1. A method of data analysis, comprising:

respectively acquiring positron emission computed tomography data of one or more molecular probes in a region of interest at a plurality of time points;

calling a corresponding calculation workflow for each molecular probe;

calculating each of the positron emission computed tomography data by the corresponding computational workflow;

determining an analysis result of the region of interest based on a calculation result of each of the positron emission computed tomography data.

2. The method of claim 1, wherein the molecular probe comprises at least one of an amyloid molecular probe, a Tau molecular probe, and a fluorodeoxyglucose molecular probe.

3. The method of claim 2, wherein the molecular probes comprise an amyloid molecular probe, a Tau molecular probe, and a fluorodeoxyglucose molecular probe, and wherein the step of separately computing each of the positron emission computed tomography data by the respective computational workflow comprises:

performing a ratio analysis workflow to calculate positron emission computed tomography standard uptake value ratio data according to positron emission computed tomography data of amyloid molecules;

a database comparison workflow is performed to calculate metabolic level data based on positron emission computed tomography data of Tau protein molecules and/or fluorodeoxyglucose molecules.

4. The method of claim 1, wherein the step of determining an analysis result of the region of interest based on the calculation result of each of the positron emission tomography data comprises:

judging the attribute of the calculation result of each positron emission computed tomography data according to a preset threshold value;

and determining the analysis result of the region of interest based on the attribute of each calculation result and a preset judgment condition.

5. The method of claim 1, wherein prior to the step of separately acquiring positron emission tomography data of the one or more molecular probes of the region of interest at the plurality of time points, the method further comprises:

positron emission computed tomography of the region of interest is performed at multiple points in time by one or more molecular probes, respectively.

6. The method of claim 1, further comprising:

and comparing and displaying the positron computed tomography data and the calculation results of the one or more molecular probes at a plurality of time points in an interface.

7. The method of claim 1, further comprising:

adjusting one or more of the positron emission computed tomography data;

calculating the adjusted positron emission computed tomography data again through the corresponding calculation workflow;

updating the analysis result based on the recalculated calculation result.

8. A data analysis apparatus, comprising:

the acquisition module is used for respectively acquiring positron emission computed tomography data of one or more molecular probes of the region of interest at a plurality of time points;

the calling module is used for calling corresponding calculation workflows for each molecular probe;

a calculation module for calculating each of the positron emission computed tomography data through the corresponding calculation workflow;

an analysis module for determining an analysis result of the region of interest based on a calculation result of each of the positron emission computed tomography data.

9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the data analysis method according to any one of claims 1 to 7 when executing the program.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a data analysis method according to any one of claims 1 to 7.

Background

For neurodegenerative diseases of the brain, such as alzheimer's disease, Positron Emission Tomography (PET) is often required to be performed on a patient to obtain the condition of various related substances in a region of interest for a doctor to judge. For the acquired PET data, the conventional analysis software can only analyze one kind of PET examination at a time, when the data types are more, the processing is required to be carried out for many times, and the processed results cannot be integrated and analyzed. Doctors can only store the processing results every time, and then automatically use the stored results to perform comparative analysis, so that the analysis process is troublesome, the analysis efficiency is low, and much time and labor cost are wasted.

Disclosure of Invention

In view of the above, the present invention provides a data analysis method, apparatus, computer device and readable storage medium, which can automatically and simultaneously perform multi-probe or multi-time point positron emission tomography data analysis.

In a first aspect, an embodiment of the present invention provides a data analysis method, including:

respectively acquiring positron emission computed tomography data of one or more molecular probes in a region of interest at a plurality of time points;

calling a corresponding calculation workflow for each molecular probe;

calculating each of the positron emission computed tomography data by the corresponding computational workflow;

determining an analysis result of the region of interest based on a calculation result of each of the positron emission computed tomography data.

The data analysis method can synchronously acquire positron emission computed tomography data under multiple probes or multiple time points, and carry out corresponding workflow calculation aiming at data of different molecular probes or different time points, so that an analysis result of the positron emission computed tomography data under multiple probes or multiple time points is obtained, the analysis efficiency can be effectively improved, a user can conveniently judge according to the analysis result, and the use experience of the user is improved.

