Cranial shape correction system and cranial shape correction method

Abstract

To provide a cranial shape correction system and a cranial shape correction method capable of reducing burdens applied to subjects in measuring and diagnosing cranial shapes.SOLUTION: A cranial shape correction system 10 comprises: a subject information management unit 15 for managing subject information, the information necessary for the cranial shape correction of the subject 100; an output unit 33 including a cranial shape information output unit that outputs cranial shape measurement information, the information necessary for calculating the cranial shape of the subject 100; and a shape data calculation unit 16 for calculating cranial shape data from the cranial shape measurement information. Alternatively, the cranial shape correction system 10 comprises an output unit 43 including an adjustment parameter output unit that can output adjustment parameters from the cranial shape measurement information and the cranial shape data, and a modeling data calculation unit 17 for calculating modeling data for use in manufacture of a cranial shape correction helmet 61 on the basis of the cranial shape measurement information, the cranial shape data, and the adjustment parameters.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The present invention relates to a cranial shape correction system and a cranial shape correction method. [Background technology]

[0002] 2. Description of the Related Art Conventionally, a method for manufacturing a cranial shape correction helmet employed in a cranial shape correction system is known, as described in Patent Document 1.

[0003] In the method for manufacturing a skull shape correction helmet described in Patent Document 1, a skull shape correction helmet is manufactured that has an outer shell made of synthetic resin and an inner liner made of foamed synthetic resin arranged on the inner surface of the shell. The skull shape correction helmet has at least two reinforced connecting ribs arranged at symmetrical positions from the center of the side of the shell, and a slit is formed in the center of at least one side of the side, and the connecting rib is formed at a position that doubles as an air vent or is formed at a position of the diameter of the air vent that is formed in a circular shape. In this method for manufacturing a skull shape correction helmet, the shell is molded by powder sintering additive manufacturing based on the outer shape of the skull to be corrected derived from scan data of the skull to be corrected, and then the liner is arranged on the inner surface of the shell to manufacture the skull shape correction helmet. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 6833240 Summary of the Invention [Problem to be solved by the invention]

[0005] Conventionally, in a cranial shape correction system, for example, the above-mentioned method for manufacturing a cranial correction helmet is adopted to correct the skull of a subject. In this manufacturing method, the external data of the skull shape required for manufacturing a skull correction helmet is obtained by scanning the external shape of the entire skull with a scanning device. However, since there are not many facilities equipped with such a scanning device, the subject had to visit a specific facility equipped with a whole skull scanning device at the reserved date and time. However, the location of the specific facility is not necessarily in the vicinity of the subject, and the burden of visiting is not small. In addition, when the subject is in the age group suitable for cranial correction, specifically, an infant from shortly after birth to about 6 months old, visiting a specific facility that is not usually used, or even visiting at the reserved date and time, is a large burden on the subject and the person accompanying him or her. The same applies to several subsequent regular medical checkups and unexpected replacement of helmet parts.

[0006] The present invention has been made in consideration of the above-mentioned circumstances, and its purpose is to provide a cranial shape correction system and a cranial shape correction method that can reduce the burden on the subject involved in measuring and diagnosing the cranial shape. [Means for solving the problem]

[0007] A cranial shape correction system that solves the above problem comprises a subject information management unit that manages subject information, which is information necessary for correcting the subject's cranial shape; a cranial shape information output unit that outputs cranial shape measurement information, which is information necessary for calculating the subject's cranial shape; a shape data calculation unit that calculates cranial shape data as data on the cranial shape from the cranial shape measurement information; an adjustment parameter output unit that can output adjustment parameters from the cranial shape measurement information and the cranial shape data; a modeling data calculation unit that calculates modeling data used in manufacturing a cranial shape correction helmet based on the cranial shape measurement information, the cranial shape data, and the adjustment parameters; and a modeling data output unit that can output the modeling data to an apparatus for manufacturing the cranial shape correction helmet.

[0008] A cranial shape correction method that solves the above problem includes a subject information management process for managing subject information, which is information necessary for cranial shape correction of a subject; a cranial shape information output process for outputting cranial shape measurement information, which is information necessary for calculating the subject's cranial shape, from a cranial shape information output unit; a shape data calculation process for calculating cranial shape data as data on the cranial shape from the cranial shape measurement information in a shape data calculation unit; an adjustment parameter output process for outputting adjustment parameters from the cranial shape measurement information and the cranial shape data in an adjustment parameter output unit; a modeling data calculation process for calculating modeling data used in manufacturing a cranial shape correction helmet based on the cranial shape measurement information, the cranial shape data, and the adjustment parameters in a modeling data calculation unit; and a modeling data output process that can output the modeling data to an apparatus for manufacturing a cranial shape correction helmet.

[0009] According to such a configuration or method, the cranial shape data of the cranial shape is calculated from the cranial shape measurement information output from the cranial shape information output unit. In addition, at the same time or thereafter, the adjustment parameter for the cranial shape data can be set from the adjustment parameter output unit. As a result, since the distance or time between the cranial shape information output unit on the subject side and the adjustment parameter output unit on the diagnoser side may be different, for example, the adjustment parameter can be set from the adjustment parameter output unit online or at a different time, even if the subject and the diagnoser do not meet in person. In other words, the modeling data input and output to the device for manufacturing the cranial shape correction helmet can be calculated without the subject and the diagnoser meeting in person. In addition, the subject can also have more freedom in the time and place to obtain the cranial shape measurement information. This makes it possible to reduce the burden on the subject involved in measuring and diagnosing the cranial shape.

[0010] In a preferred configuration, the cranial shape measurement information is an image or video of the outer shape of the entire skull, the shape data calculation unit calculates the degree of distortion as distortion data based on reference points specified for the calculated cranial shape data, and the adjustment parameter output unit outputs the adjustment parameters taking into account the distortion data.

[0011] According to this configuration, the distortion data is taken into consideration in the adjustment parameters to be output.

[0012] In a preferred configuration, the cranial shape correcting helmet comprises a hard outer shell and a flexible inner shell positioned between the outer shell and the subject's skull, and the modeling data calculation unit calculates at least one of modeling data for the outer shell and modeling data for the inner shell.

[0013] With this configuration, when using the cranial shape correction helmet, cranial correction can be performed with reduced burden on the skull via the hard outer shell and flexible inner lining.

[0014] In a preferred configuration, a monitoring unit is provided that monitors information about the cranial shape correcting helmet manufactured for the subject and cranial measurement information after the cranial shape correcting helmet is worn.

[0015] In a preferred embodiment, the method further comprises a monitoring step of monitoring, with a monitoring unit, information about the cranial shape correcting helmet manufactured for the subject and cranial measurement information after the subject has worn the cranial shape correcting helmet.

