WO2018076142A1 - 一种上颌中切牙分类方法及系统 - Google Patents

一种上颌中切牙分类方法及系统 Download PDF

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Publication number
WO2018076142A1
WO2018076142A1 PCT/CN2016/103083 CN2016103083W WO2018076142A1 WO 2018076142 A1 WO2018076142 A1 WO 2018076142A1 CN 2016103083 W CN2016103083 W CN 2016103083W WO 2018076142 A1 WO2018076142 A1 WO 2018076142A1
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WIPO (PCT)
Prior art keywords
line segment
central incisor
maxillary central
length
tooth
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PCT/CN2016/103083
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English (en)
French (fr)
Inventor
高永波
Original Assignee
深圳市龙岗中心医院
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Filing date
Publication date
Application filed by 深圳市龙岗中心医院 filed Critical 深圳市龙岗中心医院
Priority to PCT/CN2016/103083 priority Critical patent/WO2018076142A1/zh
Priority to CN201680001184.0A priority patent/CN108243605A/zh
Publication of WO2018076142A1 publication Critical patent/WO2018076142A1/zh

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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B6/00Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
    • A61B6/50Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
    • A61B6/51Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for dentistry
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61CDENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C8/00Means to be fixed to the jaw-bone for consolidating natural teeth or for fixing dental prostheses thereon; Dental implants; Implanting tools
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61CDENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C7/00Orthodontics, i.e. obtaining or maintaining the desired position of teeth, e.g. by straightening, evening, regulating, separating, or by correcting malocclusions

Definitions

  • the present invention relates to the field of medical technology, and in particular, to a method and system for classifying a maxillary central incisor.
  • the maxillary central incisor is highly demanding because of its aesthetic effects.
  • the use of systematic classification techniques can provide more scientific pre-operative treatment recommendations, improve the success rate and aesthetics of the surgery.
  • the CBCT (Cone Beam Computer Tomography) image examination method is generally used to classify the maxillary central incisors in different cases.
  • the current classification technique of CBCT image detection method mainly acquires CBCT images through imaging equipment, and then manually marks and measures the long axis of the teeth, the enamel bone boundary and the root tip in the CBCT image, and according to the measurement. Results The maxillary central incisors were classified according to work experience. The procedure was very complicated and prone to errors.
  • Embodiments of the present invention provide a method and system for classifying a maxillary central incisor, which can automatically classify different maxillary central incisors by computer technology, and simplify the prior art steps for classifying the maxillary central incisors. And can avoid errors caused by human factors and improve the accuracy of classification.
  • an embodiment of the present invention provides a method for classifying a maxillary central incisor, the method comprising:
  • an embodiment of the present invention provides a system for classifying a maxillary central incisor, the system comprising:
  • a CBCT image acquiring unit configured to acquire a CBCT image of the upper central incisor to be classified
  • an auxiliary line marking unit configured to mark and use the CBCT image as an auxiliary line according to a preset policy
  • a sorting unit configured to acquire a relative positional relationship between a tooth length axis, a enamel bone boundary, and a root tip according to the mark and the auxiliary line, and determine a category of the upper middle incisor according to the relative positional relationship.
  • a CBCT image of a maxillary central incisor to be classified is obtained; the CBCT image is marked and an auxiliary line according to a preset strategy; and a long axis of the tooth and a glaze are obtained according to the mark and the auxiliary line.
  • the relative positional relationship between the bone boundary and the apex, the type of the maxillary central incisor is determined according to the relative positional relationship, and the different maxillary central incisors can be automatically classified by computer technology, simplifying the upper jaw of the prior art.
  • FIG. 1 is a schematic flow chart of a method for classifying a maxillary central incisor according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a CBCT image marked and assisted in a method for classifying a maxillary central incisor according to an embodiment of the present invention
  • step S103 is a specific implementation flow chart of step S103 in a method for classifying a maxillary central incisor according to an embodiment of the present invention
  • FIG. 4 is a schematic flow chart of a method for classifying a maxillary central incisor according to another embodiment of the present invention.
  • FIG. 5 is a schematic block diagram of a system for classifying a maxillary central incisor according to an embodiment of the present invention
  • FIG. 6 is a schematic block diagram of a classification unit in a maxillary central incisor classification system according to an embodiment of the present invention
  • FIG. 7 is a schematic block diagram of a system for classifying a maxillary central incisor according to another embodiment of the present invention.
  • FIG. 8 is a schematic block diagram of a system for classifying a maxillary central incisor according to another embodiment of the present invention. Embodiments of the invention
  • FIG. 1 a schematic flowchart of a method for classifying a maxillary central incisor is provided. As shown in FIG. 1, the method may include the following steps:
  • step S101 specifically includes:
  • the data is loaded by medical imaging software, and the data is three-dimensionally reconstructed to obtain a CBCT image containing the maxillary central incisor to be classified.
  • the CBCT machine when used to scan the cymbal, the person to be tested is relaxed, the plane of the ear is parallel to the ground, and the midline of the face is perpendicular to the ground plane, and the occlusal bite is maintained.
