WO2018181824A1 - Dispositif de traitement d'informations, système, procédé de traitement d'informations, et programme - Google Patents

Dispositif de traitement d'informations, système, procédé de traitement d'informations, et programme Download PDF

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Publication number
WO2018181824A1
WO2018181824A1 PCT/JP2018/013479 JP2018013479W WO2018181824A1 WO 2018181824 A1 WO2018181824 A1 WO 2018181824A1 JP 2018013479 W JP2018013479 W JP 2018013479W WO 2018181824 A1 WO2018181824 A1 WO 2018181824A1
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data
information
medical material
information processing
regenerative medical
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PCT/JP2018/013479
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English (en)
Japanese (ja)
Inventor
八木　洋
大造 林田
濱田　謙一
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学校法人慶應義塾
Jsr株式会社
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Publication of WO2018181824A1 publication Critical patent/WO2018181824A1/fr

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    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61F—FILTERS IMPLANTABLE INTO BLOOD VESSELS; PROSTHESES; DEVICES PROVIDING PATENCY TO, OR PREVENTING COLLAPSING OF, TUBULAR STRUCTURES OF THE BODY, e.g. STENTS; ORTHOPAEDIC, NURSING OR CONTRACEPTIVE DEVICES; FOMENTATION; TREATMENT OR PROTECTION OF EYES OR EARS; BANDAGES, DRESSINGS OR ABSORBENT PADS; FIRST-AID KITS
    • A61F2/00—Filters implantable into blood vessels; Prostheses, i.e. artificial substitutes or replacements for parts of the body; Appliances for connecting them with the body; Devices providing patency to, or preventing collapsing of, tubular structures of the body, e.g. stents
    • A61F2/02—Prostheses implantable into the body
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61L—METHODS OR APPARATUS FOR STERILISING MATERIALS OR OBJECTS IN GENERAL; DISINFECTION, STERILISATION OR DEODORISATION OF AIR; CHEMICAL ASPECTS OF BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES; MATERIALS FOR BANDAGES, DRESSINGS, ABSORBENT PADS OR SURGICAL ARTICLES
    • A61L27/00—Materials for grafts or prostheses or for coating grafts or prostheses

Definitions

  • the present invention relates to an information processing apparatus, system, information processing method, and program.
  • Patent Document 1 discloses a technique for generating a scaffold composed of a three-dimensional porous hollow skeleton composed of a shaped body exhibiting biocompatibility and biodegradability using a three-dimensional printer.
  • An object of the present invention is to provide an information processing apparatus, system, information processing method, and program capable of generating an optimal regenerative medical material according to the situation.
  • the present invention joins a regenerative medical material representing a material for regenerating a living tissue of the internal organ in 3D data representing the internal organ.
  • a first acquisition unit that acquires input data including at least information related to the bonding surface, and generation that generates model data based on the input data when forming the regenerative medical material with a modeling apparatus And an information processing apparatus.
  • the present invention is a system including at least an information processing device and a modeling device for modeling a regenerative medical material indicating a material for reproducing a living tissue, and includes three-dimensional data representing an internal organ
  • a first acquisition unit that acquires input data including at least information on a bonding surface indicating a surface to which the regenerative medical material is bonded, and a source for modeling the regenerative medical material based on the input data
  • a generating unit that generates model data
  • a modeling unit that models the regenerative medical material based on the model data.
  • the present invention provides input data including at least information relating to a joining surface indicating a surface to which a regenerative medical material representing a material for regenerating a living tissue of the internal organ is included among the three-dimensional data representing the internal organ. It is an information processing method including a first acquisition step to be acquired and a generation step of generating model data as a base when the regenerative medical material is modeled by a modeling apparatus based on the input data.
  • the present invention includes at least information on a joint surface indicating a surface on which a regenerative medical material representing a material for regenerating the living tissue of the internal organ is included in the three-dimensional data representing the internal organ in the computer.
  • FIG. 1 is a diagram illustrating an example of a schematic configuration of a system according to an embodiment.