[0016] According to this configuration or method, the cranial measurement information after the cranial shape correction helmet is worn is monitored. This makes it possible to notify whether the outer shell and the interior are shaped appropriately for cranial correction.

[0017] In a preferred configuration, the cranial shape correction helmet includes a learning unit that learns learning parameters to be reflected in the calculation of the modeling data based on information about the manufactured cranial shape correction helmet, cranial measurement information after the cranial shape correction helmet is worn, and information about any changes made to the interior or exterior shell of the cranial shape correction helmet.

[0018] According to this configuration, the learned learning parameters are reflected in the shaping data, making it possible to calculate more preferable shaping data.

[0019] In a preferred configuration, the cranial shape correction helmet is equipped with a sensor, and the monitoring unit determines whether or not at least one of the interior and exterior shell of the cranial shape correction helmet needs to be changed based on the measurement value of the sensor.

[0020] According to this configuration, the suitability of the outer shell or the interior of the cranial shape correction helmet can be determined based on the measurement value of the sensor of the cranial shape correction helmet. This reduces the time and effort required to set a schedule and periodically inspect the suitability of the outer shell or the interior of the cranial shape correction helmet. Furthermore, the cranial correction of the subject 100 can be continued appropriately, so that the correction effect can be obtained quickly.

[0021] In a preferred configuration, the monitoring unit constantly monitors the measurement values ​​of the sensors.

[0022] With this configuration, the sensor measurement values ​​are constantly monitored, making it possible to more quickly determine whether the outer shell or inner lining of the cranial shape correction helmet is suitable.

[0023] In a preferred configuration, the sensors include at least one of one or more body temperature sensors, one or more heart rate sensors, one or more blood pressure sensors, one or more sleep time sensors, one or more pressure sensors, one or more strain sensors, or one or more distance sensors.

[0024] With this configuration, various sensors can be used as sensors for the cranial shape correction helmet, making it possible to obtain measurement values ​​appropriate for determining cranial correction.

[0025] In a preferred method, the method includes a notification step that can notify the subject of at least one of the following, based on information about the cranial shape correction helmet manufactured for the subject and cranial measurement information after wearing the cranial shape correction helmet monitored in the monitoring step: a notification to the subject recommending medical examination, a notification to replace the interior of the cranial shape correction helmet, and a notification to the cranial shape correction diagnoser that a diagnosis is necessary.

[0026] According to this method, the subject will be notified of at least one of the following: a recommendation to see a doctor, a notification to replace the interior of the cranial shape correction helmet, and a notification to the cranial shape correction diagnoser that a diagnosis is required, so that the subject can make any necessary corrections or confirmations to the correction plan after wearing the cranial shape correction helmet. Effect of the Invention

[0027] According to the present invention, it is possible to reduce the burden on a subject involved in measuring and diagnosing the skull shape. [Brief description of the drawings]

[0028] [Figure 1] FIG. 1 is a block diagram illustrating one embodiment of a cranial shape correction system. [Diagram 2] 4 is a flowchart showing the process of the cranial shape correction method in the embodiment. [Diagram 3] FIG. 4 is an explanatory diagram for explaining the relationship between the skull shape data and the correction target candidate data in the embodiment. [Figure 4] FIG. 2 is a perspective view showing an example of a cranial shape correcting helmet in the same embodiment. [Diagram 5] 11 is a flowchart showing an example of a process flow for cranial shape correction including the cranial shape correction system in the embodiment. [Figure 6]10 is a flowchart showing a process flow of a correction necessity determination step in the embodiment. [Figure 7] 10 is a flowchart showing a process flow of a correction management step in the embodiment. [Figure 8] 10 is a flowchart showing the process flow of a completion confirmation step in the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0029] A specific embodiment of a cranial shape correction system will be described with reference to FIGS. 1 to 8. FIG.

[0030] As shown in FIG. 1, the cranial shape correction system 10 is a system for correcting the cranial shape 101 (see FIG. 3) of a subject 100 by having the subject 100 wear a cranial shape correction helmet 61 for correcting the cranial shape 101 (see FIG. 3) of the subject 100 on the head of the subject 100.

[0031] First, the subject 100 is an infant having a correctable and flexible cranial shape 101 (see FIG. 3), and more specifically, is preferably an infant from a newborn to about six months old. For example, the subject 100 may be called a patient when undergoing medical treatment.

[0032] The cranial shape correcting helmet 61 is a helmet that can correct the cranial shape 101 (see FIG. 3) by being put on the subject 100.

[0033] 4, the cranial shape correcting helmet 61 includes an outer shell 62 made of a hard resin that is difficult to deform, and an interior 63 having flexibility such as elasticity that is disposed between the outer shell and the skull of the subject 100. The cranial shape correcting helmet 61 includes the outer shell 62 and the interior 63 so that an appropriate force is transmitted from the cranial shape correcting helmet 61 to the skull of the subject 100. For example, it is preferable that the outer shell 62 is made of a synthetic resin, and the interior 63 is made of a lightweight material such as sponge or urethane.

[0034] The outer shell 62 is preferably a shell-shaped structure that covers the skull and has a structure that reduces stuffiness inside, for example a structure with many ventilation holes. The interior 63 is preferably a cushion made of an elastically deformable material such as sponge or urethane to reduce the feeling of pressure on the head of the subject 100. The interior 63 is also preferably a structure that absorbs sweat and reduces dermatitis, and is preferably adjustable in thickness and elasticity to adjust the corrective force, which is the pressing force applied to the skull, and is replaceable to maintain cleanliness.

[0035] With reference to FIG. 1, a cranial shape correction system 10 will be described.

[0036] The cranial shape correction system 10 includes a main processing server 11, a subject-side terminal 31, and a diagnosis-side terminal 41, which are connected via a network NW so that they can mutually transmit information. The cranial shape correction system 10 may also include a manufacturing device 51, which is connected via the network NW so that they can mutually transmit information in the same manner as described above. The main processing server 11, the subject-side terminal 31, the diagnosis-side terminal 41, and the manufacturing device 51, which are connected via the network NW, may be close enough that at least two of them are bus-connected, or may be connected to each other by short-distance communication. Any one of these two or more devices may be connected to the network NW.

[0037] Subject-side terminal 31 outputs cranial shape measurement information, which is information required to calculate cranial shape 101 of subject 100. Subject-side terminal 31 is an information processing device including a camera that measures subject 100, such as a digital camera, a mobile phone, a smartphone, a tablet terminal, a small computer, etc. Subject-side terminal 31 is capable of acquiring information related to cranial shape 101 of subject 100 by measuring subject 100, and is also capable of transmitting information via network NW.

