and teaching resource for the EARLY STAGE EVALUATION of multi-mode molecular image to oncotherapy curative effect clinically.
Before the EARLY STAGE EVALUATION system of multi-mode molecular image to oncotherapy curative effect based on cloud computing that the present invention proposes combines treatment, the respective advantage of the PET/CT 3-dimensional image after treatment neutralization treatment, and merged and obtain fusion evaluation, for doctor provides more accurately real-time imaging information that is reliable, informative to provide reference for the enforcement adjusting cancer immunotherapies in real time, can realize: before the treatment, multi-mode molecular image before combined treatment determines most active tumour subregion, guarantees to realize best therapeutic scheme; In the process for the treatment of, by the CT image in treatment prior to the CT image registration before treatment, then at each time point, other respective model molecule images carry out registration with the CT image prepared again, thus over the course for the treatment of in real time positioning tumor subregion to the nonconforming reaction for the treatment of; Complete with registration in treatment before the treatment, each tissue points is according to the difference of therapeutic response characteristic, be divided into three sub regions, namely completely or partially district is relaxed, reactionless district and treatment impedance area, according to the different qualities of three sub regions, take the targeted treatment schemes for different subregion, finally realize the specific therapy process of the personalization of tumour.
In addition, the present invention is also provided for storing and analyze the treatment later evaluation device of data after treatment, and this apparatus for evaluating can carry out machine learning according to therapeutic process data, thus implements to provide foundation for the treatment of follow-up similar tumour, tracking or therapeutic evaluation.
The present invention improves prior art, therefore has used for reference prior art in implementation process, as space is limited, is not described in detail prior art part; The NM technology part of every the present invention, all can adopt existing techniques in realizing.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (8)
1. based on a system for the oncotherapy curative effect EARLY STAGE EVALUATION of cloud computing, it is characterized in that: system comprises multi-modal imaging acquisition device in tumor therapeutic procedure, the registration based on voxel of multi-mode image and cloud computing device, the earlier evaluations cloud computing device based on curative effect in the tumor therapeutic procedure of voxel, the treatment later evaluation cloud computing device of fusion.
2. the system of the oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing according to claim 1, is characterized in that: in described tumor therapeutic procedure, multi-modal imaging acquisition device comprises PET/CT, and/or, PET/MRI.
3. the system of the oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing according to claim 1 and 2, it is characterized in that: in described tumor therapeutic procedure, multi-modal imaging acquisition device is the equipment of user terminal, this kind of equipment can gather the multi-modality image of reaction tumour different attribute information simultaneously, collectable data type comprises direct digitized medical image, and the information that easily extensible is the genome and Leaf proteins that can gather patient is for providing the information with medical image complementation; The equipment of described user terminal designs according to the programmable interface of cloud computing platform, can run software on it, is sent on cloud computing server by pretreated data message.
4. the system of the oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing according to claim 1 and 2, it is characterized in that: the information that the registration based on voxel of described multi-mode image and the cloud computing device of fusion are sent according to the equipment of user side, the different image registration of Automatically invoked is merged program and is carried out information processing; Contents processing comprise by treatment in three dimensional CT sagittal plane carry out cutting, be divided into and input square section one by one, then each CT in three-dimensional CT image before the treatment of correspondence and treatment is inputted square section and be mapped to different cloud computing nodes respectively as one group, cloud computing node is according to input data, to treat front three-dimensional CT image as image subject to registration, the CT square section in treatment is the two-dimensional/three-dimensional image registration that floating image carries out based on pixel.
5. the system of the oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing according to claim 1 and 2, it is characterized in that: the pixel value of each pixel of each mode image before treatment and in treatment is carried out linear least-squares regretional analysis by the described earlier evaluations cloud computing device based on curative effect in the tumor therapeutic procedure of voxel, the fiducial interval of 95% defines two threshold values by the result of linear least-squares regretional analysis, the voxel of the multi-mode image in treatment is divided into three classes, namely alleviates class, reactionless class and treatment impedance class completely or locally; Three class tumour subregions are supplied to doctor after being analyzed by cloud computing platform and adjust Current treatment protocols.