In one embodiment, the molecular probe comprises at least one of an amyloid molecular probe, a Tau molecular probe, and a fluorodeoxyglucose molecular probe.

In one embodiment, the molecular probes include an amyloid molecular probe, a Tau molecular probe, and a fluorodeoxyglucose molecular probe, and the step of calculating each of the positron emission computed tomography data by the corresponding computational workflow comprises:

performing a ratio analysis workflow to calculate positron emission computed tomography standard uptake value ratio data according to positron emission computed tomography data of amyloid molecules;

a database comparison workflow is performed to calculate metabolic level data based on positron emission computed tomography data of Tau protein molecules and/or fluorodeoxyglucose molecules.

In one embodiment, the step of determining the analysis result of the region of interest based on the calculation result of each of the positron emission computed tomography data includes:

judging the attribute of the calculation result of each positron emission computed tomography data according to a preset threshold value;

and determining the analysis result of the region of interest based on the attribute of each calculation result and a preset judgment condition.

In one embodiment, before the step of respectively acquiring positron emission computed tomography data of the one or more molecular probes of the region of interest at a plurality of time points, the method further comprises:

positron emission computed tomography of the region of interest is performed at multiple points in time by one or more molecular probes, respectively.

In one embodiment, the method further comprises:

and comparing and displaying the positron computed tomography data and the calculation results of the one or more molecular probes at a plurality of time points in an interface.

In one embodiment, the method further comprises:

adjusting one or more of the positron emission computed tomography data;

calculating the adjusted positron emission computed tomography data again through the corresponding calculation workflow;

updating the analysis result based on the recalculated calculation result.

In a second aspect, an embodiment of the present invention further provides a data analysis apparatus, including:

the acquisition module is used for respectively acquiring positron emission computed tomography data of one or more molecular probes of the region of interest at a plurality of time points;

the calling module is used for calling corresponding calculation workflows for each molecular probe;

a calculation module for calculating each of the positron emission computed tomography data through the corresponding calculation workflow;

an analysis module for determining an analysis result of the region of interest based on a calculation result of each of the positron emission computed tomography data.

The data analysis device can synchronously acquire positron emission computed tomography data under multiple probes or multiple time points, and carry out corresponding workflow calculation aiming at data of different molecular probes or different time points, so that an analysis result of the positron emission computed tomography data under the multiple probes or the multiple time points is obtained, the analysis efficiency can be effectively improved, a user can conveniently judge according to the analysis result, and the use experience of the user is improved.

In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the computer program to implement the data analysis method as described above.

In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the data analysis method as described above.

Drawings

FIG. 1 is a schematic flow chart diagram of a data analysis method in one embodiment;

FIG. 2 is a flow diagram illustrating steps in one embodiment for computing positron emission computed tomography data separately for each positron emission computed tomography data via a corresponding computational workflow;

FIG. 3 is a flowchart illustrating steps in one embodiment for determining an analysis result for a region of interest based on a calculation result for each positron emission tomography data;

FIG. 4 is a schematic flow chart diagram of a data analysis method in another embodiment;

FIG. 5 is a schematic flow chart diagram of a data analysis method in another embodiment;

fig. 6 is a schematic structural diagram of a data analysis device in one embodiment.

Detailed Description

The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.

Fig. 1 is a schematic flow diagram of a data analysis method in an embodiment, and as shown in fig. 1, in an embodiment, a data analysis method may specifically include:

step S120: positron emission computed tomography data of one or more molecular probes of a region of interest at a plurality of time points are acquired, respectively.

Specifically, in clinical work for cerebral neurodegenerative diseases such as alzheimer's disease, Positron Emission Tomography (PET) and other detection needs to be performed on a region of interest, so as to obtain the content, distribution and other conditions of various substances in the region of interest, and provide references for judgment and the like of a subsequent doctor. PET detection can generally be performed at different time points for specific molecular probes to acquire data changes in the time point periods. In order to obtain the content and distribution condition of different substances, the cooperative PET detection of multiple molecular probes can be carried out at multiple time points respectively, so that a basis is provided for evaluating the development and change of neurodegenerative diseases.