  • the medical imaging software adopts MIMI
  • the MMICICS 10.0 software can reconstruct the data of the loaded Dicom format to obtain a front view, a side view, a top view, a 3D stereo image of the maxillary central incisor, and then according to the front view, the side The view, the top view, and the 3D stereoscopic image reconstruction reconstruct a 3D stereoscopic reconstruction model of the maxillary central incisor, that is, a CBCT image of the maxillary central incisor.
  • the CBCT image is marked and assisted according to a preset policy.
  • FIG. 2 is a schematic diagram showing the CBCT image being marked and used as an auxiliary line.
  • step S102 specifically includes:
  • a first line segment L 1 perpendicular to the longitudinal axis of the tooth is made at a predetermined distance from the enamel bone boundary to the cusp direction in the pulp cavity ; the tooth length axis will be the first line segment! ⁇ is divided into two parts: line segment dl and line segment d2.
  • dl is the line segment on the lip side, and d2 is the line segment on the hemiplegic side;
  • the preset distance is 4 mm.
  • FIG. 3 shows a specific implementation process of step S103 in this embodiment.
  • step S103 may include the following steps:
  • the maxillary central incisors of each major class are further divided into different subclasses according to d3 and d4. specific:
  • the method for classifying the upper central incisor provided by the embodiment is obtained by acquiring the upper to be classified. CBCT image of the central incisor; marking and assisting the CBCT image according to a preset strategy; obtaining the relative positional relationship between the long axis of the tooth, the enamel bone boundary and the apex according to the marking and the auxiliary line, according to The relative positional relationship determines the category of the maxillary central incisor, so that different upper maxillary incisors can be automatically classified by computer technology, which simplifies the prior art process of classifying the upper central incisor, and can Avoid errors caused by human factors and improve the accuracy of classification.
  • FIG. 4 is a schematic flow chart of a method for classifying a maxillary central incisor according to another embodiment of the present invention.
  • the present embodiment provides a method for classifying a maxillary central incisor, in which the long axis of the tooth, the enamel bone boundary and the apex are obtained according to the marking and the auxiliary line.
  • the relative positional relationship after determining the category of the upper central incisor according to the relative positional relationship, further includes:
  • a treatment suggestion corresponding to the maxillary central incisor is determined and displayed according to the type of the maxillary central incisor.
  • the computer has pre-stored treatment suggestions corresponding to various types of maxillary central incisors. After determining the category of the maxillary central incisors of the test subject, the pre-storage can be directly searched according to the category. The treatment recommendations corresponding to the category, and display the found treatment recommendations to the attending physician for reference by the attending physician, which can further improve medical efficiency.
  • the upper jaw incisor classification method provided by the embodiment can also automatically classify different maxillary central incisors by computer technology, which simplifies the prior art for the maxillary central incisor.
  • the operation steps of the classification, and the error caused by the human factor can be avoided, and the accuracy of the classification is improved; and, compared with the previous embodiment, the embodiment can also provide the corresponding preoperative recommendation information according to the classification result. Further improved medical efficiency.
  • FIG. 5 is a schematic block diagram of a system for classifying a maxillary central incisor according to an embodiment of the present invention.
  • the system is located in a computer and is used to run the method provided in the embodiment shown in FIG. Only the parts related to the present embodiment are shown for convenience of explanation.
  • the upper jaw incisor classification system provided by the embodiment includes:
  • the CBCT image acquiring unit 1 is configured to acquire a CBCT image of the upper central incisor to be classified;
  • the auxiliary line marking unit 2 is configured to mark and use the CBCT image as an auxiliary line according to a preset policy;
  • the classification unit 3 is configured to acquire a relative positional relationship between the tooth length axis, the enamel bone boundary and the apex according to the mark and the auxiliary line, and determine the category of the upper middle incisor according to the relative positional relationship.
  • the CBCT image obtaining unit 1 is specifically configured to:
  • the data is loaded by medical imaging software, and the data is three-dimensionally reconstructed to obtain a CBCT image containing the maxillary central incisor to be classified.
  • auxiliary line marking unit 2 is specifically configured to:
  • a first line segment perpendicular to the longitudinal axis of the tooth is formed at a predetermined distance from the enamel bone boundary to the cusp direction in the pulp cavity, and the tooth length axis divides the first line segment It is a line segment dl and a line segment d2, wherein dl is a line segment on the lip side, and d2 is a line segment on the hemiplegic side;
  • a second line segment perpendicular to the long axis of the tooth and passing through the apex of the dent, the length line of the tooth dividing the second line segment into two parts, a line segment d3 and a line segment d4.
  • d3 is the lateral line segment of the lip
  • d4 is the lateral line segment of the hemiplegic side.
  • the classification unit 3 includes:
  • measuring unit 31 configured to separately measure the length of the line segment d1, the line segment d2, the line segment d3, and the line segment d4;
  • the first comparing unit 32 is configured to compare the length of the line segment dl and the length of the line segment d2, and divide the upper central incisors into different categories according to the comparison result;
  • the difference calculation unit 33 is configured to calculate a difference between the length of the line segment d3 minus the length of the line segment d4;
  • the second comparing unit 34 is configured to determine whether the difference is greater than a preset threshold, and according to the determination result, classify the upper incisors of each major class into different subcategories.
