Equipment for diagnosing skull deformity of children

Abstract

The invention relates to equipment for diagnosing head deformity of children. The equipment comprises a scanning assembly, a display, an input assembly, an image acquisition assembly and a computing platform, the scanning assembly comprises a shell, a supporting structure and a bottom circular ring, camera mounting positions are uniformly distributed on the bottom circular ring, and the camera fixing assembly comprises an angle adjuster capable of adjusting the shooting angle; the image acquisition assembly comprises a camera and a concentrator; system application software is loaded in the computing platform; the system application software can realize the functions of three-dimensional reconstruction, deformity judgment and classification and visual operation; the camera is connected with the concentrator, and the concentrator is connected with the computing platform; the supporting structure comprises a hub fixing plate, a computing platform clamping groove and a camera driving circuit fixing plate which are respectively used for fixing a hub, a computing platform and a camera driving circuit of a camera. Compared with the prior art, the method has the advantages of high-density integration and space optimization; the method has the advantages of accurate discrimination, simple operation, no radiation and the like.

Description

Technical Field

[0001] This invention relates to the field of neurosurgical equipment technology, and in particular to a device for diagnosing cranial deformities in children. Background Technology

[0002] Cranial deformities refer to a series of abnormalities and deviations in a child's skull, manifested as asymmetry of the skull or inconsistent facial shapes. The main types of cranial deformities include plagiocephaly, brachycephaly, and craniosynostosis, with craniosynostosis being a common cause of skull deformities. It is a congenital defect. Cranial deformities are common in pediatric neurosurgery. If left untreated, they not only affect the appearance of the skull but may also lead to serious complications such as visual and hearing impairments, balance problems, epilepsy, and brain maldevelopment, impacting a child's health and growth. Therefore, the ability to quickly and accurately identify cranial deformities in children is of great importance for understanding children's skull health.

[0003] Currently, my country lacks unified standards for the diagnosis and treatment of pediatric cranial deformities. In some regions, manual measurement methods are still used, typically employing a measuring ruler to directly measure the skull's shape parameters. This manual method requires experienced doctors and prolonged direct contact with the child, demanding a high degree of cooperation from the child. Besides manual measurement, radiological diagnostic methods such as 3D CT (Computed Tomography) are frequently used. These provide high-resolution, detailed images of the skull and facial structures, clearly showing the state of cranial sutures. While highly accurate, this method exposes the child to significant radiation, leading some parents to refuse it. Another diagnostic method using medical imaging is MRI (Magnetic Resonance Imaging). MRI can diagnose and assess various cranial deformities, such as craniosynostosis, craniodysplasia, and plagiocephaly. MRI's advantage in assessing skull shape lies in its clear imaging of skeletal structures. Although MRI does not pose a radiation risk, it also has limitations, such as higher cost, sensitivity to metals, longer examination times, and the need for good child cooperation.

[0004] Patent CN202010286743.5 discloses a pediatric skull scanner. The scanner consists of a scanning section, a MEG measurement cap, and an external terminal. The scanning section includes a worktable, four scanning supports surrounding the worktable, and a scanning structure atop the supports. The external terminal includes HandySCAN 3D processing software, 3Dslicer processing software, a fitting algorithm module, a display device, and a cloud storage module. The worktable has an octagonal base plate with a centrally located lifting platform driven by a lifting motor. The lifting platform has a worktable surface at its top. The bottom surface of the worktable base plate has four mutually perpendicular guide rails driven by servo motors. This scanner can use 3D imaging technology to map the 3D structure of a child's skull, aiding in medical diagnosis, treatment, and data preservation. However, the fixed structure lacks spatial adaptability and has high maintenance costs.

[0005] In summary, current diagnostic methods often require expensive medical equipment, which is costly and time-consuming for families with limited resources, making these methods less than ideal. Therefore, developing more convenient, cost-effective, safe, and efficient diagnostic equipment is a crucial direction for the development of pediatric craniotomy. Summary of the Invention

[0006] The purpose of this invention is to overcome the shortcomings of the existing technology and provide a device for diagnosing cranial deformities in children, featuring high-density integration and space optimization; accurate diagnosis, simple operation, and no radiation.