6. the system of the oncotherapy curative effect EARLY STAGE EVALUATION based on cloud computing according to claim 1 and 2, it is characterized in that: described treatment later evaluation cloud computing device, its storer store after treatment neutralization treatment with the front multi-modality image phase registration image for the treatment of and fusion evaluation, data processor sets up the forecast model of this oncotherapy curative effect by the MapReduce programming model machine learning of the Hadoop in high in the clouds, and the treatment for follow-up similar tumour is implemented to provide foundation; Treatment later evaluation cloud computing device is by setting up based on probability statistical analysis model, the image of tumor therapeutic procedure on the image data of check of the different time points after treatment and cloud platform is analyzed, for doctor follows the tracks of assessment to situation after Case treatment comprehensively, simultaneously also for providing reference data and teaching resource for the EARLY STAGE EVALUATION of multi-mode molecular image to oncotherapy curative effect clinically.
7. the method based on the oncotherapy curative effect EARLY STAGE EVALUATION of cloud computing, it is characterized in that: comprise following step: in (1) tumor therapeutic procedure, multi-mode molecular imaging acquisition device scans patient tumor area before being used for the treatment of, thus obtain the three-dimensional molecular image of patient tumor area; (2) the 3rd week after patient starts oncotherapy, multi-mode molecular imaging acquisition device obtained the three-dimensional molecular image of patient tumor area in treatment for scanning patient tumor area again; (3) the multi-mode molecular image of acquisition before treatment and in treatment is stored in data storage server by multi-mode molecular imaging acquisition device, passes to the cloud computing device of registration based on voxel and fusion; Comprise two parts based on the registration of voxel and the cloud computing device framework of fusion, a part on the equipment of user terminal, on another part cloud computing server; (4) original image data before the treatment that the registration based on voxel of user terminal and the cloud computing framework of fusion use the related algorithm of Digital Image Processing to obtain scanning and in treatment carries out pre-service; User terminal by pretreated multi-mode molecular image signal transmission to on the cloud computing server of this linking of devices; (5) on cloud computing server, based on the cloud computing framework of the registration of voxel and fusion, based on voxel registration and fusion are carried out to the signal of video signal in treatment and before treatment, after having processed, result is passed back user terminal and the earlier evaluations cloud computing device based on curative effect in the tumor therapeutic procedure of voxel, registration result is shown to user by user terminal; Based on the equipment that the registration of voxel and the cloud calculation server of fusion run and/or software, be responsible for accepting the image information that subscriber terminal equipment is sent, according to calculated amount distributes calculation resources, carry out information processing; Contents processing comprises: the image information of reception, carries out conversion coupling, then carry out registration fusion to the multi-modality image before treatment and in treatment to the voxel between different mode image; (6) registration complete after treatment before and multi-mode image in treatment browsed diagnosis except passing back user terminal for user, be also transferred to the earlier evaluations cloud computing device of curative effect in the tumor therapeutic procedure based on voxel; The voxel of the multi-mode image in treatment, mainly through the threshold value of the determination classification of the voxel in comparison therapy and before treatment, is divided into three classes by the framework of this device, namely alleviates class, reactionless class and treatment impedance class completely or locally; Doctor, according to the different qualities of three class tumour subregions, carries out therapeutic scheme targetedly to tumor region; (7), after whole treatment completes, treatment later evaluation device is the data inventory analysis platform based on cloud computing; Treatment later evaluation device comprises storer and data processor, storer store after treatment neutralization treatment with the front multi-modality image phase registration image for the treatment of and fusion evaluation, data processor sets up the forecast model of this oncotherapy curative effect by machine learning, and the treatment for follow-up similar tumour is implemented to provide foundation; Data processor carries out machine learning based on support vector machine principle or neural network theory; The data analysis statistical based on cloud platform is adopted to pass through to set up based on probability statistical analysis model, the image of tumor therapeutic procedure on the image data of check of the different time points after treatment and cloud platform is analyzed, for doctor follows the tracks of assessment to situation after Case treatment comprehensively, simultaneously also for providing reference data and teaching resource for the EARLY STAGE EVALUATION of multi-mode molecular image to oncotherapy curative effect clinically.
8. method according to claim 7, it is characterized in that: described step (1) or (2) middle 3-dimensional image obtained can be used for plan radiation therapy plan: draw the highest region of tumor promotion by hook is merged in the image registration before treatment, except outputing general dose prescription for whole tumor region, for all right booster of the subregion that tumor promotion is the highest, in order to kill tumour cell to greatest extent, avoid high radiological dose to injure peritumoral tissues organ simultaneously.
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