CN110478058A - A kind of 3D root canal treatment plan control figures based on Internet of Things - Google Patents

A kind of 3D root canal treatment plan control figures based on Internet of Things Download PDF

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Publication number
CN110478058A
CN110478058A CN201910738394.3A CN201910738394A CN110478058A CN 110478058 A CN110478058 A CN 110478058A CN 201910738394 A CN201910738394 A CN 201910738394A CN 110478058 A CN110478058 A CN 110478058A
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module
point cloud
model
root canal
tooth
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杨力
王晓红
杨轶珂
程生赋
达其伟
刘发生
李玉兰
许晓慧
王新绘
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Minqin People's Hospital
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Minqin People's Hospital
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61CDENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C5/00Filling or capping teeth
    • A61C5/40Implements for surgical treatment of the roots or nerves of the teeth; Nerve needles; Methods or instruments for medication of the roots

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  • Oral & Maxillofacial Surgery (AREA)
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Abstract

The invention belongs to 3D root canal treatments fields, a kind of 3D root canal treatment plan control figures based on Internet of Things are disclosed, the 3D root canal treatment plan control figures based on Internet of Things include: 3D scan module, main control module, Internet of Things traffic model, Data correction module, 3D model construction module, analog simulation module, detect module, Scheme Choice module, display module.The present invention realizes the segmentation of occlusal contact condition tooth in CT image by 3D model construction module, the complete upper jaw and mandibular teeth occlusion model under occlusive state are rebuild, for the foundation of occluding relation good in correction and orthognathous therapeutic process, accurate full dental cast is provided;The dental arch model with high-precision corona information can quickly be established;Meanwhile by detecting the case where module is according to root canal inside stop and diameter is detected, it can judge that root canal preparation whether there is insufficient or excessive problem, and then provide guidance for root canal preparation.

