Manufacturing method of 3D printing acupuncture and moxibustion head training model guided by medical image

Abstract

The invention discloses a manufacturing method of a 3D printing acupuncture head training model guided by a medical image, and relates to the field of 3D printing manufacturing methods of medical education equipments.The manufacturing method comprises the following steps that S1, medical image data from the head to the clavicle area of a human body is obtained through a CT or MR I scanning technology; s2, based on the acquired medical image data, utilizing three-dimensional reconstruction software to generate an anatomical model covering a region from the head to the clavicle, and restoring anatomical structures of bones, muscles, blood vessels and nerves; s3, 36 key acupuncture points are screened, the anatomical position of each acupuncture point is marked in the obtained head anatomical model, and the acupuncture angle, the acupuncture depth and the acupuncture insertion path of acupuncture are marked; according to the invention, the head model is divided into a plurality of magnetic splicing modules with different sizes and shapes, so that a learner can easily detach and check the anatomical structure of each acupuncture point, the interactivity of teaching is improved, and the visual understanding of the learner on the acupuncture path and the tissue influence thereof is enhanced.

Description

Technical Field

[0001] The present invention relates to a 3D printing manufacturing method for medical education equipment, and in particular to a manufacturing method for a medical image-guided 3D printing acupuncture head training model. Background Art

[0002] In the field of acupuncture, traditional acupuncture models, as important tools for teaching and clinical training, have long played a key role in improving learners' skills. However, with the increasing demands of medical education and practice, existing acupuncture models have gradually exposed many limitations, seriously restricting the effectiveness of acupuncture teaching and clinical training.

[0003] First, insufficient visualization of anatomical structures is a common problem with existing acupuncture models. Most models primarily feature markers for acupuncture points and meridian pathways, lacking detailed representation of key anatomical structures such as nerves, blood vessels, and muscles. This design makes it difficult for learners to accurately determine needle tip position and its impact on surrounding tissues during acupuncture, thus compromising the accuracy and safety of acupuncture procedures.

[0004] Secondly, insufficient guidance on acupuncture angle and depth is another major drawback of existing models. Acupuncture instruction often relies on text-based materials and diagrams, which struggle to intuitively present information on acupuncture angle and depth. In actual clinical practice, learners must precisely control the angle and depth of needle insertion, but existing models fail to provide effective guidance, increasing the difficulty and risk of the procedure.

[0005] Furthermore, the lack of assembly and disassembly capabilities limits learners' in-depth understanding of acupuncture paths and their tissue effects. Existing acupuncture models are mostly monolithic, making it impossible to disassemble and observe internal anatomy. This makes it difficult for learners to directly observe the acupuncture paths and their effects on surrounding tissues, hindering their in-depth understanding and mastery of acupuncture techniques.

[0006] Finally, limitations in materials and manufacturing techniques also hinder the effectiveness of acupuncture models in teaching. Many existing models utilize a single material, failing to accurately simulate the texture and maneuverability of different tissues. This limitation significantly reduces the effectiveness of these models in simulation training, making them unable to meet the high standards of modern acupuncture teaching and clinical training.

[0007] In summary, in order to effectively improve the accuracy of medical students' learning and practice experience, as well as the intuitiveness of acupuncturists' operations, it is urgent to develop a low-cost, highly simulated, and interactive head acupuncture teaching tool. Summary of the Invention

[0008] The purpose of the present invention is to provide a method for manufacturing a medical image-guided 3D-printed acupuncture head training model to solve the problems of acupuncture models in the prior art, such as insufficient anatomical structure visualization, lack of guidance on acupuncture angle and depth, lack of splicing and disassembly functions, and material and process limitations, which affect teaching accuracy and intuitive operation.

[0009] To achieve the above objectives, the present invention provides the following technical solution: a method for manufacturing a medical image-guided 3D printed acupuncture head training model, comprising the following steps:

[0010] S1. Obtain medical imaging data of the human head to clavicle region using CT or MRI scanning technology;

[0011] S2. Based on the acquired medical imaging data, a 3D reconstruction software is used to generate an anatomical model covering the area from the head to the clavicle, restoring the anatomical structure of bones, muscles, blood vessels, and nerves.

[0012] S3. Screen 36 key acupoints, mark the anatomical locations of each acupoint on the obtained head anatomical model, and mark the acupuncture angle, depth, and needle insertion path;

[0013] S4. Based on the correspondence between acupoint distribution and anatomical structure, the anatomical model is divided into 36 independent modules, each corresponding to an acupoint on the head. The modules are integrated with the 3D anatomical data of the blood vessels, nerves, and muscle tissues associated with the corresponding acupoints in the modules.

