CN108885899B

CN108885899B - Medical image transmission data processing method and device and electronic equipment

Info

Publication number: CN108885899B
Application number: CN201780000746.4A
Authority: CN
Inventors: 刘澎; 郭潮波
Original assignee: Cloudminds Robotics Co Ltd
Current assignee: Cloudminds Shanghai Robotics Co Ltd
Priority date: 2017-04-01
Filing date: 2017-04-01
Publication date: 2022-02-08
Anticipated expiration: 2037-04-01
Also published as: WO2018176484A1; CN108885899A

Abstract

The embodiment of the invention discloses a method and a device for processing medical image transmission data and electronic equipment, wherein the method for processing the medical image transmission data applied to a user terminal comprises the following steps: generating medical image transmission data in response to a request for generating a medical image auxiliary medical record; and sending the medical image transmission data to an artificial intelligent service center through a block chain network. The processing method of the medical image transmission data applied to the artificial intelligence service center comprises the following steps: receiving medical image transmission data sent by a user terminal through a block chain network; generating a medical image auxiliary medical record according to the medical image transmission data; and sending the medical image auxiliary medical record through the block chain network. By the mode, the embodiment of the invention can prevent the data information from being tampered in the process of transmitting the medical image data and acquiring the medical image auxiliary medical record, and meanwhile, the whole process of transmitting the information has traceability, so that the safety performance of information transmission is improved.

Description

Medical image transmission data processing method and device and electronic equipment

Technical Field

The present invention relates to the field of medical auxiliary diagnosis technologies, and in particular, to a method and an apparatus for processing medical image transmission data, and an electronic device.

Background

Currently, with the rapid development of electronic Intelligence, Artificial Intelligence (AI) has become a hot spot of people's extensive attention and research. Among them, the application of artificial intelligence in medical treatment is becoming more and more widespread. Particularly, in the aspect of medical imaging, the auxiliary diagnosis of artificial intelligence can help a doctor to reduce misdiagnosis rate when performing diagnosis related to the image, and the work efficiency of a radiologist is improved. Therefore, it is inevitable that artificial intelligence participates in the medical image diagnosis process.

However, when the artificial intelligence aided diagnosis is added to the medical image diagnosis process, a network outside the hospital is generally required to transmit the medical image data, and based on the existing network transmission method, the information security of the medical image data is very low, so that the risk of being attacked and tampering the data exists, and once the medical image data is tampered, a doctor can make an incorrect medical diagnosis. Therefore, how to effectively ensure that the medical image data is safely transmitted to the designated recipient, and the information can be safely returned after the recipient adds the auxiliary diagnosis opinion, is an important issue for auxiliary diagnosis by using artificial intelligence.

Disclosure of Invention

The embodiment of the invention mainly solves the problems of how to effectively ensure that the medical image data is safely transmitted to the appointed receiver and the information can be safely returned after the receiver adds the auxiliary diagnosis opinions.

In order to solve the above technical problem, one technical solution adopted by the embodiments of the present invention is: the method for processing the medical image transmission data is applied to a user terminal and comprises the following steps:

generating medical image transmission data in response to a request for generating a medical image auxiliary medical record;

and sending the medical image transmission data to an artificial intelligent service center through a block chain network.

To solve the above technical problem, another technical solution adopted in the embodiments of the present invention is: the method is applied to an intelligent service center and comprises the following steps:

receiving medical image transmission data sent by a user terminal through a block chain network;

generating a medical image auxiliary medical record according to the medical image transmission data;

and sending the medical image auxiliary medical record through the block chain network.

In order to solve the above technical problem, another technical solution adopted in the embodiments of the present invention is: a processing device for medical image transmission data is provided, the device comprises:

the medical image transmission data generation unit is used for responding to a request for generating a medical image auxiliary medical record and generating medical image transmission data;

and the medical image transmission data sending unit is used for sending the medical image transmission data to the artificial intelligent service center through the block chain network.

In order to solve the above technical problem, another technical solution adopted by the embodiment of the present invention is: a processing device for medical image transmission data is provided, the device comprises:

the medical image transmission data receiving unit is used for receiving medical image transmission data sent by a user terminal through a block chain network;

the auxiliary diagnosis medical record generating unit is used for generating a medical image auxiliary diagnosis medical record according to the medical image transmission data;

and the first auxiliary medical record sending unit is used for sending the medical image auxiliary medical record through the block chain network.

In order to solve the above technical problem, another technical solution adopted in the embodiments of the present invention is: an electronic device is provided, the electronic device including:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the memory stores a program of instructions executable by the at least one processor, the program of instructions being executed by the at least one processor to cause the at least one processor to perform the method of processing medical image transmission data as described above.

In order to solve the above technical problem, another technical solution adopted in the embodiments of the present invention is: there is provided a computer-readable storage medium storing computer-executable instructions for causing a computer to execute the processing method of medical image transmission data as described above.

In order to solve the above technical problem, another technical solution adopted in the embodiments of the present invention is: there is provided a computer program product comprising a computer program stored on a computer-readable storage medium, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the method of processing medical image transmission data as described above.

According to the processing method and device for medical image transmission data and the electronic device, the medical image data is transmitted in the block chain network, so that the medical image data can be prevented from being transmitted, data information is prevented from being tampered in the process of acquiring the medical image auxiliary medical record, meanwhile, the whole process of transmitting information is traceable, and the safety performance of information transmission is improved.

Drawings

One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.

Fig. 1 is a schematic diagram of an operating environment of a processing method for medical image transmission data according to an embodiment of the present invention;

fig. 2 is a flowchart illustrating a processing method of medical image transmission data applied to a user terminal according to an embodiment of the present invention;

fig. 3 is a flowchart illustrating a method for generating medical image transmission data according to another embodiment of the present invention;

fig. 4 is a flowchart illustrating a processing method of medical image transmission data applied to an artificial intelligence service center according to an embodiment of the present invention;

fig. 5 is a schematic structural diagram of a processing apparatus for medical image transmission data according to an embodiment of the present invention;

fig. 6 is a schematic structural diagram of a processing apparatus for medical image transmission data according to another embodiment of the present invention; and the number of the first and second groups,

fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

It should be noted that, if not conflicted, the various features of the embodiments of the invention may be combined with each other within the scope of protection of the invention. Additionally, while functional block divisions are performed in apparatus schematics, with logical sequences shown in flowcharts, in some cases, steps shown or described may be performed in sequences other than block divisions in apparatus or flowcharts. The terms "first" and "second" used herein do not limit the data and execution order, but distinguish the same items or similar items having substantially the same functions and actions.