  • FIG. 2 is a diagram illustrating a hardware configuration example of the information processing apparatus according to the embodiment.
  • FIG. 3 is a diagram illustrating an example of the functions of the information processing apparatus according to the embodiment.
  • FIG. 4 is a diagram illustrating an example of a screen on which three-dimensional data representing the liver is displayed.
  • FIG. 5 is a diagram illustrating a state in which information indicating the input joint surface is displayed superimposed on the three-dimensional data.
  • FIG. 6 is a diagram illustrating an example of a screen on which the bonded three-dimensional data is displayed.
  • FIG. 7 is a flowchart illustrating an operation example of the information processing apparatus according to the embodiment.
  • FIG. 8 is a diagram illustrating an example of functions of the information processing apparatus according to the modification.
  • FIG. 1 is a diagram illustrating an example of a schematic configuration of a system 1 according to the present embodiment.
  • the system 1 of the present embodiment includes a medical diagnostic apparatus 10, an information processing apparatus 20, and a modeling apparatus 30.
  • the medical diagnostic apparatus 10 includes a medical image diagnostic apparatus 11, an ultrasonic diagnostic apparatus 12, and a biochemical diagnostic apparatus 13.
  • the medical image diagnostic apparatus 11 is an apparatus that generates a three-dimensional data (three-dimensional image) by imagining a portion that is not normally visible without damaging the human body.
  • the medical image diagnostic apparatus 11 includes an X-ray CT apparatus, an MRI, or the like.
  • the medical image diagnostic apparatus 11 generates three-dimensional volume data (an example of three-dimensional data) in which tomographic images (slice images) of internal organs of a patient are stacked, the generated three-dimensional data, and the three-dimensional data
  • the patient ID for identifying the patient corresponding to the data is linked to the information processing apparatus 20.
  • the medical image diagnostic apparatus 11 will be described by taking, as an example, a case in which three-dimensional data representing the liver of the patient is generated for each of a plurality of patients.
  • the types of internal organs that can be generated are arbitrary and are not limited to the liver.
  • Examples of internal organs include, for example, digestive system such as liver, pancreas, stomach, small intestine and large intestine, circulatory system such as heart, spleen and blood vessel, respiratory system such as lung, urinary system such as kidney and bladder, adrenal gland And endocrine system.
  • the ultrasonic diagnostic apparatus 12 is an apparatus that can measure the hardness of a patient's internal organs using an ultrasonic pulse propagated to an object.
  • the ultrasound diagnostic apparatus 12 generates first data indicating the hardness of the patient's liver, and links the generated first data and the patient ID to the information processing apparatus 20.
  • a configuration in which the hardness of a patient's internal organs is measured using MRI may be used.
  • the above-described medical image diagnostic apparatus 11 may also serve as a function of measuring the hardness of the internal organs of the patient without providing the ultrasonic diagnostic apparatus 12.
  • the biochemical diagnostic device 13 can measure data related to biochemical information such as protein, sugar, lipid, enzyme, electrolyte, etc. of patients (typically the amount of protein, sugar, lipid, enzyme, electrolyte, etc. in blood). Device.
  • the biochemical diagnostic device 13 generates second data indicating data relating to the biochemical information of the patient, and associates the generated second data with the patient ID and passes the data to the information processing device 20.
  • the biochemical diagnostic apparatus 13 may be configured to measure the hardness of the internal organs of the patient using the biochemical information. That is, the above-described biochemical diagnostic device 13 may also serve as a function of measuring the hardness of the internal organs of the patient without providing the ultrasonic diagnostic device 12.
  • the information processing apparatus 20 collects the above-described various data (three-dimensional data, first data, and second data) from the medical diagnostic apparatus 10 and represents the liver for each of a plurality of patients (for each patient ID).
  • the three-dimensional data, the first data indicating the hardness of the liver, and the second data relating to the biochemical information of the patient are managed (saved) in association with each other.