  • the upper central incisor classification system further includes :
  • the treatment suggestion obtaining unit 4 is configured to determine and display a treatment suggestion corresponding to the upper central incisor according to the category of the upper central incisor.
  • each unit in the maxillary central incisor classification system provided by the embodiment is based on the same concept in the method embodiment of the present invention, and the technical effects thereof are the same as the embodiment method of the present invention.
  • the content refer to the description in the method embodiment of the present invention, and details are not described herein again.
  • the maxillary central incisor classification system provided by the embodiment of the present invention can also automatically classify different maxillary central incisors by computer technology, which simplifies the classification of the maxillary central incisors in the prior art.
  • the operation steps, and can avoid the error caused by human factors, and improve the accuracy of classification.
  • FIG. 8 is a schematic block diagram of a system for classifying a maxillary central incisor according to another embodiment of the present invention, which is used to operate the method provided by the embodiment shown in FIGS. 1 and 4 of the present invention. For the convenience of explanation, only the parts related to the present embodiment are shown.
  • a maxillary central incisor classification system provided by this embodiment includes:
  • processor 810 processing circuit
  • communication interface 820 Communication interface
  • memory 830 memory
  • bus 840 bus
  • the processor 810, the communication interface 820, and the memory 830 complete communication with each other through the bus 840.
  • the communication interface 820 is configured to communicate with a cable modem.
  • the processor 810 is configured to execute the program 831.
  • the program 831 can include program code, the program code including computer operating instructions.
  • the processor 810 may be a central processing unit CPU, or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention.
  • CPU central processing unit
  • ASIC application specific integrated circuit
  • the memory 830 is configured to store the program 831.
  • Memory 830 may include high speed RAM memory and may also include non-volatile memory, such as at least one disk memory.
  • the program 831 specifically includes:
  • the CBCT image acquiring unit 1 is configured to acquire a CBCT image of the upper central incisor to be classified;
  • the auxiliary line marking unit 2 is configured to mark and use the CBCT image as an auxiliary line according to a preset policy
  • the classification unit 3 is configured to acquire a relative positional relationship between the tooth length axis, the enamel bone boundary, and the root tip according to the mark and the auxiliary line, and determine the category of the upper middle incisor according to the relative positional relationship.
  • the CBCT image obtaining unit 1 is specifically configured to:
  • auxiliary line marking unit 2 is specifically configured to:
  • a first line segment perpendicular to the longitudinal axis of the tooth is formed at a predetermined distance from the enamel bone boundary to the cusp direction in the pulp cavity, and the tooth length axis divides the first line segment It is a line segment dl and a line segment d2, wherein dl is a line segment on the lip side, and d2 is a line segment on the hemiplegic side;
  • d3 is the lateral line segment of the lip
  • d4 is the lateral line segment of the hemiplegic side.
  • the classification unit 3 includes:
  • measuring unit 31 configured to separately measure the length of the line segment d1, the line segment d2, the line segment d3, and the line segment d4;
  • the first comparing unit 32 is configured to compare the length of the line segment dl and the length of the line segment d2, and divide the upper central incisors into different categories according to the comparison result;
  • the difference calculating unit 33 is configured to calculate a difference between the length of the line segment d3 minus the length of the line segment d4;
  • the second comparing unit 34 is configured to determine whether the difference is greater than a preset threshold, and according to the determination result, classify the upper incisors of each major class into different subcategories.
  • the program 831 further includes:
  • the treatment suggestion obtaining unit 4 is configured to determine and display a treatment suggestion corresponding to the upper central incisor according to the category of the upper central incisor.
  • the disclosed systems and methods can be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division, and the actual implementation may have another division manner, for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored, or not executed.
  • Another point, the mutual coupling or direct coupling or communication shown or discussed The connection may be an indirect coupling or communication connection through some communication interface 820, device or unit, and may be in electrical, mechanical or other form.
  • the unit described as a separate component may or may not be physically distributed, and the component displayed as a unit may or may not be a physical unit, that is, may be located in one place, or may be distributed to multiple On the network module. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing module, or each unit may exist physically separately, or two or more units may be integrated into one module.
  • the functions, if implemented in the form of software functional modules and sold or used as separate products, may be stored in a terminal readable storage medium.
  • the technical solution of the present invention which is essential to the prior art or part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including several
  • the instructions are for causing a terminal (which may be a cell phone, IPAD, etc.) to perform all or part of the steps of the method of the various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a removable hard disk, a read only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and the like, which can store program codes.