The number and specific locations of the regions of interest may be determined according to actual requirements, for example, for neurodegenerative diseases of the brain such as alzheimer's disease, the regions of interest may be all brain regions of the whole brain, or may be a certain part of the brain, for example, the regions of interest may specifically be the anterior cingulate, posterior cingulate, anterior cuneiform, temporal lobe, frontal lobe, parietal lobe, and the like. When a plurality of brain areas are included, data analysis of the plurality of molecular probes is carried out on each brain area, so that the analysis results of the plurality of molecular probes of each interested area are obtained, and the conditions of different areas of the brain are analyzed and judged.

Further, the type and amount of the molecular probe can also be determined according to the actual detection requirement, for example, in a specific embodiment, the molecular probe includes at least one of an amyloid molecular probe, a Tau molecular probe, and a fluorodeoxyglucose molecular probe. For the judgment of the condition of Alzheimer's disease, the content and distribution of amyloid protein molecules, Tau protein molecules and fluorodeoxyglucose molecules play an important role.

Among them, Amyloid molecules (labeled as a) are deposited in the cortical region 10 to 20 years before the onset of other clinical symptoms of alzheimer's disease, and can be identified by using an AV45 molecular probe for PET detection of Amyloid molecules. Tau Protein molecules (labeled as T) are abnormally deposited in Alzheimer patients to form paired Neurofibrillary Tangles (NFTs), which are related to the loss of cortical neurons and the reduction degree of cognitive ability of patients, the content of the Tau Protein molecules can reflect the severity of Alzheimer diseases, and for PET detection of the Tau Protein molecules, 11C-PIB molecular probes can be generally adopted. Fluorodeoxyglucose (FDG, which may be labeled as N) is a commonly used PET imaging agent, and in different alzheimer's diseases, fluorodeoxyglucose molecules have different metabolic patterns and can be used to reflect specific types of alzheimer's diseases. It is to be understood that the molecular probe of the present invention is not limited to the above-described embodiments, and in other embodiments, other types of molecular probes may be used according to the detection requirements.

Step S140: and calling corresponding calculation workflow for each molecular probe.

Step S160: each positron emission computed tomography data is computed separately by a corresponding computational workflow.

Specifically, different calculation workflows are generally required to perform calculation processing on PET data acquired by performing PET detection on different molecular probes to obtain required data. The corresponding calculation template or calculation formula and the like can be preset for the PET data of each molecular probe, calculation is carried out according to the calculation template or the calculation formula after the PET data are obtained, or a database of results corresponding to the PET data of the molecular probes can be established in advance, and the corresponding results are inquired in the database according to the obtained PET data. After the PET data of various molecular probes are acquired, the calculation workflow of each PET data can be called at the same time, and then the PET data of various molecular probes are synchronously calculated and processed according to the corresponding calculation workflow, so that the data processing efficiency is improved.

Step S180: an analysis result of the region of interest is determined based on the calculation result of each positron emission computed tomography data.

Specifically, after the PET data of one or more molecular probes are calculated, corresponding calculation results can be obtained, each calculation result can represent the content or distribution of the corresponding molecule at a certain time point according to the difference between the molecular probe and the corresponding calculation workflow, the calculation results can be allowed to be simultaneously loaded for integrated analysis, and the corresponding analysis result is determined based on the preset judgment condition. For example, the calculation results of the amyloid protein molecules, Tau protein molecules and fluorodeoxyglucose molecules are queried in a preset judgment condition table to determine the type, severity and other conditions of alzheimer's disease in the region of interest, and the development of alzheimer's disease can be judged according to the variation of the calculation results of the molecules at different time points, for example, the process of changing from a normal state to a Mild Cognitive Impairment (MCI) state is judged according to the numerical variation at different time points.

The data analysis method can synchronously acquire positron emission computed tomography data under multiple probes or multiple time points, and carry out corresponding workflow calculation aiming at data of different molecular probes or different time points, so that an analysis result of the positron emission computed tomography data under multiple probes or multiple time points is obtained, the analysis efficiency can be effectively improved, a user can conveniently judge according to the analysis result, and the use experience of the user is improved.