  • the information processing device 20 displays three-dimensional data representing the liver of the selected patient in response to an operation of a user (here, a doctor, an engineer, etc.), and in response to an input to the three-dimensional data, In addition to generating model data as a base for modeling a regenerative medical material for regenerating a living tissue (cell group), materials and additives of the regenerative medical material are determined. Details of this will be described later. Then, the information processing apparatus 20 passes model data information including the generated model data and information indicating each of the determined material and additive to the modeling apparatus 30.
  • the modeling apparatus 30 includes a modeling unit 31 that models a regenerative medical material based on the model data information received from the information processing apparatus 20.
  • the modeling unit 31 includes a hardware element group for providing a function of a three-dimensional printer (3D-Printer).
  • the configuration of the modeling unit 31 for providing the function of the three-dimensional printer can be realized by various known configurations.
  • the modeling unit 31 includes a nozzle for discharging a material that has been heated and melted to have a desired temperature and pressure, a moving mechanism for moving the nozzle in a three-dimensional direction, and a pattern having a desired shape by the material discharged from the nozzle. It includes a modeling stage on which layers are formed, a control unit that controls each unit, and the like.
  • the modeling unit 31 models a three-dimensional structure corresponding to the model data by repeatedly laminating pattern layers based on the model data.
  • One pattern layer is formed based on one tomographic image corresponding to the same position as the one pattern layer among the plurality of tomographic images constituting the model data.
  • FIG. 2 is a diagram illustrating an example of a hardware configuration of the information processing apparatus 20.
  • the information processing apparatus 20 includes a CPU (Central Processing Unit) 21, a ROM (Read Only Memory) 22, a RAM (Random Access Memory) 23, an auxiliary storage device 24, and an input device 25.
  • the display device 26 and an external I / F 27 are provided.
  • the CPU 21 executes the program to comprehensively control the operation of the information processing apparatus 20 and realize various functions of the information processing apparatus 20. Various functions of the information processing apparatus 20 will be described later.
  • the ROM 22 is a non-volatile memory, and stores various data (information written at the manufacturing stage of the information processing apparatus 20) including a program for starting the information processing apparatus 20.
  • the RAM 23 is a volatile memory having a work area for the CPU 21.
  • the auxiliary storage device 24 stores various data such as a program executed by the CPU 21.
  • the auxiliary storage device 24 is composed of, for example, an HDD (Hard Disc Drive).
  • the input device 25 is a device for a user who uses the information processing device 20 (here, a doctor, a technician, etc.) to perform various operations.
  • the input device 25 includes, for example, a mouse, a keyboard, a touch panel, or hardware keys.
  • the display device 26 displays various information including three-dimensional data of the liver for each patient.
  • the display device 26 is configured by, for example, a liquid crystal display, an organic EL (Electro Luminescence) display, or a cathode ray tube display.
  • the input device 25 and the display device 26 may be integrally configured in a form such as a touch panel.
  • the external I / F 27 is an interface for connecting (communication) with an external apparatus such as the medical diagnostic apparatus 10 (medical image diagnostic apparatus 11, ultrasonic diagnostic apparatus 12, biochemical diagnostic apparatus 13) or modeling apparatus 30.
  • an external apparatus such as the medical diagnostic apparatus 10 (medical image diagnostic apparatus 11, ultrasonic diagnostic apparatus 12, biochemical diagnostic apparatus 13) or modeling apparatus 30.
  • FIG. 3 is a diagram illustrating an example of functions of the information processing apparatus 20.
  • the information processing apparatus 20 includes a storage unit 201, a user interface unit 202, a first acquisition unit 203, a generation unit 204, a second acquisition unit 205, a determination unit 206, and an output unit 207.
  • the storage unit 201 stores various data acquired from the medical diagnostic apparatus 10.
  • the storage unit 201 stores, for each of a plurality of patients (for each patient ID), three-dimensional data representing the liver, first data indicating the hardness of the liver, and data regarding the biochemical information of the patient.
  • the association information associated with the second data to be shown is stored at least.
  • the storage unit 201 is realized by, for example, the auxiliary storage device 24 (for example, HDD) shown in FIG.
  • the user interface unit 202 has a function of accepting user input and a function of displaying various types of information.
