TW202023478A - System and method for measuring scoliosis - Google Patents

Abstract

A system for measuring scoliosis is provided in the present invention, which comprises a measuring tool, a first image acquiring device, and an image processing module. The measuring tool is operated to move along a spine of an examination, wherein at least one mark is arranged on the measuring tool. The first image acquiring device is utilized to acquire an image information about the measuring tool when the measuring tool is operated to move along the spine thereby generating a first image signal. The image processing module receives and analyzes the first image signal for determining a moving trace with respect to the at least one mark arranged on the moved measuring tool, thereby generating a measuring information with respect to the measured spine.

Description

Scoliosis measurement system and method

The invention is a spine measurement technology, in particular a scoliosis measurement system that uses a combination of a jig and an image capturing device to measure the state of scoliosis, or scoliosis and the surface topography of the spine And method.

In general clinics, X-rays are used for scoliosis screening and diagnosis. The system can be roughly divided into two types. The first is direct X-ray imaging irradiation, for example: Chinese Patent No. CN108053394 or Republic of China Patent No. 201042556, etc. belong to this category. The second category is to install an application (APP) that detects the angle through the smart handheld device, and place the handheld device on the X-ray image for measurement. For example, the CobbMeter APP for smart handheld devices on the market. Although X-ray images can clearly see the scoliosis of the human spine, it cannot be used for large-scale screening due to medical costs and radiation exposure considerations.

Therefore, in conventional techniques, another measurement method is to switch to Adam's flexion test as a screening test. Although this method can detect scoliosis, it cannot quantify the patient's rotation angle and estimate the degree of scoliosis. Therefore, in conventional techniques, a Scoliometer is used to measure scoliosis in combination with a sub-flexion test. The scoliosis protractor mainly measures the angle of trunk rotation (ATR). The measurement angle is greater than 5 degrees to determine that there is scoliosis, but in general, this method still requires further X-rays for diagnosis .

In another embodiment, a device, system, and method for characterizing spinal deformities as disclosed in the Republic of China Patent No. 201813585. A mobile device with an inclinometer or accelerometer (such as a smart phone) is firmly held in a supporting structure and moved along the surface of the spine to detect scoliosis and/or scoliosis of the spine. In addition, there is a measurement method using ultrasonic waves, such as the technology taught in Chinese Patent No. CN106361376.

In addition, the US Patent No. US4832049 also teaches a method of projecting at least one set of diagonally projecting linear light (slit beam) onto the patient’s back, and then using an image capturing device to capture images of the light source, which can then determine scoliosis status.

The present invention provides a scoliosis measurement system and method, which uses a jig with at least one mark to move it along the spine of a person to be side-by-side, captures an image about the jig through an image capturing device, and then Analyze the movement trajectory marked on the jig, and then obtain information about the curvature of the spine. Through the combination of image capture and jig, the condition of scoliosis can be measured effectively and accurately.

The present invention provides a scoliosis measurement system and method. Furthermore, a second image capturing device or a flexible object with a specific pattern can be tightly attached to the external tissue of the spine to be examined, such as The back surface of the person to be inspected is further measured. In this way, the topography of the back of the examinee can be quickly obtained without scanning a large area at a relatively low cost, which can then be used as information to assist in determining the spine curvature. In addition, the detection and recording of the back surface topography can be used as an auxiliary tool for judging the degree of rehabilitation in the future, reducing the risk of using radiographic imaging.

In one embodiment, the present invention provides a scoliosis measurement system, including a jig, a first image capturing device, and an image processing module. The jig is used to move along one side of the spine to be tested of a subject, and the jig is provided with at least one mark. The first image capturing device is used for capturing a dynamic image of the at least one mark on the jig during the moving process of the jig to generate a first image signal. The image processing module is used to receive the first image signal, and the image processing module analyzes the first image signal to parse the movement track of at least one mark on the fixture along with the movement of the fixture, thereby generating information about Measurement information of one of the spine to be tested.

