TWI681755B - 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

System and method for measuring scoliosis

The present invention is a spine measuring bay measuring technology, in particular, a spine scoliosis measuring system that uses a combination of a jig and an image capturing device to measure scoliosis, or scoliosis and spine surface topography And methods.

In general clinical use, X-rays are used for scoliosis screening and diagnosis. The system can be divided into two types. The first type is direct X-ray imaging irradiation, for example: Chinese Patent No. CN108053394 or the Republic of China Patent No. 201042556 and others belong to this category. The second type is to install an angle-detecting application (APP) on a smart handheld device and place the handheld device on an X-ray image for measurement, for example, the CobbMeter APP for commercially available smart handheld devices. Although the X-ray image can clearly see the scoliosis of the human spine, it cannot be used for a large number of screening tests due to medical costs and radiation exposure.

Therefore, in the conventional technique, another measurement method is to use the Adam (Adam) flexion test as a screening test. Although this method can detect the presence or absence of scoliosis, it cannot quantify the patient's rotation angle and predict the degree of scoliosis. Therefore, in the conventional technique, a scoliometer is used in combination with a subflexion test to measure scoliosis. The scoliosis protractor mainly measures the angle of trunk rotation (ATR). If the measurement angle is greater than 5 degrees, it is determined that there is scoliosis, but in general, this method still needs to be further matched with X-ray film for diagnosis .

In another embodiment, a device, system, and method for characterizing spinal deformity as disclosed in Republic of China Patent Publication 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 kyphosis of the kyphosis. In addition, there is a measurement method using ultrasound, for example: the technology taught by Chinese Patent No. CN106361376.

In addition, US Patent No. US4832049 also teaches that through at least one set of obliquely projecting a linear beam (slit beam) to the patient's back, and then using an image capture device to capture images about the light source, which can determine the degree of scoliosis status.

The invention provides a scoliosis measurement system and method, which uses a fixture with at least one mark to move along the spine of a person to be sideways, captures an image about the fixture through an image capture device, and then Analyze the movement track marked on the jig, and then get the information about the curvature of the spine. By means of image capture combined with jigs, the condition of scoliosis can be effectively and accurately measured.

The present invention provides a scoliosis measurement system and method. Furthermore, the second image capture device or a flexible object with a specific pattern can be closely attached to the external tissue of the lateral spine, for example, to be inspected The back of the tester further measures the surface morphology of the tester's back. In this way, the shape of the back of the subject to be tested can be quickly obtained at a relatively low cost without scanning a large area, which can be used as information to assist in judging the condition of the spine. In addition, through the detection and recording of the back surface topography, it can be used as an auxiliary judgment tool for the degree of recovery of future rehabilitation conditions, reducing the risk of using radiographic imaging.

In one embodiment, the present invention provides a scoliosis measurement system, which includes a jig, a first image capture device, and an image processing module. The jig is used to move along one side of a subject's spine to be tested, and the jig has at least one mark. The first image capturing device is used to capture a dynamic image about the at least one mark on the fixture during the movement of the fixture to generate a first image signal. The image processing module is used to receive the first image signal, and the image processing module parses out the at least one mark on the jig along with the moving track of the jig during the movement of the jig, thereby generating information about the first image signal Measurement information of one of the vertebrae to be measured.

In one embodiment, the present invention provides a method for measuring scoliosis, which includes the following steps. First, a jig with at least one mark is used so that it is along one side of a subject's spine to be measured mobile. Then, a first image capturing device is used to capture a dynamic image of the fixture with respect to the at least one mark during the movement of the fixture to generate a first image signal. Finally, an image processing module receives the first image signal, and the image processing module parses out the at least one mark on the jig along with the movement path of the jig during the movement of the jig, thereby generating Measurement information about one of the vertebrae to be measured.

In one embodiment, the scoliosis measurement system further includes a flexible object with a specific pattern tightly attached to the external tissue of the lateral spine, and the first image signal further includes information about the deformation of the specific pattern For image information, the image processing module analyzes the deformed state of the specific pattern according to the image information deformed by 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 external tissues around the spine to be measured, thereby generating a second And the 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, with reference 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 interpreted as being limited to the exemplary embodiments set forth herein. Rather, providing these exemplary embodiments will make the invention detailed and complete, and will fully convey the scope of the inventive concept to those skilled in the art. Similar numbers always indicate similar components. The following describes the scoliosis measurement system and method with various embodiments and drawings. However, the following embodiments are not intended to limit the present invention.