Description

A kind of 3D root canal treatment plan control figures based on Internet of Things
Technical field
The invention belongs to 3D root canal treatments field more particularly to a kind of 3D root canal treatment plan controls based on Internet of Things System processed.
Background technique
Root canal therapy is also known as endodontic treatment, is a kind of operation that pulp necrosis and tooth root infection are treated during dentist learns.It should Operation remains tooth, thus complementary with tooth extraction.It performs the operation cumbersome.It generally wants to go to a doctor and could complete for 2-4 times.With technology and material The development of material, disposable root canal treatment are received by more doctors and patient, and nonpain treatment has clinically also obtained extensively Application, treatment is no longer painful.However, the tooth model constructed in existing endodontic procedure is inaccurate, information is not complete;Together When, cannot judge whether root canal preparation is sufficient, influence to treat.
In conclusion problem of the existing technology is: the tooth model that constructs in existing endodontic procedure is inaccurate, Information is not complete;Meanwhile cannot judge whether root canal preparation is sufficient, it influences to treat.
Summary of the invention
In view of the problems of the existing technology, the 3D root canal treatment plan control based on Internet of Things that the present invention provides a kind of System.
The invention is realized in this way a kind of 3D root canal treatment plan control figures based on Internet of Things include:
3D scan module, main control module, Internet of Things traffic model, Data correction module, 3D model construction module, analog simulation Module detects module, Scheme Choice module, display module;
3D scan module, connect with main control module, for scanning tooth data by CT scan equipment;
Main control module, it is imitative with 3D scan module, Internet of Things traffic model, Data correction module, 3D model construction module, simulation True module detects module, Scheme Choice module, display module connection, works normally for controlling modules by host;
Internet of Things traffic model, connect with main control module, carries out Internet of Things communication for connecting Internet of Things by wireless transmitter Operation;
Data correction module, connect with main control module, for being corrected by tooth data of the correction program to acquisition;
3D model construction module, connect with main control module, for constructing tooth according to the CT data of acquisition by modeling software Tooth 3D model;
Analog simulation module, connect with main control module, for the 3D modeling root canal by simulated program according to tooth Therapeutic scheme;
Module is detected, is connect with main control module, it is whether sufficient for detecting root canal preparation;
Scheme Choice module, connect with main control module, for selecting the preferred plan of root canal treatment by option program;
Display module is connect with main control module, the tooth 3D for tooth data, building by display display scanning Model, selection root canal treatment scheme.
Further, the 3D model construction module construction method is as follows:
1) the CT image under all occlusive states comprising maxillary teeth is split by image processing program, is based on Contour extraction method obtains all teeth of the upper jaw and therewith the lower jaw part contour information of occlusal contact condition, and according to extraction Profile information reconstruct three-dimensional grid model;
2) divisional plane is established, is partitioned into maxillary teeth from three-dimensional grid model constructed by step 1) using divisional plane CT image root of the tooth point cloud model;
3) from step 1) contour information obtained, select maxillary teeth in not with lower jaw odontogenesis occlusal contact condition The single or multiple teeth with complete corona outer profile information, and point cloud format is saved as, obtain the tooth of CT image Comb point cloud model;
4) the external scan image for obtaining the upper jaw, scan image is split, independent crown surfaces is obtained, saves as Scan data corona point cloud model;Scanning corona corresponding with the tooth selected in step 3) is selected, a cloud is saved as Format obtains the point cloud model II of scanning corona;
The point cloud model II for scanning corona is registrated with the corona point cloud model of CT image obtained in step 3), is obtained To between two group models movement and rotation relationship;
5) the root of the tooth point cloud model of CT image is merged with scan data corona point cloud model obtained by step 4), weight It builds to obtain complete maxillary dentition, fusion method is: using the movement and rotation relationship generated in registration process, by the tooth of CT image Root point cloud model close with scan data corona point cloud model obtained by step 4) and be set;Using the point cloud compressing based on bounding box Method realizes that two groups of point cloud models are spliced into one group of point cloud model;
Adjacent tooth point cloud model is respectively placed in two groups, using the quick triangulation principle of Delaunay, cloud will be put Model Reconstruction is three-dimensional grid model;
6) the CT image under all occlusive states comprising mandibular teeth is split, is based on contour extraction method, obtains All teeth of jaw and the therewith upper jaw part contour information of occlusal contact condition are removed, and is reconstructed according to the profile information of extraction Three-dimensional grid model;
7) divisional plane is established, is partitioned into mandibular teeth from three-dimensional grid model constructed by step 6) using divisional plane CT image root of the tooth point cloud model;
8) from step 6) contour information obtained, select lower jaw tooth in not with upper jaw odontogenesis occlusal contact condition The single or multiple teeth with complete corona outer profile information, and point cloud format is saved as, obtain the tooth of CT image Comb point cloud model;