In one embodiment, the present invention provides a method for measuring scoliosis, which includes the following steps. Firstly, a jig with at least one mark is used to move it along one side of a subject's spine to be tested. mobile. Then, a first image capture device is used to capture a dynamic image of the fixture on the at least one mark during the movement of the fixture to generate a first image signal. Finally, an image processing module is used to receive the first image signal, and the image processing module analyzes the first image signal to determine the movement track of at least one mark on the fixture along with the movement of the fixture, thereby generating Measurement information about one of the spine to be tested.

In one embodiment, the scoliosis measurement system further includes a flexible object with a specific pattern that is tightly attached to the external tissue of the to-be-side spine, and the first image signal further includes information about the deformation of the specific pattern. Image information: The image processing module analyzes the deformed state of the specific pattern according to the deformed image information of the specific pattern to reconstruct the surface topography information of the external tissue and the spine to be measured.

In one embodiment, the scoliosis measurement system further has a second image capturing device. The first and second image capturing devices respectively capture the external tissues around the spine to be tested to generate a second And a third image signal, the image processing module reconstructs the surface topography information of the external tissue according to the second and third image signals.

Hereinafter, referring to the accompanying drawings, various exemplary embodiments may be described more fully, and some exemplary embodiments are shown in the accompanying drawings. However, the inventive concept may be embodied in many different forms, and should not be construed as being limited to the exemplary embodiments set forth herein. To be precise, providing these exemplary embodiments makes the present invention detailed and complete, and will fully convey the scope of the concept of the present invention to those skilled in the art. Similar numbers always indicate similar components. The scoliosis measurement system and method will be described below with a variety of embodiments and drawings. However, the following embodiments are not intended to limit the present invention.

Please refer to Figure 1, which is a schematic diagram of a scoliosis measurement system of the present invention. The system 2 includes a fixture 20, a first image capturing device 21, and an image processing module 22. At least one mark 200 is provided on the fixture 20. The mark 200 can be selected as a symbol or a pattern, such as a pattern of a specific shape, such as a dot shape or a cross shape, or a pattern of a specific color, or a light emitting element, such as a light emitting diode. The jig 20 can be operated to move along one side of the spine 900 of a subject 90 to be tested. The posture of the examiner 90 can be detected by bending, standing, lying down or sitting, and there is no certain limit.

The first image capturing device 21 is used for capturing a dynamic image of the jig 20 during the movement of the jig 20 to generate a first image signal. The first image capturing device 21 can be fixed in position, or set on a pedestal that can be moved and rotated in the XYZ direction, or can be held by medical staff for image capture. The first image capturing device 21 can be a general video recorder, a single video recorder with a video recording function, or a smart handheld device such as a mobile phone or a tablet computer (Pad). The image processing module 22 is used to receive the first image signal, and the image processing module 22 analyzes the first image signal to determine that at least one mark 200 on the fixture 20 moves along with the movement of the fixture 20 The trajectory in turn generates measurement information about the spine 900 to be tested. The image processing module 22 is a device with computational processing capabilities, such as a desktop computer, a laptop computer, a workstation, a cloud server, or a smart handheld device, such as a tablet computer or a mobile phone.

In this embodiment, the first image capturing device 21 and the image processing module 22 can be an integrated device (21, 22), such as a smart phone, which has computing and processing capabilities and can also capture dynamic images. . In this embodiment, the application APP can be installed in the smart phone. After the APP program is activated, the photography function is activated in the menu of the program. During the movement of the jig 20 along the side vertebra 90, capture The first image signal of the movement of the fixture 20. The first image signal is then used by the APP's image processing program to find the mark 200 on the jig 20, and then analyze the track of the mark 200.

In addition, in another embodiment, the first image capturing device 21 and the image processing module 22 may be separate devices, for example: the first image capturing device 21 is a video recorder or a smart phone, the The image processing module 22 is a notebook computer or a cloud server. The first image signal captured by the first image capturing device 21 can be transmitted to the arithmetic processing film set 22 through wireless transmission, wired transmission, or a storage medium, such as a USB flash drive. The image processing module 22 is installed with an application program that can analyze the first image signal to find the mark 200 on the fixture 20. Therefore, by executing the application program to process the first image signal, the trace of the mark 200 can be analyzed.