  • the user interface unit 202 that has received the operation reads out the corresponding three-dimensional data from the storage unit 201 and displays it on the display device 26.
  • FIG. 4 is a diagram illustrating an example of a screen (screen displayed on the display device 26) on which three-dimensional data representing the liver is displayed.
  • the user performs an operation for inputting a joint surface indicating a surface on which the regenerative medical material is to be joined, while checking the three-dimensional data of the liver displayed on the display device 26.
  • the user interface unit 202 accepts the input.
  • the “surface to remove the original internal organ officer” is Although it becomes a “joint surface”, the form of the “joint surface” is not limited to this. For example, it is conceivable to add a living tissue without excising the original internal organ. In this case, of the original internal organ officers, the surface to which the biological tissue to be added is connected becomes the “joint surface”.
  • the user interface unit 202 can superimpose and display the input information indicating the joint surface on the three-dimensional data.
  • the screen shown in FIG. 4 is a screen in which the entire three-dimensional data representing the liver is displayed and the joint surface can be input.
  • this screen may be referred to as an “input screen”.
  • the user performs an operation for inputting the volume of the regenerative medical material to be created in the state where the screen of FIG. 4 is displayed, and the user interface unit 202 receives the input.
  • the user interface unit 202 has a function (a function of “accepting unit”) that accepts an input of a joint surface for three-dimensional data representing a liver and an input of a volume of a regenerative medical material. Yes. Furthermore, in this example, the user interface unit 202 also has a function of accepting input of biometric information indicating at least one of the age, sex, weight, and height of a person (patient).
  • the first acquisition unit 203 acquires input data including at least information on the above-described joint surface among the three-dimensional data representing the liver.
  • the input data includes information on the joint surface, volume data indicating the volume of the regenerative medical material, and internal structure data for specifying the internal structure of the regenerative medical material.
  • the information on the joint surface described above includes at least the area and shape of the joint surface.
  • the information on the joint surface further includes the position of the blood vessel on the joint surface.
  • the internal structure data described above includes at least the porosity of the regenerative medical material.
  • the 1st acquisition part 203 is based on the input (In this example, the input of a joint surface, the input of the volume of a regenerative medical material, and the input of biometric information) received by the user interface part 202 (acceptance part). To generate and acquire input data.
  • the first acquisition unit 203 includes the area and shape of the cross section corresponding to the joint surface received by the user interface unit 202 in the three-dimensional data displayed on the input screen (the position of the blood vessel as necessary). Is identified. And the information which shows the area and shape (position of the blood vessel as needed) of the specified section is acquired as information about a joint surface.
  • the acquisition method of the information regarding a joint surface is not restricted to this. For example, it may be a form in which information on the joint surface is automatically acquired using the internal organ officer's three-dimensional analysis software.
  • the 3D analysis software can reproduce the whole image of the internal organ officer, the cut surface by the operation, the state after the cut, and the area and shape of the cut surface. Can be automatically extracted.
  • the three-dimensional analysis software can automatically generate information indicating the area and shape of the cut surface extracted in this manner as information on the joint surface.
  • the function of the first acquisition unit 203 may be provided by the above-described three-dimensional analysis software.
  • the first acquisition unit 203 generates volume data indicating the volume (volume of the regenerative medical material) received by the user interface unit 202.
  • the first acquisition unit 203 in this example is based on the input received by the user interface unit 202 and a plurality of sample data (three-dimensional data) representing a normal liver prepared in advance. Generate material internal structure data.
  • the plurality of sample data is associated with biological information such as the age, sex, weight, and height of a person (patient) and stored in advance in the storage unit 201 or the like. For example, by machine learning based on the plurality of sample data, the combination of the area and shape of the excised surface of the liver, the volume data of the part to be excised, and biometric information is input, and it corresponds to the biometric information of each patient.
  • the learning model for outputting the porosity of the regenerative medical material to be generated may be constructed in advance.
  • the first acquisition unit 203 generates biometric information according to an input (input of biometric information) received by the user interface unit 202.