The participation of artificial intelligence in the medical image diagnosis process is an inevitable trend in medical development, however, when the artificial intelligence is added in the process of medical image diagnosis to assist the diagnosis, the problem of medical information transmission safety exists. Based on the above, the embodiment of the invention provides a method and a device for processing medical image transmission data and an electronic device. In the embodiment of the present invention, the "medical image transmission data" refers to medical data transmitted between a hospital and an artificial intelligence service center, and includes medical image data sent from the hospital and medical image auxiliary medical records returned from the artificial intelligence service center to the hospital, and the "medical image auxiliary medical record" refers to medical records including auxiliary diagnosis suggestions given by artificial intelligence based on medical images of patients, so that a doctor can be helped to reduce a misdiagnosis rate when performing diagnosis related to images, and the work efficiency of the doctor is improved. By using the processing method of the medical image transmission data provided by the embodiment of the invention, the safety and traceability of medical information transmission can be ensured when the link of artificial intelligence auxiliary diagnosis is added in the medical image diagnosis process.

Referring to fig. 1, fig. 1 is a schematic diagram of an operating environment of a processing method for medical image transmission data according to an embodiment of the present invention. As shown in fig. 1, the application environment includes: the medical imaging device 10, the user terminal 20, the artificial intelligence service center 30 and the medical imaging information system 40.

The medical imaging device 10 may be any device capable of acquiring medical image data of a patient, including but not limited to: ultrasound imaging devices, X-ray Computed Tomography (CT), magnetic resonance imaging devices (MRI), digital vascular silhouettes (DSA), Positron Emission Tomography (PET), endoscopic imaging, angiography devices, and nuclear medicine imaging devices, among others.

The user terminal 20 may be any suitable type of electronic device having a certain logical operation capability and providing one or more functions capable of satisfying the user's intention. Such as robots, PDAs, personal computers, tablet computers, smart phones, wearable smart devices, and the like. Here, the "user" in the embodiment of the present invention may refer to a doctor having an authority to use the user terminal 20. The user terminal 20 may include any suitable type of storage medium for storing data, such as a magnetic disk, a compact disk-read only memory (CD-ROM), a read-only memory (ROM), a random access memory (ram), or the like. The user terminal 20 may also include one or more logical operations modules that perform any suitable type of function or operation, such as viewing a database, editing a chart, etc., in parallel, either single-threaded or multi-threaded. The logic operation module may be any suitable type of electronic circuit or surface mount electronic device capable of performing logic operation, such as: single core processors, multi-core processors, Graphics Processors (GPUs), and the like. A doctor may interact with the user terminal 20 through any suitable type of one or more user interaction devices (e.g., a mouse, a keyboard, a remote controller, a touch screen, a motion sensing camera, an audio capture device, etc.), input instructions, or control the user terminal 20 to perform one or more operations.

The artificial intelligence service center 30 is a cloud service center capable of generating corresponding auxiliary diagnosis suggestions according to medical image data. Since the cost of the artificial intelligence service center 30 is generally expensive, a plurality of hospitals generally share the service resources of the artificial intelligence service center 30 by acquiring the authority of the artificial intelligence service center 30.

The medical image information system 40 is a management system that technically solves the image processing technology based on medical image storage and Communication, and may be generally referred to as pacs (picture Archiving and Communication systems). In the modern medical industry, the main task is to store various medical images (including images generated by equipment such as nuclear magnetism, CT, DR, ultrasound, various X-ray machines and the like) generated in daily life in a hospital imaging department in a digital manner through a DICOM3.0 international standard interface (most of China markets are analog interfaces, DICOM interfaces, network interfaces and the like), and when needed, the images can be quickly called back for use under certain authorization for doctors to look up medical image information of patients.

In the embodiment of the present invention, the medical imaging device 10, the user terminal 20, and the medical information system 40 are connected via a local area network in a hospital, and data transmission can be directly and safely performed among the three; the user terminal 20 and the artificial intelligence service center 30 are both nodes (participants) of a blockchain network, and data transmission is performed between the two nodes through the blockchain network.

The Block chain network is a network based on a Block chain technology, the Block chain (Block chain) is a novel decentralized protocol, digital currency transactions or other data can be safely stored, information cannot be forged and tampered, intelligent contracts can be automatically executed, and auditing of any centralized organization is not needed. The core of the blockchain is a shared database built on a consensus mode, a plurality of nodes (participants) can be included in the blockchain network, if a node adds a new transmission event in the shared database, the node must agree with other nodes (i.e. obtain the approval of other nodes in the blockchain network), once the agreement is achieved, other nodes of the blockchain network compete for the right to record the transmission event through workload certification, and then upgrade the new transmission event into a transaction 'block', and add the new transmission event into the blockchain, and once the block is embedded into the blockchain, the block is permanently kept in the blockchain, and the data of the block is irreversible, so that the transmission event becomes a permanent and transparent transaction record. Moreover, the block chain is an end-to-end network formed by a plurality of nodes together, no centralized equipment or management mechanism exists, data exchange among the nodes is verified through a digital signature technology, mutual trust is not needed, and other nodes cannot be deceived among the nodes as long as the data exchange is carried out according to the established rules of the system. Therefore, the user terminal 20 and the artificial intelligence service center 30 perform data transmission through the blockchain network, so that transmission records between the user terminal 20 and the artificial intelligence service center 30 are traceable and have traceability, and the safety of medical information transmission is improved.