[0038] Subject-side terminal 31 can acquire, as the skull shape measurement information, an image or video capturing an image of the overall external shape of the skull of subject 100. For example, subject-side terminal 31 may capture images or videos of the entire circumference and top of subject 100 with the skin of subject 100 visible. Note that subject-side terminal 31 may be a device capable of measuring the skull shape of subject 100 more accurately than images or videos, such as a three-dimensional scanner using a laser.

[0039] Subject-side terminal 31 includes input unit 32 and output unit 33 constituting a cranial shape information output unit. Input unit 32 is a unit for acquiring information from outside subject-side terminal 31, and is a unit for inputting information from a touch panel, camera, microphone, etc., and network NW. Output unit 33 is a unit for outputting information from inside subject-side terminal 31, and is a unit for outputting information to an image display device, audio device, etc., and network NW.

[0040] The diagnosis side terminal 41 can refer to the subject information and the skull shape data, and outputs adjustment parameters indicating the amount of adjustment to the skull shape data. The diagnosis side terminal 41 is an information processing device including an image display device and an instruction input device, such as a smartphone, a tablet terminal, or a small computer. The diagnosis side terminal 41 can display information about the subject 100 acquired from the main processing server 11 connected via the network NW on the image display device. The diagnosis side terminal 41 can also set adjustment parameters including the amount of adjustment corresponding to the information about the subject 100 whose image is displayed, and can transmit the set adjustment parameters to the main processing server 11.

[0041] The diagnosis side terminal 41 includes an input unit 42 and an output unit 43 constituting an adjustment parameter output unit. The input unit 42 is a unit for acquiring information from the outside of the diagnosis side terminal 41, and includes a keyboard, mouse, camera, microphone, and a unit for inputting information from the network NW. The output unit 43 is a unit for outputting information from the inside of the diagnosis side terminal 41, and includes an image display device, an audio output device, and a unit for outputting information to the network NW. The diagnosis side terminal 41 can also register, for example, information for changing the correction force of the cranial shape correction helmet 61, such as a change in the shape of the outer shell 62 or the interior 63.

[0042] Based on the information obtained via the diagnosis side terminal 41, the diagnostician 110 grasps the skull shape of the subject 100, judges whether correction is necessary, judges whether the shape of the skull shape correcting helmet 61 and the interior 63 that provides the corrective force are appropriate, and gives new instructions. For example, if the skull shape correction is provided as a medical treatment, the diagnostician 110 should be a medical professional such as a doctor.

[0043] The main processing server 11 is an information processing device such as a computer or a server, and includes an input unit 12, an output unit 13, an information processing unit 14, and a storage unit 20.

[0044] The input unit 12 is an input interface into which necessary information is input from a keyboard, mouse, touch panel, camera or microphone, information input from other devices or servers via the network NW, information input from an external storage device, etc.

[0045] The output unit 13 is an output interface that outputs necessary information, such as to an image display device, a character display device, or an audio device, to other devices or servers via the network NW, or to an external storage device.

[0046] The information processing unit 14 is a part that processes information and is made up of a computer device that processes information in the main processing server 11. For example, the information processing unit 14 has a central processing unit, a volatile memory, a non-volatile memory, and an input / output interface. This input / output interface is capable of communicating information with the input unit 12, the output unit 13, the storage unit 20, etc.

[0047] The storage unit 20 is a part capable of storing various information such as subject information, and transmits and receives information to be stored, information to be read, and instructions to delete information between the information processing unit 14. The storage unit 20 is a part consisting of an internal storage, an external storage, or a combination thereof, and is, for example, composed of one or more of a hard disk, an SSD, a USB memory, etc. For example, the storage unit 20 may include a cloud system that transmits and receives information by information communication via the network NW.

[0048] The main processing server 11 includes a subject information management unit 15, a shape data calculation unit 16, and a modeling data calculation unit 17, which perform functions through program processing corresponding to the functions of the information processing unit 14. The main processing server 11 may also include a monitoring unit 18 and a learning unit 19, which perform functions through program processing corresponding to the functions.

[0049] The subject information management unit 15 is a part that manages information of the subject 100 including subject information, which is information necessary for cranial shape correction of the subject 100, and manages, for example, information such as that described in a medical chart. The subject information management unit 15 also manages cranial shape measurement information of the cranial shape corresponding to the subject, cranial shape data, correction target candidate data, adjustment parameters, modeling data, various parameters, etc. Note that these various data are stored in the storage unit 20, for example.

[0050] The shape data calculation unit 16 calculates data on the skull shape 101 (cranial shape data) from the skull shape measurement information. The shape data calculation unit 16 may recognize the skull shape 101 based on information on the skull shape 101 of the subject 100 input from the subject-side terminal 31, and generate skull shape data corresponding to the subject's skull shape 101 as, for example, three-dimensional data. For example, the subject's skull is mainly a part above the subject's neck, including the skull. The information on the skull shape 101 of the subject 100 input from the subject-side terminal 31 may be information obtained by a scanner that can accurately scan the patient's skull shape 101, but in this embodiment, it may also be an image or video of the entire circumference and top of the subject 100 with the skin of the subject 100 visible.

[0051] If images or videos can be used as information related to skull shape 101, it becomes possible to generate skull shape data from information that can be easily obtained using a commonly available camera. Furthermore, a device equipped with a general-purpose camera, such as a digital camera, a mobile phone, or a smartphone, can be used as the subject-side terminal 31. Note that well-known image processing techniques can be used to generate, for example, three-dimensional data from images or videos as skull shape data.

[0052] Moreover, shape data calculation unit 16 outputs the skull shape data of skull shape 101 of subject 100 to diagnosis side terminal 41. Furthermore, shape data calculation unit 16 enables adjustment parameters set by diagnosing person 110 and necessary for correcting skull shape 101 of subject 100 to be managed in association with the skull shape data of subject 100.

[0053] In addition, shape data calculation section 16 can calculate the degree of distortion occurring in the cranial shape data based on the reference points specified for the cranial shape data, i.e., distortion data indicating the degree of distortion occurring in cranial shape 101 of subject 100.

[0054] Furthermore, the shape data calculation unit 16 may be able to calculate correction target candidate data for correcting the skull of the subject 100 having distortion data. In other words, the shape data calculation unit 16 calculates data that can be used as a target when correcting the distortion included in the skull shape data, that is, the distortion of the skull shape 101, as correction target candidate data.

[0055] With reference to FIG. 3, for example, the correction target candidate data may correspond to a reference point C0 specified in the skull shape data, and appropriate model data selected from pre-stored model data. For example, a center line L0 extending in the front-back direction through the center of the skull and two inclined lines L1 and L2 that are inclined at a predetermined angle to the center line L0 are provided. The predetermined angle is, for example, 30 degrees. At the intersection position of the inclined lines L1 and L2, difference data 141 and 142 consisting of the difference between the skull shape 101 and the correction shape 121 based on the correction target candidate data can be obtained. In addition, the correction target candidate data may be calculated so that the correction force applied from the skull shape correction helmet 61 is appropriate, taking into consideration distortion data (difference data) between the skull shape data and a predetermined adjustment amount.