[0014] S5. Use light-curing polymer materials to produce independent modules through 3D printing technology;

[0015] S6. On the surface and internal structure of each independent module, skin, muscles, blood vessels and nerves are layered and labeled using visual annotation technology;

[0016] S7. Combine 36 independent modules into a complete head training model through detachable splicing.

[0017] Furthermore, in step S4, the anatomical structure of each independent module includes the following:

[0018] The skin layer where the corresponding acupuncture point is located;

[0019] The muscle tissue deep within the acupuncture points;

[0020] Nerve branches and blood vessel distribution associated with acupuncture points.

[0021] Furthermore, 36 key TCM acupoints were selected from the head acupoints that are frequently used in clinical treatment and medical examinations.

[0022] Furthermore, in step S7, the detachable splicing method is a magnetic connection, in which magnetic elements are embedded in the splicing surfaces of the independent modules, and the splicing between the modules is achieved through magnetic attraction.

[0023] Furthermore, the magnetic structure is a neodymium magnet, the magnetic strength can withstand more than 500 times of disassembly and assembly, and the position deviation of the module after splicing is ≤0.5mm.

[0024] Furthermore, the visual annotation technology in step S6 includes a color painting technology, which distinguishes the anatomical layers of skin, muscles, blood vessels and nerves through different colors.

[0025] Furthermore, in step S5, the light-curing polymer material is a photosensitive resin material, and the 3D printing technology adopts SLA light-curing 3D printing technology, the printing accuracy is 0.05mm, and the surface is polished and coated after printing.

[0026] An acupuncture head training model manufactured according to the above method includes 36 magnetic splicing modules, each of which corresponds to a key acupuncture point in traditional Chinese medicine. The skin, muscle, blood vessel and nerve anatomical structures corresponding to the acupuncture point are layered and labeled inside the module, and the acupuncture needle insertion angle and depth scale are also marked.

[0027] Compared with existing technologies, the present invention provides a method for manufacturing a medical image-guided 3D-printed acupuncture head training model. By dividing the head model into multiple magnetically attachable modules of different sizes and shapes, learners can easily disassemble and view the anatomical structure of each acupoint. This not only improves the interactivity of teaching, but also enhances learners' intuitive understanding of acupuncture paths and their tissue effects.

[0028] By using color anatomical technology inside the model, the anatomical structures of the skin, muscles, blood vessels, nerves, etc. can be intuitively displayed, allowing learners to more clearly understand the path of acupuncture and its effects, thereby improving the accuracy and safety of acupuncture operations;

[0029] By selecting 36 key acupuncture points in traditional Chinese medicine and marking the acupuncture angle, depth and insertion path of each acupuncture point in detail, precise guidance is provided for clinical operations, which helps to reduce operational errors and improve treatment effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0031] Figure 1A flowchart of a method for manufacturing a medical image-guided 3D-printed acupuncture head training model provided by an embodiment of the present invention;

[0032] Figure 2 A graph showing user learning effects provided by an embodiment of the present invention;

[0033] Figure 3 This is a curve chart showing the changes in assembly and disassembly time provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0035] Example 1

[0036] See also Figure 1 A method for manufacturing a medical image-guided 3D-printed acupuncture head training model comprises the following steps:

[0037] S1. Obtain medical imaging data of the human head to clavicle region using CT or MRI scanning technology;

[0038] CT scanning technology can use a Siemens SOMATOM Definition Edge dual-source CT scanner, with scanning parameters set to a tube voltage of 120 kV, a tube current of 250 mAs, a slice thickness of 0.6 mm, a pitch of 0.8, a soft tissue algorithm (B30f) for reconstruction, and a scanning range from the top of the skull to the lower edge of the clavicle to ensure coverage of all anatomical structures from the head to the clavicle. Specifically, the following steps can be used: the subject is in a supine position with the head fixed to a sponge support to prevent movement. For patients with metal implants (such as dentures), metal artifact correction technology (MAR) is enabled; DICOM format data is acquired, including three-dimensional tomographic images of bones, soft tissues, and blood vessels.

