WO2023277674A1 - Procédé de fabrication d'une dent ayant un canal en forme de c commun chez les coréens - Google Patents

Procédé de fabrication d'une dent ayant un canal en forme de c commun chez les coréens Download PDF

Info

Publication number
WO2023277674A1
WO2023277674A1 PCT/KR2022/095052 KR2022095052W WO2023277674A1 WO 2023277674 A1 WO2023277674 A1 WO 2023277674A1 KR 2022095052 W KR2022095052 W KR 2022095052W WO 2023277674 A1 WO2023277674 A1 WO 2023277674A1
Authority
WO
WIPO (PCT)
Prior art keywords
root canal
tooth
thickness
image
length
Prior art date
Application number
PCT/KR2022/095052
Other languages
English (en)
Korean (ko)
Inventor
양성은
Original Assignee
가톨릭대학교 산학협력단
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 가톨릭대학교 산학협력단 filed Critical 가톨릭대학교 산학협력단
Priority to CN202280030282.2A priority Critical patent/CN117202870A/zh
Publication of WO2023277674A1 publication Critical patent/WO2023277674A1/fr

Links

Images

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61C—DENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C13/00—Dental prostheses; Making same
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61C—DENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE
    • A61C9/00—Impression cups, i.e. impression trays; Impression methods
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B33—ADDITIVE MANUFACTURING TECHNOLOGY
    • B33Y—ADDITIVE MANUFACTURING, i.e. MANUFACTURING OF THREE-DIMENSIONAL [3-D] OBJECTS BY ADDITIVE DEPOSITION, ADDITIVE AGGLOMERATION OR ADDITIVE LAYERING, e.g. BY 3-D PRINTING, STEREOLITHOGRAPHY OR SELECTIVE LASER SINTERING
    • B33Y80/00—Products made by additive manufacturing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders

Definitions

  • the present invention relates to a method for manufacturing a tooth having a standardized C-shaped root canal in Koreans, and more particularly, to a method for manufacturing a tooth having a standardized C-shaped root canal in Korean based on image information of a plurality of teeth. It relates to a method for manufacturing a tooth having a C-shaped root canal.
  • the C-shaped root canal is a tooth with a high failure rate of root canal treatment because it is difficult to accurately form and fill the root canal during root canal treatment. It is a variant form of root canal first reported by Cooke and Cox in 1979.
  • the C-shaped root canal shows a C-shaped root canal on the root cutting surface, has a deep pulp cavity, and has a C-shaped root canal entrance that includes the mesial buccal root canal to the distal root canal or the mesiolingual root canal to the mesial buccal and distal root canals.
  • the above C-shaped root canal is occasionally found in the upper molars and lower first molars, but is mainly found in the lower second molars.
  • Patent Document 1 Patent Publication No. 10-2018-0109412 (2018.10.08.)
  • Patent Document 2 Japanese Patent Registration No. 5689272 (2015.02.06.)
  • the purpose of the present invention to solve the above problems is to determine the average crown length based on the data of 2508 mandibular second molars with C-shaped root canals measured from 2D cross-sectional images and 3D stereoscopic images of multiple teeth. , Root length, crown width, pulp cavity length, and root canal length were investigated, and the shape of the C-shaped root canal was analyzed to present a method for 3D printing teeth with standardized C-shaped root canals in Koreans.
  • the configuration of the present invention for achieving the above object is (a) obtaining a two-dimensional cross-sectional image and a plurality of CBCT three-dimensional images for a plurality of teeth; (b) measuring crown length, root length, crown width, pulp cavity length, and root canal length in a panoramic two-dimensional cross-sectional image of the mandibular second molar having a C-shaped root canal; (c) checking the expression level for each root canal type in the CBCT 3D image of the mandibular second molar having the C-shaped root canal; (d) measuring the length of the main part by analyzing the cross section at the beginning of the root canal and the cross section at 5 mm from the root apex in the CBCT 3D image; (e) calculating, by a calculator, an average value of crown lengths, an average value of root lengths, an average value of crown widths, an average value of pulp cavity lengths, an average value of root canal lengths, and an average value of lengths of major parts; (f
  • the tooth in step (a), may be a mandibular second molar.
  • the two-dimensional cross-sectional image is a cross-sectional image obtained by transversely cutting a portion located 5 mm above an orifice of a root canal of the tooth or a root apex of the tooth in a state in which the tooth is standing.
  • the CBCT three-dimensional image may be characterized in that the image of the appearance of the teeth.