In the embodiment of the present invention, medical image data of a patient is first acquired by the medical imaging device 10, wherein the medical image data may be any type of medical image data, such as: ultrasound images, CT images, MRI images, DSA images, etc.; then transmitting the medical image data to the user terminal 20 or the medical information system 40 for the doctor to look up; when a doctor wants to acquire an auxiliary diagnosis suggestion for the medical image, a request for acquiring an auxiliary medical record of the medical image can be issued to the user terminal 20 and the artificial intelligence service center 30 through interaction with the user terminal 20; in response to the request, the user terminal 20 transmits the medical image data of the patient to the artificial intelligence service center 30 through the blockchain network, and in the process, the "transmission event that the terminal 20 transmits the medical image data of the patient to the artificial intelligence service center 30" is embedded into the blockchain as a new block, so that a permanent and transparent transaction record is formed, and the transmission event has a traceable characteristic; subsequently, the artificial intelligence service center 30 analyzes the received medical image and generates a corresponding medical image-assisted diagnosis medical record, such as: the artificial intelligence service center 30 divides medical image data of the patient at the cloud end, so as to detect and locate suspicious lesions in the medical image data, avoid missed diagnosis and help doctors to make correct diagnosis decisions; finally, the artificial intelligence service center 30 transmits the medical image auxiliary diagnosis medical record to the user terminal 20 through the blockchain network (it should be noted here that the user terminal 20 receiving the medical image auxiliary diagnosis medical record may be the user terminal transmitting the medical image data, or may not be the user terminal transmitting the medical image data); the doctor consults the medical image assistant medical record at the user terminal 20. Further, if the doctor finds that the medical image assistant medical record has a reference value, the medical image assistant medical record can be sent to the medical information system 40 through the user terminal 20 for reference by other doctors, so that other doctors can judge the illness state of the patient under the condition of referring to the medical image assistant medical record of the same patient.

It should be noted that the processing method for medical image transmission data provided by the embodiment of the present invention can be further extended to other suitable application environments, and is not limited to the application environment shown in fig. 1. Although only two medical imaging devices 10, three user terminals 20, one artificial intelligence service center 30 and one medical information system 40 are shown in fig. 1, it will be understood by those skilled in the art that the application environment may also include more or less medical imaging devices, user terminals, artificial intelligence service centers and medical information systems in the actual application process.

Specifically, fig. 2 is a flowchart illustrating a processing method of medical image transmission data applied to a user terminal according to an embodiment of the present invention, please refer to fig. 2, where the method includes:

and S110, responding to a request for generating the medical image auxiliary medical record, and generating medical image transmission data.

In the embodiment of the present invention, the "request for generating a medical image auxiliary medical record" refers to an instruction for triggering a user terminal to acquire a medical image auxiliary medical record of a patient, and the instruction may be generated through interaction between the user and the user terminal. The medical image transmission data refers to data which are used for being transmitted to an artificial intelligence service center, the data comprise medical images of patients, and when the artificial intelligence service center acquires the medical image transmission data, medical image auxiliary medical records of the patients can be generated according to the medical images. The medical image may include, but is not limited to: ultrasound images, CT images, MRI images, DSA images, and the like.

In the embodiment of the present invention, when a doctor needs to obtain an auxiliary diagnosis suggestion of a medical image of a certain patient, the doctor may interact with the user terminal in any way to generate a "request for generating a medical image auxiliary medical record", for example: a doctor clicks an auxiliary diagnosis request on a page of a medical image of a patient, or the doctor adds medical image data of a certain patient in a functional list of auxiliary diagnosis, and the like; subsequently, the user terminal generates medical image transmission data based on the medical image data of the patient in response to the request. In an embodiment of the present invention, the medical image data of the patient refers to raw data acquired from a medical imaging device, and includes: medical images and patient information.

According to the regulations of relevant laws and regulations at home and abroad, such as: HIPPA (health Instrument accessibility and Account availability) established by the U.S. Federal government, medical systems must take appropriate measures to ensure that patient information is only available to professional medical personnel. Therefore, in some embodiments, in order to further ensure the privacy security of the patient, the user terminal first processes the medical image data of the patient to generate medical image transmission data with the patient information removed before sending the medical image data of the patient to the artificial intelligence service center. In this embodiment, as shown in fig. 3, the method for generating medical image transmission data specifically includes:

and S111, carrying out data desensitization treatment on medical image data of the patient to obtain patient information, medical images and an identifier uniquely corresponding to the patient information.

In this embodiment, the "patient information" refers to information related to the privacy of the patient, such as: name, sex, age, examination item, examination ID, examination time, and the like; the "medical image" refers to image data from which patient information is removed, including but not limited to: ultrasound images, CT images, MRI images, DSA images, etc.; the identifier uniquely corresponds to patient information and is used for matching the patient information of the medical record during the period of acquiring the auxiliary diagnosis medical image, and the identifier can have any expression form, such as: icon, serial number, hash value, etc.

In this embodiment, when the user terminal receives a request for generating a medical image medical record, data desensitization processing is performed on medical image data of a patient. The data desensitization processing process may include: extracting patient information from the medical image data to obtain a medical image and the patient information; and then generating an identifier uniquely corresponding to the patient information according to the patient information. The step of generating the identifier uniquely corresponding to the patient information from the patient information may be implemented by performing hash calculation on the patient information, wherein a unique hash value generated by the hash calculation is the identifier uniquely corresponding to the patient information. Wherein, the hash calculation means: using a hash function, such as: and SHA256, which performs encryption calculation on the patient information, and obtains a hash value with a fixed length through hash calculation, wherein the hash value is uniquely corresponding to the patient information. For example, the following steps are carried out: when a user terminal receives a request for generating a medical image auxiliary medical record, firstly, DICOM Tag value extraction is carried out on patient information in medical image data of a patient, so that patient information is obtained; then, the information (DICOM Tag value related to the patient information) is subjected to hash calculation to generate a unique hash value, so as to obtain an identifier uniquely corresponding to the patient information, and meanwhile, data corresponding to the patient information in the medical image data is modified, and a default null value is given, so as to obtain the medical image without the patient information.

And S112, generating medical image transmission data according to the medical image and the identification, and caching the patient information in the local.