[0007] The objective of this invention can be achieved through the following technical solutions:

[0008] This invention enables rapid and accurate screening and diagnosis of cranial deformities in children. The device can efficiently generate a three-dimensional model of a child's skull under radiation-free conditions and determine deformities using a high-precision deformity classification model, providing technical support for the early screening, diagnosis, and treatment of cranial deformities in children.

[0009] This invention provides a device for diagnosing cranial malformations in children, comprising: a scanning component, a display, an input component, an image acquisition component, and a computing platform;

[0010] The scanning component and image acquisition component are used to acquire 24 frames of images of the child's skull, and the display is used to display a three-dimensional model of the child's skull and the final diagnostic results;

[0011] The scanning component includes: a housing, a support structure and a bottom ring. The bottom ring is provided with evenly distributed camera mounting positions. Each camera mounting position is equipped with a high-definition camera through a camera fixing component. The camera fixing component includes an angle adjuster that can adjust the shooting angle.

[0012] The image acquisition component includes a camera and a hub; the computing platform is loaded with system application software; the system application software can realize 3D reconstruction, anomaly classification and visualization operation functions; the camera is connected to the hub via a USB interface, and the hub is connected to the computing platform;

[0013] The support structure includes: a hub mounting plate, a computing platform slot, and a camera driver circuit mounting plate, which are used to fix the hub, the computing platform, and the camera driver circuit of the camera, respectively.

[0014] The input components include a keyboard and a mouse.

[0015] Cameras are evenly distributed around the child's head to ensure comprehensive imaging of the skull. The selected cameras feature high resolution and excellent low-light performance, enabling the output of high-quality image data and ensuring the accuracy of the 3D reconstruction.

[0016] Furthermore, the diameter of the bottom ring is 38cm, and the adjustment range of the angle adjuster is from 15° upward to 30° downward.

[0017] Furthermore, the camera mounting assembly also includes a camera mounting slot for fixing the camera.

[0018] Furthermore, the support structure is fixed to the outer shell by a support rod, and the support structure also includes a scanning component fixing end, which is used to connect to an external fixing device.

[0019] Furthermore, the camera mounting assembly and the support frame are fixedly connected; the support frame is integrated with the bottom ring.

[0020] Furthermore, the support structure also includes a hub support column, which, together with the hub mounting plate, forms a rigid frame for securing the hub. The vertical installation design of the hub support column ensures a stable distance between the hub and the bottom ring, preventing excessive cable bending.

[0021] Furthermore, the computing platform uses an NVIDIA Jetson Nano B01 as the main control board, responsible for complex computational tasks such as image processing, 3D reconstruction, and deformity classification. It is equipped with a Tegra X1 chip and a 128-core Maxwell GPU. It possesses powerful computing and parallel processing capabilities, enabling efficient processing of image data and execution of 3D reconstruction algorithms.

[0022] Furthermore, the 3D reconstruction is based on multi-view stereoscopic vision technology, which generates a 3D model of a child's head through multi-view images.

[0023] Furthermore, the malformation classification uses a classification model trained with real pediatric head CT data.

[0024] The aforementioned visual user interface was developed using the PyQT framework. The visual user interface includes a patient information interface, an image selection interface, a skull modeling interface, and a malformation assessment result display interface.

[0025] The method of using this invention includes the following steps:

[0026] S1: Synchronously acquire multi-view images of the child's head using a camera; during acquisition, ensure that the top horizontal plane of the child's head coincides with the bottom ring, and that the child's head is centered in the bottom ring; start the device, adjust the angle adjuster to place the camera at a suitable shooting angle, operate the device in the visual operation interface, and acquire 24 frames of two-dimensional multi-view images of the child's head;

[0027] S2: The image acquired by S1 is transmitted to the computing platform, which performs 3D reconstruction to generate a skull model;

[0028] S3: The anomaly classification model analyzes and diagnoses the 3D model; the diagnostic results are displayed in a visual interface.

[0029] Compared with the prior art, the present invention has the following advantages:

[0030] (1) High-density integration and space optimization. By combining the vertical layout of the hub pillars with the arc-shaped cable routing of the support frame, 24 camera modules are integrated within a circular space with a diameter of 38cm. A layered architecture of pillars, support structure, and bottom ring is adopted.