  • step (c) may include (c1) the deep learning unit the thickness of the first intermediate region, the thickness of the distal region, the thickness of the second intermediate region and the thickness of the second intermediate region for the plurality of 2-dimensional sectional images. determining whether the C-shaped root canal exists inside the plurality of teeth according to whether an intermediate wall thickness exists; (c2) classifying, by the deep learning unit, a 2D sectional image having the C-shaped root canal among a plurality of 2D sectional images; (c3) classifying, by the deep learning unit, a CBCT 3D image of a 2D sectional image having a C-shaped root canal among a plurality of CBCT 3D images into a CBCT 3D image having the C-shaped root canal, The deep learning unit detects that the C-shaped root canal exists in the 2D cross-sectional image when the first intermediate region thickness, the distal portion thickness, the second intermediate region thickness, and the intermediate wall thickness all exist in the 2D cross-sectional image.
  • the deep learning unit determines that the 2D cross-sectional image It may be characterized in that it is determined that the C-shaped root canal does not exist.
  • step (c2) the panoramic 2D sectional images having the C-shaped root canal classified by the deep learning unit occupy 35.3% of the plurality of panoramic 2D sectional images.
  • the step (d) includes (d1) the first intermediate zone thickness, which is the shortest distance between the inner surface of the cementum and the C-shaped root canal in the plurality of 2-dimensional cross-sectional images. ) is measured; (d2) measuring the distal zone thickness, which is the shortest distance between the concave surface of the cementum and the C-shaped root canal, in the plurality of 2D cross-sectional images; (d3) measuring a second middle zone thickness, which is the shortest distance between one inner surface of the cementum and the other inner surface of the cementum facing the C-shaped root canal, in the plurality of 2-dimensional cross-sectional images; (d4) measuring a middle wall thickness, which is the shortest distance between the concave surface of the cementum and the surface facing the concave surface of the cementum, in the plurality of 2D cross-sectional images; and (d5) transmitting the thickness of the first intermediate region, the thickness of the distal portion, the thickness of the second intermediate region, and the thickness of the intermediate wall of
  • the average value of the crown length calculated by the calculator is 5.96 mm
  • the average value of the root length is 13.65 mm
  • the average value of the crown width is 11.30
  • the average value of the pulp cavity length is 3.16
  • the average value of the root canal length is 8.83.
  • the 2D cross-sectional image of the 3D standard image is a 2D standard image
  • step (h1) the 3D printer receives the 3D standard image from the deep learning unit.
  • Receiving the 2D standard image and the first intermediate region thickness, the distal portion thickness, the second intermediate region thickness, and the intermediate wall thickness for the 2D standard image (h2) the 3D printer based on the 2D standard image, the first intermediate region thickness, the distal portion thickness, the second intermediate region thickness and the intermediate wall thickness of the 2D standard image, and the 3D standard image modeling a 3-dimensional C-shaped root canal and 3-dimensional teeth; and (h3) 3D printing, by the 3D printer, the tooth to which the C-shaped root canal is reflected according to the shape information of the modeled 3D C-shaped root canal and the modeled 3-D tooth.
  • the configuration of the present invention for achieving the above object provides a tooth having a standardized C-shaped root canal for Koreans manufactured by the method for manufacturing a tooth having a standardized C-shaped root canal for Koreans as described above.
  • the teeth may be characterized as standardized teeth.
  • the effect of the present invention according to the configuration as described above is to classify teeth having C-shaped root canals based on a plurality of two-dimensional cross-sectional images of a plurality of teeth, and measure from CBCT three-dimensional images of a plurality of teeth among a plurality of teeth
  • a tooth that matches the average value of crown length, root length, crown width, pulp cavity length, and root canal length is selected as a standardized 3D standard image, and based on the 3D standard image and the 2D cross-sectional image of the 3D standard image, C
  • 3D-printing teeth with root canals and providing them to practitioners it is possible to fairly evaluate practitioners who practice with standardized teeth with C-shaped root canals.
  • 1 is a flow chart showing a method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention.
  • FIG. 2 is a cross-sectional view showing the types of root canals inside the second molar.
  • FIG. 3 is a cross-sectional view showing the C-shaped root canal of FIG. 2 and the cementum surrounding the C-shaped root canal.
  • FIG. 4 (a) and (b) show the average value of the crown length among a plurality of CBCT 3D images by a deep learning unit in the method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention.
  • It is a diagram showing a 3-dimensional standard image that is approximately matched with the average value of the root length, the average value of the crown width, the average value of the pulp cavity length, and the average value of the root canal length.
  • 5 to 11 are diagrams illustrating a process of 3D modeling a C-shaped root canal and a tooth having a C-shaped root canal in a method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention.