  • the first acquisition unit 203 uses the learning model, the first acquisition unit 203 generates the joint surface area and shape, volume data, biological information, and the like generated according to the input received by the user interface unit 202 as described above. It is possible to generate (calculate) the porosity corresponding to the combination.
  • the present invention is not limited to this, and for example, the porosity may be manually input.
  • the first acquisition unit 203 can acquire the porosity that is manually input via the user interface unit 202.
  • the learning model is not necessary.
  • the first acquisition unit 203 is based on the input received by the user interface unit 202 (in the above example, the input of the joint surface, the input of the volume of the regenerative medical material, and the input of the biological information). It is possible to generate input data including information on the joint surface, volume data indicating the volume of the regenerative medical material, and internal structure data for specifying the internal structure of the regenerative medical material.
  • the generation unit 204 Based on the input data acquired by the first acquisition unit 203, the generation unit 204 generates model data that is the basis for modeling the regenerative medical material with the modeling apparatus 30. For example, by machine learning based on a plurality of sample data representing a normal liver prepared in advance, the area and shape of the excision surface of the liver, volume data of the part to be excised, and the porosity of the regenerative medical material to be generated The learning model that outputs the skeleton data indicating the skeleton shape of the regenerative medical material to be generated may be configured in advance. In this case, the generation unit 204 can generate (calculate) skeleton data corresponding to the input data acquired by the first acquisition unit 203 using the learning model. The skeleton data generated in this way becomes model data.
  • the above-described input data does not include the void ratio, and by machine learning based on a plurality of sample data prepared in advance, the area and shape of the excision surface of the liver, and the volume data of the part to be excised A learning model that outputs the skeleton data may be constructed in advance.
  • the generation unit 204 generates (calculates) skeleton data corresponding to the input data (in this example, the porosity is not included) acquired by the first acquisition unit 203 using the learning model. Can do.
  • the method for generating the model data is not limited to this, and various methods known in the art of generating internal organ skeletons using an extracellular matrix can be used.
  • the user interface unit 202 includes three-dimensional data representing a state in which the model data generated by the generation unit 204 is joined to the original three-dimensional data (in the following description, “joined three-dimensional data”). Display on the display device 26.
  • FIG. 6 is a diagram illustrating an example of a screen on which the bonded three-dimensional data is displayed. In the following description, this screen may be referred to as a “model data preview screen”.
  • the user interface unit 202 is configured to display volume data indicating the remaining volume after excising a portion corresponding to the model data from the original three-dimensional data together with the above-described joint three-dimensional data. May be. It is also possible to display volume data indicating the volume of the entire three-dimensional data before excising the site corresponding to the model data or volume data indicating the volume of the excised site. Furthermore, based on a plurality of sample data representing a normal liver, normal liver volume data corresponding to biological information such as age, sex, weight, and height of each patient can be displayed. In some cases, the user confirms the joint three-dimensional data and the volume data, and as a result, may increase or decrease the volume of the model data (change the model data).
  • the user presses an operation for returning from the above-described model data preview screen to the above-described input screen (in this example, the screen shown in FIG. 4) (for example, a “return” button displayed on the model data preview screen). Operation etc.).
  • the user interface unit 202 performs control to display the above-described input screen again. Thereafter, the process until the model data as described above is generated and displayed is performed again.
  • the second acquisition unit 205 refers to the above-described association information (information obtained by associating at least the three-dimensional data representing the liver and the first data representing the hardness of the liver for each of a plurality of patients)
  • the first data associated with the three-dimensional data corresponding to the input data acquired by the first acquisition unit 203 (three-dimensional data that is the input target of the joint surface) is acquired.
  • the above-described association information associates, for each of a plurality of patients, three-dimensional data representing the liver, first data, and second data indicating data related to the patient's biochemical information.
  • the second acquisition unit 205 acquires the second data associated with the three-dimensional data corresponding to the input data acquired by the first acquisition unit 203 with reference to the association information. .
  • the determining unit 206 determines the material of the regenerative medical material according to the first data acquired by the second acquiring unit 205. For example, information indicating the correspondence between hardness and material (sometimes referred to as “first information” in the following description) is determined in advance based on experiments or the like, and the determination unit 206 determines the first information. Referring to, the material associated with the hardness indicated by the first data acquired by the second acquisition unit 205 can be determined as the material for the regenerative medical material.