It should be noted that when there is only one mark 200, when the jig 20 moves along the side vertebra 900, the mark 200 will change its position as the jig 20 moves, so when the first image is captured After the capturing device 21 captures the first image signal of the moving process of the fixture 20, the first image signal is processed by the image processing module 22. For example, in one embodiment, the calculation process includes filtering and removing noise , Convert the gray scale, and then use the binarization process to find the position of the mark 200 in each frame of the picture. Following the position of the mark in the different frames of the picture, the trajectory of the mark 200 can be outlined. The trajectory corresponds to the curved trajectory of the side vertebra 900 on the plane. It should be noted that there are many ways to find the mark through image processing and analysis, which are familiar to those skilled in the art, and therefore are not limited by the aforementioned enumerated methods.

In addition, in another embodiment, as shown in FIG. 2, it is a schematic diagram illustrating the use of the jig to measure the scoliosis angle. The left side image of FIG. 2 shows the side spine 900. Take the jig 20 to measure the specific area 900a on the side spine 900 to illustrate. The spine 900 to be tested is connected by a plurality of vertebral segments 903. When the mark 200 is two (or more), use The user moves the jig 20, in addition to determining the curve track of the spine to be side, through the connection of the two marks, the angle between any two adjacent measurement positions of the spine can be found, and then the angle of the spine can be measured. purpose. Taking FIG. 2 as an example, through the image processing program, the two marks 200 are first found when the fixture 20 is in the first position (A) in the area 900a, and the center connection 901 is determined. Then, when the next time point is found, the jig 20 moves to the second position (B), and the center line 902 of the two marks 200 is connected. Through these two connections 901 and 902, the angle θ of scoliosis can be known. It should be noted that, because the mark 200 in this embodiment is in the shape of a dot, more than two are required to calculate the angle. But in another embodiment, if the mark is a shape that can recognize angle changes, such as a cross or other asymmetrical shapes, such as a right-angled triangle, or a polygon with unequal side lengths, a single One mark can calculate the angle.

The foregoing embodiment is used to measure the trajectory and angle of the scoliosis, which belongs to the two-dimensional information of the plane. However, for subjects with scoliosis, in addition to the scoliosis of the internal spine structure, the condition of scoliosis will also affect the position of the entire back skeleton structure and the growth of muscle tissue. Therefore, if you can further understand the surface topography of the spine and its surrounding back, in addition to helping to understand the degree of scoliosis of the subject, it can also help the doctor understand the recovery status in the future rehabilitation process. In this way, there is no need to obtain the topography of the spine through radiography after each correction, which greatly reduces the risk of being affected by the radiation dose.

In an embodiment for obtaining the three-dimensional topography of the spine, the present invention further provides a way to measure the topography of the back surface of the subject. The object 23 is tightly attached to the external tissue of the to-be-side spine 900. In this embodiment, the external tissue of the to-be-side spine 900 is the back of the person to be tested. In this embodiment, the flexible object 23 is a piece of clothing with a specific pattern in the form of a grid. It should be noted that the specific pattern is not limited to squares, and other patterns can also be implemented. For example, in one embodiment, it can also be a pattern with black and white horizontal stripes spaced apart, or a pattern with black and white straight stripes spaced apart. pattern. When the flexible object 23 has not been worn on the subject, the checkered pattern has not been deformed, and therefore has a certain size. When worn on the examinee 90, the checkered pattern is deformed due to the body structure and muscle tissue of the examinee. At this time, the first image capturing device 21 captures image information about the deformation of the flexible object. When processing the image information, the image processing module 22 analyzes the deformed state of the specific pattern according to the deformed image information of the specific pattern to reconstruct the surface topography information of the external tissue and the spine to be measured. The calculation technology for processing the deformation of the specific pattern to obtain the surface topography of the object is a conventional technology, such as: 3D vision reconstruction algorithm or holographic speckle algorithm, etc., and will not be repeated here.