Please refer to FIG. 1, which is a schematic diagram of a scoliosis measurement system of the present invention. The system 2 includes a jig 20, a first image capturing device 21, and an image processing module 22. The jig 20 has at least one mark 200 on it. The mark 200 can be selected as a symbol or a pattern, for example, a pattern of a specific shape, for example, a dot shape or a cross shape, or a pattern of a specific color, or a light-emitting element, for example, a light-emitting diode. The jig 20 can be operated to move along one side of the spine 900 of the subject 90 to be tested. The posture of the tester 90 can be bent over, stood, lying down or sitting while being tested, and there is no certain limit.

The first image capturing device 21 is used to capture the 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 at a position, or can be installed on a pedestal that can move and rotate in the XYZ direction, or can be held by medical personnel to capture images. The first image capturing device 21 may be a general video recorder, a single video recorder with a 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 parses out the at least one mark 200 on the jig 20 from the first image signal as the jig 20 moves during the movement The trajectory further generates measurement information about the spine 900 to be measured. The image processing module 22 is a device with arithmetic 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 may be integrated devices (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 smartphone, after starting the APP program, the photography function is activated in the menu of the program, and the jig 20 is captured during the movement of the fixture 20 along the to-be-spine 90 The first image signal that the jig 20 moves. The first image signal is then processed by the APP's image calculation processing program to find the mark 200 on the jig 20, and then the trajectory of the mark 200 is analyzed.

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 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 group 22 through wireless transmission, wired transmission, or a storage medium such as a USB flash drive. An application program that can parse the first image signal and find the mark 200 on the jig 20 is installed in the image processing module 22. Therefore, by executing the application program to process the first image signal, the trajectory of the mark 200 is resolved.

It should be noted that when there is only one mark 200, and when the jig 20 moves along the lateral spine 900, the mark 200 will change its position as the jig 20 moves, so when the first image is captured After the fetching device 21 captures the first image signal during the movement of the jig 20, the first image signal is processed by the image processing module 22, for example, in one embodiment, the calculation process includes filtering to remove noise 1. Convert the gray scale, and then use the binarization process to find the position of the mark 200 in each frame of the picture. With the position of the mark in the picture of different frames, the track of the movement of the mark 200 can be outlined. The trajectory corresponds to the curved trajectory of the spinal vertebra 900 on the plane. It should be noted that there are many ways to find the mark through image processing analysis, and it is familiar to those skilled in the art, so it is not limited to the foregoing enumeration.

In addition, in another embodiment, as shown in FIG. 2, it is a schematic diagram illustrating the measurement of scoliosis angle using the jig. The left picture of FIG. 2 shows the spine 900 to be flank. Taking the measurement of the jig 20 on a specific region 900a of the spine 900 to be tested, the spine 900 to be tested is formed by connecting a plurality of vertebral nodes 903. When the mark 200 is two (or more), use In addition to determining the bending trajectory of the spine to be traversed, the mover 20 can find the angle between the spine at any two adjacent measurement positions through the connection of the two markers, thereby measuring the spine bending angle purpose. Taking FIG. 2 as an example, through the image processing procedure, first find the two marks 200 when the jig 20 is in the first position (A) in the area 900a, and determine its center connection 901. Then, when the next time point is found, it moves to the second position (B) with the jig 20, 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 a dot shape, it requires more than two to calculate the angle. However, in yet another embodiment, if the mark is a shape that can recognize the angle change, for example: when the cross is or there are other asymmetric shapes, such as: right triangle, or polygon with unequal length, you can use the single One marker can calculate the angle.