[0031] (2) Accurate diagnosis, simple operation, and no radiation. No radioactive equipment is required, avoiding potential radiation harm to children. Through the 3D reconstruction technology and high-precision malformation classification model in the system application software, the system can generate high-quality 3D models and accurately diagnose cranial deformities; the system application software provides an intuitive user interface, making it easy for medical workers and technicians to use. Attached Figure Description

[0032] Figure 1 A schematic diagram of the overall structure of a device used for diagnosing cranial deformities in children;

[0033] Figure 2 This is a schematic diagram of the internal structure of the scanning component;

[0034] Figure 3This is a schematic diagram of the outer shell structure;

[0035] Figure 4 A schematic diagram of the camera mounting assembly;

[0036] Figure 5 This is a schematic diagram of the bottom ring structure.

[0037] Reference numerals: 1. Scanning component; 2. Monitor; 3. Keyboard; 4. Mouse; 5. Camera mounting component; 6. Support rod; 7. Hub mounting plate; 8. Scanning component mounting end; 9. Computing platform slot; 10. Hub support column; 11. Support structure; 12. Support frame; 13. Camera drive circuit mounting plate; 14. Bottom ring; 15. Camera mounting slot; 16. Angle adjuster; 17. Camera mounting position; 18. Housing. Detailed Implementation

[0038] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. Component models, material names, connection structures, control methods, algorithms, and other features not explicitly described in this technical solution are considered common technical features disclosed in the prior art.

[0039] Example 1

[0040] This embodiment provides a device for diagnosing cranial malformations in children, such as... Figure 1-5 As shown, it includes: scanning component 1, display 2, input component, image acquisition component, and computing platform;

[0041] The scanning component 1 and the image acquisition component are used to acquire 24 frames of images of the child's head, and the display 2 is used to display the three-dimensional model of the child's head and the final diagnostic results;

[0042] The scanning component 1 includes: a housing 18, a support structure 11 and a bottom ring 14. The bottom ring 14 is provided with 24 evenly distributed camera mounting positions 17. Each camera mounting position 17 is equipped with a high-definition camera through a camera fixing component 5. The camera fixing component 5 includes an angle adjuster 16 that can adjust the shooting angle.

[0043] The image acquisition component includes 24 cameras and a hub; the computing platform is loaded with system application software; the system application software can realize 3D reconstruction, anomaly classification and visualization operation functions; the cameras are connected to the hub via USB interface, and the hub is connected to the computing platform;

[0044] The support structure 11 includes: a hub fixing plate 7, a computing platform slot 9, and a camera drive circuit fixing plate 13, which are used to fix the hub, the computing platform, and the camera drive circuit of the camera, respectively.

[0045] The input components include a keyboard 3 and a mouse 4.

[0046] Twenty-four cameras were evenly distributed around the child's head to ensure that images of the child's head could be captured from all angles. The selected cameras are characterized by high resolution and excellent low-light performance, capable of outputting high-quality image data to ensure the accuracy of the 3D reconstruction.

[0047] In a specific embodiment, the diameter of the bottom ring 14 is 38cm, and the adjustment range of the angle adjuster 16 is from 15° upward to 30° downward.

[0048] In a specific embodiment, the camera fixing assembly 5 further includes a camera mounting slot 15, which is used to fix the camera.

[0049] In a specific embodiment, the support structure 11 is fixed to the outer shell 18 by the support rod 6. The support structure 11 also includes a scanning component fixing end 8, which is used to connect to an external fixing device.

[0050] In a specific embodiment, the camera fixing assembly 5 and the support frame 12 are fixedly connected; the support frame 12 is integrated with the bottom ring 14.

[0051] In a specific embodiment, the support structure 11 further includes a hub support column 10, which, together with the hub mounting plate 7, forms a rigid frame for fixing the hub. The vertical installation design of the hub support column 10 ensures that the hub maintains a stable distance from the bottom ring 14, avoiding excessive bending of the cable.

[0052] In a specific implementation, the computing platform uses an NVIDIA Jetson Nano B01 as the main control board, responsible for complex computational tasks such as image processing, 3D reconstruction, and deformity classification. It is equipped with a Tegra X1 chip and a 128-core Maxwell GPU. It possesses powerful computing and parallel processing capabilities, enabling efficient processing of image data and execution of 3D reconstruction algorithms.