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Abstract

提供一种上颌中切牙位置关系的分类方法和系统,其中方法包括:获取待分类的上颌中切牙的CBCT图像(S101);按照预设策略对CBCT图像进行标记和作辅助线(S102);根据标记和辅助线获取牙长轴线、釉牙骨质界以及根尖的相对位置关系,根据相对位置关系确定上颌中切牙的类别(S103)。通过计算机技术自动对不同的上颌中切牙进行分类,简化了现有技术中对上颌中切牙进行分类的操作步骤,并提高了分类的准确性。

Description

一种上颌中切牙分类方法及系统
技术领域
[0001] 本发明涉及医疗技术领域, 尤其涉及一种上颌中切牙分类方法及系统。
背景技术
[0002] 上颌中切牙因美学效果要求较高, 在行牙种植吋至关重要。 利用系统性的分类 技术, 能够提供更科学的种植术前治疗建议方案, 提高手术的成功率及美学效 果。 为了给临床治疗提供直观、 准确的信息, 现有技术中一般采用 CBCT (Cone Beam Computer Tomography , 锥形束投照计算机重组断层影像设备) 影像检査 方法对不同病例的上颌中切牙进行分类。 然而, 目前采用的 CBCT影像检测方法 的分类技术主要是通过影像设备获取 CBCT图像, 然后由人工手动对 CBCT图像 中的牙长轴线、 釉牙骨质界以及根尖进行标记和测量, 并根据测量结果凭工作 经验对上颌中切牙进行分类, 其操作步骤非常复杂, 并且容易出现误差。
技术问题
[0003] 本发明实施例提供一种上颌中切牙分类方法及系统, 可以通过计算机技术自动 对不同的上颌中切牙进行分类, 简化了现有技术中对上颌中切牙进行分类的操 作步骤, 并且可以避免出现人为因素导致的误差, 提高了分类的准确性。
问题的解决方案
技术解决方案
[0004] 第一方面, 本发明实施例提供了一种上颌中切牙分类方法, 该方法包括:
[0005] 获取待分类的上颌中切牙的 CBCT图像;
[0006] 按照预设策略对所述 CBCT图像进行标记和作辅助线;
[0007] 根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖的相对位置关系, 根据所述相对位置关系确定所述上颌中切牙的类别。
[0008] 另一方面, 本发明实施例提供了一种上颌中切牙分类系统, 该系统包括:
[0009] CBCT图像获取单元, 用于获取待分类的上颌中切牙的 CBCT图像;
[0010] 辅助线标记单元, 用于按照预设策略对所述 CBCT图像进行标记和作辅助线; [0011] 分类单元, 用于根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖的 相对位置关系, 根据所述相对位置关系确定所述上颌中切牙的类别。
发明的有益效果
有益效果
[0012] 本发明实施例通过获取待分类的上颌中切牙的 CBCT图像; 按照预设策略对所 述 CBCT图像进行标记和作辅助线; 根据所述标记和辅助线获取牙长轴线、 釉牙 骨质界以及根尖的相对位置关系, 根据所述相对位置关系确定所述上颌中切牙 的类别, 可以通过计算机技术自动对不同的上颌中切牙进行分类, 简化了现有 技术中对上颌中切牙进行分类的操作步骤, 并且可以避免出现人为因素导致的 误差, 提高了分类的准确性。
对附图的简要说明
附图说明
[0013] 为了更清楚地说明本发明实施例技术方案, 下面将对实施例描述中所需要使用 的附图作简单地介绍, 显而易见地, 下面描述中的附图是本发明的一些实施例 , 对于本领域普通技术人员来讲, 在不付出创造性劳动的前提下, 还可以根据 这些附图获得其他的附图。
[0014] 图 1是本发明实施例提供的一种上颌中切牙分类方法的示意流程图;
[0015] 图 2是本发明实施例提供的一种上颌中切牙分类方法中 CBCT图像被标记和作辅 助线后的示意图;
[0016] 图 3是本发明实施例提供的一种上颌中切牙分类方法中步骤 S103的具体实现流 程图;
[0017] 图 4是本发明另一实施例提供的一种上颌中切牙分类方法的示意流程图;
[0018] 图 5是本发明实施例提供的一种上颌中切牙分类系统的示意性框图;
[0019] 图 6是本发明实施例提供的一种上颌中切牙分类系统中分类单元的示意性框图
[0020] 图 7是本发明另一实施例提供的一种上颌中切牙分类系统的示意性框图;
[0021] 图 8是本发明另一实施例提供的一种上颌中切牙分类系统的示意性框图。 本发明的实施方式
[0022] 下面将结合本发明实施例中的附图, 对本发明实施例中的技术方案进行清楚、 完整地描述, 显然, 所描述的实施例是本发明一部分实施例, 而不是全部的实 施例。 基于本发明中的实施例, 本领域普通技术人员在没有做出创造性劳动前 提下所获得的所有其他实施例, 都属于本发明保护的范围。
[0023] 参见图 1, 是本发明实施例提供一种上颌中切牙分类方法的示意流程图, 如图 1 所示, 该方法可包括以下步骤:
[0024] 在 S101中, 获取待分类的上颌中切牙的 CBCT图像。