9) the external scan image for obtaining lower jaw, scan image is split, independent crown surfaces is obtained, saves as Scan data corona point cloud model;
Scanning corona corresponding with the tooth selected in step 8) is obtained, point cloud format is saved as, is swept Retouch the point cloud model II of corona;
The point cloud model II for scanning corona is registrated with the corona point cloud model of CT image obtained in step 8), is obtained To between two group models movement and rotation relationship;
10) by scan data corona point cloud obtained by the root of the tooth point cloud model of step 7) CT image obtained and step 9) Model is merged, and reconstruction obtains complete mandibular dentition, and fusion method is: being closed using the movement and rotation that generate in registration process The root of the tooth point cloud model of CT image close with scan data corona point cloud model obtained by step 9) and be set by system;Using being based on The point cloud compressing method of bounding box realizes that two groups of point cloud models are spliced into one group of point cloud model;By adjacent tooth point cloud model Two groups are respectively placed in, using the quick triangulation principle of Delaunay, point cloud model is redeveloped into three-dimensional grid model.
It is further, described that detect module method for surveying as follows:
(1) provide Isolated Tooth, to root canal hat 2/3 carry out dredging expansion processing, and observe root canal whether with prepared form It is adapted;
(2) dredging processing is carried out to the root canal tip of a root 1/3, and carries out linear measure longimetry;
(3) expand the root canal tip of a root 1/3 to measurement stop;
(4) form for judging root canal all directions at stop is detected;
(5) continue to expand root canal, and detect the form of stop all directions, there are abnormal structural formulas when detecting on root canal wall When, then stop the root canal wall for expanding the direction;
(6) as do not detected on root canal wall, there are tiny step structures, then to the root canal wall side for not detecting tiny step To progress root canal preparation.
Advantages of the present invention and good effect are as follows: the present invention realizes occlusion in CT image by 3D model construction module and connects The segmentation for touching tooth has been rebuild the complete upper jaw and mandibular teeth occlusion model under occlusive state, had been treated for correction and orthognathous The foundation of good occluding relation in journey provides accurate full dental cast;On the basis of existing ripe algorithm, by a variety of Level set algorithm realizes the extraction of CT image Tooth threedimensional model;By combining CT image and 3 d scan data, pass through The operation such as the registration of point cloud model and fusion, tri patch reconstruction, can quickly establish the denture with high-precision corona information Model;Meanwhile by detecting the case where module is according to root canal inside stop and diameter is detected, whether root canal preparation can be judged Shortcomings or excessive problem, and then guidance is provided for root canal preparation.
Detailed description of the invention
Fig. 1 is the 3D root canal treatment plan control figures structural block diagram provided in an embodiment of the present invention based on Internet of Things.
In figure: 1,3D scan module;2, main control module;3, Internet of Things traffic model;4, Data correction module;5,3D model structure Model block;6, analog simulation module;7, module is detected;8, Scheme Choice module;9, display module.
Specific embodiment
In order to further understand the content, features and effects of the present invention, the following examples are hereby given, and cooperate attached drawing Detailed description are as follows.
Structure of the invention is explained in detail with reference to the accompanying drawing.
As shown in Figure 1, the 3D root canal treatment plan control figures provided in an embodiment of the present invention based on Internet of Things include: 3D Scan module 1, main control module 2, Internet of Things traffic model 3, Data correction module 4,3D model construction module 5, analog simulation module 6, module 7, Scheme Choice module 8, display module 9 are detected.
3D scan module 1 is connect with main control module 2, for scanning tooth data by CT scan equipment;
Main control module 2, with 3D scan module 1, Internet of Things traffic model 3, Data correction module 4,3D model construction module 5, Analog simulation module 6 detects module 7, Scheme Choice module 8, the connection of display module 9, for controlling modules by host It works normally;
Internet of Things traffic model 3 is connect with main control module 2, logical for connecting Internet of Things progress Internet of Things by wireless transmitter Letter operation;
Data correction module 4 is connect with main control module 2, for carrying out school by tooth data of the correction program to acquisition Just;
3D model construction module 5 is connect with main control module 2, for being constructed by modeling software according to the CT data of acquisition Tooth 3D model;
Analog simulation module 6 is connect with main control module 2, for the 3D modeling root by simulated program according to tooth Pipe therapeutic scheme;
Module 7 is detected, is connect with main control module 2, it is whether sufficient for detecting root canal preparation;
Scheme Choice module 8 is connect with main control module 2, for selecting the preferred plan of root canal treatment by option program;
Display module 9 is connect with main control module 2, the tooth for tooth data, building by display display scanning 3D model, selection root canal treatment scheme.
5 construction method of 3D model construction module provided by the invention is as follows:
1) the CT image under all occlusive states comprising maxillary teeth is split by image processing program, is based on Contour extraction method obtains all teeth of the upper jaw and therewith the lower jaw part contour information of occlusal contact condition, and according to extraction Profile information reconstruct three-dimensional grid model;