In the embodiment, the medical image transmission data is generated according to the obtained medical image and the identification, and meanwhile, the patient information is cached locally. The "local" refers to a device capable of connecting to an intranet in a hospital, and may be a user terminal itself or a server in the hospital. The specific implementation manner of the step of generating the medical image transmission data according to the obtained medical image and the identifier may be: storing the hash value uniquely corresponding to the patient information in a field allowing for vendor customization in the DICOM Tag value field, thereby generating medical image transmission data including the medical image and the hash value. When the returned medical image auxiliary diagnosis duration is received, the hash value is still stored in the medical image auxiliary diagnosis medical record, and the local DICOM Tag value cache related to the patient information can be searched according to the hash value, so that the identity of the patient matched with the medical image auxiliary diagnosis duration is confirmed.

And S120, sending the medical image transmission data to an artificial intelligent service center through a block chain network.

In the embodiment of the invention, the characteristics of decentralization, autonomy, information non-tampering, transaction traceability and the like of the blockchain network are utilized, the user terminal and the artificial intelligence service center are arranged in the same blockchain network, and the user terminal transmits the medical image transmission data to the artificial intelligence service center through the blockchain network. The specific implementation mode can be as follows: after the medical image transmission data is generated, broadcasting a transmission event of the medical image transmission data sent to an artificial intelligence service center by the user terminal to all nodes of a block chain network, wherein the nodes are participants in the block chain network and comprise the artificial intelligence service center; and when the transmission event obtains the authorization response of all the nodes in the block chain network, sending the medical image transmission data to the artificial intelligence service center. It should be understood that the transmission event obtains an authorized response from all nodes in the blockchain network, i.e. the transmission event is considered as valid by all nodes in the blockchain network, so that the transmission event is embedded into the blockchain as a new block at this time, forming a permanent and transparent transaction record, and making the transmission record "the user terminal sends the medical image transmission data to the artificial intelligence service center" traceable and not falsifiable.

Further, in some embodiments, in order to enhance the security during the data transmission process, the user terminal first encrypts the medical image data before sending the medical image transmission data to the artificial intelligence service center, and then sends the information obtained after encryption to the artificial intelligence service center through the blockchain network. The specific implementation of the encryption processing may be:

(1) and carrying out Hash operation on the medical image transmission data to be sent to obtain a message abstract corresponding to the medical image transmission data. According to the characteristic of the hash operation, the obtained message digest uniquely corresponds to the medical image transmission data, and whether the medical image transmission data received by the artificial intelligence service center is tampered or not can be conveniently verified through the message digest.

(2) And encrypting the message digest by adopting a private key of the user terminal to obtain a digital signature of the message digest. The process of encrypting the message digest can be implemented by using a public key encryption algorithm (RSA), and the digital signature can indicate that the message digest is originated from the user terminal.

(3) And encrypting the medical image transmission data, the digital signature and the public key of the user terminal by adopting a symmetric key to obtain encrypted information. The public key of the user terminal can be used for decrypting the digital signature to obtain a message digest corresponding to the medical image transmission data in the user terminal, so that whether the medical image transmission data is tampered in the transmission process can be conveniently identified; meanwhile, the encrypted information including the public key of the user terminal can be convenient for an artificial intelligence service center to determine the sending end of the medical image transmission data.

(4) And encrypting the symmetric key by adopting a public key of an artificial intelligence service center to obtain the digital envelope. The public key and the private key of the artificial intelligence service center are a pair of keys, and the digital envelope can be decrypted through the private key of the artificial intelligence service center.

In this embodiment, not only the medical image transmission data to be transmitted is encrypted, but also the encrypted information is encapsulated in a digital envelope manner, so that the security of medical information transmission can be further enhanced.

In addition, when the artificial intelligence service center receives the medical image transmission data through the blockchain network and generates a medical image auxiliary medical record according to the medical image transmission data, the medical image auxiliary medical record can be returned to any node of the appointed blockchain network according to preset regulations.

Because the encrypted information received by the artificial intelligence service center comprises the public key for sending the user terminal, if the artificial intelligence service center defaults to set the generated medical image auxiliary medical record to be returned to the user terminal for sending the medical image transmission data, the data processing amount of the artificial intelligence service center can be reduced, and meanwhile, a doctor can conveniently and directly look up the medical image auxiliary medical record of a patient at the user terminal. Based on this, in some embodiments, the method further comprises: and receiving the medical image auxiliary medical record returned by the artificial intelligence service center through the block chain network. In some embodiments, the medical image transmission data is generated according to the medical image and the identifier, and the patient information is removed, so that the medical image auxiliary medical record returned by the artificial intelligence service center does not contain any patient information. At this time, after receiving the medical image assistant medical record through the blockchain network, the method further includes: extracting an identifier in the medical image auxiliary medical record, and matching patient information according to the identifier; and writing the patient information into the medical image auxiliary medical record to obtain the medical image auxiliary medical record comprising the patient information. For example: and extracting a hash value from a field which is allowed to be defined by a manufacturer and stored in a DICOM Tag value field of the returned medical image auxiliary medical record, matching the hash value with the patient information cached in the local, finding out a DICOM Tag value which is uniquely corresponding to the hash value and is related to the patient information, and rewriting the DICOM Tag values into the medical image data to form the medical image auxiliary medical record comprising the patient information.

Further, in other embodiments, the method further comprises: and sending the complete medical image auxiliary medical record through the internal network of the hospital. In this embodiment, when the doctor finds that the medical image assistant medical record has a reference value, the medical image assistant medical record may be sent to a medical information system for reference by other doctors, so that the other doctors can determine the medical condition of the patient with reference to the medical image assistant medical record of the same patient.