Fig. 2 is a schematic flow chart illustrating steps of calculating each positron emission tomography data through a corresponding calculation workflow according to an embodiment, based on the foregoing embodiment, as shown in fig. 2, in an embodiment, the molecular probe includes an amyloid molecular probe, a Tau molecular probe, and a fluorodeoxyglucose molecular probe, and step S160 of the data analysis method may specifically include:

step S162: from the positron emission computed tomography data of the amyloid molecules, a ratiometric workflow is performed to calculate positron emission computed tomography standard uptake ratio data.

Specifically, for the PET data of Amyloid (Amyloid) molecules, a standard Uptake ratio (SUVr) data of positron emission computed tomography (PET) may be calculated, after the PET data of Amyloid is obtained, a workflow of a calculation template of SUVr data may be invoked, and then, a SUVr Value of a region of interest may be determined according to the PET data of Amyloid molecules and the calculation template. For alzheimer's disease, it is generally possible to obtain a respective SUVr value of each brain region and an average SUVr value of the brain, and the SUVr value is a feature value for performing a stage determination of alzheimer's disease subsequently.

Step S164: a database comparison workflow is performed to calculate metabolic level data based on positron emission computed tomography data of Tau protein molecules and/or fluorodeoxyglucose molecules.

Specifically, for the PET data of Tau protein molecules and fluorodeoxyglucose molecules, compared with the database, the calculation of metabolic level data (Z value) can be performed, the magnitude of the Z value can reflect the metabolic level of the region of interest, specifically high metabolism or low metabolism, and the like, after the PET data of Tau protein molecules or fluorodeoxyglucose molecules are obtained, a workflow for database comparison can be generally called to evaluate the specific value of the Z value, and for alzheimer disease, the Z value is a characteristic value for subsequently performing the type and severity judgment of alzheimer disease.

Fig. 3 is a flowchart illustrating a step of determining an analysis result of a region of interest based on a calculation result of each positron emission tomography data in an embodiment, and based on the above embodiment, as shown in fig. 3, in an embodiment, the step S180 of the data analysis method may specifically include:

step S182: and judging the attribute of the calculation result of each positron emission computed tomography data according to a preset threshold value.

Step S184: and determining the analysis result of the region of interest based on the attribute of each calculation result and a preset judgment condition.

Specifically, after the workflow is called to perform calculation processing on each PET data, integration analysis and judgment can be performed according to the obtained calculation result. For example, for each molecule of the PET data calculation result, a corresponding threshold may be set to determine the attribute thereof, where the PET data calculation result for each molecule generally indicates the content or distribution thereof, and the attribute indicates the content or whether deposition occurs. The attribute of the calculation result may be generally represented by "+" and "-", for example, the attribute of "+" may represent a case of high content or deposition, and the attribute of "-" may represent a case of low content or no deposition, and the attribute is determined to be "+" or "-" according to the calculation result of each molecule and a preset threshold. And inquiring the analysis result corresponding to the attribute combination of each current PET data calculation result according to a preset judgment condition, thereby completing the PET data analysis of various molecular probes.

Further, for example, the calculation results of the amyloid protein molecule, the Tau protein molecule, and the fluorodeoxyglucose molecule may be respectively labeled as A, T, N, and the attributes of each calculation result, specifically, a +, a-, T +, T-, N +, and N-, may be determined based on a threshold value preset for each molecule, so that a combination of the calculation result attributes of the three molecules may be obtained at each time point, and the condition of alzheimer's disease corresponding to the combination of the calculation results may be determined based on a preset determination condition, thereby completing the analysis of PET data. The predetermined condition may be determined according to actual conditions, and each combination of the calculation results corresponds to a specific analysis result, for example, in a specific embodiment, if the combination of the calculation results of the amyloid molecule, the Tau molecule and the fluorodeoxyglucose molecule at a certain time point is a +/T-/N-, the analysis result may be that the region of interest at the time point has a risk of alzheimer's disease.

Fig. 4 is a schematic flow chart of a data analysis method in another embodiment, and based on the above embodiment, as shown in fig. 4, in an embodiment, the data analysis method includes steps S220, S240, S260, and S280, which may be respectively the same as corresponding steps in the above embodiment, and in this embodiment, before step S220, the data analysis method may further include:

step S210: positron emission computed tomography of the region of interest is performed at multiple points in time by one or more molecular probes, respectively.