[0025] 在本实施例中, 步骤 S101具体包括:
[0026] 采用 CBCT机对待测者的颅颌面部进行扫描, 获取 Dicom格式的数据;
[0027] 采用医学影像软件加载所述数据, 并对所述数据进行三维重建, 得到包含有待 分类的上颌中切牙的 CBCT图像。
[0028] 在本实施例中, 在采用 CBCT机扫描吋, 待测者站立放松, 眶耳平面与地面平 行, 面中线垂直于地平面, 保持牙尖交错位咬合。 所述医学影像软件采用 MIMI
CS 10.0软件, 该 MIMICS 10.0软件可以对加载的 Dicom格式的数据进行重构, 得 到上颌中切牙的正视图、 侧视图、 俯视图、 3D立体影像图, 然后再根据所述正 视图、 所述侧视图、 所述俯视图以及所述 3D立体影像图重构得到所述上颌中切 牙的 3D立体重构模型图, 即所述上颌中切牙的 CBCT图像。
[0029] 在 S102中, 按照预设策略对所述 CBCT图像进行标记和作辅助线。
[0030] 图 2示出了 CBCT图像被标记和作辅助线后的示意图, 参见图 2所示, 在本实施 例中, 步骤 S102具体包括:
[0031] 在所述 CBCT图像中上颌中切牙的牙髓腔中标记出牙长轴线 L o;
[0032] 在所述牙髓腔中釉牙骨质界往牙尖方向预设距离处作垂直于所述牙长轴线的第 一线段 L 1 ; 所述牙长轴线将所述第一线段!^分为线段 dl、 线段 d2两部分, 其中
, dl为偏唇侧的线段, d2为偏腭侧的线段;
[0033] 在所述牙髓腔中作垂直于所述牙长轴线并经过根尖凸点的第二线段 L 2, 所述牙 长轴线将所述第二线段 1^ 2分为线段 d3、 线段 d4两部分, 其中, d3为偏唇侧线段 , d4为偏腭侧线段。
[0034] 进一步的, 在本实施例中所述预设距离为 4mm。
[0035] 在 S103中, 根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖的相对 位置关系, 根据所述相对位置关系确定所述上颌中切牙的类别。
[0036] 图 3示出了本实施例中步骤 S103的具体实现流程, 参见图 3所示, 本实施例中, 步骤 S103可以包括以下步骤:
[0037] 在 S301中, 分别测量所述线段 dl、 所述线段 d2、 所述线段 d3以及所述线段 d4的 长度。
[0038] 在 S302中, 比较线段 dl的长度和线段 d2的长度的大小, 根据比较结果将所述上 颌中切牙分为不同的大类。
[0039] 在本实施例中, 若 dl>d2, 则所述上颌中切牙为第 I大类; 若 dl<d2, 则所述上 颌中切牙为第 π大类; 若 di=d2, 则所述上颌中切牙为第 m大类。
[0040] 在 S303中, 计算线段 d3的长度减去线段 d4的长度的差值, 并判断所述差值是否 大于预设阈值, 根据判断结果再次将各大类的上颌中切牙分为不同的亚类。
[0041] 在本实施例中, 在根据 dl、 d2对所述上颌中切牙进行分类后, 会再进一步根据 d3、 d4将各大类的上颌中切牙分为不同的亚类。 具体的:
[0042] 当 dl>d2吋, 若 d3-d4>2, 则所述上颌中切牙为偏腭侧 I亚类; 若 d3-d4<2, 则所 述上颌中切牙为偏唇侧 I亚类; 若 d3-d4=2, 则所述上颌中切牙为中间 I亚类; [0043] 当 dl<d2吋, 若 d3-d4>2, 则所述上颌中切牙为偏腭侧 Π亚类; 若 d3-d4<2, 则所 述上颌中切牙为偏唇侧 Π亚类; 若 d3-d4=2, 则所述上颌中切牙为中间 Π亚类; [0044] 当 dl=d2吋, 若 d3-d4>2, 则所述上颌中切牙为偏腭侧 m亚类; 若 d3-d4<2, 贝 lj 所述上颌中切牙为偏唇侧 m亚类; 若 d3-d4=2, 则所述上颌中切牙为中间 m亚类
[0045] 在本实施例中, 由于每种类别的上颌中切牙的骨壁厚度及位置均不相同, 因此 不同类别的上颌中切牙所对应采用的正畸治疗方案也不相同, 当对所述上颌中 切牙分类完成后, 医生可以根据病人的上颌中切牙的类别确定最适合的正畸治 疗方案对病人进行手术。
[0046] 以上可以看出, 本实施例提供的一种上颌中切牙分类方法通过获取待分类的上 颌中切牙的 CBCT图像; 按照预设策略对所述 CBCT图像进行标记和作辅助线; 根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖的相对位置关系, 根据所述相对位置关系确定所述上颌中切牙的类别, 从而可以通过计算机技术 自动对不同的上颌中切牙进行分类, 简化了现有技术中对上颌中切牙进行分类 的操作步骤, 并且可以避免出现人为因素导致的误差, 提高了分类的准确性。
[0047] 图 4是本发明另一实施例提供的一种上颌中切牙分类方法的示意流程图。 参见 图 4所示, 相对于上一实施例, 本实施例提供的一种上颌中切牙分类方法, 在所 述根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖的相对位置关系 , 根据所述相对位置关系确定所述上颌中切牙的类别之后还包括:
[0048] 在 S404中, 根据所述上颌中切牙的类别确定并显示与所述上颌中切牙相对应的 治疗建议。
[0049] 在本实施例中, 计算机中预先存储有各种类别上颌中切牙所对应的治疗建议, 当确定了待测者的上颌中切牙的类别之后, 可以直接根据该类别査找预先存储 的与该类别相对应的治疗建议, 并将査找到的治疗建议显示给主治医生, 供主 治医生参考, 这样能够进一步提高医疗效率。
[0050] 需要说明的是, 本实施例中的步骤 S401〜步骤 S403的具体实现方式与图 1所示实 施例中的步骤 S101〜步骤 S103完全相同, 因此, 在此不再赘述。
[0051] 因此, 可以看出, 本实施例提供的一种上颌中切牙分类方法同样可以通过计算 机技术自动对不同的上颌中切牙进行分类, 简化了现有技术中对上颌中切牙进 行分类的操作步骤, 并且可以避免出现人为因素导致的误差, 提高了分类的准 确性; 并且, 相对于上一实施例, 本实施例还能够根据分类结果为主治医生提 供相应的术前建议信息, 进一步提高了医疗效率。
[0052] 图 5是本发明实施例提供的一种上颌中切牙分类系统的示意性框图, 该系统位 于计算机中, 用于运行图 1所示实施例提供的方法。 为了便于说明仅仅示出了与 本实施例相关的部分。
[0053] 参见图 5所示, 本实施例提供的一种上颌中切牙分类系统, 包括:
[0054] CBCT图像获取单元 1, 用于获取待分类的上颌中切牙的 CBCT图像;
[0055] 辅助线标记单元 2, 用于按照预设策略对所述 CBCT图像进行标记和作辅助线; [0056] 分类单元 3, 用于根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖 的相对位置关系, 根据所述相对位置关系确定所述上颌中切牙的类别。
[0057] 可选的, 所述 CBCT图像获取单元 1具体用于:
[0058] 采用 CBCT机对待测者的颅颌面部进行扫描, 获取 Dicom格式的数据;
[0059] 采用医学影像软件加载所述数据, 并对所述数据进行三维重建, 得到包含有待 分类的上颌中切牙的 CBCT图像。
[0060] 可选的, 所述辅助线标记单元 2具体用于:
[0061] 在所述 CBCT图像中上颌中切牙的牙髓腔中标记出牙长轴线;
[0062] 在所述牙髓腔中釉牙骨质界往牙尖方向预设距离处作垂直于所述牙长轴线的第 一线段, 所述牙长轴线将所述第一线段分为线段 dl、 线段 d2两部分, 其中, dl 为偏唇侧的线段, d2为偏腭侧的线段;
[0063] 在所述牙髓腔中作垂直于所述牙长轴线并经过根尖凸点的第二线段, 所述牙长 轴线将所述第二线段分为线段 d3、 线段 d4两部分, 其中, d3为偏唇侧线段, d4 为偏腭侧线段。
[0064] 可选的, 参见图 6所示, 所述分类单元 3包括:
[0065] 测量单元 31, 用于分别测量所述线段 dl、 所述线段 d2、 所述线段 d3以及所述线 段 d4的长度;
[0066] 第一比较单元 32, 用于比较线段 dl的长度和线段 d2的长度的大小, 根据比较结 果将所述上颌中切牙分为不同的大类;
[0067] 差值计算单元 33, 用于计算线段 d3的长度减去线段 d4的长度的差值;
[0068] 第二比较单元 34, 用于判断所述差值是否大于预设阈值, 根据判断结果再次将 各大类的上颌中切牙分为不同的亚类。
[0069] 可选的, 参见图 7所示, 在另一实施例中 (该实施例中的系统用于运行图 4所示 实施例提供的方法) , 所述上颌中切牙分类系统还包括:
[0070] 治疗建议获取单元 4, 用于根据所述上颌中切牙的类别确定并显示与所述上颌 中切牙相对应的治疗建议。
[0071] 需要说明的是, 本实施例提供的上颌中切牙分类系统中的各个单元由于本发明 方法实施例基于同一构思, 其带来的技术效果与本发明方法实施例相同, 具体 内容可参见本发明方法实施例中的叙述, 此处不再赘述。
[0072] 因此, 可以看出, 本发明实施例提供的上颌中切牙分类系统同样可以通过计算 机技术自动对不同的上颌中切牙进行分类, 简化了现有技术中对上颌中切牙进 行分类的操作步骤, 并且可以避免出现人为因素导致的误差, 提高了分类的准 确性。
[0073] 参见图 8, 是本发明另一实施例提供的一种上颌中切牙分类系统的示意性框图 , 该系统用于运行本发明图 1和图 4所示实施例提供的方法。 为了便于说明, 仅 仅示出了与本实施例相关的部分。
[0074] 参见图 8所示, 本实施例提供的一种上颌中切牙分类系统, 包括:
[0075] 处理器 810 (processor) , 通信接口 820 (Communications
Interface) , 存储器 830 (memory) , 总线 840。
[0076] 处理器 810, 通信接口 820, 存储器 830通过总线 840完成相互间的通信。
[0077] 通信接口 820, 用于与电缆调制解调器通信。
[0078] 处理器 810, 用于执行程序 831。
[0079] 具体地, 程序 831可以包括程序代码, 所述程序代码包括计算机操作指令。