According to the technical scheme, the method for processing the medical image transmission data applied to the user terminal has the advantages that: the medical image transmission data are sent to the artificial intelligent service center through the blockchain network, so that the transmission event can form a permanent, transparent and non-falsifiable transaction record in the blockchain, the transmission of the medical information can be traced, and the safety of sending the medical image transmission data to the artificial intelligent service center is guaranteed. In addition, original medical image data are desensitized to generate medical image transmission data, so that privacy and safety of patients can be guaranteed; the security of the transmission event can be further improved by encrypting the medical image transmission data before the medical image transmission data is sent; by using the user terminal to receive the medical image auxiliary medical record returned by the artificial intelligent service center, the data processing amount of the artificial intelligent service center can be reduced, and a doctor can conveniently check the medical image auxiliary medical record; by further sending the medical image auxiliary medical record through the internal network of the hospital, other doctors can judge the illness state of the patient under the condition of referring to the medical image auxiliary medical record of the same patient.

Fig. 4 is a schematic flow chart of a processing method of medical image transmission data applied to an artificial intelligence service center according to an embodiment of the present invention, please refer to fig. 4, where the method includes:

s210, receiving medical image transmission data sent by a user terminal through a block chain network.

In the embodiment of the present invention, the "user terminal" may be any device in the same blockchain network as the artificial intelligence service center. When a transmission event that a user terminal broadcasts medical image transmission data to be sent to an artificial intelligence service center by the user terminal in a block chain network is received, authorization and authentication are carried out on the transmission event; and when the transmission event obtains the authorization response of all the nodes of the block chain network, receiving the medical image transmission data.

In some embodiments, in order to enhance the security during the data transmission process, the user terminal firstly encrypts the medical image data before sending the medical image transmission data to the artificial intelligence service center, and then sends the information obtained after encryption to the artificial intelligence service center through the blockchain network. Therefore, in this embodiment, the information actually subjected to encryption processing (i.e. the digital envelope and the encrypted information) received by the intelligent service center through the blockchain network needs to be decrypted in order to obtain the medical image transmission data sent by the user terminal, and this step specifically includes:

(1) a digital envelope and encrypted information are received. Wherein the digital envelope includes a symmetric key for decrypting the encrypted information; the encrypted information comprises medical image transmission data, a public key of a user terminal and a digital signature, the public key of the user terminal is used for decrypting the digital signature, the digital signature comprises an original message digest sent by the user terminal, and the original message digest is obtained by performing hash operation on the original medical image transmission data.

(2) And decrypting the digital envelope according to the private key of the artificial intelligence service center to obtain the symmetric key.

(3) And decrypting the encrypted information according to the symmetric key to obtain the medical image transmission data, the public key of the user terminal and the digital signature.

(4) And decrypting the digital signature according to the public key of the user terminal to obtain the original message digest.

(5) And carrying out Hash operation on the medical image transmission data to obtain a message abstract corresponding to the medical image transmission data. It should be noted that the hash operation performed here is the same as the hash operation performed by the user terminal on the original medical image transmission data.

(6) And judging whether the original message abstract and the message abstract are consistent, if so, entering the step S220, otherwise, ending the process and returning a prompt of information error to the user terminal.

And S220, generating a medical image auxiliary medical record according to the medical image transmission data.

In the embodiment of the present invention, the medical image assistant medical calendar is generated according to the received medical image transmission data by using the function of the artificial intelligence service center, and the specific implementation manner may be: firstly, an auxiliary diagnosis suggestion matched with the medical image is generated according to the medical image in the medical image transmission data, and then a medical image auxiliary diagnosis medical record is generated according to the medical image and the auxiliary diagnosis suggestion.

In some embodiments, after the medical image transmission data is analyzed and the medical image auxiliary diagnosis suggestion is generated, the medical image auxiliary diagnosis suggestion is stored as an image in a DICOM format and attached to the medical image, so as to generate a medical image auxiliary diagnosis calendar. The DICOM image can be generated by img2dcm function of OFFIS DCMTK open source software package, and attached to medical image. In the embodiment, the medical image auxiliary diagnosis suggestion is stored in a DICOM format and is attached to the medical image, so that doctors and remote experts in departments at all levels can conveniently and accurately understand the medical image auxiliary diagnosis suggestion, and meanwhile, the problem that the medical image does not support Chinese input is avoided.

And S230, sending the medical image auxiliary medical record through the block chain network.

In the embodiment of the invention, after the artificial intelligence service center generates the medical image auxiliary medical record, the medical image auxiliary medical record can be sent through the blockchain network according to the preset rule. Wherein the preset rule may be: the default is that the generated medical image auxiliary diagnosis disease calendar is returned to the user terminal which sends the medical image transmission data; or, all the medical image assistant medical histories can be sent to the designated node, such as: medical image information systems of hospitals; alternatively, the generated medical image assistant medical record may be sent to a plurality of designated nodes. In addition, the specific implementation of sending the medical image medical record through the blockchain network is similar to the step S120 in the above embodiment, and will not be described here again.

According to the technical scheme, the method for processing the medical image transmission data applied to the artificial intelligence service center has the advantages that: the block chain network receives medical image transmission data sent by the user terminal and sends the generated medical image auxiliary medical record, so that the medical image data can be prevented from being transmitted, data information is prevented from being tampered in the process of acquiring the medical image auxiliary medical record, meanwhile, the whole process of information transmission has traceability, and the safety performance of information transmission is improved. Moreover, the medical image auxiliary diagnosis suggestion is stored as an image in a DICOM format and is attached to the medical image, so that doctors and remote experts in departments at all levels can conveniently and accurately understand the medical image auxiliary diagnosis suggestion.

Fig. 5 is a schematic structural diagram of a processing apparatus for medical image transmission data according to an embodiment of the present invention, referring to fig. 5, the apparatus 5 includes:

a medical image transmission data generation unit 51 configured to generate medical image transmission data in response to a request for generating a medical image support medical record;

a medical image transmission data sending unit 52, configured to send the medical image transmission data to the artificial intelligence service center through the blockchain network.

In the embodiment of the present invention, when a request for generating a medical image auxiliary medical record is received, medical image transmission data is generated by the medical image transmission data generating unit 51; the medical image transmission data is then sent to the artificial intelligence service center via the blockchain network by the medical image transmission data sending unit 52.