Specifically, according to the molecular species and specific time points required by PET data analysis, Positron Emission Tomography (PET) equipment can be controlled to select corresponding molecular probes, and PET detection is automatically performed on dry regions at preset time points, so that PET data of multiple molecular probes at multiple time points are obtained. Therefore, after a doctor or an operator determines the required molecular probe and the time point, the automatic control of the PET equipment can be realized, the acquisition efficiency of the data required by the subsequent PET data analysis is improved, and the labor and time cost is further saved.

In one embodiment, on the basis of the above embodiments, the data analysis method may further include:

step S290: comparing and displaying the positron computer tomography data and the calculation results of one or more molecular probes at a plurality of time points in an interface.

Specifically, after the PET data calculation results of multiple molecular probes at multiple time points are obtained, information of each molecular probe, time point information and corresponding calculation result information can be compared and displayed on the same interface, so that a doctor or a user can conveniently watch and compare results of the same probe at different time points or different probes at respective time points, and the doctor or the user can also store the calculation of the same probe at different time points or different probes at respective time points in the same report, so that the calculation can be called when needed in the subsequent process.

Further, the content and the mode of the comparative display interface can be determined according to the analysis requirement, for example, the displayed content generally includes molecular probes, time points, PET data, calculation results, and the like, wherein the PET data is not limited to the PET data of three types of molecular probes, i.e., amyloid molecule (a), Tau molecule (T), and fluorodeoxyglucose molecule (N), and for example, N may also be an MR number. The user can also adjust the layout of the comparison display interface according to the actual situation, and the comparison display mode specifically includes, but is not limited to, the forms of reference diagrams, tables, summarized numerical values and the like.

Fig. 5 is a flowchart illustrating a data analysis method in another embodiment, and based on the above-mentioned embodiment, as shown in fig. 5, in an embodiment, after determining an analysis result of the region of interest based on a calculation result of each positron emission tomography data, the data analysis method in this embodiment may further include:

step S320: one or more positron emission computed tomography data are adjusted.

Step S340: and according to the adjusted positron emission computed tomography data, calculating the adjusted positron emission computed tomography data again through a corresponding calculation workflow.

Step S360: updating the analysis result based on the recalculated calculation result.

Specifically, after the calculation results of each molecular probe and time point are summarized and analyzed, if a situation that PET data is wrong and needs to be readjusted occurs, after one or more PET data are adjusted, the corresponding calculation workflow of the adjusted PET data can be automatically called to recalculate the adjusted PET data, the analysis results are updated according to the recalculated calculation results, and the updated analysis results are displayed to a doctor or an operator. Therefore, when data errors occur at a certain position or other conditions that part of data needs to be adjusted occur, the adjusted analysis result can be automatically updated, and a doctor or a user does not need to repeat the whole analysis process from beginning to end, so that the doctor or the user can conveniently manage or modify the analysis result, and the use experience of the user is improved.

Fig. 6 is a schematic structural diagram of a data analysis apparatus according to an embodiment, and as shown in fig. 6, in an embodiment, a data analysis apparatus 500 includes: an acquiring module 520, configured to acquire positron emission computed tomography data of one or more molecular probes of the region of interest at a plurality of time points, respectively; a calling module 540, configured to call a corresponding computation workflow for each molecular probe; a calculation module 560 for calculating each positron emission computed tomography data separately by a corresponding computational workflow; an analysis module 580 for determining an analysis result of the region of interest based on the calculation result of each positron emission computed tomography data.

Specifically, in the data analysis apparatus 500, the acquiring module 520 may be communicatively connected to a PET device, and after the PET device performs PET detection of one or more molecular probes of a region of interest at multiple time points, the acquiring module 520 acquires PET data of each detection and sends the PET data to the invoking module 540. The calling module 540 is preset with a corresponding calculation workflow for the PET data of each molecular probe, and the calling module 540 may respectively call the corresponding calculation workflow according to the type of the molecular probe of each received PET data.