[0056] The correction target candidate data may be calculated by applying a predetermined calculation method. The correction target candidate data may be calculated by taking into account a predetermined calculation method and a predetermined adjustment amount, so that a correction force for the distortion of the cranial shape data is appropriately calculated. In addition, in the calculation of the correction target candidate data, such as the selection from the model data or the predetermined calculation method, a parameter that allows suitable correction target candidate data to be obtained, for example, a learning parameter, may be considered.

[0057] In addition, well-known technology (for example, the technology disclosed in Patent Publication 2021-74051) can be used to calculate candidate correction target data indicating the cranial shape that is the correction target.

[0058] 1, the shape data calculation unit 16 calculates the difference between the generated cranial shape data of the cranial shape 101 of the subject 100 and the correction target candidate data as difference data. In other words, the degree of distortion (distortion data) of the cranial shape data with respect to the correction target candidate data can also be indicated by the difference data.

[0059] The skull shape data, distortion data, and correction target candidate data calculated by the shape data calculation unit 16 can be referred to on the diagnosis side terminal 41. Note that the adjustment parameters set on the diagnosis side terminal 41 can include an adjustment amount for readjusting the correction target candidate data calculated by the shape data calculation unit 16.

[0060] The modeling data calculation unit 17 calculates modeling data used to manufacture the cranial shape correction helmet 61 based on the subject information, the cranial shape data, and the adjustment parameters. This modeling data is data necessary for the manufacturing device 51 to manufacture the cranial shape correction helmet 61. The modeling data is output from the output unit 13, which has a modeling data output unit, to the manufacturing device 51 that manufactures the cranial shape correction helmet 61.

[0061] The modeling data calculation unit 17 calculates modeling data based on the skull shape data including, for example, three-dimensional data of the skull shape 101 of the subject 100 calculated by the shape data calculation unit 16, the correction target candidate data, and the adjustment parameters set by the diagnostician 110. Specifically, the modeling data calculation unit 17 calculates modeling data for manufacturing a corrective helmet that enables the manufacture of a desired skull shape corrective helmet 61, and outputs the data to the manufacturing device 51 consisting of a three-dimensional printer.

[0062] In addition, well-known technology (for example, the technology disclosed in JP 2021-74897 A) can be used to calculate the shaping data. The calculated shaping data is managed as information on the subject 100 as information on the cranial shape corrective helmet 61 for the subject 100.

[0063] That is, the shaping data calculation unit 17 calculates shaping data for the outer shell 62 and the inner shell 63 so that an appropriate force is transmitted from the cranial shape correcting helmet 61 to the skull of the subject 100. As a result, in the correction using the cranial shape correcting helmet 61, the correction of the skull is performed by the corrective force applied via the flexible inner shell 63, so the burden on the skull is reduced.

[0064] The monitoring unit 18 periodically measures the cranial shape of the subject 100 wearing the cranial shape correcting helmet 61. The monitoring unit 18 acquires cranial measurement information of the subject 100 after wearing the cranial shape correcting helmet 61, which may include the cranial shape measurement information, via the subject-side terminal 31. The monitoring unit 18 may also notify the subject-side terminal 31 to periodically measure the cranial measurement information of the subject 100 after wearing the cranial shape correcting helmet 61.

[0065] The monitoring unit 18 may be capable of causing the shape data calculation unit 16 to calculate cranial shape data after the cranial shape correction helmet 61 is worn based on the acquired cranial measurement information after the cranial shape correction helmet 61 is worn, and managing the cranial shape data for the cranial shape 101 of the subject 100 as progress information.

[0066] The monitoring unit 18 may monitor information on the cranial shape correcting helmet 61 manufactured for the subject, and cranial measurement information after the cranial shape correcting helmet 61 is worn, from the subject-side terminal 31. The monitoring unit 18 may also determine whether or not at least one of the interior 63 or the outer shell 62 of the cranial shape correcting helmet 61 needs to be changed based on the cranial measurement information. The monitoring unit 18 may also constantly monitor the cranial measurement information as an example of periodic measurement.

[0067] The learning unit 19 learns learning parameters that are reflected in the creation of correction target candidate data and shaping data suitable for correction, based on the relationship with the cranial shape data and shaping data, etc. For example, the learning unit 19 learns correction target candidate data and shaping data that can obtain a cranial shape correction helmet 61 suitable for correcting the cranial shape 101 to a target shape.

[0068] Furthermore, the learning unit 19 may update learning parameters reflected in the calculation of the correction target candidate data and the shaping data, calculate a correction force suitable for future correction, and output the updated learning parameters and the calculated correction force, for example, to the diagnoser 110. The learning unit 19 may apply the learning information such as the learning parameters to other subjects without identifying their personal information.

[0069] For example, the learning unit 19 learns learning parameters to be reflected in the calculation of the shaping data based on information (shaping data) of the manufactured cranial shape correcting helmet 61, cranial measurement information which is progress information after wearing the cranial shape correcting helmet 61, and information on changes in the correction power of the cranial shape correcting helmet 61. As a result, the learning parameters learned by the learning unit 19 are reflected in the correction target candidate data and the shaping data, making it possible to calculate more preferable correction target candidate data and shaping data.

[0070] The manufacturing device 51 is a device that manufactures the skull shape correction helmet 61 based on the modeling data. The manufacturing device 51 is, for example, a three-dimensional printer that can manufacture products made of foamed resin such as polystyrene foam using a resin material. The manufacturing device 51 may also be capable of selecting a material that can manufacture the skull shape correction helmet 61 that is lightweight and has some elasticity. If the manufacturing device 51 is a three-dimensional printer, it can reduce loss of raw materials such as resin materials, but it may also be a device that manufactures the skull shape correction helmet 61 by resin molding or cutting out from raw materials.

[0071] The manufacturing apparatus 51 includes an input unit 52 and an output unit 53. The input unit 52 is a unit for acquiring information from outside the manufacturing apparatus 51, and is a unit for inputting information from a network NW, such as a keyboard, a mouse, a touch panel, and a microphone. The output unit 53 is a unit for outputting information from inside the manufacturing apparatus 51, and is a unit for outputting information to the network NW, such as an image display device and an audio output device.

[0072] 2, the cranial shape correction system 10 includes a subject information management step (step S100) and a correction preparation step (step 101) as an example of a processing procedure in a cranial shape correction method in the cranial shape correction system. The correction preparation step (step 101) includes a cranial shape information output step (step S110), a shape data calculation step (step S120), an adjustment parameter output step (step S130), a modeling data calculation step (step S140), and a modeling data output step (step S150).