The medical image transmission data transmitting unit 52 includes: a medical image transmission event registration module 521 and a medical image transmission data transmission module 522. Broadcasting a transmission event for transmitting the medical image transmission data from the user terminal to an artificial intelligence service center to all nodes of a block chain network through a medical image transmission event registration module 521; when the transmission event obtains the authorization response of all the nodes, the medical image transmission data is sent to the artificial intelligence service center through the medical image transmission data sending module 522. Further, in some embodiments, in order to further improve the safety performance of the medical information transmission, the medical image transmission data sending unit 52 further includes: an encryption module 523. Performing hash operation on the medical image transmission data through the encryption module 523 to obtain a message digest corresponding to the medical image transmission data; encrypting the message digest by adopting a private key of the user terminal to obtain a digital signature of the message digest; encrypting the medical image transmission data, the digital signature and a public key of the user terminal by adopting a symmetric key to obtain encrypted information; and encrypting the symmetric key by adopting a public key of an artificial intelligence service center to obtain the digital envelope. In this embodiment, the medical image transmission data sending module 522 is specifically configured to: and sending the encrypted information and the digital envelope to an artificial intelligent service center.

In order to protect the privacy and security of the patient, the medical image transmission data generation unit 51 includes: a data desensitization module 511 configured to perform data desensitization on medical image data of a patient to obtain patient information, a medical image, and an identifier uniquely corresponding to the patient information; and a medical image transmission data generating module 512 for generating medical image transmission data according to the medical image and the identifier, and caching the patient information in a local medical image transmission data. Specifically, the data desensitization module 511 is specifically configured to extract patient information from medical image data, obtain a medical image and patient information, and generate an identifier uniquely corresponding to the patient information according to the patient information. The step of generating an identifier uniquely corresponding to the patient information according to the patient information specifically includes: and carrying out hash calculation on the patient information to generate a unique hash value, wherein the hash value is the identifier uniquely corresponding to the patient information.

Furthermore, in some embodiments, the apparatus 5 further comprises: a medical record receiving unit 53, configured to receive the medical image medical record through the blockchain network; extracting an identifier in the medical image auxiliary medical record, and matching patient information according to the identifier; and writing the patient information into the medical image auxiliary medical record to obtain the medical image auxiliary medical record comprising the patient information. Further, in other embodiments, in order to enable more doctors to review the medical image assistant medical calendar, the apparatus 5 further comprises: a second assistant medical record sending unit 54 for sending the medical image assistant medical record including the patient information through the internal network of the hospital.

According to the technical scheme, the processing device for medical image transmission data provided by the embodiment of the invention has the beneficial effects that: the medical image transmission data sending unit is used for sending the medical image transmission data to the artificial intelligent service center through the block chain network, so that the transmission event can form a permanent, transparent and non-falsifiable transaction record in the block chain, the transmission of the medical information can be traced, and the safety of sending the medical image transmission data to the artificial intelligent service center is guaranteed. In addition, the original medical image data is desensitized in the medical image transmission data generation unit to generate medical image transmission data, so that the privacy and safety of a patient can be guaranteed; the medical image transmission data is encrypted by the encryption module before being sent, so that the security of the transmission event can be further improved; the auxiliary medical image medical record returned by the artificial intelligent service center is received by the auxiliary medical record receiving unit, so that the data processing amount of the artificial intelligent service center can be reduced, and a doctor can conveniently check the auxiliary medical image medical record; the medical image auxiliary medical record is sent in the internal network of the hospital through the second auxiliary medical record sending unit, so that other doctors can judge the illness state of the patient under the condition of referring to the medical image auxiliary medical record of the same patient.

Fig. 6 is a schematic structural diagram of a processing apparatus for medical image transmission data according to another embodiment of the present invention, please refer to fig. 6, in which the apparatus 6 includes:

a medical image transmission data receiving unit 61, configured to receive medical image transmission data sent by a user terminal through a blockchain network;

an auxiliary medical record generation unit 62, configured to generate a medical image auxiliary medical record according to the medical image transmission data;

a first auxiliary medical record sending unit 63, configured to send the medical image auxiliary medical record through the blockchain network.

In the embodiment of the present invention, first, a medical image transmission data receiving unit 61 is used to receive medical image transmission data sent by a user terminal through a blockchain network; then, a medical image auxiliary medical record is generated in an auxiliary medical record generating unit 62 according to the medical image transmission data; and finally, the medical image auxiliary medical record is sent through the block chain network by using a first auxiliary medical record sending unit 63.

The medical image transmission data receiving unit 61 includes: an authorization and authentication module 611 and a medical image transmission data receiving module 612. Authorizing and authenticating a transmission event, which is broadcasted by a user terminal in a blockchain network and is transmitted by the user terminal to the artificial intelligence service center, of medical image transmission data through an authorization and authentication module 611; the medical image transmission data is received by the medical image transmission data receiving module 612 when the transmission event obtains the authorization response of all the nodes of the blockchain network. Further, in some embodiments, in order to enhance the security during the data transmission process, the user terminal firstly encrypts the medical image data before sending the medical image transmission data to the artificial intelligence service center, and then sends the information obtained after encryption to the artificial intelligence service center through the blockchain network. Therefore, in this embodiment, the medical image transmission data receiving module 612 is specifically configured to: receiving the digital envelope and the encrypted information; wherein the digital envelope includes a symmetric key for decrypting the encrypted information; the encrypted information comprises medical image transmission data, a public key of a user terminal and a digital signature, wherein the public key of the user terminal is used for decrypting the digital signature, the digital signature comprises an original message digest of the original medical image transmission data sent by the user terminal, and the original message digest is obtained by performing hash operation on the original medical image transmission data; decrypting the digital envelope according to a private key of the artificial intelligence service center to obtain the symmetric key; decrypting the encrypted information according to the symmetric key to obtain the medical image transmission data, the public key of the user terminal and the digital signature; decrypting the digital signature according to the public key of the user terminal to obtain the original message digest; performing hash operation on the medical image transmission data to obtain a message abstract corresponding to the medical image transmission data; and judging whether the original message abstract and the message abstract are consistent, if so, generating a medical image auxiliary medical record according to the medical image transmission data through the auxiliary medical record generation unit 62.