  • FIG. 12 (a) and (b) show the crown length, root length, crown width, pulp cavity length, and root canal length in the method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention. It is a perspective view from one direction showing a C-shaped root canal modeled based on an unreflected 3D standard image and a tooth having a C-shaped root canal.
  • FIG. 13 (a) and (b) show the crown length, root length, crown width, pulp cavity length, and root canal length in the method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention. It is a perspective view from one direction showing a tooth having a C-shaped root canal and a C-shaped root canal modeled based on a 3D standard image that has been reflected and corrected.
  • FIGS. 14(a) and (b) are perspective views from one direction illustrating modeling of dentin surrounding the C-shaped root canal shown in FIGS. 13(a) and (b).
  • FIG. 15 is a cross-sectional view showing a C-shaped root canal and a tooth obtained by transversely cutting the orifice of the root canal shown in FIGS. 12 (a) and (b).
  • FIG. 17 is a cross-sectional view showing a C-shaped root canal and a tooth obtained by transversely cutting the orifice of the root canal shown in FIGS. 13 (a) and (b).
  • the most preferred embodiment according to the present invention (a) acquiring a plurality of 2-dimensional cross-sectional images and a plurality of CBCT 3-dimensional images of the teeth; (b) measuring crown length, root length, crown width, pulp cavity length, and root canal length in a panoramic two-dimensional cross-sectional image of the mandibular second molar having a C-shaped root canal; (c) checking the expression level for each root canal type in the CBCT 3D image of the mandibular second molar having the C-shaped root canal; (d) measuring the length of the main part by analyzing the cross section at the beginning of the root canal and the cross section at 5 mm from the root apex in the CBCT 3D image; (e) calculating, by a calculator, an average value of crown lengths, an average value of root lengths, an average value of crown widths, an average value of pulp cavity lengths, an average value of root canal lengths, and an average value of lengths of major parts; (f) The deep learning unit analyzes
  • the present invention is intended to provide the present invention in view of the above.
  • FIG. 1 is a flow chart showing a method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention.
  • 2 is a cross-sectional view showing the types of root canals inside the second molar.
  • FIG. 3 is a cross-sectional view showing the C-shaped root canal of FIG. 2 and the cementum surrounding the C-shaped root canal.
  • a method for manufacturing a tooth having a standardized C-shaped root canal in Koreans includes (a) a 2-dimensional cross-sectional image and a plurality of CBCT 3-dimensional images of a plurality of teeth Obtaining (S100), (b) measuring the crown length, root length, crown width, pulp cavity length and root canal length in the panoramic two-dimensional cross-sectional image of the mandibular second molar having a C-shaped root canal (S200) , (c) Checking the expression level for each type of root canal in the CBCT 3D image of the mandibular second molar with C-shaped root canal (S300, (d) 5 mm position from the cross section of the root canal and the root apex in the CBCT 3D image) Analyzing the cross section of the tooth and measuring the length of the main part (S400), (e) the calculation device calculates the average value of the crown length, the average root length, the average value of the
  • the CBCT device is a cone beam city (CBCT: Cone Beam Computerized Tomography) that acquires a panoramic 2-dimensional sectional image and a CBCT 3-dimensional image by synthesizing each image with a computer program after photographing the subject from 3 to 4 directions around the subject. , mainly used in dentistry.
  • CBCT Cone Beam Computerized Tomography
  • step (a) the panoramic 2D cross-sectional image and the CBCT 3D image are obtained by taking a panoramic image of the same tooth, and in this case, the tooth is the mandibular second molar.
  • step (b) the crown length, root length, crown width, pulp cavity length, and root canal length are measured in a plurality of CBCT 3D images of the C-shaped root canal.
  • the crown length, root length, crown width, pulp cavity length, and root canal length of CBCT 3D images of 2508 mandibular second molars are measured.
  • the length of the crown, the length of the root, the width of the crown, the length of the pulp cavity, and the length of the root canal are the lengths of the crown, root, pulp cavity, and root canal constituting the tooth, and correspond to well-known contents, so detailed descriptions thereof will be omitted.
  • the crown length, root length, crown width, pulp cavity length, and root canal length in the measured CBCT 3D images are transmitted to the calculator.
  • step (c1) the deep learning unit determines a number of first intermediate region thicknesses, distal region thicknesses, second intermediate region thicknesses, and intermediate wall thicknesses for the plurality of panoramic two-dimensional cross-sectional images. Determining whether there is a C-shaped root canal inside the tooth, (c2) deep learning unit classifying panoramic 2D cross-sectional images having a C-shaped root canal among multiple panoramic 2D cross-sectional images, (c3) deep learning unit classifying a plurality of panoramic 2D cross-sectional images Classifying a CBCT 3D image of a panoramic 2D sectional image having a C-shaped root canal among CBCT 3D images of a root canal into a CBCT 3D image having a C-shaped root canal.