2) divisional plane is established, is partitioned into maxillary teeth from three-dimensional grid model constructed by step 1) using divisional plane CT image root of the tooth point cloud model;
3) from step 1) contour information obtained, select maxillary teeth in not with lower jaw odontogenesis occlusal contact condition The single or multiple teeth with complete corona outer profile information, and point cloud format is saved as, obtain the tooth of CT image Comb point cloud model;
4) the external scan image for obtaining the upper jaw, scan image is split, independent crown surfaces is obtained, saves as Scan data corona point cloud model;Scanning corona corresponding with the tooth selected in step 3) is selected, a cloud is saved as Format obtains the point cloud model II of scanning corona;
The point cloud model II for scanning corona is registrated with the corona point cloud model of CT image obtained in step 3), is obtained To between two group models movement and rotation relationship;
5) the root of the tooth point cloud model of CT image is merged with scan data corona point cloud model obtained by step 4), weight It builds to obtain complete maxillary dentition, fusion method is: using the movement and rotation relationship generated in registration process, by the tooth of CT image Root point cloud model close with scan data corona point cloud model obtained by step 4) and be set;Using the point cloud compressing based on bounding box Method realizes that two groups of point cloud models are spliced into one group of point cloud model;
Adjacent tooth point cloud model is respectively placed in two groups, using the quick triangulation principle of Delaunay, cloud will be put Model Reconstruction is three-dimensional grid model;
6) the CT image under all occlusive states comprising mandibular teeth is split, is based on contour extraction method, obtains All teeth of jaw and the therewith upper jaw part contour information of occlusal contact condition are removed, and is reconstructed according to the profile information of extraction Three-dimensional grid model;
7) divisional plane is established, is partitioned into mandibular teeth from three-dimensional grid model constructed by step 6) using divisional plane CT image root of the tooth point cloud model;
8) from step 6) contour information obtained, select lower jaw tooth in not with upper jaw odontogenesis occlusal contact condition The single or multiple teeth with complete corona outer profile information, and point cloud format is saved as, obtain the tooth of CT image Comb point cloud model;
9) the external scan image for obtaining lower jaw, scan image is split, independent crown surfaces is obtained, saves as Scan data corona point cloud model;
Scanning corona corresponding with the tooth selected in step 8) is obtained, point cloud format is saved as, is swept Retouch the point cloud model II of corona;
The point cloud model II for scanning corona is registrated with the corona point cloud model of CT image obtained in step 8), is obtained To between two group models movement and rotation relationship;
10) by scan data corona point cloud obtained by the root of the tooth point cloud model of step 7) CT image obtained and step 9) Model is merged, and reconstruction obtains complete mandibular dentition, and fusion method is: being closed using the movement and rotation that generate in registration process The root of the tooth point cloud model of CT image close with scan data corona point cloud model obtained by step 9) and be set by system;Using being based on The point cloud compressing method of bounding box realizes that two groups of point cloud models are spliced into one group of point cloud model;By adjacent tooth point cloud model Two groups are respectively placed in, using the quick triangulation principle of Delaunay, point cloud model is redeveloped into three-dimensional grid model.
It is provided by the invention that detect 7 method for surveying of module as follows:
(1) provide Isolated Tooth, to root canal hat 2/3 carry out dredging expansion processing, and observe root canal whether with prepared form It is adapted;
(2) dredging processing is carried out to the root canal tip of a root 1/3, and carries out linear measure longimetry;
(3) expand the root canal tip of a root 1/3 to measurement stop;
(4) form for judging root canal all directions at stop is detected;
(5) continue to expand root canal, and detect the form of stop all directions, there are abnormal structural formulas when detecting on root canal wall When, then stop the root canal wall for expanding the direction;
(6) as do not detected on root canal wall, there are tiny step structures, then to the root canal wall side for not detecting tiny step To progress root canal preparation.
When the invention works, firstly, scanning tooth data using CT scan equipment by 3D scan module 1;Secondly, master control Module 2 connects Internet of Things using wireless transmitter by Internet of Things traffic model 3 and carries out Internet of Things traffic operation;Pass through Data correction mould Block 4 is corrected using tooth data of the correction program to acquisition;By 3D model construction module 5 using modeling software according to adopting The CT data of collection construct tooth 3D model;By analog simulation module 6 using simulated program according to the 3D modeling root of tooth Pipe therapeutic scheme;Whether by detecting module 7, to detect root canal preparation sufficient;Then, selection journey is utilized by Scheme Choice module 8 The preferred plan of sequence selection root canal treatment;Finally, tooth data, building by display module 9 using display display scanning Tooth 3D model, selection root canal treatment scheme.
The above is only the preferred embodiments of the present invention, and is not intended to limit the present invention in any form, Any simple modification made to the above embodiment according to the technical essence of the invention, equivalent variations and modification, belong to In the range of technical solution of the present invention.