  • the determination unit 206 determines an additive for promoting regeneration, which is added to the material of the regenerative medical material, according to the second data acquired by the second acquisition unit 205.
  • the second information information indicating a correspondence relationship between biochemical information (for example, protein components in blood, etc.) and an additive (varies depending on protein components) (hereinafter referred to as “second information” in some cases).
  • the determination unit 206 refers to the second information and associates it with the biochemical information indicated by the second data acquired by the second acquisition unit 205 with reference to the second information.
  • the added additive can be determined as an additive for promoting regeneration.
  • the output unit 207 outputs model data information including the model data generated by the generation unit 204 and the materials and additives of the regenerative medical material determined by the determination unit 206 to the modeling apparatus 30.
  • FIG. 7 is a flowchart showing an operation example of the information processing apparatus 20 of the present embodiment.
  • the above-described input screen is displayed on the display device 26 (assuming the state of FIG. 4).
  • the specific content of each step is as above-mentioned, detailed description is abbreviate
  • the user interface unit 202 receives an input of a joint surface for 3D data representing the liver and an input of a volume of a regenerative medical material (step S1).
  • the 1st acquisition part 203 produces
  • the specific contents are as described above.
  • the generation unit 204 generates model data based on the input data acquired in step S2 (step S3).
  • the second acquisition unit 205 acquires first data and second data associated with the three-dimensional data corresponding to the input data acquired in step S2 (step S4).
  • the determination unit 206 determines the material of the regenerative medical material according to the first data acquired at step S4, and determines the additive according to the second data acquired at step S4. (Step S5).
  • the output unit 207 outputs model data information including the model data generated in step S3 and information indicating each of the material and additive determined in step S5 to the modeling apparatus 30 (step) S6).
  • the information processing apparatus 20 uses the regenerative medical material indicating the material for regenerating the living tissue of the liver among the three-dimensional data representing the liver (an example of an internal organ).
  • Input data including at least information on the bonding surface indicating the surfaces to be bonded is acquired, and model data is generated based on the acquired input data. That is, since the regenerative medical material is generated by reflecting the information on the portion of the liver where the regenerative medical material is to be joined, it is possible to generate the optimal regenerative medical material according to the situation.
  • first data data indicating the hardness of the liver
  • second data data relating to patient biochemical information
  • first data data indicating the hardness of the liver
  • second data data relating to patient biochemical information
  • the present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the gist thereof in the implementation stage.
  • Various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the above-described embodiments. For example, some components may be deleted from all the components shown in the embodiment.
  • the above input data may be manually input. That is, the user interface unit 202 may receive the above-described input data input in response to a user operation, and the first acquisition unit 203 may acquire the received input data. In this case, the user of the information processing device 20 needs to perform an operation for inputting all information (information on the joint surface, volume data, internal structure data) constituting the above-described input data.
  • the first acquisition unit 203 calculates the porosity of the regenerative medical material to be created based on the input received by the user interface unit 202 and a plurality of sample data prepared in advance.
  • the present invention is not limited to this.
  • the void ratio may be generated by reflecting the first data described above (data indicating the hardness of the internal organs).
  • the first acquisition unit 203 uses the learning model to generate the joint surface area, shape, and volume data generated according to the input received by the user interface unit 202 as described above, and the second It is possible to generate (calculate) the porosity corresponding to the combination with the first data acquired by the acquisition unit 205.
  • the system 1 in the above-described embodiment is configured to include the medical diagnostic apparatus 10, the information processing apparatus 20, and the modeling apparatus 30.
  • the part including the information processing apparatus 20 and the modeling apparatus 30 may be considered as the system 1 of the present embodiment.
  • the system 1 of the present embodiment only needs to include at least the information processing device 20 described above and the modeling device 30 for modeling the regenerative medical material.
  • at least a part of the functions of the information processing apparatus 20 described above may be mounted on the modeling apparatus 30.