[0073] The cranial shape correction system 10 also includes, as an example of a processing procedure, a helmet manufacturing process (step S160), a monitoring process (step S170), and a learning process (step S180). Note that the flowchart shown in Fig. 2 is an example of the progress of each process, and each process may be repeated or appropriately executed as necessary.

[0074] In the cranial shape correction system 10, each process described below is executed through information processing corresponding to each process in each information processing unit (such as information processing unit 14) possessed by the main processing server 11, the subject side terminal 31, the diagnosis side terminal 41, and the manufacturing device 51.

[0075] When the cranial shape correction method is started in the cranial shape correction system 10, first, a subject information management step (step S100) is executed.

[0076] The subject information management step (step S100) is, for example, a step executed and processed by the subject information management unit 15, and is a step of managing subject information, which is information necessary for cranial shape correction of the subject 100. For example, in the subject information management step (step S100), information on the subject 100 to be registered and information associated with the subject 100 are stored in the storage unit 20. Examples of information to be stored include information that is written in a medical chart.

[0077] Since information on the subject 100 may be added or modified as appropriate, the subject information management process (step S100) may be re-executed, or a similar process may be re-executed, each time the subject information management unit 15 updates the cranial shape measurement information, cranial shape data, candidate correction target data, adjustment parameters, modeling data, various parameters, and progress information for the cranial shape 101 corresponding to the subject.

[0078] The cranial shape information output step (step S110) is, for example, a step executed and processed by subject-side terminal 31, and is a step of measuring subject 100 and outputting cranial shape measurement information of subject 100. For example, in the cranial shape information output step (step S110), the outer shape of the entire skull of subject 100 is captured as an image or video, and the captured image or video is output to main processing server 11 via network NW as cranial shape measurement information of subject 100. Note that in the cranial shape information output step (step S110), the date and time when the image or video was captured and other information may be output together with the cranial shape measurement information.

[0079] The shape data calculation step (step S120) is, for example, a step executed by shape data calculation unit 16, and is a step of generating cranial shape data corresponding to the cranial shape of subject 100 based on the cranial shape measurement information of subject 100. Note that well-known image processing techniques can be used to generate the cranial shape data from images or videos as the cranial shape measurement information of subject 100. In addition, in the shape data calculation step (step S120), correction target candidate data and distortion data corresponding to the generated cranial shape data are calculated.

[0080] The adjustment parameter output process (step S130) is a process that is executed, for example, by the diagnosis side terminal 41, and displays information about the subject 100 and the cranial shape data on an image display device so that they can be referenced, and also sets and outputs adjustment parameters such as the amount of adjustment for the cranial shape data information, etc.

[0081] For example, in the adjustment parameter output process (step S130), the skull shape data of the skull shape of the subject 100, the correction target candidate data, and the difference data are acquired from the main processing server 11, and are displayed on the image display device of the diagnosis side terminal 41. Also, in the adjustment parameter output process (step S130), the adjustment parameters reflected in the calculation of the correction target candidate data displayed on the image display device may be set by the diagnosing person 110 who can operate the diagnosis side terminal 41.

[0082] In response to the set adjustment parameters being transmitted to the main processing server 11, the shape data calculation unit 16 may recalculate the correction target candidate data, and the recalculated correction target candidate data may be displayed on the image display device.

[0083] 3 shows an example of a skull shape 101 of a subject 100 based on the skull shape data, a correction shape 121 based on the correction target candidate data, and difference data 141, 142, which are displayed on an image display device in the adjustment parameter output process (step S130). FIG. 3 is a diagram showing a schematic cross section of the skull shape 101 at a certain height when the head is viewed from above. Thus, although there are cross sections for each height, here, for convenience of explanation, only a cross section at a certain height will be illustrated.

[0084] 2, in the adjustment parameter output process (step S130), the diagnostician 110 refers to, for example, the skull shape 101, the correction shape 121, and the difference data 141 and 142, and inputs adjustment parameters for adjusting the correction shape 121 to a shape suitable for the subject 100 via the diagnostic terminal 41. The adjustment parameters may include an adjustment amount for enlarging or reducing the correction target candidate data, an adjustment amount for deforming the approximately elliptical shape of the correction target candidate data, and the like.

[0085] It is preferable that the input of such adjustment parameters be made through an interface that allows input while referring to the skull shape 101, the corrected shape 121, and the difference data 141, 142 on the diagnostic side terminal 41. Furthermore, it is preferable that the relationship between the reset adjustment parameters and the corrected shape 121 and the difference data 141, 142 that are affected by the reset adjustment parameters can be displayed on the image display device in a manner that allows immediate recognition.

[0086] The modeling data calculation process (step S140) is, for example, a process executed and processed by the modeling data calculation unit 17, and is a process in which the manufacturing device 51 calculates modeling data necessary for manufacturing the cranial shape correction helmet 61 based on the subject information, cranial shape data, and adjustment parameters. In the modeling data calculation process (step S140), the modeling data necessary for manufacturing the cranial shape correction helmet 61 corresponding to the correction shape 121 is calculated taking into consideration the characteristics of the manufacturing device 51 and the characteristics of the raw materials. Note that in the modeling data calculation process (step S140), the modeling data may be calculated further taking into consideration other information such as learning parameters.

[0087] The shaping data output process (step S150) is, for example, a process executed by the shaping data calculation unit 17 or the output unit 13, and is a process of outputting the shaping data to the manufacturing apparatus 51. In the shaping data output process (step S150), the shaping data may be output in accordance with a manufacturing schedule of the manufacturing apparatus 51. In addition, in the shaping data output process (step S150), the shaping data may be set as subject information or displayed on the subject-side terminal 31 or the diagnosis-side terminal 41.

[0088] The helmet manufacturing process (step S160) is, for example, a processing process performed by the manufacturing device 51, and the cranial shape correction helmet 61 is manufactured based on the modeling data. In the helmet manufacturing process (step S160), the cranial shape correction helmet 61 manufactured by the manufacturing device 51 may be delivered to the subject 100 via the diagnostician 110. Note that if a related person capable of adjusting the interior 63 of the cranial shape correction helmet 61, such as the subject 100's relatives, doctor in charge, or person in charge, is registered, the cranial shape correction helmet 61 may be delivered directly to the subject 100 or related persons without going through the diagnostician 110.

[0089] The monitoring process (step S170) is, for example, a process executed and processed by the monitoring unit 18, and obtains progress information regarding the correction by acquiring cranial measurement information after the cranial shape correcting helmet 61 is worn, and manages the progress information as subject information. In other words, the monitoring process (step S170) monitors information on the cranial shape correcting helmet 61 manufactured for the subject, and cranial measurement information from the monitoring unit 18 after the cranial shape correcting helmet 61 is worn.