The foregoing embodiments are used to measure the trajectory and angle of scoliosis, which belong to two-dimensional information on the plane. However, for subjects with scoliosis, in addition to scoliosis of the internal spine structure, the condition of scoliosis will also affect the position of the entire back skeleton structure and the state of muscle growth. Therefore, if you can further grasp the surface morphology 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 during the future rehabilitation process. In this way, it is not necessary to obtain the shape 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 method for measuring the topography of the back of the subject, as shown in FIGS. 3A and 3B. In this embodiment, there is a flexibility of a specific pattern The object 23 is closely attached to the external tissue of the to-be-spine spine 900. In this embodiment, the external tissue of the to-be-spine spine 900 is the back of the subject. In this embodiment, the flexible object 23 is a piece of clothing with a specific pattern in a checkered shape. 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 separated by black and white horizontal stripes, or a pattern separated by black and white straight stripes pattern. When the flexible object 23 has not been worn on the subject, the checkered pattern has not been deformed, so it has a certain size. When worn on the person to be inspected 90, the checkered pattern is deformed because of the body structure and muscle tissue to be inspected. 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 image information deformed by the specific pattern to reconstruct the surface topography information of the external tissue and the spine to be measured. The calculation technique for processing the deformation of the specific pattern to obtain the surface shape of the object is a conventional technique, such as: 3D vision reconstruction algorithm or holographic speckle algorithm, etc., which will not be repeated here.

It should be noted that the specific pattern of the checkered shape is not limited to 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, for example: checkerboard structured light, black and white horizontal stripe structured light, or black and white straight stripe structured light, etc., when the structured light 280 is projected to the external tissue of the spine 900 to be laterally As described above, as the back tissue rises and falls, the specific pattern 281 on the structured light 280 will also be deformed. In this embodiment, the specific pattern 281 is black and white horizontally 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 image information deformed by the specific pattern to reconstruct the surface topography information of the external tissue and the spine 900 to be measured.

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. Unlike the aforementioned method of using a specific pattern of structured light or a flexible object, the scoliosis measurement system 2b in this embodiment uses two image capture devices to calculate the external tissue of the spine 900 Surface topography. In addition to having 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 respectively capture the image from different angles. The external tissue around the spine 900 to be measured generates a second and third image signal. 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 then the cloud server performs calculations to obtain the surface morphology of the external organization News. In another embodiment, the image processing module 22 may 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 further includes a cloud server 24 for receiving the measurement information and storing it. The cloud server 24 is a remote data path, and provides an interface for connection communication through a wired or wireless network communication protocol to transmit or receive information. The information obtained by the image processing module 22 after the arithmetic processing on the spine bending measurement, such as the deformed trajectory, angle, and surface topography, is 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 to 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. In one embodiment, the terminal device 25 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 the functions of image capturing and image computing processing, it can also be used as a terminal device and can be connected to the cloud server 24 at any time to Access the information stored in the cloud server 24.

In one embodiment, the cloud server 24 further stores a reference information database 240 that stores various kinds of rehabilitation and correction information to provide the instructor with the at least one kind of rehabilitation and correction information based on the measurement information to the subject The examiner serves as a reference for rehabilitation. For example, in this embodiment, medical personnel can connect to the cloud server 24 through the terminal device 25, through an application installed in the terminal device 25 itself, or use a web page provided by the cloud server 24 as an interface, a Aspects can view the measurement information of the person to be inspected, and then through the application or the intelligent judgment program module 26 built in the webpage, the reference information database 240 finds at least one kind of corrective rehabilitation information and provides it to medical personnel as reference. The medical staff determines the appropriate rehabilitation method for the examinee based on the at least one kind of corrected rehabilitation information, and then sends it back to the terminal device of the examinee. In another embodiment, the intelligent judgment program module 26 can also start an automatic mode, directly and automatically find suitable at least one piece of rehabilitation information directly from the reference information database 240, and then directly transmit it to the terminal device of the examinee In this embodiment, the terminal device of the examinee 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, a desktop computer, or other device with network connection, calculation, and display functions, which is connected to the calculation processing module 22 Set separately. It should be noted that in this embodiment, the intelligent judgment program module 26 is provided in the cloud server 24, but in another embodiment, the intelligent judgment program module 26 may also be provided in the terminal device 25 .