  • the system to which the present invention is applied includes at least the first acquisition unit 203 described above, the generation unit 204 described above, and the modeling unit 31 described above.
  • the modeling apparatus 30 can be arbitrarily provided.
  • the form provided in the modeling apparatus 30 may be sufficient as the above-mentioned production
  • Modification 4 it may be a form in which it is not necessary to input biometric information when determining the porosity.
  • the user interface unit 202 does not need a function of accepting input of patient biometric information.
  • a combination of the area and shape of the excision surface of the liver and the volume data of the part to be excised is input, and a regenerative medical material to be generated (in this example, it is excised)
  • the learning model that outputs the porosity of the regenerative medical material corresponding to the region to be reconstructed may be constructed in advance.
  • the first acquisition unit 203 uses this learning model, and the porosity corresponding to the combination of the area and shape of the joint surface and the volume data generated according to the input received by the user interface unit 202. Can be generated (calculated). That is, the user interface unit 202 (accepting unit) accepts the input of the joint surface with respect to the three-dimensional data representing the internal organs and the input of the volume of the regenerative medical material, and the first obtaining unit 203 is the user interface unit.
  • the input data may be generated and acquired based on the input received in 202 (in this example, the input of the joint surface and the input of the volume of the regenerative medical material).
  • the above-described input data may further include biometric information indicating at least one of age, sex, weight, and height.
  • the first acquisition unit 203 generates biometric information according to an input (input of biometric information) received by the user interface unit 202.
  • the input data acquired by the first acquisition unit 203 includes information on the joint surface, the volume data, the internal structure data, and the biological information.
  • the generation unit 204 Model data is generated based on the input data.
  • the generation unit 204 can generate (calculate) skeleton data corresponding to the input data acquired by the first acquisition unit 203 using the learning model.
  • the input data may be in a form further including biometric information indicating at least one of the age, sex, weight, and height of the patient. According to the present modification described above, it is possible to generate an optimal regenerative medical material according to the age, sex, weight, height, etc. of each patient.
  • the user interface unit 202 combines volume data indicating the remaining volume after excision and the hardness of the remaining internal organs (liver in this example) after excision together with the above-described joint three-dimensional data.
  • the volume data indicating the volume of the regenerative medical material required based on the data of 1 may be displayed (displayed on the above-described model data preview screen).
  • the doctor can correct the volume data indicating the volume of the regenerative medical material required according to the situation of the internal organs of the patient. Become.
  • the information processing apparatus 20 may further include a third acquisition unit 208.
  • the third acquisition unit 208 acquires third data indicating the above-described biological information.
  • the third acquisition unit 208 can also acquire biometric information received by the user interface unit 202 as third data.
  • the determination unit 206 determines the material of the regenerative medical material based on the first data acquired by the second acquisition unit 205 and the third data acquired by the third acquisition unit 208. can do.
  • information indicating a correspondence relationship between hardness, biological information, and material (sometimes referred to as “third information” in the following description) is determined in advance based on experiments or the like. Referring to the information, the association between the hardness indicated by the first data acquired by the second acquisition unit 205 and the biometric information indicated by the third data acquired by the third acquisition unit 208
  • the obtained material can be determined as a material for a regenerative medical material.
  • the determination unit 206 adds an additive for promoting regeneration according to the second data acquired by the second acquisition unit 205 and the third data acquired by the third acquisition unit 208. It can also be determined. For example, information indicating the correspondence between biochemical information, biological information, and additives (sometimes referred to as “fourth information” in the following description) is determined in advance based on experiments or the like. With reference to this fourth information, biochemical information indicated by the second data acquired by the second acquisition unit 205, and biological information indicated by the third data acquired by the third acquisition unit 208 The additive associated with the combination can be determined as an additive for promoting regeneration. According to the present modification described above, it is possible to generate an optimal regenerative medical material according to the age, sex, weight, height, etc. of each patient.
  • the generated model data may be processed.
  • the doctor confirms the model data (generated model data) displayed on the model data preview screen described above, and the internal organ officer is atrophied or expanded as compared with the normal state depending on the situation of the internal organ officer of the patient.