[0090] In the monitoring process (step S170), the monitoring unit 18 may determine whether or not the correction power of the cranial shape correcting helmet 61 needs to be changed based on the information (shape data) of the cranial shape correcting helmet 61 and the progress information. The correction power of the cranial shape correcting helmet 61 can be adjusted, for example, by replacing the interior 63. In addition, in the monitoring process (step S170), a notification may be periodically sent to the subject's terminal 31 to prompt the subject to measure images or videos as cranial measurement information after wearing the cranial shape correcting helmet 61.

[0091] The learning process (step S180) is, for example, a processing process performed by the learning unit 19, which learns predetermined adjustment amounts and the like used in the calculation of correction target candidate data calculated by the shape data calculation unit 16 based on the measured skull shape data and modeling data. In other words, by reflecting the learned predetermined adjustment amounts on the skull shape of the subject 100 grasped from the measurement data, the correction target candidate data as a correction target is calculated as more appropriate data.

[0092] This allows more appropriate correction target candidate data to be calculated for the measurement data, and it is expected that the skull shape will be more appropriately corrected by the cranial shape correcting helmet 61 that is modeled based on this appropriate correction target candidate data. The predetermined adjustment amount can be used when recreating the cranial shape correcting helmet 61 for the subject 100. The learned predetermined adjustment amount may also be applied to the correction target candidate data calculated by the shape data calculation unit 16 for other subjects.

[0093] This completes the procedure of the cranial shape correction method.

[0094] The overall flow of such cranial shape correction will be described with reference to Figs. 5 to 8.

[0095] 5, the cranial shape correction flow includes a correction necessity determination step (step S300), a correction planning step (step S310), a correction preparation step (step S101), a correction management step (step S320), and a completion confirmation step (step S330). The cranial shape correction flow includes processing in the cranial shape correction system 10.

[0096] The correction necessity determination step (step S300) is a step of determining whether or not it is necessary to perform cranial shape correction on the skull of the subject 100, that is, a step of making a so-called initial diagnosis.

[0097] With reference to FIG. 6, the correction necessity determining step (Step S300) includes a measuring step (Step S301), a progress estimating step (Step S302), and a determining step (Step S303).

[0098] The measurement process (step S301) is a process of measuring the skull shape of the subject 100 for an initial diagnosis. The skull shape is measured using a device that scans the skull shape. Devices that scan the skull shape include optical sensors, ultrasonic sensors, radio wave sensors, and image recognition sensors. The measurement process may also be a process in which values ​​obtained from a body measurement tape measure, body measurement calipers, fetal head measuring device, etc. are set or read.

[0099] The progress estimation step (step S302) is a step of estimating the future cranial shape based on the results of the measurement of the cranial shape. For example, the future cranial shape is estimated by simulating the growth process of the cranial shape. The estimation may be one month later, two months later, three months later, four months later, five months later, six months later, etc., or may be an estimation only for a necessary period such as six months later, one year later, or two years later. Also, for example, the future cranial shape when a predetermined correction is applied to the measured cranial shape may be estimated as described above.

[0100] The determination step (step S303) is a step of determining whether or not to correct the cranial shape based on the estimation result of the future cranial shape. For example, the estimated future cranial shape may be compared with the ideal cranial shape, and if the difference between the comparison is equal to or greater than a predetermined value, it may be determined that correction is necessary, and if the difference between the comparison is less than a predetermined value, it may be determined that correction is unnecessary. Also, an interface required for the subject 100 or the diagnostician 110 to determine whether correction is necessary may be provided, and the result of the determination may be input. Then, the process returns following the determination step, and the correction necessity determination step (step S300) in FIG. 5 ends.

[0101] Next, referring to Fig. 5, in the correction planning process (step S310), before starting cranial shape correction, a schedule for matters necessary for correction, such as a cranial correction method, a correction procedure, a correction period, a correction goal, and a confirmation time, is planned as a correction plan. For example, the correction plan may include an elapsed period corresponding to the degree of correction, an estimated shape, an overall progress status, a correction method corresponding to the progress, and the like. In addition, in the correction planning process (step S310), if the diagnosator 110 is a medical professional such as a doctor, nurse, or pharmacist, information for determining a treatment method according to the patient's symptoms may be provided, or the correction plan may be partially or entirely modified or reset.

[0102] Next, referring to FIG. 5, in the correction preparation step (step S101), as shown in FIG. 2, a cranial shape corrective helmet 61 suitable for correcting the cranial shape is manufactured based on the cranial shape measurement information of the subject 100.

[0103] Next, referring to Fig. 5, a correction management process (step S320) is executed. Referring to Fig. 7, the correction management process (step S320) includes a monitoring process (step S170), a notification process (step S322), a determination of whether the progress is good or not (step S323), and a determination of whether to continue the plan (step S328).

[0104] The correction management process (step S320) includes a replanning proposal process (step S324), a decision on whether to replan (step S325), a replanning preparation process (step S326), and a correction replanning process (step S327). The correction management process (step S320) also executes a correction preparation process (step S101) as necessary. Note that the correction preparation process (step S101) is the same process as the correction preparation process (step S101) shown in FIG. 2, so it is denoted by the same reference numeral and detailed description is omitted.

[0105] The monitoring step (step S170) is the same as the monitoring step (step S170) shown in Fig. 2, and is therefore denoted by the same reference numeral. Here, the monitoring step (step S170) is a so-called monitoring step in which the cranial shape of the subject 100 wearing the cranial shape correcting helmet 61 is constantly or periodically measured.

[0106] The monitoring may be monitoring by collecting data from sensors, monitoring by collecting data by processing images obtained from a camera or the like, or monitoring by collecting data using a plurality of methods.

[0107] In the notification step (step S322), based on the correction plan and the cranial measurement information after wearing the cranial shape correction helmet 61 monitored in the monitoring step, a notification is made as to whether the progress of the correction plan is good or not. The correction plan is the one listed in the correction planning step (step S310), and may be, for example, information on the cranial shape correction helmet 61 manufactured for the subject 100. The notification of whether the progress of the correction plan is good or not is a notification to inform the subject that the correction plan may be in a state where it is necessary to review it. For example, the notification of whether the progress of the correction plan is good or not may be at least one of a notification recommending the subject 100 to see a doctor, a notification to replace the interior of the cranial shape correction helmet 61, and a notification to the cranial shape correction diagnoser 110 that a diagnosis is necessary.

[0108] In addition, depending on the response to the notification of whether the progress of the orthodontic plan is good or not, it is determined whether the progress of the orthodontic plan is good or not (step S323). If it is determined that the progress of the orthodontic plan is good (YES in step S323), the process proceeds to determining whether to continue the orthodontic plan (step S328). If it is determined that the orthodontic plan is to be continued (YES in step S328), the process returns to the monitoring step (step S321) and monitoring is continued.