It should be noted that the manner of generating the specific pattern of the grid is not limited to the manner of the flexible object 23. In another embodiment, as shown in FIG. 3C, the system 2a can also be generated by the projection device 28. Structured light 280 with a specific pattern, such as checkerboard structured light, black and white horizontal striped structured light, or black and white straight striped structured light, etc., when projecting the structured light 280 to the external tissue of the side vertebra 900 Above, with the undulation of the back tissue, the specific pattern 281 on the structured light 280 will also be deformed. In this embodiment, the specific pattern 281 is a black and white horizontal striped structured light. Then the first image capturing device 21 obtains an image about the deformation of the structured light 280. When processing the image information, the image processing module 22 analyzes the deformed state of the specific pattern according to the deformed image information of the specific pattern to reconstruct the surface topography information of the external tissue and the vertebra 900 to be tested.

In another embodiment, as shown in FIG. 3D, this figure is a schematic diagram of another embodiment of the scoliosis measurement system of the present invention. Different from the aforementioned method of using structured light or flexible objects with specific patterns, the scoliosis measurement system 2b in this embodiment uses two image capturing devices to calculate the external tissue of the spine 900 on the side. Surface topography. In addition to the first image capturing device 21, this embodiment further has a second image capturing device 21a. The first and second image capturing devices 21 and 21a capture the image from different angles and orientations. The external tissue around the spine 900 to be tested further generates a second and third image signals. The image processing module 22 reconstructs the surface topography information of the external tissue according to the second and third image signals. In this embodiment, the image processing module 22 is a cloud server, the second image signal and the third image signal are transmitted to the cloud server, and the cloud server performs calculations to obtain the surface topography of the external organization News. In another embodiment, the image processing module 22 can be integrated into one of the first or second image capturing device 21 or 21a. In addition, the image processing module 22 can also be a notebook computer or a desktop computer.

Please refer to FIG. 4, which is a schematic diagram of another embodiment of the scoliosis measurement system of the present invention. In this embodiment, the scoliosis measurement system 2c has a cloud server 24 for receiving the measurement information and storing it. The cloud server 24 is a remote data path, which provides a connection communication interface through a wired or wireless network communication protocol to transmit or receive information. The information about the curvature of the spine obtained by the image processing module 22 after calculation processing, such as the deformation trajectory, angle, and surface topography, will be uploaded to the cloud server 24 for storage. In addition, the cloud server 24 can also provide at least one terminal device 25 for connection. The terminal device 25 is used to electrically connect with the cloud server 24 through wired or wireless communication. The terminal device 25 is used to obtain the measurement information and display it on the terminal device 25. The terminal device 25, in an embodiment, may be a desktop computer, a laptop computer, a workstation, a cloud server, or a smart handheld device, such as a tablet computer or a mobile phone. In an embodiment, the terminal device 25 can also be integrated with the first image capturing device 21. For example, in one embodiment, the first image capturing device 21 is a smart phone. In addition to having the functions of image capturing and image processing, it can also be used as a terminal device to connect to the cloud server 24 at any time. Access information stored in the cloud server 24.

In one embodiment, the cloud server 24 further stores a reference information database 240 that stores various rehabilitation information for providing the instructor with the at least one rehabilitation information based on the measurement information. The examiner serves as a reference for rehabilitation. For example, in this embodiment, medical staff can connect to the cloud server 24 through the terminal device 25, through an application installed on the terminal device 25 itself, or use a webpage provided by the cloud server 24 as an interface, one On the other hand, you can view the measurement information of the person to be examined, and then use the application or the built-in intelligent judgment program module 26 on the web page to find at least one type of correction and rehabilitation information from the reference information database 240 and provide it to the medical staff as reference. According to the at least one corrective rehabilitation information, the medical staff decides a suitable rehabilitation method for the examinee, and then transmits it back to the terminal device of the examinee. In another embodiment, the intelligent judgment program module 26 can also activate the automatic mode, and directly and automatically find the appropriate at least one piece of rehabilitation information from the reference information database 240, and then directly transmit it to the terminal device of the person to be examined In this embodiment, the terminal device of the subject to be inspected is an arithmetic processing module 22 integrated with the first image capturing device 21, which is a smart phone. In another embodiment, the terminal device 25 of the examinee is a notebook computer, or a desktop computer, or other devices with network connection, calculation, and display functions, which are connected to the calculation processing module 22 Set separately. It should be noted that in this embodiment, the intelligent determination program module 26 is installed in the cloud server 24, but in another embodiment, the intelligent determination program module 26 may also be installed in the terminal device 25 .