[0039] MRI scanning technology can be used with a Philips Ingenia 3.0T MRI device, using T1-weighted sequences (TR = 500ms, TE = 15ms) and T2-weighted sequences (TR = 4000ms, TE = 100ms), with a slice thickness of 1.0mm and a matrix resolution of 512×512. Enhanced scanning uses gadolinium contrast agent (0.1mmol / kg) to mark the course of blood vessels and nerves, covering the head to clavicle region, including the brain, cervical soft tissue, and supraclavicular fossa. Specifically, the following steps can be used: the subject is placed in the supine position with the head fixed and the neck supported with a cushion to reduce motion artifacts; a fat suppression sequence is used to reduce neck motion artifacts; DICOM format data is acquired, including high-resolution three-dimensional images of muscles, blood vessels, and nerves;

[0040] S2. Based on the acquired medical imaging data, a 3D reconstruction software is used to generate an anatomical model covering the area from the head to the clavicle, restoring the anatomical structure of bones, muscles, blood vessels, and nerves.

[0041] The following steps are used to achieve 3D reconstruction of CT data: 1. Set the CT value threshold to 150-3000 HU to automatically segment the skull, clavicle, and cervical vertebrae. 2. Use CTA (Computed Tomography Angiography) technology, combined with iodine contrast agent visualization, to track the carotid artery, vertebral artery, and their branches using a region growing algorithm. 3. Use a grayscale gradient algorithm to separate muscle groups (such as the sternocleidomastoid and trapezius muscles). 4. Use Materialise Mimics software to triangulate the segmented data, with a facet count of ≤5 million and a smoothness parameter of 0.3. 5. Annotate the skull foramina (such as the supraorbital foramen and stylomastoid foramen) and the transverse foramen of the cervical vertebrae. 6. Mark the bifurcation of the common carotid artery and the branches of the internal jugular vein.

[0042] The following steps are used to achieve three-dimensional reconstruction of MRI data: distinguish muscle groups (such as the sternocleidomastoid and trapezius muscles) based on T1-weighted images; use the region growing algorithm to track the carotid artery, vertebral artery, and their branches by enhancing the T1-weighted sequence; manually outline the trigeminal nerve and facial nerve trunk and branches based on the high signal areas of the T2-weighted image. Because MRI does not adequately display bones, the skull and clavicle contours can be manually added with reference to anatomical atlases; use 3D Slicer software for triangulation, with a facet count of ≤3 million and a smoothness parameter of 0.3; mark the location of the facial nerve exiting the stylomastoid foramen and the course of the cervical segment of the vagus nerve; and mark the branches of the internal jugular vein and vertebral artery.

[0043] S3. Screen 36 key acupoints. The 36 key acupoints of traditional Chinese medicine are selected from the head acupoints that are frequently used in clinical treatment and medical examinations. Specifically, you can first refer to the classic literature of traditional Chinese medicine, including "Huangdi Neijing", "Zhenjiu Jiayijing", "Tongren Acupoint Acupoint Acupoints and Moxibustion Illustrated Classic", and the modern "Acupuncture" textbook (a common textbook for national higher Chinese medicine colleges), etc. for preliminary screening, and then screen the head acupoints that are frequently used in clinical treatment (statistics of case data from the acupuncture department of tertiary hospitals from 2020 to the present, and analyze the frequency of use of head acupoints. The acupoint usage rate for a single disease in clinical practice is ≥60%, such as Fengchi acupoint has an 82% usage rate in the treatment of cervical spondylosis, or the comprehensive usage rate across diseases ranks in the top 30%, such as Baihui acupoint is frequently used in insomnia and stroke sequelae) and medical examinations (refer to the "National TCM Practitioner Qualification Examination Outline (2023 Edition)" and "National TCM Industry Vocational Skills Certification Examination Standards" to extract relevant test points of head acupoints). The 36 key acupoints screened are as follows:

[0044] Baihui, Fengchi, Taiyang, Jingming, Touwei, Sishencong, Yintang, Ermen, Tinggong, Shuegu, Benshen, Toulinqi, Chengling, Zhengying, Naokong, Yamen, Tianzhu, Wangu, Yifeng, Tianyou, Tianrong, Tianchuang, Tianding, Futu, Renying, Shuitu, Qishe, Quepen, Tiantu, Lianquan, Chengjiang, Dicang, Daying, Jiache, Xiaguan, and Touqiaoyin. These acupoints cover major meridians such as the Du Meridian, the Foot Shaoyang Gallbladder Meridian, and the Hand Shaoyang Triple Burner Meridian, as well as extra-meridian acupoints. They have clinical value in treating common ailments such as headaches, facial paralysis, and insomnia, and provide teaching and assessment key points such as positioning, needle insertion depth, and contraindications, providing comprehensive anatomical and operational guidance for acupuncture training.