[0109] On the other hand, when it is determined in the determination of whether the progress of the correction plan is good or not (step S323) that the progress of the correction plan is not good (NO in step S323), since there is a possibility that the correction plan needs to be revised, the process proceeds to a re-planning proposal process (step S324).

[0110] In the re-planning suggestion process (step S324), data, information, or reasons for which it is determined that it is preferable to modify the orthodontic plan are presented. In the re-planning suggestion process, whether or not to perform re-planning is determined based on the judgment of the person related to the subject 100 who indicated that the orthodontic plan should be modified or the diagnostician 110. In addition, in the re-planning suggestion process (step S324), the data or information indicating that the orthodontic plan should be modified may be compared with a threshold value for determining whether or not modification is necessary, and it may be determined that re-planning is necessary when the data or information is equal to or greater than the threshold value for determining whether or not modification is necessary. Then, based on the result of any of the judgments, it is determined whether or not to perform re-planning (step S325).

[0111] If it is determined by the re-planning proposal process that a re-plan should be made (YES in step S325), the re-planning preparation process (step S326) is executed. On the other hand, if it is determined by the re-planning proposal process that a re-plan should not be made (NO in step S325), the process proceeds to a determination of whether to continue the plan (step S328).

[0112] In the replanning preparation process (step S326), information on the orthodontic plan and orthodontic progress thus far is prepared as information necessary for replanning. By adding the information necessary for replanning to the replanning, the accuracy of the replanned orthodontic plan can be improved. For example, based on the information on the orthodontic progress, characteristics of the ease of correction, such as areas of the skull where correction is easy to progress and areas where correction is slow, can be grasped. Then, a correction plan can be created that takes into account the characteristics of the ease of correction. This increases the likelihood that correction will proceed as planned.

[0113] The orthodontic re-planning step (step S327) is a step similar to the orthodontic planning step (step S310) shown in FIG. 5, but differs in that, when making a orthodontic plan, the above-mentioned information required for the re-planning is added.

[0114] Then, when the correction re-planning process (step S327) is completed, the correction management process (step S320) executes the correction preparation process (step S101) shown in FIG. 2. As a result, a new cranial shape corrective helmet 61 corresponding to the correction plan newly planned in the correction re-planning process (step S327) is manufactured. At this time, the outer shell 62 and the interior 63 of the cranial shape corrective helmet 61 may be manufactured. Note that when the manufacture of only the interior 63 is planned in the correction re-planning process (step S327), the correction preparation process (step S101) may manufacture only the interior 63 applied to the outer shell 62 of the existing cranial shape corrective helmet 61.

[0115] Then, the process proceeds to determining whether or not to continue the correction plan (step S328). If it is determined that the correction plan is to be continued (YES in step S328), the process returns to the monitoring step (step S321), and processing such as monitoring is continued.

[0116] On the other hand, if it is determined that the correction plan will not be continued (NO in step S328), the process returns to the correction management step (step S320) shown in FIG. 5, and the cranial shape correction flow ends the execution of the correction management step (step S320), and executes the completion confirmation step (step S330). The determination that the correction plan will not be continued may be made when the correction plan reaches the correction goal, when the correction period is reached, or when there is a large discrepancy between the correction plan and the measurement results of the monitoring. The determination that the correction plan will not be continued may also be made based on settings by the diagnosing person 110, etc.

[0117] The completion confirmation step (step S330) includes a measurement step (step S331), a state grasping step (step S332), and a completion determination step (step S333).

[0118] The measurement step (step S331) is a step of measuring the skull shape of the subject 100, and is the same as the measurement step (step S301) shown in FIG.

[0119] The condition grasping step (step S332) is a step of grasping the correction result based on the measurement result of the skull shape. The condition grasping step (step S332) may be capable of presenting the correction result to the diagnostician 110, the subject 100, or a related person.

[0120] The completion determination process (step S333) determines whether cranial correction is complete. Correction is determined to be complete based on the grasped cranial correction result. On the other hand, when it is determined that correction is insufficient, the completion determination process (step S333) may determine that cranial correction is not complete if it is to be continued, or that it is complete if it is not possible to continue cranial correction, depending on whether or not it is possible to continue cranial correction.

[0121] Then, the process returns following the completion determination step (step S333), and the completion confirmation step (step S333) in FIG. 5 ends, and the entire flow of cranial shape correction ends.

[0122] As described above, the cranial shape correction system provides the following effects.

[0123] (1) Cranial shape data of the cranial shape 101 is calculated from the cranial shape measurement information output from the output unit 33 of the subject-side terminal 31. At the same time or thereafter, adjustment parameters for the cranial shape data can be set from the output unit 43 of the diagnosis-side terminal 41. As a result, since the cranial shape information output unit on the subject side and the adjustment parameter output unit on the diagnosing person side may be separated in distance or time, it becomes possible to set the adjustment parameters from the diagnosis-side terminal 41 online or at different times, for example, without the subject 100 and the diagnosing person 110 meeting in person.

[0124] In other words, the modeling data to be input to and output from the manufacturing device 51 for the cranial shape correction helmet 61 can be calculated without the need for a face-to-face meeting between the subject 100 and the operator of the diagnosis side terminal (diagnostician 110). Also, the subject 100 has more freedom in choosing the time and place to obtain the cranial shape measurement information. This reduces the burden on the subject 100 in terms of measuring and diagnosing the cranial shape.

[0125] (2) The distortion data will be taken into account in the output adjustment parameters.

[0126] (3) When using the skull shape correction helmet 61, the hard outer shell 62 and the flexible inner shell 63 allow for skull correction with reduced stress on the skull.

[0127] (4) The monitoring unit 18 monitors the cranial measurement information measured after wearing the cranial shape correcting helmet 61. This makes it possible to notify whether the outer shell 62 and the inner shell 63 have shapes appropriate for cranial correction.

[0128] (5) The learned parameters are reflected in the modeling data, making it possible to calculate more desirable modeling data.

[0129] (6) The suitability of the outer shell 62 or the interior 63 of the cranial shape correcting helmet 61 can be determined based on the measurement value of the sensor of the cranial shape correcting helmet 61. This reduces the effort required to regularly check the suitability of the outer shell 62 or the interior 63 of the cranial shape correcting helmet 61 on a scheduled basis. Furthermore, the cranial correction of the subject 100 can be continued appropriately, so that the correction effect can be obtained quickly.

[0130] (7) When the sensor measurement values ​​are constantly monitored, the suitability of the outer shell 62 or inner shell 63 of the cranial shape correction helmet 61 can be determined more quickly.

[0131] (8) Various sensors can be used as sensors for the cranial shape correction helmet 61, so that appropriate measurement values ​​can be obtained for determining cranial correction.