The scoliosis measurement system 2c further has a rehabilitation guidance module 27, which can be set in the cloud server 24, and the rehabilitation guidance module 27 is used to guide the examinee based on the at least one type of rehabilitation information Rehabilitation and correction steps. In one embodiment, after the person to be examined or the rehabilitator activates the rehabilitation guidance module 27, the rehabilitation guidance module 27 may be transmitted to the terminal device 25 through voice or video and audio, and the execution is performed by playing Each step performed by the rehabilitation information. In another embodiment, when the examinee executes the rehabilitation instruction module 27, the first image capturing device 21 can be activated synchronously, and the examinee can be retrieved according to the rehabilitation by the first image capturing device 21. Correction information to perform the process of rehabilitation. The first image capturing device 21 generates a recorded image and uploads it to the cloud server 24. The cloud server 24 can store the recorded image and provide it to medical staff for review. It should be noted that the rehabilitation guidance module 27 can also be arranged in the image processing module 22 of FIG. 1, FIGS. 3A to 3C or FIG. 4. It should be noted that in this embodiment, the rehabilitation guidance module 27 is installed in the cloud server 24, but in another embodiment, the rehabilitation guidance module 27 may also be installed in the terminal device 25 .

Please refer to FIG. 5, which is a schematic flowchart of an embodiment of the scoliosis measurement method of the present invention. The method 3 can be applied to the measurement systems 2 to 2c shown in FIG. 1, FIGS. 3A to 3C or FIG. 4. This embodiment is illustrated with FIG. 4. The method 3 includes the following steps: first, step 30 is performed, using a jig with at least one mark to move it along one side of the spine to be tested of a subject. In this step, referring to FIG. 4, the examinee bends down, and the medical staff uses a jig 20 with a pair of marks 200 to move along the spine 900 of the examinee 90 to be examined.

Next, proceed to step 31 to use a first image capturing device to capture a dynamic image of the fixture during the movement of the fixture to generate a first image signal. In this step, the first image capturing device 21 is fixed at a position, and the field of view faces the inspected area of the subject to directly capture the first image signal of the moving jig 20.

After obtaining the first image signal, proceed to step 32 to receive the first image signal with an image processing module, and the image processing module parses the first image signal to find that at least one mark on the fixture follows the fixture The movement trajectory in the movement process generates measurement information about one of the spine to be measured. The measurement information, in this embodiment, is the trajectory of the scoliosis and the angle of the scoliosis. In addition, in this embodiment, the first image capturing device 21 and the image processing module 22 are integrated on a smart phone, so the image signal generated by the first image capturing device 21 is directly input to the image processing module 22 Perform image analysis. The image processing module 22 has arithmetic processing capabilities. By executing an image processing program, the first image signal is processed to find the position of the mark constituting each frame of the first image signal, and then determine the movement track of the mark . With the marked movement trajectory, the trajectory information of scoliosis can be determined. In addition, since the jig 20 has a pair of marks 200, the angle of the scoliosis of the adjacent spine or two adjacent measurement positions can be determined according to the schematic method of FIG. 2.

Then proceed to step 33 to upload the measurement information to the cloud server for storage. In this step, the cloud server 24 has a database corresponding to each subject's account for storing the measurement information corresponding to each subject. Corresponding accounts have corresponding account passwords to protect the privacy of the inspector.