[0045] Mark the anatomical location (coordinates) of each acupuncture point on the obtained head anatomical model, and mark the acupuncture angle, depth and needle insertion path, such as:

[0046] Fengchi acupoint module: Mark the branches of the greater occipital nerve and the course of the occipital artery, and mark the oblique needling direction (toward the tip of the nose) and the depth taboo (≤1.2 inches);

[0047] Temple module: displays the distribution of superficial temporal arteries and veins, and uses red (arteries) and blue (veins) colors to assist in bloodletting therapy training;

[0048] S4. Based on the correspondence between acupoint distribution and anatomical structure, the anatomical model is divided into 36 independent modules, each corresponding to an acupoint on the head. The modules are integrated with the 3D anatomical data of the blood vessels, nerves, and muscle tissues associated with the corresponding acupoints in the modules.

[0049] The anatomical structure of each independent module includes the following:

[0050] The skin layer where the corresponding acupuncture point is located;

[0051] The muscle tissue deep within the acupuncture points;

[0052] The nerve branches and blood vessel distribution associated with acupuncture points;

[0053] This can be achieved by taking the following steps:

[0054] Use Materialise Magics 25 software to import the 3D anatomical model generated in step S2;

[0055] Based on the coordinates of the 36 acupoints marked in step S3 (e.g., Baihui acupoint GV20, Fengchi acupoint GB20), a spherical area with a radius of 15-20 mm was delineated as the module boundary, centered on each acupoint, to ensure coverage of the blood vessels, nerves, and muscle tissue surrounding the acupoint. Data from the epidermis and dermis were extracted, preserving details such as pores and skin texture (with an accuracy of 0.1 mm). The direction of muscle fibers deep within the acupoint was marked (e.g., Fengchi acupoint corresponds to the sternocleidomastoid and trapezius junction). Arterial branches (e.g., the temple corresponds to the superficial temporal artery) and nerve pathways (e.g., the Yifeng acupoint corresponds to the facial nerve branches) associated with the acupoint were annotated using CT or MRI imaging data.

[0056] The segmented modules were superimposed and compared with the original model to ensure anatomical continuity (e.g., no breaks at the junctions of blood vessels across modules). The rationality of the module division was reviewed by TCM anatomy experts, with a focus on verifying the safety of segmentation at high-risk acupoints (e.g., the Yamen acupoint near the medulla oblongata).

[0057] S5. Use light-curing polymer materials and 3D printing technology to make independent modules. The light-curing polymer materials are photosensitive resin materials, and the 3D printing technology uses SLA light-curing 3D printing technology. The printing accuracy is 0.05mm, and the surface is polished and coated after printing;

[0058] Specifically, you can choose Formlabs Dental SG photosensitive resin, which has the characteristics of high precision (resolution 0.05mm), biocompatibility (compliant with ISO 10993 standards), and wear resistance (Shore hardness 85D). The printing equipment can be a Formlabs Form 3B SLA printer equipped with a 405nm laser light source and a spot diameter of 75μm. The printing settings are 0.05mm layer thickness, 200mW laser power, 8 seconds single layer exposure time, and 20% support structure density.

[0059] The following steps can be used to polish and coat the surface after printing:

[0060] After printing, the printed part was ultrasonically cleaned with isopropyl alcohol for 10 minutes to remove the uncured resin, and then irradiated in a UV curing box for 30 minutes (wavelength 405nm, power 10W);

[0061] Then, it is manually polished with 800-grit sandpaper and sprayed with a matte protective coating (acrylic-based) to reduce reflections that interfere with teaching;

[0062] Finally, a coordinate measuring machine (CMM) was used to measure the key dimensions of the module (such as acupoint diameter and vascular path width), with an error of ≤0.05mm;

[0063] S6. On the surface and internal structure of each independent module, skin, muscles, blood vessels and nerves are layered and labeled using visual annotation technology;

[0064] Visual annotation technology includes color painting technology, which uses different colors to distinguish the anatomical layers of skin, muscles, blood vessels and nerves;

[0065] The following methods can be used for annotation:

[0066] Arteries: medical-grade red acrylic paint (Pantone 185C) was used to mark the superficial temporal artery, occipital artery, etc.