[0080] 处理器 810可能是一个中央处理器 CPU, 或者是特定集成电路 ASIC (Applicatio n Specific Integrated Circuit) , 或者是被配置成实施本发明实施例的一个或多个 集成电路。
[0081] 存储器 830, 用于存放程序 831。 存储器 830可能包含高速 RAM存储器, 也可能 还包括非易失性存储器 (non-volatile memory) , 例如至少一个磁盘存储器。 程 序 831具体包括:
[0082] CBCT图像获取单元 1, 用于获取待分类的上颌中切牙的 CBCT图像;
[0083] 辅助线标记单元 2, 用于按照预设策略对所述 CBCT图像进行标记和作辅助线;
[0084] 分类单元 3, 用于根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖 的相对位置关系, 根据所述相对位置关系确定所述上颌中切牙的类别。
[0085] 可选的, 所述 CBCT图像获取单元 1具体用于:
[0086] 采用 CBCT机对待测者的颅颌面部进行扫描, 获取 Dicom格式的数据;
[0087] 采用医学影像软件加载所述数据, 并对所述数据进行三维重建, 得到包含有待 分类的上颌中切牙的 CBCT图像。
[0088] 可选的, 所述辅助线标记单元 2具体用于:
[0089] 在所述 CBCT图像中上颌中切牙的牙髓腔中标记出牙长轴线;
[0090] 在所述牙髓腔中釉牙骨质界往牙尖方向预设距离处作垂直于所述牙长轴线的第 一线段, 所述牙长轴线将所述第一线段分为线段 dl、 线段 d2两部分, 其中, dl 为偏唇侧的线段, d2为偏腭侧的线段;
[0091] 在所述牙髓腔中作垂直于所述牙长轴线并经过根尖凸点的第二线段, 所述牙长 轴线将所述第二线段分为线段 d3、 线段 d4两部分, 其中, d3为偏唇侧线段, d4 为偏腭侧线段。
[0092] 可选的, 所述分类单元 3包括:
[0093] 测量单元 31, 用于分别测量所述线段 dl、 所述线段 d2、 所述线段 d3以及所述线 段 d4的长度;
[0094] 第一比较单元 32, 用于比较线段 dl的长度和线段 d2的长度的大小, 根据比较结 果将所述上颌中切牙分为不同的大类;
[0095] 差值计算单元 33, 用于计算线段 d3的长度减去线段 d4的长度的差值;
[0096] 第二比较单元 34, 用于判断所述差值是否大于预设阈值, 根据判断结果再次将 各大类的上颌中切牙分为不同的亚类。
[0097] 可选的, 所述程序 831还包括:
[0098] 治疗建议获取单元 4, 用于根据所述上颌中切牙的类别确定并显示与所述上颌 中切牙相对应的治疗建议。
[0099] 所属领域的技术人员可以清楚地了解到, 为描述的方便和简洁, 上述描述的系 统中单元的具体工作过程, 可以参考前述方法实施例中的对应过程, 在此不再 赘述。
[0100] 在本申请所提供的几个实施例中, 应该理解到, 所揭露的系统和方法可以通过 其它的方式实现。 例如, 以上所描述的装置实施例仅仅是示意性的, 例如, 所 述单元的划分, 仅仅为一种逻辑功能划分, 实际实现吋可以有另外的划分方式 , 例如多个单元或组件可以结合或者可以集成到另一个系统, 或一些特征可以 忽略, 或不执行。 另一点, 所显示或讨论的相互之间的耦合或直接耦合或通信 连接可以是通过一些通信接口 820, 装置或单元的间接耦合或通信连接, 可以是 电性, 机械或其它的形式。
[0101] 所述作为分离部件说明的单元可以是或者也可以不是物理上分幵的, 作为单元 显示的部件可以是或者也可以不是物理单元, 即可以位于一个地方, 或者也可 以分布到多个网络模块上。 可以根据实际的需要选择其中的部分或者全部单元 来实现本实施例方案的目的。
[0102] 另外, 在本发明各个实施例中的各功能单元可以集成在一个处理模块中, 也可 以是各个单元单独物理存在, 也可以两个或两个以上单元集成在一个模块中。
[0103] 本发明实施例方法中的步骤可以根据实际需要进行顺序调整、 合并和刪减。
[0104] 本发明实施例系统中的单元可以根据实际需要进行合并、 划分和刪减。
[0105] 所述功能如果以软件功能模块的形式实现并作为独立的产品销售或使用吋, 可 以存储在一个终端可读取存储介质中。 基于这样的理解, 本发明的技术方案本 质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品 的形式体现出来, 该软件产品存储在一个存储介质中, 包括若干指令用以使得 一台终端 (可以是手机、 IPAD等) 执行本发明各个实施例所述方法的全部或部 分步骤。 而前述的存储介质包括: U盘、 移动硬盘、 只读存储器 (ROM, Readonly Memory) 、 随机存取存储器 (RAM, Random Access Memory) 、 磁碟或 者光盘等各种可以存储程序代码的介质。
[0106] 所属领域的技术人员可以清楚地了解到, 为描述的方便和简洁, 上述描述的系 统和单元的具体工作过程, 可以参考前述方法实施例中的对应过程, 在此不再 赘述。