In some embodiments, the assistant medical record generating unit 62 is specifically configured to: analyzing the medical image transmission data and generating a medical image auxiliary diagnosis suggestion; and storing the medical image auxiliary diagnosis suggestion as an image in a DICOM format and adding the image to the medical image, thereby generating a medical image auxiliary diagnosis medical calendar. In the embodiment, the medical image auxiliary diagnosis suggestion is stored as an image in a DICOM format and attached to the medical image, so that doctors and remote experts in departments at all levels can conveniently and accurately understand the medical image auxiliary diagnosis suggestion.

According to the technical scheme, the processing device for medical image transmission data provided by the embodiment of the invention has the beneficial effects that: by respectively utilizing the medical image transmission data receiving unit and the first auxiliary diagnosis case history sending unit to receive the medical image transmission data sent by the user terminal through the block chain network and send the generated medical image auxiliary diagnosis case history, the medical image data can be prevented from being transmitted and the data information is prevented from being falsified in the process of obtaining the medical image auxiliary diagnosis case history, meanwhile, the whole process of information transmission has traceability, and the safety performance of information transmission is improved. Moreover, the medical image auxiliary diagnosis suggestion is stored in the auxiliary diagnosis medical calendar generating unit as an image in a DICOM format and is attached to the medical image, so that doctors and remote experts in departments at all levels can conveniently and accurately understand the medical image auxiliary diagnosis suggestion.

It should be noted that, for the information interaction, execution process and other contents between the modules and units in the apparatus, the specific contents may refer to the description in the embodiment of the method of the present invention because the same concept is based on the embodiment of the method of the present invention, and are not described herein again.

Fig. 7 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention, please refer to fig. 7, where the electronic device 7 is capable of executing the processing method of medical image transmission data applied to a user terminal, which may be any suitable user terminal in the same blockchain network as the artificial intelligence service center, such as: smart robots, robotic assistants, PDAs, personal computers, tablet computers, smart phones, wearable smart devices, and the like.

Specifically, as shown in fig. 7, the electronic apparatus 7 includes: one or more processors 710 and a memory 720, one processor 710 being illustrated in fig. 7.

The processor 710 and the memory 720 may be connected by a bus or other means, and fig. 7 illustrates the connection by a bus as an example.

The memory 720 is a non-volatile computer-readable storage medium, and can be used for storing non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules corresponding to the processing method of medical image transmission data applied to the user terminal in the embodiment of the present invention (for example, the medical image transmission data generation unit 51, the medical image transmission data transmission unit 52, the assistant medical records reception unit 53, and the second assistant medical records transmission unit 54 shown in fig. 5). The processor 710 executes various functional applications and data processing of the server by executing the nonvolatile software program, instructions and modules stored in the memory 720, that is, implements the processing method of the medical image transmission data applied to the user terminal in the above method embodiment.

The memory 720 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of a processing device that transmits data according to medical images, and the like. Further, the memory 720 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 embodiments, the memory 720 may optionally include a memory remotely located from the processor 710, and these remote memories may be connected to a processing device of the medical image transmission data through a specific network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The one or more modules are stored in the memory 720, and when being executed by the one or more processors 710, the method for processing medical image transmission data applied to a user terminal in any of the above-described method embodiments may be performed.

Embodiments of the present invention further provide a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, which are executed by one or more processors, for example, one processor 710 in fig. 7, so that the one or more processors may perform the processing method applied to medical image transmission data of a user terminal in the foregoing method embodiments, for example, perform the method steps S110 to S120 in fig. 2 and the method steps S111 to S112 in fig. 3 described above, and implement the functions of the units 51 to 54 in fig. 5.

Embodiments of the present invention further provide a computer program product comprising a computer program stored on a non-volatile computer-readable storage medium, the computer program comprising program instructions that, when executed by a computer, cause the computer to perform the method for processing medical image transmission data applied to a user terminal in any of the above-described method embodiments, for example, perform the above-described method steps S110 to S120 in fig. 2, and the method steps S111 to S112 in fig. 3, to implement the functions of the units 51 to 54 in fig. 5.

The product can execute the processing method of the medical image transmission data applied to the user terminal, and has the corresponding functional modules and beneficial effects of the execution method. For details of the medical image transmission data processing method applied to the user terminal provided by the embodiment of the present invention, reference may be made to the technical details not described in detail in the embodiment of the present invention.

The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; within the idea of the invention, also technical features in the above embodiments or in different embodiments may be combined, steps may be implemented in any order, and there are many other variations of the different aspects of the invention as described above, which are not provided in detail for the sake of brevity; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A processing method of medical image transmission data is applied to a user terminal, and is characterized by comprising the following steps:

sending the medical image transmission data to an artificial intelligent service center through a block chain network;

wherein before the step of sending the medical image transmission data to the artificial intelligence service center, the method further comprises:

performing hash operation on the medical image transmission data to obtain a message abstract corresponding to the medical image transmission data;

encrypting the message digest by adopting a private key of the user terminal to obtain a digital signature of the message digest;

encrypting the medical image transmission data, the digital signature and a public key of the user terminal by adopting a symmetric key to obtain encrypted information;

encrypting the symmetric key by adopting a public key of an artificial intelligence service center to obtain a digital envelope;

then, the sending the medical image transmission data to the artificial intelligence service center includes:

and sending the encrypted information and the digital envelope to an artificial intelligent service center.

2. The method of claim 1, wherein sending the medical image transmission data to an artificial intelligence service center via a blockchain network comprises:

broadcasting a transmission event of the medical image transmission data sent to the artificial intelligence service center by the user terminal to all nodes of a block chain network;

and when the transmission event obtains the authorized responses of all the nodes, sending the medical image transmission data to the artificial intelligence service center.

3. The method according to any one of claims 1-2, wherein the generating medical image transmission data comprises:

carrying out data desensitization treatment on medical image data of a patient to obtain patient information, medical images and an identifier uniquely corresponding to the patient information;

and generating medical image transmission data according to the medical image and the identifier, and caching the patient information locally.