The scoliosis measurement system 2c further has a rehabilitation guidance module 27, which can be installed in the cloud server 24, and the rehabilitation guidance module 27 is used to guide the subject to be inspected based on the at least one rehabilitation correction information Rehabilitation corrective steps. In one embodiment, after the person to be examined or the rehabilitation person activates the rehabilitation guidance module 27, the rehabilitation guidance module 27 may be transmitted to the terminal device 25 by voice or audiovisual for execution Each step performed by the rehabilitation information. In another embodiment, when the examinee executes the rehabilitation instruction module 27, the first image capture device 21 can be simultaneously activated, and the first image capture device 21 can be used to capture the examinee according to the rehabilitation Correct information to perform rehabilitation process. 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 personnel for review. It should be noted that the rehabilitation guidance module 27 may also be provided in the image processing module 22 of FIGS. 1, 3A to 3C, or 4. It should be noted that in this embodiment, the rehabilitation guidance module 27 is provided in the cloud server 24, but in another embodiment, the rehabilitation guidance module 27 may also be provided in the terminal device 25 .

Please refer to FIG. 5, which is a schematic flowchart of an embodiment of a method for measuring scoliosis according to 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, and this embodiment is illustrated by 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 a subject's spine to be tested. In this step, as shown in FIG. 4, the examinee bends over, and the medical staff uses the jig 20 with a pair of marks 200 to move along the spine 900 to be tested of the examinee 90.

Then, step 31 is performed, and a first image capturing device is used to capture the 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 with a field of view facing the area to be examined, and directly captures the first image signal of the dynamic fixture 20 moving.

After obtaining the first image signal, step 32 is performed to receive the first image signal with an image processing module, and the image processing module parses out the at least one mark on the jig along with the jig from the first image signal The movement trajectory during the movement, and then generates measurement information about the spine to be measured. In this embodiment, the measurement information is the trajectory of scoliosis and the angle of scoliosis. In addition, in this embodiment, the first image capturing device 21 and the image processing module 22 are integrated on a smartphone, 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 an arithmetic processing capability. By executing an image processing program, the first image signal is processed to find the position of the mark constituting each frame in the first image signal, and then the movement path of the mark is determined . 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 scoliosis of adjacent vertebrae or two adjacent measurement positions can be determined according to the manner illustrated in 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 measurement information corresponding to each subject. Corresponding accounts have corresponding account passwords to provide the protection of detector privacy.

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, medical personnel are connected to the cloud server through the terminal device. In this step, taking the system shown in FIG. 4 as an example, the application program installed in the terminal device 25 itself, or uses the web page provided by the cloud server 24 as an interface. Therefore, medical personnel can connect to the cloud server 24 through the terminal device 25 under the authorization of the examinee to obtain the measurement information of the examiner. Then step 41 is performed to provide a patient with corrective rehabilitation information. In an embodiment of step 41, the medical staff can directly analyze the measurement information through experience, and send appropriate rehabilitation correction methods to the user through the terminal device.

In another embodiment of step 41, at least one kind of corrective rehabilitation information can be found from a reference information database 240 through the application program installed in the terminal device or the intelligent judgment program module 26 built in the web page. In this embodiment, the intelligent judgment program module 26 is a judgment module composed of programs, and in one embodiment, the reference information database 240 is built in the cloud server 24, which stores various Correction and reconstruction methods. Therefore, when the medical personnel execute the intelligent judgment program module 26, the intelligent judgment program module 26 can find at least one kind of corrective rehabilitation information from the reference information database 240 of 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 correct rehabilitation method for the examinee from the at least one kind of corrective rehabilitation information, and then send it back to the terminal apparatus of the examinee. It should be noted that the intelligent program judgment module 26 has the learning ability of artificial intelligence (artificial intelligence, AI). The intelligent program judgment module 26 can receive various measurement information of scoliosis and various kinds of correction and rehabilitation methods. Use the algorithms of conventional technology to learn the data of big data. Therefore, when new measurement information is provided to the intelligent program judgment module 26, the intelligent program judgment module 26 can generate a correction and rehabilitation method recommendation based on the measurement information.