Please refer to FIG. 6A, which is a schematic diagram of an embodiment of a reconstruction process using measurement information. In this embodiment, the process 4 includes step 40. The medical staff connects to the cloud server through a terminal device. In this step, the system shown in FIG. 4 is taken as an example, the application installed on the terminal device 25 itself, or the webpage provided by the cloud server 24 is used as an interface. Therefore, the medical staff can connect to the cloud server 24 through the terminal device 25 under the authorization of the examinee to obtain the measuring information of the examinee. Then proceed to step 41 to provide corrective rehabilitation information to the subject. In an embodiment of step 41, the medical staff can directly analyze the measurement information through experience, and send appropriate rehabilitation and correction method recommendations to the user through the terminal device.

In another embodiment of step 41, it is also possible to find at least one type of corrective rehabilitation information from a reference information database 240 through an application installed on the terminal device or the intelligent judgment program module 26 built in the webpage. In this embodiment, the intelligent judgment program module 26 is a judgment module composed of programs, and the reference information database 240 in one embodiment is established in the cloud server 24, which stores various Correction and rehabilitation methods. Therefore, when the medical staff executes the intelligent judgment program module 26, the intelligent judgment program module 26 can find the appropriate at least one kind of corrective and rehabilitation information from the reference information database 240 for the scoliosis state of the measurement information. It is displayed on the terminal device of the medical staff, and the medical staff can determine the corrective rehabilitation method suitable for the subject from the at least one corrective rehabilitation information, and then send it back to the terminal device of the subject. It should be explained that the intelligent program judgment module 26 has the learning ability of artificial intelligence (AI). The intelligent program judgment module 26 can receive various measurement information of scoliosis and information on various treatment and rehabilitation methods. Use the algorithms of conventional technology to learn about big data. Therefore, when new measurement information is provided to the intelligent program determination module 26, the intelligent program determination module 26 can generate suggestions for corrective rehabilitation methods based on the measurement information.

Then proceed to step 42, and the subject performs rehabilitation according to the corrective rehabilitation method. In an embodiment of this step, the subject can activate the rehabilitation guidance module 27 to guide the subject in rehabilitation and correction steps based on the at least one type of rehabilitation and correction information. The rehabilitation guidance module 27 stores information about the implementation of each type of correction and rehabilitation, such as: decomposition action description, action precautions, and rehabilitation action replacement reminders, but it is not limited by this, through voice or The way of audio and video is presented on the terminal device used by the examinee. This makes it easier for users to learn and perform corrective and rehabilitation actions.

Please refer to FIG. 6B. The process is basically similar to that of FIG. 6A. The difference is that this embodiment further includes step 43 of uploading and performing the correction and rehabilitation process. In this step, it is mainly to allow the subject to interact with the medical staff when performing the corrective rehabilitation method, rather than only one-way guidance from the rehabilitation guidance module 27. In an embodiment of this step, the subject can activate the first image capturing device 21. Taking FIG. 4 as an example, since the first image capturing device 21 is a smart phone, the internally installed APP can be used to initiate uploading. Mode. At this time, while the subject is performing the corrective rehabilitation procedure, the actions performed by the subject can be recorded at the same time, and the relevant image will be captured when the subject performs the rehabilitation step to generate a recorded image and upload it to The cloud server 24. At this time, the medical staff can use their terminal device to watch the video, provide real-time guidance information, and interact with the examinee performing corrective rehabilitation. The interaction between the medical staff and the examinee can be immediate interaction to give opinions or suggestions, or to give opinions or build billions afterwards.