4. The method of claim 3, wherein performing data desensitization on medical image data of a patient to obtain patient information, medical images, and an identifier that uniquely corresponds to the patient information comprises:

extracting patient information from the medical image data to obtain a medical image and the patient information;

and generating an identifier uniquely corresponding to the patient information according to the patient information.

5. The method of claim 4, wherein generating an identification from the patient information that uniquely corresponds to the patient information comprises:

and carrying out hash calculation on the patient information to generate a unique hash value, wherein the hash value is the identifier uniquely corresponding to the patient information.

6. The method of claim 3, further comprising:

receiving medical image auxiliary medical records returned by the artificial intelligence service center through the block chain network;

extracting an identifier in the medical image auxiliary medical record, and matching patient information according to the identifier;

and writing the patient information into the medical image auxiliary medical record to obtain the medical image auxiliary medical record comprising the patient information.

7. The method of claim 6, further comprising:

and sending the medical image auxiliary medical record including the patient information through an internal network of the hospital.

8. A processing method of medical image transmission data is applied to an artificial intelligence service center, and is characterized by comprising the following steps:

sending the medical image auxiliary medical record through the block chain network;

wherein the receiving the medical image transmission data comprises:

receiving the digital envelope and the encrypted information; wherein the digital envelope includes a symmetric key for decrypting the encrypted information; the encrypted information comprises medical image transmission data, a public key of a user terminal and a digital signature, wherein the public key of the user terminal is used for decrypting the digital signature, the digital signature comprises an original message digest of the original medical image transmission data sent by the user terminal, and the original message digest is obtained by performing hash operation on the original medical image transmission data;

decrypting the digital envelope according to a private key of the artificial intelligence service center to obtain the symmetric key;

decrypting the encrypted information according to the symmetric key to obtain the medical image transmission data, the public key of the user terminal and the digital signature;

decrypting the digital signature according to the public key of the user terminal to obtain the original message digest;

and judging whether the original message abstract is consistent with the message abstract, if so, generating a medical image auxiliary diagnosis medical record according to the medical image transmission data.

9. The method according to claim 8, wherein the receiving the medical image transmission data sent by the user terminal through the blockchain network comprises:

authorizing and authenticating a transmission event which is broadcasted by a user terminal in a block chain network and is transmitted by the user terminal to the artificial intelligence service center, wherein the medical image transmission data is transmitted by the user terminal;

receiving the medical image transmission data when the transmission event obtains authorized responses of all nodes of the blockchain network.

10. The method of claim 8 or 9, wherein generating a medical image co-diagnosis medical calendar from the medical image transmission data comprises:

analyzing the medical image transmission data and generating a medical image auxiliary diagnosis suggestion;

and storing the medical image auxiliary diagnosis suggestion as an image in a DICOM format and adding the image to the medical image, thereby generating a medical image auxiliary diagnosis medical calendar.

11. A device for processing medical image transmission data, comprising:

the medical image transmission data sending unit is used for sending the medical image transmission data to the artificial intelligent service center through the block chain network;

wherein the medical image transmission data sending unit further comprises:

the encryption module is used for carrying out Hash operation on the medical image transmission data to obtain a message abstract corresponding to the medical image transmission data;

encrypting the message digest by adopting a private key of a user terminal to obtain a digital signature of the message digest;

then, the medical image transmission data sending module is specifically configured to:

12. The apparatus according to claim 11, wherein the medical image transmission data transmitting unit comprises:

a medical image transmission event registration module, configured to broadcast a transmission event that the user terminal sends the medical image transmission data to the artificial intelligence service center to all nodes of a block chain network;

and the medical image transmission data sending module is used for sending the medical image transmission data to the artificial intelligence service center when the transmission event obtains the authorization response of all the nodes.

13. The apparatus according to any one of claims 11-12, wherein the medical image transmission data generating unit comprises:

the data desensitization module is used for performing data desensitization treatment on medical image data of a patient to obtain patient information, medical images and an identifier uniquely corresponding to the patient information;

and the medical image transmission data generation module is used for generating medical image transmission data according to the medical image and the identifier and caching the patient information in the local.

14. The apparatus of claim 13, wherein the data desensitization module is specifically configured to:

15. The apparatus according to claim 14, wherein the generating of the identifier uniquely corresponding to the patient information according to the patient information is specifically:

16. The apparatus of claim 15, further comprising:

the auxiliary medical record receiving unit is used for receiving the medical image auxiliary medical record returned by the artificial intelligence service center through the block chain network; extracting an identifier in the medical image auxiliary medical record, and matching patient information according to the identifier; and writing the patient information into the medical image auxiliary medical record to obtain the medical image auxiliary medical record comprising the patient information.

17. The apparatus of claim 16, further comprising:

and the second auxiliary medical record sending unit is used for sending the medical image auxiliary medical record comprising the patient information through the internal network of the hospital.

18. A device for processing medical image transmission data, comprising:

the first auxiliary medical record sending unit is used for sending the medical image auxiliary medical record through the block chain network;

the medical image transmission data receiving module is specifically used for:

decrypting the digital envelope according to a private key of an artificial intelligence service center to obtain the symmetric key;

and judging whether the original message abstract and the message abstract are consistent, if so, generating a medical image auxiliary medical record according to the medical image transmission data through the auxiliary medical record generation unit.

19. The apparatus as claimed in claim 18, wherein the medical image transmission data receiving unit comprises:

the system comprises an authorization authentication module, a block chain network processing module and a data processing module, wherein the authorization authentication module is used for performing authorization authentication on a transmission event which is broadcasted by a user terminal in the block chain network and is transmitted by the user terminal to the artificial intelligence service center;

a medical image transmission data receiving module, configured to receive the medical image transmission data when the transmission event obtains authorized responses of all nodes of the blockchain network.

20. The apparatus according to claim 18 or 19, wherein the secondary clinical history generation unit is specifically configured to:

21. An electronic device, comprising:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the memory stores a program of instructions executable by the at least one processor to cause the at least one processor to perform the method of any one of claims 1-7.

22. A computer-readable storage medium having computer-executable instructions stored thereon for causing a computer to perform the method of any one of claims 1-7.