Claims (3)

1. a kind of 3D root canal treatment plan control figures based on Internet of Things, which is characterized in that the 3D root based on Internet of Things Plan control figures are treated in governance
3D scan module, main control module, Internet of Things traffic model, Data correction module, 3D model construction module, analog simulation mould Block detects module, Scheme Choice module, display module;
3D scan module, connect with main control module, for scanning tooth data by CT scan equipment;
Main control module, with 3D scan module, Internet of Things traffic model, Data correction module, 3D model construction module, analog simulation mould Block detects module, Scheme Choice module, display module connection, works normally for controlling modules by host;
Internet of Things traffic model, connect with main control module, carries out Internet of Things traffic operation for connecting Internet of Things by wireless transmitter;
Data correction module, connect with main control module, for being corrected by tooth data of the correction program to acquisition;
3D model construction module, connect with main control module, for constructing tooth 3D according to the CT data of acquisition by modeling software Model;
Analog simulation module, connect with main control module, for the 3D modeling root canal treatment by simulated program according to tooth Scheme;
Module is detected, is connect with main control module, it is whether sufficient for detecting root canal preparation;
Scheme Choice module, connect with main control module, for selecting the preferred plan of root canal treatment by option program;
Display module is connect with main control module, the tooth 3D mould for tooth data, building by display display scanning Type, the root canal treatment scheme of selection.
2. the 3D root canal treatment plan control figures based on Internet of Things as described in claim 1, which is characterized in that the 3D model It is as follows to construct module construction method:
1) the CT image under all occlusive states comprising maxillary teeth is split by image processing program, is based on profile Extracting method obtains all teeth of the upper jaw and therewith the lower jaw part contour information of occlusal contact condition, and according to the wheel of extraction Wide signal reconstruct goes out three-dimensional grid model;
2) divisional plane is established, is partitioned into the CT figure of maxillary teeth from three-dimensional grid model constructed by step 1) using divisional plane As root of the tooth point cloud model;
3) it from step 1) contour information obtained, selects not single with lower jaw odontogenesis occlusal contact condition in maxillary teeth Or multiple teeth with complete corona outer profile information, and point cloud format is saved as, obtain the corona point of CT image Cloud model;
4) the external scan image for obtaining the upper jaw, scan image is split, independent crown surfaces are obtained, saves as scanning Data corona point cloud model;Scanning corona corresponding with the tooth selected in step 3) is selected, point cloud format is saved as, Obtain the point cloud model II of scanning corona;
The point cloud model II for scanning corona is registrated with the corona point cloud model of CT image obtained in step 3), obtains two Movement and rotation relationship between group model;
5) the root of the tooth point cloud model of CT image is merged with scan data corona point cloud model obtained by step 4), is rebuild To complete maxillary dentition, fusion method is: using the movement and rotation relationship generated in registration process, by the root of the tooth point of CT image Cloud model close with scan data corona point cloud model obtained by step 4) and be set;Using the point cloud compressing side based on bounding box Method realizes that two groups of point cloud models are spliced into one group of point cloud model;Adjacent tooth point cloud model is respectively placed in two groups, is utilized The quick triangulation principle of Delaunay, is redeveloped into three-dimensional grid model for point cloud model;
6) the CT image under all occlusive states comprising mandibular teeth is split, contour extraction method is based on, under acquisition The upper jaw part contour information of all teeth of jaw and therewith occlusal contact condition, and three-dimensional is reconstructed according to the profile information of extraction Grid model;
7) divisional plane is established, is partitioned into the CT figure of mandibular teeth from three-dimensional grid model constructed by step 6) using divisional plane As root of the tooth point cloud model;
8) it from step 6) contour information obtained, selects not single with upper jaw odontogenesis occlusal contact condition in lower jaw tooth Or multiple teeth with complete corona outer profile information, and point cloud format is saved as, obtain the corona point of CT image Cloud model;
9) the external scan image for obtaining lower jaw, scan image is split, independent crown surfaces are obtained, saves as scanning Data corona point cloud model;
Scanning corona corresponding with the tooth selected in step 8) is obtained, point cloud format is saved as, obtains scanning tooth The point cloud model II of hat;
The point cloud model II for scanning corona is registrated with the corona point cloud model of CT image obtained in step 8), obtains two Movement and rotation relationship between group model;
10) by scan data corona point cloud model obtained by the root of the tooth point cloud model of step 7) CT image obtained and step 9) It is merged, reconstruction obtains complete mandibular dentition, and fusion method is: using the movement and rotation relationship generated in registration process, The root of the tooth point cloud model of CT image close with scan data corona point cloud model obtained by step 9) and is set;Using based on encirclement The point cloud compressing method of box realizes that two groups of point cloud models are spliced into one group of point cloud model;Adjacent tooth point cloud model is distinguished Two groups are placed in, using the quick triangulation principle of Delaunay, point cloud model is redeveloped into three-dimensional grid model.
3. the 3D root canal treatment plan control figures based on Internet of Things as described in claim 1, which is characterized in that described to detect mould Block method for surveying is as follows:
(1) Isolated Tooth is provided, dredging expansion processing is carried out to root canal hat 2/3, and observe whether root canal mutually fits with prepared form It answers;
(2) dredging processing is carried out to the root canal tip of a root 1/3, and carries out linear measure longimetry;
(3) expand the root canal tip of a root 1/3 to measurement stop;
(4) form for judging root canal all directions at stop is detected;
(5) continue to expand root canal, and detect the form of stop all directions, when detecting on root canal wall there are when abnormal structural formula, Then stop expanding the root canal wall of the direction;
(6) there are tiny step structures as do not detected on root canal wall, then to do not detect the root canal wall direction of tiny step into Row root canal preparation.
CN201910738394.3A 2019-08-12 2019-08-12 A kind of 3D root canal treatment plan control figures based on Internet of Things Pending CN110478058A (en)

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CN116671956A (en) * 2023-07-17 2023-09-01 广州医思信息科技有限公司 Oral cavity data acquisition method based on comparison model

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