  • panoramic 2D sectional images were taken for 2508 mandibular second molars, and it was confirmed that there were various root canals among 2508 panoramic 2D sectional images, as shown in FIG. 2 according to the shape of the canal.
  • the one shown in C1 relates to a C-shaped root canal, and it is known that such a C-shaped root canal occurs more frequently in teeth of Asians such as Koreans, Japanese, and Chinese than other races.
  • C-shaped root canals occur in 2.7% of Caucasian teeth, whereas C-shaped canals occur more than 30% in Asian teeth.
  • the panoramic 2D sectional images with the C-shaped root canal classified by the deep learning unit account for 35.3% of the plurality of panoramic 2D sectional images.
  • the deep learning unit performs deep learning based on a plurality of panoramic 2D cross-sectional images and classifies the root canal according to the type as shown in FIG. 2 . Accordingly, as shown in FIG. 2, the C-shaped root canal of the C1 type occupied the highest proportion at 35.3% of the total, followed by C3 (21.6%) and C2 (21.8%) in that order.
  • the deep learning unit determines that a C-shaped root canal is present in the panoramic 2D cross-sectional image if the thickness of the first intermediate region, the thickness of the distal portion, the thickness of the second intermediate region, and the thickness of the middle wall all exist in the panoramic 2D cross-sectional image.
  • the deep learning unit detects that no C-shaped root canal exists in the panoramic 2D cross-sectional image, if any one of the first intermediate region thickness, the distal portion thickness, the second intermediate region thickness, and the intermediate wall thickness does not exist in the panoramic 2D cross-sectional image. judge it to be
  • the deep learning unit classifies the panoramic 2D cross-sectional images having the C-shaped root canal among the plurality of panoramic 2-dimensional cross-sectional images, and additionally classifies various root canals other than the C-shaped root canal to obtain the results shown in FIG. It is classified into various root canals as shown in the bar.
  • the deep learning unit transmits a plurality of CBCT 3D images having a C-shaped root canal to the measuring device.
  • the root canal is classified according to the shape of the root canal in the deep learning unit, if a plurality of panoramic two-dimensional cross-sectional images are displayed on the display unit (not shown), the classification may be performed with the user's naked eyes.
  • the first intermediate zone thickness which is the shortest distance between the inner surface of the cementum and the C-shaped root canal in a plurality of panoramic two-dimensional cross-sectional images
  • the distal zone thickness which is the shortest distance between the concave surface of the cementum and the C-shaped root canal, in multiple panoramic 2D cross-sectional images
  • multiple panoramic 2D cross-sectional images Step of measuring the second middle zone thickness, which is the shortest distance between the C-shaped root canal and the inner side of the cementum facing the inner side of the cementum
  • the concave cementum Measuring the middle wall thickness, which is the shortest distance between one side and the side facing the concave side of the cementum, and (d5) the thickness of the first middle region for a plurality of panoramic two-dimensional cross-sectional images with a deep learning unit, the dis
  • the length of each main part of the cross section at the position of 5 mm from the orifice of the root canal and the root apex is the first intermediate zone thickness shown in FIG. 3, the distal zone thickness, Second middle zone thickness and middle wall thickness.
  • the length of each main part may be automatically measured by a device for taking a panoramic image.
  • the thickness of the first middle region, the thickness of the distal part, the thickness of the second middle region, and the thickness of the middle wall of the plurality of panoramic 2D sectional images, the plurality of CBCT 3D images, and the plurality of panoramic 2D sectional images are transmitted to the deep learning unit. .
  • the calculator calculates the average crown length, the average root length, the average crown width, the average pulp cavity length, the average root canal length, and the average length of major parts.
  • [Table 1] shows the average value of the first intermediate region thickness L1, the average value of the distal region thickness L2, and the second intermediate region thickness L3 shown in FIG. 3 for each type of root canal shown in FIG. 2 calculated by the calculator device. ) and the average value of the intermediate wall thickness (L4).
  • Table 2 also shows the average value of crown length, average root length, average crown width, average pulp cavity length, and average root canal length calculated by the calculator.
  • the average value of the crown length calculated by the calculator is 5.96 mm
  • the average value of the root length is 13.65 mm
  • the average value of the crown width is 11.30
  • the average value of the pulp cavity length is 3.16
  • the root canal The average value of the length is 8.83.