Please refer to FIG. 7, which is a schematic flowchart of another embodiment of the scoliosis measurement method of the present invention. In this embodiment, it is basically a measurement method formed by combining the flow of FIG. 5 with FIG. 6A or FIG. 6B. The method 5 includes using step 50 to execute the flow of FIG. 5 first, and then to step 51, and repeat the rehabilitation procedure as shown in FIG. 6A or FIG. 6B several times in a period of time. In this step, the period can be carried out in units of days, weeks or months. After the procedure of step 51 is completed, step 52 is performed again, that is, the procedure of FIG. 5 is repeated to measure the scoliosis of the subject again to track the effect of rehabilitation for a long time. Through the method shown in Figure 7, the correction and rehabilitation of the subject can be effectively grasped under the condition of reducing the use of radiation exposure.

The above description only describes the preferred implementations or examples of the technical means adopted by the present invention in order to solve the problems, and is not intended to limit the scope of implementation of the patent of the present invention. That is to say, all changes and modifications that are consistent with the scope of the patent application of the present invention or made in accordance with the scope of the patent of the present invention are covered by the scope of the present patent.

2, 2a, 2b, 2c: Scoliosis measurement system 20: Fixture 200: Mark 21: First image capture device 22: Image processing module 23: Flexible object 24: Cloud server 240: Reference information Library 25: Terminal device 26: Intelligent judgment program module 27: Rehabilitation guidance module 28: Projection equipment 3~5: Method flow 30~33: Step 40~43: Step 50~52: Step 90: Subject 900 : Spine to be tested 901~902: Connection 903: Spine section

Fig. 1 is a schematic diagram of a scoliosis measurement system according to an embodiment of the present invention. Fig. 2 is a schematic diagram of an embodiment of measuring the scoliosis angle by using a jig according to the present invention. 3A is a schematic diagram of a flexible object according to an embodiment of the invention. Fig. 3B is a schematic diagram of a scoliosis measurement system according to another embodiment of the present invention. 3C is a schematic diagram of a scoliosis measurement system according to another embodiment of the present invention. Fig. 3D is a schematic diagram of a scoliosis measurement system according to another embodiment of the present invention. 4 is a schematic diagram of a scoliosis measurement system according to another embodiment of the present invention. Fig. 5 is a schematic flow chart of an embodiment of the scoliosis measurement method of the present invention. 6A and 6B are schematic diagrams of an embodiment of the correction and reconstruction of the scoliosis measurement method using measurement information of the present invention. FIG. 7 is a schematic flowchart of another embodiment of the scoliosis measurement method of the present invention.

2: Scoliosis measurement system

20: Fixture

200: mark

21: The first image capture device

22: Image processing module

90: Subject

900: Spine to be tested

Claims (22)