[0107] 以上所述, 仅为本发明的具体实施方式, 但本发明的保护范围并不局限于此, 任何熟悉本技术领域的技术人员在本发明揭露的技术范围内, 可轻易想到各种 等效的修改或替换, 这些修改或替换都应涵盖在本发明的保护范围之内。 因此 , 本发明的保护范围应以权利要求的保护范围为准。

Claims

权利要求书
[权利要求 1] 一种上颌中切牙分类方法, 其特征在于, 包括:
获取待分类的上颌中切牙的 CBCT图像;
按照预设策略对所述 CBCT图像进行标记和作辅助线;
根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖的相对位 置关系, 根据所述相对位置关系确定所述上颌中切牙的类别。
[权利要求 2] 根据权利要求 1所述的上颌中切牙分类方法, 其特征在于, 所述获取 待分类的上颌中切牙的 CBCT图像具体包括:
采用 CBCT机对待测者的颅颌面部进行扫描, 获取 Dicom格式的数据 采用医学影像软件加载所述数据, 并对所述数据进行三维重建, 得到 包含有待分类的上颌中切牙的 CBCT图像。
[权利要求 3] 根据权利要求 1所述的上颌中切牙分类方法, 其特征在于, 所述按照 预设策略对所述 CBCT图像进行标记和做辅助线包括:
在所述 CBCT图像中上颌中切牙的牙髓腔中标记出牙长轴线; 在所述牙髓腔中釉牙骨质界往牙尖方向预设距离处作垂直于所述牙长 轴线的第一线段, 所述牙长轴线将所述第一线段分为线段 dl、 线段 d2 两部分, 其中, dl为偏唇侧的线段, d2为偏腭侧的线段;
在所述牙髓腔中作垂直于所述牙长轴线并经过根尖凸点的第二线段, 所述牙长轴线将所述第二线段分为线段 d3、 线段 d4两部分, 其中, d3 为偏唇侧线段, d4为偏腭侧线段。
[权利要求 4] 根据权利要求 3所述的上颌中切牙分类方法, 其特征在于, 所述根据 所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖的相对位置关 系, 根据所述相对位置关系确定所述上颌中切牙的类别包括: 分别测量所述线段 dl、 所述线段 d2、 所述线段 d3以及所述线段 d4的长 度;
比较线段 dl的长度和线段 d2的长度的大小, 根据比较结果将所述上颌 中切牙分为不同的大类; 计算线段 d3的长度减去线段 d4的长度的差值, 并判断所述差值是否大 于预设阈值, 根据判断结果再次将各大类的上颌中切牙分为不同的亚 类。
[权利要求 5] 根据权利要求 1所述的上颌中切牙分类方法, 其特征在于, 所述根据 所述标记和辅助线获取牙长轴线、 釉牙骨质界以及根尖的相对位置关 系, 根据所述相对位置关系确定所述上颌中切牙的类别之后还包括: 根据所述上颌中切牙的类别确定并显示与所述上颌中切牙相对应的治 疗建议。
[权利要求 6] 一种上颌中切牙分类系统, 其特征在于, 包括:
CBCT图像获取单元, 用于获取待分类的上颌中切牙的 CBCT图像; 辅助线标记单元, 用于按照预设策略对所述 CBCT图像进行标记和作 辅助线;
分类单元, 用于根据所述标记和辅助线获取牙长轴线、 釉牙骨质界以 及根尖的相对位置关系, 根据所述相对位置关系确定所述上颌中切牙 的类别。
[权利要求 7] 根据权利要求 6所述的上颌中切牙分类系统, 其特征在于, 所述 CBC
T图像获取单元具体用于:
采用 CBCT机对待测者的颅颌面部进行扫描, 获取 Dicom格式的数据 采用医学影像软件加载所述数据, 并对所述数据进行三维重建, 得到 包含有待分类的上颌中切牙的 CBCT图像。
[权利要求 8] 根据权利要求 6所述的上颌中切牙分类系统, 其特征在于, 所述辅助 线标记单元具体用于:
在所述 CBCT图像中上颌中切牙的牙髓腔中标记出牙长轴线; 在所述牙髓腔中釉牙骨质界往牙尖方向预设距离处作垂直于所述牙长 轴线的第一线段, 所述牙长轴线将所述第一线段分为线段 dl、 线段 d2 两部分, 其中, dl为偏唇侧的线段, d2为偏腭侧的线段;
在所述牙髓腔中作垂直于所述牙长轴线并经过根尖凸点的第二线段, 所述牙长轴线将所述第二线段分为线段 d3、 线段 d4两部分, 其中, d3 为偏唇侧线段, d4为偏腭侧线段。
[权利要求 9] 根据权利要求 8所述的上颌中切牙分类系统, 其特征在于, 所述分类 单元包括:
测量单元, 用于分别测量所述线段 dl、 所述线段 d2、 所述线段 d3以及 所述线段 d4的长度;
第一比较单元, 用于比较线段 dl的长度和线段 d2的长度的大小, 根据 比较结果将所述上颌中切牙分为不同的大类;
差值计算单元, 用于计算线段 d3的长度减去线段 d4的长度的差值; 第二比较单元, 用于判断所述差值是否大于预设阈值, 根据判断结果 再次将各大类的上颌中切牙分为不同的亚类。
[权利要求 10] 根据权利要求 6所述的上颌中切牙分类系统, 其特征在于, 还包括: 治疗建议获取单元, 用于根据所述上颌中切牙的类别确定并显示与所 述上颌中切牙相对应的治疗建议。
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