  • the enlargement ratio for enlarging to a size suitable for the internal organ officer of the healthy body or the reduction ratio for reduction is input, and the generation unit 204 outputs the fourth enlargement ratio or reduction ratio indicating the input enlargement ratio or reduction ratio.
  • the generated model data may be enlarged or reduced according to the data.
  • the doctor can determine the enlargement rate or reduction rate for making the size of the internal organs of the healthy body based on the biological information such as the age, sex, weight, and height of the patient. According to the present modification described above, it is possible to generate an optimal regenerative medical material according to the situation such as the age of each patient and the state of internal organs.
  • the program executed by the information processing apparatus 20 of the above-described embodiment is a file in an installable format or an executable format, and is a CD-ROM, a flexible disk (FD), a CD-R, a DVD (Digital Versatile Disk). It may be configured to be recorded on a computer-readable recording medium such as USB (Universal Serial Bus), or provided or distributed via a network such as the Internet. Further, various programs may be provided by being incorporated in advance in a nonvolatile storage medium such as a ROM.

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Abstract

La présente invention concerne un dispositif de traitement d'informations, un système, un procédé de traitement d'informations et un programme permettant de générer un matériau pour médecine régénérative qui est optimisé pour la situation. Ce dispositif de traitement d'informations est pourvu d'une première unité d'acquisition et d'une unité de génération. La première unité d'acquisition acquiert, à partir de données tridimensionnelles décrivant un organe interne, les données d'entrée comprenant au moins des informations relatives à une surface de jonction, définie comme étant une surface à laquelle un matériau pour médecine régénérative est assemblé. Le matériau pour la médecine régénérative est défini comme étant un matériau pour régénérer un tissu biologique d'un organe interne. L'unité de génération génère, sur la base des données d'entrée, des données de modèle qui servent de base pour former le matériau pour médecine régénérative au moyen d'un dispositif de formation.
PCT/JP2018/013479 2017-03-31 2018-03-29 Dispositif de traitement d'informations, système, procédé de traitement d'informations, et programme WO2018181824A1 (fr)

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US20170057169A1 (en) * 2015-08-24 2017-03-02 Siemens Healthcare Gmbh Personalized creation from medical imaging
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2014046211A (ja) * 2011-08-30 2014-03-17 Qi Imaging Llc 仮想人工器官を組織モデルに機能的に統合する方法
JP2016519609A (ja) * 2013-04-11 2016-07-07 ユニヴァーシティ オブ フロリダ リサーチ ファウンデーション，インコーポレイテッドＵｎｉｖｅｒｓｉｔｙ Ｏｆ Ｆｌｏｒｉｄａ Ｒｅｓｅａｒｃｈ Ｆｏｕｎｄａｔｉｏｎ，Ｉｎｃ． 臓器構成体及びその製造方法
JP2015089433A (ja) * 2013-11-06 2015-05-11 学校法人慈恵大学 組織再生体およびその製造方法、並びに組織再生体用足場
WO2015148646A2 (fr) * 2014-03-25 2015-10-01 Biobots, Inc. Procédés, dispositifs et systèmes permettant de fabriquer des matériaux et des tissus en utilisant un rayonnement électromagnétique
JP2016203417A (ja) * 2015-04-16 2016-12-08 キヤノンマーケティングジャパン株式会社 医用画像管理システム、その制御方法、及びプログラム、並びに情報処理装置、その制御方法、及びプログラム
US20170057169A1 (en) * 2015-08-24 2017-03-02 Siemens Healthcare Gmbh Personalized creation from medical imaging
JP2017060735A (ja) * 2015-09-23 2017-03-30 シェンヂェン エクセレント テクノロジー カンパニー リミテッドＳｈｅｎｚｈｅｎ Ｅｘｃｅｌｌｅｎｔ Ｔｅｃｈｎｏｌｏｇｙ Ｃｏｍｐａｎｙ Ｌｉｍｉｔｅｄ 組織又は器官の欠損部補填物の構築方法及び構築システム

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