[0067] Veins: blue pigment (Pantone 286C), marking the facial vein and external jugular vein;

[0068] Nerve: yellow pigment (Pantone 109C) to identify the facial nerve and trigeminal nerve branches;

[0069] Muscle: Gray gradient (Pantone Cool Gray 7C to 9C) to distinguish between superficial and deep muscle groups;

[0070] Use a 0.3mm airbrush for fine spraying to prevent paint from seeping into the joints; for transparent resin modules, use a layered painting technique (e.g., mark deep nerves first, then cover superficial muscles);

[0071] S7, combine 36 independent modules into a complete head training model through detachable splicing;

[0072] Among them, the detachable splicing method is magnetic connection. Magnetic elements are embedded in the splicing surface of independent modules to achieve splicing between modules through magnetic attraction. The magnetic attraction structure is a neodymium magnet. The magnetic attraction strength can withstand more than 500 disassembly and assembly, and the position deviation of the module after splicing is ≤0.5mm.

[0073] Neodymium magnets can be N52 grade neodymium magnets (3mm in diameter, 1.5mm in thickness), with a single magnetic attraction of 1.2kg and a temperature resistance of 80°C.

[0074] Neodymium magnets can be installed using the following embedding techniques:

[0075] The CNC milling machine grooves the edge of the module (groove depth 1.6mm, tolerance ±0.05mm);

[0076] Use medical epoxy resin adhesive (3M DP190) to embed the magnet into the slot. After curing, the magnet surface is flush with the module.

[0077] The NS-SN alternating arrangement ensures that the modules can only be spliced ​​in the preset direction (error-proof design).

[0078] Example 2

[0079] An acupuncture head training model manufactured according to the method of Example 1 includes 36 magnetic splicing modules, each of which corresponds to a key acupuncture point in traditional Chinese medicine. The modules are layered with the skin, muscle, blood vessel, and nerve anatomical structures corresponding to the acupuncture point, and are also marked with acupuncture needle insertion angles and depth scales.

[0080] Application Experiment Examples

[0081] The acupuncture head training model prepared in Example 1 was subjected to experiments such as accuracy test, ease of use test, and durability test to verify the practicality of the head acupuncture splicing model, as shown in the following table:

[0082]

[0083] in:

[0084] 3D scanning accuracy test:

[0085] CT images were used to compare the anatomical data of the model and measure the error range of bones, muscles, blood vessels and nerves. The test results showed that the model error was controlled within ±0.5mm, which can accurately reproduce the anatomical structure of the head to clavicle area and meet the needs of medical teaching.

[0086] Convenience test:

[0087] A total of 30 medical students were organized to conduct assembly and disassembly tests. The time consumption of each operation was recorded and the average disassembly time was calculated. The results showed that the average time for students to disassemble the spliced ​​model when using it for the first time was 45 seconds, and the time gradually shortened as the operation proficiency improved.

[0088] Acupoint identification accuracy test:

[0089] The model was used to have 30 medical students conduct 36 key acupoint identification experiments, and the accuracy rate was statistically analyzed; the results showed that the average recognition accuracy was 98% (error ±2%), indicating that the model is highly accurate in assisting learning.

[0090] Magnetic durability test:

[0091] The stability of the magnetic connection and module damage were tested five times with repeated disassembly and assembly.

[0092] The results show that after long-term use, the magnetic system can still maintain a stable connection and none of the modules are damaged, proving that the design has good durability and stability.

[0093] In order to verify the teaching effect and ease of use of the medical image-guided 3D printed acupuncture head training model proposed in this invention, the usage of 30 medical students was tracked and their acupoint recognition accuracy rates in 5 consecutive exercises were counted. Figure 2The following is a graph showing the user learning effect curve and the change curve of the disassembly and assembly time consumption;

[0094] Results show that upon initial use, students achieved approximately 85% accuracy. After 3-5 sessions, this accuracy increased to 98%, demonstrating that the model effectively improves learners' memory and anatomical cognition. The curve reflects that with increasing training sessions, learners' accuracy in acupoint recognition gradually improves.

[0095] like Figure 3 As shown in the figure, the disassembly and assembly time of 30 students at different proficiency levels was measured, and a curve was drawn to analyze the changing trend of the disassembly and assembly time:

[0096] When used for the first time, the average disassembly and assembly time for 30 students was 45 seconds.

[0097] After using it three times, the average disassembly and assembly time of 30 students was reduced to 30 seconds.

[0098] After using it five times, the average disassembly and assembly time of 30 students was reduced to 20 seconds.

[0099] The curve shows that as the proficiency increases, the user's operation time is significantly shortened, proving that the model is easy to master during the teaching process.