A scoliosis measurement system includes: a jig for moving along one side of the spine to be measured of a subject, the jig has at least one mark; a first image capturing device for During the movement of the fixture, a dynamic image of the fixture is captured to generate a first image signal; and an image processing module for receiving the first image signal. The image processing module is controlled by the An image signal analyzes the movement track of at least one mark on the fixture along with the movement of the fixture, and then generates a piece of measurement information about the spine to be tested. The scoliosis measurement system described in the first item of the scope of patent application, wherein the mark is a luminous body, a pattern of a specific shape, or a pattern of a specific color. The scoliosis measurement system described in the first item of the scope of patent application, wherein the measurement information is a scoliosis state information of the spine to be measured, a surface topography information, or a combination of the two. For example, the scoliosis measurement system described in item 3 of the scope of patent application further includes a flexible object with a specific pattern that is tightly attached to the external tissue of the to-be-side spine or is a specific pattern A structured light is projected on the external tissue of the side spine, the first image signal further includes image information about the deformation of the specific pattern, and the image processing module analyzes the deformation of the specific pattern according to the image information of the specific pattern deformation State to reconstruct the surface topography information of the external tissue and the spine to be tested. For example, the scoliosis measurement system described in item 1 of the patent application has a cloud server for receiving the measurement information and storing it. For example, the scoliosis measurement system described in item 5 of the scope of patent application has a terminal device for coupling with the cloud server, and the terminal device is used to obtain the measurement information, and the terminal device The device displays. For example, in the scoliosis measurement system described in item 5 of the scope of patent application, the cloud server further stores a reference information database that stores various rehabilitation and correction information to provide instructors based on the measurement information. The at least one type of rehabilitation correction information is provided to the subject as a rehabilitation reference. For example, the scoliosis measurement system described in item 7 of the scope of patent application further includes a rehabilitation guidance module for guiding the subject to the rehabilitation and correction steps based on the at least one rehabilitation and correction information. An image capturing device captures related images when the subject is performing the rehabilitation and correction steps to generate a recorded image and upload it to the cloud server. For example, the scoliosis measurement system described in item 3 of the scope of patent application further has a second image capturing device. The first and second image capturing devices respectively capture the external tissues around the vertebra to be tested , And then generate a second and third image signals, and the image processing module reconstructs the surface topography information of the external tissue according to the second and third image signals. For the scoliosis measurement system described in the first item of the patent application, the first image capturing device and the image processing module are installed in the same device, or are installed in different devices. For example, the scoliosis measurement system described in item 1 of the scope of patent application, wherein when the mark is a single point, the measurement information includes the trajectory of the spine to be measured, and the mark is two or more dots or When it is a shape that can recognize the angle change, the measurement information includes the bending angle of at least one specific position of the spine to be measured. A method for measuring scoliosis, which includes the following steps: using a jig with at least one mark to move it along one side of the spine to be tested of a subject; using a first image capturing device , In the process of moving the jig, capturing the dynamic image of the jig to generate a first image signal; and receiving the first image signal by an image processing module, and the image processing module is controlled by the first image signal The image signal analyzes the movement trajectory of at least one mark on the fixture along with the movement of the fixture, thereby generating measurement information about the spine to be tested. The scoliosis measurement method described in item 12 of the scope of patent application, wherein the mark is a luminous body, a pattern of a specific shape, or a pattern of a specific color. According to the scoliosis measurement method described in claim 12, the measurement information is a scoliosis state information of the spine to be measured, a surface topography information, or a combination of the two. For example, the method for measuring scoliosis described in item 14 of the scope of the patent application further includes the following steps: providing a flexible object with a specific pattern to closely adhere to the external tissue of the vertebra to be side or with a A structured light of a specific pattern is projected on the external tissue of the to-be-side spine, the first image signal further includes image information about the deformation of the specific pattern; and the image processing module analyzes the image information about the deformation of the specific pattern The deformed state of the specific pattern reconstructs the surface topography information of the external tissue and the spine to be tested. For example, the scoliosis measurement method described in item 12 of the scope of patent application has a cloud server for receiving the measurement information and storing it. For example, the scoliosis measurement method described in the scope of the patent application has a terminal device for coupling with the cloud server, and the terminal device is used to obtain the measurement information and log on the terminal device. The device displays. For example, in the scoliosis measurement method described in item 16 of the scope of patent application, the cloud server further stores a reference information database that stores various rehabilitation and correction information to provide instructors with information based on the scoliosis state. The at least one type of rehabilitation and correction information is provided to the subject as a rehabilitation reference. For example, the scoliosis measurement method described in item 18 of the scope of patent application further includes the following steps: Provide a rehabilitation guidance module to guide the subject in rehabilitation based on the at least one rehabilitation correction information Correcting step; and enabling the first image capturing device to capture a relevant image when the subject performs the rehabilitation and correcting step to generate a recorded image and upload it to the cloud server. For example, the scoliosis measurement method described in claim 14 further includes the following steps: providing a second image capturing device; the first and second image capturing devices respectively capture the to-be-tested The external tissue around the spine further generates a second and third image signals; and the image processing module reconstructs the surface topography information of the external tissue according to the second and third image signals. In the scoliosis measurement method described in item 12 of the scope of patent application, the first image capturing device and the image processing module are installed in the same device, or are installed in different devices. For example, the scoliosis measurement method described in item 12 of the scope of patent application, wherein when the mark is a single point, the measurement information includes the trajectory of the spine to be measured, and the mark is two or more dots or When it is a shape that can recognize the angle change, the measurement information includes the bending angle of at least one specific position of the spine to be measured.

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