Next, step 42 is performed, and the subject undergoes reconstruction according to the corrective rehabilitation method. In an embodiment of this step, the subject may activate the rehabilitation instruction module 27 to guide the subject to the rehabilitation correction step based on the at least one rehabilitation correction information. The rehabilitation instruction module 27 stores the implementation method of each kind of corrective rehabilitation information, such as: decomposition action instructions, action notes, and reminders for replacement of rehabilitation actions, etc., but not limited to this, through voice or The audiovisual method is presented on the terminal device used by the examinee. This makes it easier for users to learn and perform corrective and rehabilitation exercises.

Please refer to FIG. 6B. The flow is basically similar to FIG. 6A. The difference is that in this embodiment, step 43 is further included to upload and execute the correction and rehabilitation process. In this step, the main purpose is 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 smartphone, it can use the internally installed APP to start uploading In this mode, while the subject is performing the correction and rehabilitation procedure, the actions performed by the subject can be recorded at the same time, and the relevant image is captured when the subject performs the rehabilitation and correction step to generate a recorded image and upload to The cloud server 24. At this time, medical staff can use their terminal device to watch the video image, provide real-time guidance information, and interact with the subject who performs corrective rehabilitation. The interaction between the medical staff and the examinee can give opinions or suggestions for immediate interaction, or give opinions or suggestions afterwards.

Please refer to FIG. 7, which is a schematic flowchart of another embodiment of a method for measuring scoliosis according to the present invention. In this embodiment, the measurement method is basically formed by combining the flow of FIG. 5 with FIG. 6A or FIG. 6B. The method 5 includes the use of step 50, first performing the flow of FIG. 5, and then proceeding to step 51, and repeating the rehabilitation procedure as shown in FIG. 6A or FIG. 6B several times during a period of time. In this step, the period can be performed in units of days, weeks, or months. After the procedure of step 51 is completed, step 52 is repeated, that is, the process of FIG. 5 is repeated, and the scoliosis of the subject is measured again to track the effectiveness of rehabilitation for a long time. Through the method of FIG. 7, it is possible to effectively grasp the subject’s correction and rehabilitation under the condition of reducing the radiation exposure.

The above descriptions only describe the preferred embodiments or examples of the technical means adopted by the present invention to solve the problem, and are not intended to limit the scope of the patent implementation of the present invention. That is, any changes and modifications that are consistent with the context of the patent application scope of the present invention, or made in accordance with the patent scope of the present invention, are covered by the patent scope of the present invention.

2. 2a, 2b, 2c ‧‧‧ scoliosis measurement system 20‧‧‧ Fixture 200‧‧‧ mark 21‧‧‧First image capture device 22‧‧‧Image processing module 23‧‧‧Flexible objects 24‧‧‧ cloud server 240‧‧‧Reference Information Database 25‧‧‧terminal device 26‧‧‧Intelligent judgment program module 27‧‧‧Rehabilitation Guidance Module 28‧‧‧Projection equipment 3~5‧‧‧Method 30~33‧‧‧ steps 40~43‧‧‧ steps 50~52‧‧‧step 90‧‧‧ subject 900‧‧‧Spine to be tested 901~902‧‧‧Connect 903‧‧‧Spine