[0132] (9) At least one of the following notifications will be sent to the subject 100: a recommendation to see a doctor, a notification to replace the interior 63 of the cranial shape correction helmet 61, or a notification to the cranial shape correction diagnoser 110 that a diagnosis is required. This will enable the subject 100 to make any necessary corrections or confirmations to the correction plan after putting on the cranial shape correction helmet 61.

[0133] (Other embodiments)

[0134] The above embodiment can also be implemented in the following manner.

[0135] In the above embodiment, the cranial shape corrective helmet 61 may have a sensor capable of outputting a measurement value to the subject-side terminal 31. At this time, the monitoring unit 18 may acquire the sensor measurement value obtained from the subject-side terminal 31 and determine whether or not the correction force of the cranial shape corrective helmet 61 needs to be changed based on the acquired measurement value. In other words, the cranial measurement information may include information based on the sensor measurement value. Representative examples of the sensor include at least one of a body temperature sensor, a heart rate sensor, a blood pressure sensor, a sleep time sensor, a pressure sensor, a distance sensor, etc.

[0136] The sensor may include other biosensors, such as a motion sensor, a blood oxygen concentration sensor, a respiration sensor, a moisture sensor, a temperature sensor, a blood glucose sensor, an image sensor, an inertial sensor, an activity meter, an acceleration sensor (sleep detection, head movement, etc.), a blood oxygen saturation sensor, an infrared sensor, a camera (gaze detection, etc.), an electrooculography sensor, an ultrasonic distance sensor, a UV sensor, a photoelectric pulse wave sensor, an odor sensor, an electromyography sensor, and a human presence sensor.

[0137] The sensor may be a gel-like sensor that can be attached to the human body or to the cranial shape correction helmet 61. The sensor may also be capable of transmitting and receiving information by data communication with a main processing server via a network NW or the like.

[0138] This allows the correction force to be determined from data from the cranial shape correction helmet 61, reducing the need to consciously take measurements periodically, and also allowing the corrective force required at that time to be appropriately applied to the skull of the subject 100 so that the effect can be seen quickly.

[0139] In the above embodiment, an example including the monitoring unit 18 and the learning unit 19 has been shown, but the present invention is not limited to this, and at least one of the monitoring unit 18 and the learning unit 19 may not be included. That is, an example including the monitoring process (step S170) and the learning process (step S180) has been shown, but the present invention is not limited to this, and at least one of the monitoring process (step S170) and the learning process (step S180) may not be included. [Explanation of symbols]

[0140] 10...cranial shape correction system, 11...main processing server, 12...input section, 13...output section, 14...information processing section, 15...subject information management section, 16...shape data calculation section, 17...modeling data calculation section, 18...monitoring section, 19...learning section, 20...memory section, 31...subject side terminal, 32...input section, 33...output section, 41...diagnostic side terminal, 42...input section, 43...output section, 51...manufacturing device, 52...input section, 53...output section, 61...cranial shape correction helmet, 62...outer shell, 63...interior, 100...subject, 101...cranial shape, 110...diagnostician, 121...corrected shape, 141, 142...difference data, C0...reference point, L0...center line, L1, L2...slope line, NW...network

Claims

1. a subject information management unit for managing subject information, which is information necessary for cranial shape correction of a subject; a cranial shape information output unit that outputs cranial shape measurement information, which is information required to calculate the cranial shape of the subject; a shape data calculation unit that calculates skull shape data as data on the skull shape from the skull shape measurement information; an adjustment data output unit capable of outputting adjustment data from the cranial shape measurement information and the cranial shape data; A modeling data calculation unit that calculates modeling data used to manufacture a cranial shape correction helmet based on the adjustment data; A modeling data output unit capable of outputting the modeling data to an apparatus for manufacturing a cranial shape correction helmet. A cranial shape correction system.

2. The cranial shape measurement information is data representing the overall external shape of the skull, The shape data calculation unit calculates a degree of distortion as distortion data based on a specified criterion for the calculated skull shape data, The adjustment data output unit can output the adjustment data taking into account the distortion data, the skull shape data, or both. The cranial shape correction system according to claim 1 .

3. The cranial shape correction helmet comprises a hard outer shell and a flexible inner shell disposed between the outer shell and the subject's skull; The modeling data calculation unit calculates at least one of modeling data for the outer shell and modeling data for the interior. The cranial shape correction system according to claim 1 or 2.

4. A monitoring unit is provided for monitoring information on the cranial shape correction helmet manufactured for the subject and information on the cranial shape correction helmet after the subject wears the helmet. The cranial shape correction system according to claim 3 .

5. A learning unit is provided that learns learning parameters to be reflected in the calculation of the shaping data or the adjustment data or both, based on information on the manufactured cranial shape correction helmet, cranial measurement information after the cranial shape correction helmet is worn, and information on changes to the interior or the exterior of the cranial shape correction helmet. The cranial shape correction system according to claim 4.

6. The cranial shape correction helmet is equipped with a sensor, The monitoring unit determines whether or not at least one of the interior and the exterior of the cranial shape corrective helmet needs to be changed based on the measurement value of the sensor. The cranial shape correction system according to claim 4.

7. The monitoring unit constantly monitors the measurement value of the sensor. The cranial shape correction system according to claim 4.

8. The sensor may include at least one of one or more body temperature sensors, one or more heart rate sensors, one or more blood pressure sensors, one or more sleep time sensors, one or more pressure sensors, one or more strain sensors, or one or more distance sensors. The cranial shape correction system according to claim 4.

9. A subject information management step of managing subject information, which is information necessary for cranial shape correction of the subject; a cranial shape information output step of outputting cranial shape measurement information, which is information required for calculating the cranial shape of the subject, from a cranial shape information output unit; a shape data calculation step of calculating skull shape data as data on the skull shape from the skull shape measurement information in a shape data calculation unit; an adjustment parameter output step of outputting an adjustment parameter from the cranial shape measurement information and the cranial shape data in an adjustment parameter output unit; a modeling data calculation step of calculating modeling data used in manufacturing a cranial shape correction helmet based on the cranial shape measurement information, the cranial shape data, and the adjustment parameters in a modeling data calculation unit; and a modeling data output step for outputting the modeling data to an apparatus for manufacturing a cranial shape correction helmet. A method for correcting skull shape.

10. The method includes a monitoring step of monitoring information on the cranial shape correction helmet manufactured for the subject and information on the cranial shape correction helmet after the subject wears the helmet. The method for correcting cranial shape according to claim 9.

11. A notification step is provided for notifying the subject of at least one of the following based on information on the cranial shape correction helmet manufactured for the subject and the cranial measurement information after the cranial shape correction helmet is worn: a notification to recommend a medical examination to the subject, a notification to replace the interior of the cranial shape correction helmet, and a notification to the cranial shape correction diagnoser that a diagnosis is necessary. The method for correcting cranial shape according to claim 10.

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