[0100] In summary, the present invention divides the head model into multiple magnetically attachable modules of different sizes and shapes, allowing learners to easily disassemble and view the anatomical structure of each acupoint. This not only improves the interactivity of teaching, but also enhances learners' intuitive understanding of acupuncture paths and their tissue effects.

[0101] Color anatomical technology is used inside the model to visually display the anatomical structures of the skin, muscles, blood vessels, nerves, etc., so that learners can have a clearer understanding of the acupuncture path and its effects, and thus have a better understanding of the anatomical effects of the acupuncture path;

[0102] Since acupuncture on the head is difficult and dangerous, this invention selects 36 important acupoints and marks the acupuncture angle, depth and needle insertion path of each acupoint according to the key points of traditional Chinese medicine, so as to improve the accuracy and safety of clinical operation.

[0103] By adopting advanced technologies such as 3D printing and artificial intelligence, and through magnetic connection, the splicing modules are easy to assemble and disassemble, improving the convenience of teaching and clinical operations, thereby producing more refined models and ensuring the accuracy of model dimensions;

[0104] By adopting photosensitive resin materials and 3D printing technology, the support structure design is optimized, printing time is reduced, and the material cost is only 5% of traditional models. The production process complies with RoHS environmental protection standards, carbon emissions are reduced by 40%, and waste recycling is significantly improved.

[0105] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

Claims

1. A method for manufacturing a medical image-guided 3D printed acupuncture head training model, characterized in that: The following steps are involved: S1. Obtain medical imaging data of the human head to clavicle region using CT or MRI scanning technology; S2. Based on the acquired medical imaging data, a 3D reconstruction software is used to generate an anatomical model covering the area from the head to the clavicle, restoring the anatomical structure of bones, muscles, blood vessels, and nerves. S3. Screen 36 key acupoints, mark the anatomical locations of each acupoint on the obtained head anatomical model, and mark the acupuncture angle, depth, and needle insertion path; S4. Based on the correspondence between acupoint distribution and anatomical structure, the anatomical model is divided into 36 independent modules, each corresponding to an acupoint on the head. The modules are integrated with the 3D anatomical data of the blood vessels, nerves, and muscle tissues associated with the corresponding acupoints in the modules. S5. Use light-curing polymer materials to produce independent modules through 3D printing technology; S6. On the surface and internal structure of each independent module, skin, muscles, blood vessels and nerves are layered and labeled using visual annotation technology; S7. Combine 36 independent modules into a complete head training model through detachable splicing.

2. The method for manufacturing a medical image-guided 3D printing acupuncture head training model according to claim 1, characterized in that: In step S4, the anatomical structure of each independent module includes the following: The skin layer where the corresponding acupuncture point is located; The muscle tissue deep within the acupuncture points; Nerve branches and blood vessel distribution associated with acupuncture points.

3. The method for manufacturing a medical image-guided 3D printing acupuncture head training model according to claim 1, characterized in that: 36 key TCM acupoints are selected from the head acupoints that are frequently used in clinical treatment and medical examinations.

4. The method for manufacturing a medical image-guided 3D printing acupuncture head training model according to claim 1, characterized in that: In step S7, the detachable splicing method is a magnetic connection, in which magnetic elements are embedded in the splicing surfaces of the independent modules, and the splicing between the modules is achieved through magnetic attraction.

5. The method for manufacturing a medical image-guided 3D printing acupuncture head training model according to claim 4, characterized in that: The magnetic structure uses neodymium magnets, and the magnetic strength can withstand more than 500 disassembly and assembly times, and the position deviation of the modules after splicing is ≤0.5mm.

6. The method for manufacturing a medical image-guided 3D printing acupuncture head training model according to claim 1, characterized in that: The visual annotation technology in step S6 includes a color painting technology, which distinguishes the anatomical layers of skin, muscles, blood vessels and nerves through different colors.

7. The method for manufacturing a medical image-guided 3D printing acupuncture head training model according to claim 1, characterized in that: In step S5 , the light-curing polymer material is a photosensitive resin material, and the 3D printing technology adopts SLA light-curing 3D printing technology with a printing accuracy of 0.05 mm. After printing, the surface is polished and coated.

8. An acupuncture head training model manufactured according to any one of claims 1 to 7, characterized in that: It contains 36 magnetic splicing modules, each module corresponds to a key acupuncture point in traditional Chinese medicine. The skin, muscle, blood vessel and nerve anatomical structures corresponding to the acupuncture point are marked in layers inside the module, and the acupuncture needle insertion angle and depth scale are marked.

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