[0053] In a specific implementation, the three-dimensional reconstruction is based on multi-view stereoscopic vision technology, which generates a three-dimensional model of a child's head through multi-view images.

[0054] In a specific implementation, the malformation classification uses a classification model trained with real children's head CT data.

[0055] The aforementioned visual user interface was developed using the PyQT framework. The visual user interface includes a patient information interface, an image selection interface, a skull modeling interface, and a malformation assessment result display interface.

[0056] The usage method of this embodiment includes the following steps:

[0057] S1: Simultaneously acquire multi-view images of the child's head using 24 cameras; during acquisition, ensure that the top horizontal plane of the child's head coincides with the bottom ring 14, and that the child's head is at the center of the bottom ring; start the device, adjust the angle adjuster 16 to position the camera at a suitable shooting angle, operate the device in the visual operation interface, and acquire 24 frames of two-dimensional multi-view images of the child's head.

[0058] S2: The image acquired by S1 is transmitted to the computing platform, which performs 3D reconstruction to generate a skull model;

[0059] S3: The anomaly classification model analyzes and diagnoses the 3D model; the diagnostic results are displayed in a visual interface.

[0060] Components not described in detail in this embodiment are all existing components that can be purchased through public channels.

[0061] The above description of the embodiments is provided to enable those skilled in the art to understand and use the invention. It will be apparent to those skilled in the art that various modifications can be made to these embodiments, and the general principles described herein can be applied to other embodiments without inventive effort. Therefore, the present invention is not limited to the above embodiments, and any improvements and modifications made by those skilled in the art based on the disclosure of the present invention without departing from the scope of the invention should be within the protection scope of the present invention.

Claims

1. A device for diagnosis of cranial deformities in children, characterized in that, The application relates to a child head scanning device. The scanning component (1) and the image acquisition component are used for collecting 24 frames of images of a child head, and the display (2) is used for displaying a three-dimensional model of the child head and a final diagnosis result. The scanning component (1) comprises a shell (18), a support structure (11) and a bottom circular ring (14), the bottom circular ring (14) is provided with uniformly distributed camera mounting positions (17), each camera mounting position (17) is provided with a high-definition camera through a camera fixing component (5), and the camera fixing component (5) comprises an angle adjuster (16) capable of adjusting a shooting angle. The image acquisition component comprises a camera and a concentrator, the system application software is loaded in the computing platform, the system application software can realize three-dimensional reconstruction, diagnosis classification and visualization operation functions, the camera is connected with the concentrator, and the concentrator is connected with the computing platform. The support structure (11) comprises a concentrator fixing plate (7), a computing platform clamping groove (9) and a camera driving circuit fixing plate (13) for fixing the concentrator, the computing platform and the camera driving circuit of the camera respectively. The angle adjuster (16) has an adjusting range of 15 degrees upward to 30 degrees downward.

2. A device for diagnosing cranial deformities in children according to claim 1, characterized in that, The camera fixing component (5) further comprises a camera mounting groove (15) for fixing the camera.

3. The device for diagnosing cranial deformities in children according to claim 1, characterized in that, The support structure (11) is fixed with the shell (18) through a support rod (6), and the support structure (11) further comprises a scanning component fixing end (8) for connecting an external fixing device.

4. The device for diagnosing cranial deformities in children according to claim 1, characterized in that, The camera fixing component (5) and the support frame (12) are fixedly connected, and the support frame (12) is integrated with the bottom circular ring (14).

5. The device for diagnosing cranial deformities in children according to claim 1, characterized in that, The support structure (11) further comprises a concentrator support column (10) and a concentrator fixing plate (7) which jointly form a rigid frame for fixing the concentrator.

6. The device for diagnosing cranial deformities in children according to claim 1, characterized in that, The computing platform adopts an NVIDIA Jetson Nano B01 as a main control board, carries a Tegra X1 chip and a 128-core Maxwell GPU.

7. The device for diagnosing cranial deformities in children according to claim 1, characterized in that, The three-dimensional reconstruction is based on a multi-view stereo vision technology and generates a three-dimensional model of the child head through multi-view images.

8. The device for diagnosing cranial deformities in children according to claim 1, characterized in that, The diagnosis classification adopts a classification model trained by using real child head CT-data.

9. The device for diagnosing cranial deformities in children according to claim 1, characterized in that, ​

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