The calculating module 560 performs corresponding calculation processing on each PET data according to the calculation workflow called by the calling module 540 to obtain a calculation result of the PET data of each molecular probe at each time point, and the calculating module 560 sends the obtained calculation result to the analyzing module 580. The analysis module 580 performs a judgment for each calculation result based on a preset judgment condition, thereby obtaining analysis results of the performed multi-molecular probe and the PET detection at a plurality of time points.

The data analysis device 500 can synchronously acquire positron emission computed tomography data under multiple probes or multiple time points, and perform corresponding workflow calculation for data of different molecular probes or different time points, so as to obtain an analysis result of the positron emission computed tomography data under multiple probes or multiple time points, thereby effectively improving analysis efficiency, facilitating judgment of a user according to the analysis result, and improving use experience of the user.

In one embodiment, based on the above embodiments, the molecular probe may specifically include an amyloid molecular probe, a Tau molecular probe, and a fluorodeoxyglucose molecular probe, and the content and distribution of the amyloid molecule, the Tau molecule, and the fluorodeoxyglucose molecule play an important role in determining the alzheimer's disease. The calculation module 560 may specifically include an uptake value calculation unit for performing a ratiometric workflow to calculate positron emission tomography standard uptake value ratio data based on positron emission tomography data of amyloid molecules, and a metabolism calculation unit. The metabolism calculating unit is used for performing database contrast workflow according to positron emission computed tomography data of Tau protein molecules and/or fluorodeoxyglucose molecules so as to calculate metabolism level data.

In one embodiment, on the basis of the above embodiments, the data analysis apparatus may further include a display module, which is configured to compare and display positron computed tomography data of a plurality of molecular probes and their calculation results in an interface, so that a doctor or a user can conveniently view and compare and analyze results of different probes at different time points.

In one embodiment, on the basis of the above embodiments, the data analysis apparatus may further include an adjusting module, the adjusting module is configured to adjust one or more positron emission tomography data, the calculating module 560 performs calculation again on the adjusted positron emission tomography data through a corresponding calculation workflow according to the adjusted positron emission tomography data, and the analyzing module 580 updates the analysis result based on the calculation result obtained by the calculation again. Therefore, when the part data needs to be adjusted, the adjusted analysis result is automatically updated, so that the doctor or the user can conveniently manage or modify the analysis result, and the use experience of the user is improved.

It can be understood that the data analysis device provided in the embodiment of the present invention can execute the data analysis method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method. The units and modules included in the data analysis device in the above embodiment are only divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be realized; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.

In one embodiment, a computer device is provided that includes a memory, a processor, and a computer program stored on the memory and executable on the processor. The processor, when running the program, may perform the steps of: respectively acquiring positron emission computed tomography data of one or more molecular probes in a region of interest at a plurality of time points; calling corresponding calculation workflows for each molecular probe; calculating each positron emission computed tomography data through a corresponding calculation workflow; an analysis result of the region of interest is determined based on the calculation result of each positron emission computed tomography data.

It is to be understood that the computer device provided by the embodiments of the present invention, the processor of which executes the program stored in the memory, is not limited to the method operations described above, and may also execute the relevant operations in the data analysis method provided by any embodiments of the present invention.

Further, the number of processors in the computer may be one or more, and the processors and the memory may be connected by a bus or other means. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system and an application program required by at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory may further include memory located remotely from the processor, which may be connected to the device/terminal/server via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

In one embodiment, the present invention also provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, causes the processor to perform the steps of: respectively acquiring positron emission computed tomography data of one or more molecular probes in a region of interest; calling corresponding calculation workflows for each molecular probe; calculating each positron emission computed tomography data through a corresponding calculation workflow; an analysis result of the region of interest is determined based on the calculation result of each positron emission computed tomography data.

It is to be understood that the computer-readable storage medium containing the computer program according to the embodiments of the present invention is not limited to the method operations described above, and may also perform related operations in the data analysis method according to any embodiments of the present invention.

From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods described in the embodiments of the present invention.

The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above embodiments only represent the preferred embodiments of the present invention and the applied technical principles, and the description thereof is specific and detailed, but not construed as limiting the scope of the invention. Numerous variations, changes and substitutions will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in more detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.