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

2‧‧‧Spine scoliosis measurement system

20‧‧‧ Fixture

200‧‧‧ mark

21‧‧‧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 a subject's spine to be tested, the jig has at least one mark; a first image capturing device for During the movement of the jig, the dynamic image of the jig is captured to generate a first image signal; and an image processing module is used to receive the first image signal. The image processing module An image signal parses out the movement trajectory of at least one mark on the jig along with the movement of the jig, thereby generating measurement information about the spine to be measured. The scoliosis measurement system as described in item 1 of the patent scope, wherein the mark is a luminous body, a pattern of a specific shape, or a pattern of a specific color. The scoliosis measurement system as described in item 1 of the patent application scope, wherein the measurement information is information on a scoliosis state of the spine to be measured, a surface topography information, or a combination of the two. The scoliosis measurement system as described in item 3 of the patent application scope further includes a flexible object with a specific pattern adhered to the external tissue of the spine to be laterally or with a specific pattern A structured light is projected on the external tissue of the to-be-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 deformation of the specific pattern State to reconstruct the surface topography information of the external tissue and the spine to be tested. The scoliosis measurement system described in item 1 of the patent application scope is further provided with a cloud server for receiving the measurement information and storing it. As described in Item 5 of the patent application scope, the scoliosis measurement system is further provided with a terminal device for coupling with the cloud server, and the terminal device is used to obtain the measurement information and to the terminal The device displays. The scoliosis measurement system as described in item 5 of the patent scope, wherein the cloud server further stores a reference information database, which stores various rehabilitation and correction information to provide guidance personnel based on the measurement information to provide The at least one rehabilitation correction information is given to the subject as a rehabilitation reference. The scoliosis measurement system as described in item 7 of the patent application scope further includes a rehabilitation instruction module for guiding the subject to the rehabilitation correction step based on the at least one rehabilitation correction information. An image capturing device further captures relevant images when the subject performs the rehabilitation and correction steps to generate a recorded image and upload it to the cloud server. The scoliosis measurement system as described in item 3 of the patent application scope is further provided with a second image capturing device. The first and second image capturing devices respectively capture external tissues around the spine to be measured In order to generate a second and third image signal, the image processing module reconstructs the surface topography information of the external tissue according to the second and third image signals. The scoliosis measurement system as described in item 1 of the patent application scope, wherein the first image capturing device and the image processing module are provided in the same device or in different devices. The scoliosis measurement system as described in item 1 of the patent application scope, wherein when the mark is a single point, the measurement information includes the trajectory of the spine to be measured, and the mark is more than two dots or When it is possible to identify the shape with changing angle, the measurement information includes the bending angle of at least a 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 along one side of a subject's spine to be measured; using a first image capturing device During the movement of the jig, the dynamic image of the jig is captured to generate a first image signal; and the first image signal is received by an image processing module, the image processing module is controlled by the first The image signal parses out the movement trajectory of at least one mark on the jig along with the movement of the jig, thereby generating measurement information about the spine to be measured. The method for measuring scoliosis as described in item 12 of the patent application scope, wherein the mark is a luminous body, a pattern of a specific shape, or a pattern of a specific color. The method for measuring scoliosis as described in item 12 of the patent application scope, wherein the measurement information is information on a scoliosis state of the spine to be measured, a surface topography information, or a combination of the two. The method for measuring scoliosis as described in item 14 of the patent application scope further includes the following steps: providing a flexible object with a specific pattern to be closely attached to the external tissue of the spine to be laterally or having a A structured light of a specific pattern is projected on the external tissue of the lateral vertebra, the first image signal further includes image information about the deformation of the specific pattern; and the image processing module analyzes the image based on the image information of 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. The method for measuring scoliosis as described in item 12 of the patent application scope further includes a cloud server for receiving the measurement information and storing it. The method for measuring scoliosis as described in item 16 of the patent application scope is further provided with a terminal device for coupling with the cloud server, and the terminal device is used to obtain the measurement information and to the terminal The device displays. The method for measuring scoliosis as described in item 16 of the patent scope, wherein the cloud server further stores a reference information database, which stores various rehabilitation and correction information to provide guidance personnel according to the status of the scoliosis, Provide the at least one rehabilitation correction information to the subject as a rehabilitation reference. The method for measuring scoliosis as described in item 18 of the patent application scope further includes the following steps: Provide a rehabilitation instruction module to guide the subject to rehabilitation based on the at least one rehabilitation correction information A correction step; and causing the first image capture device to capture relevant images when the subject performs the rehabilitation correction step to generate a recorded image and upload it to the cloud server. The method for measuring scoliosis described in item 14 of the patent application scope further includes the following steps: providing a second image capturing device; the first and second image capturing devices respectively capture the to-be-measured The external tissue around the spine generates a second and third image signal; and the image processing module reconstructs the surface topography information of the external tissue according to the second and third image signal. The method for measuring scoliosis as described in item 12 of the patent application scope, wherein the first image capturing device and the image processing module are provided in the same device or in different devices. The method for measuring scoliosis as described in item 12 of the patent application scope, wherein when the mark is a single point, the measurement information includes the trajectory of the spine to be measured, and the mark is more than two dots or When it is possible to identify the shape with changing angle, the measurement information includes the bending angle of at least a specific position of the spine to be measured.

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