  • the above calculation device transmits the calculated average value of crown length, average root length, average crown width, average pulp cavity length, average root canal length, and average length of major parts to the deep learning unit.
  • FIG. 4 (a) and (b) show the average value of the crown length among a plurality of CBCT 3D images by a deep learning unit in the method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention.
  • It is a diagram showing a 3-dimensional standard image that is approximately matched with the average value of the root length, the average value of the crown width, the average value of the pulp cavity length, and the average value of the root canal length.
  • step (f) the deep learning unit receives the calculated average value of crown lengths, average root lengths, average crown widths, average pulp cavity lengths, and average root canal lengths transmitted from the calculator.
  • the deep learning unit produces a CBCT 3D image that matches the average value of crown length, average root length, average crown width, average pulp cavity length, and average root canal length among multiple CBCT 3D images of C-shaped root canals. is selected as a 3D standard image.
  • the deep learning unit selects a CBCT 3D image having a C-shaped root canal that is approximately matched with each length listed in [Table 2] among a plurality of CBCT 3-D images having a C-shaped root canal, and then selects the selected C-shaped root canal.
  • CBCT 3D images are selected as 3D standard images, and the 3D standard images selected by the above process are shown in (a) and (b) of FIG. 4 .
  • 5 to 11 are diagrams illustrating a process of 3D modeling a C-shaped root canal and a tooth having a C-shaped root canal in a method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention.
  • 12 (a) and (b) show the crown length, root length, crown width, pulp cavity length, and root canal length in the method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention. It is a perspective view from one direction showing a C-shaped root canal modeled based on an unreflected 3D standard image and a tooth having a C-shaped root canal.
  • FIG. 13 (a) and (b) show the crown length, root length, crown width, pulp cavity length, and root canal length in the method of manufacturing a tooth having a standardized C-shaped root canal in Koreans according to an embodiment of the present invention. It is a perspective view from one direction showing a tooth having a C-shaped root canal and a C-shaped root canal modeled based on a 3D standard image that has been reflected and corrected.
  • step (h1) the 3D printer prints the first intermediate region thickness, distal portion thickness, second intermediate region thickness and Receiving the intermediate wall thickness
  • Step of modeling the 3D C-shaped root canal and 3D teeth and (h3) step of 3D printing the 3D printer modeled 3D C-shaped root canal and the tooth with the C-shaped root canal reflected according to the shape information of the modeled 3D tooth includes
  • step (h2) the 3D printer prints a 3D C image based on the 2D standard image, the thickness of the first intermediate region, the thickness of the distal portion, the thickness of the second intermediate region, and the thickness of the middle wall of the 2D standard image, and the 3D standard image.
  • a modeling unit (not shown) for 3D modeling the root canal and the 3D teeth may be further included.
  • step (h2) show a manufacturing process in which the 3D C-shaped root canal and the 3D teeth are modeled in step (h2).
  • a 3D standard image which is a tooth having a standardized crown, root, pulp cavity, and root canal, is selected (3D rendering).
  • FIG. 8 shows a view of the separated mandibular second molar (indicated in green) in the axial direction of the tooth
  • FIG. 10 shows a coronal view for the mandibular second molar (marked in green).
  • FIGS. 14(a) and (b) are perspective views from one direction illustrating modeling of dentin surrounding the C-shaped root canal shown in FIGS. 13(a) and (b).
  • FIG. 15 is a cross-sectional view showing a C-shaped root canal and a tooth obtained by transversely cutting the orifice of the root canal shown in FIGS. 12 (a) and (b).
  • 16 is a cross-sectional view showing a tooth and a C-shaped root canal obtained by transversely cutting a portion located 5 mm above the root apex of the tooth shown in FIGS. 12 (a) and (b).
  • FIG. 11 a 3D model for a tooth having a C-shaped root canal is created as shown in FIG. 11, and the above 3D model is shown in FIGS. ), shown in Figures 14 to 16.
  • FIG. 17 is a cross-sectional view showing a C-shaped root canal and a tooth obtained by transversely cutting the orifice of the root canal shown in FIGS. 13 (a) and (b).
  • 18 is a cross-sectional view showing a tooth and a C-shaped root canal obtained by transversely cutting a portion located 5 mm above the root apex of the tooth shown in FIGS. 13 (a) and (b).
  • the 3D model of the tooth with the modeled C-shaped root canal is determined by referring to the average value of crown length, average root length, average crown width, average pulp cavity length, and average root canal length described in [Table 2].
  • the corrected and corrected 3D models are shown in FIGS. 13 (a), (b), 17 and 18 .
  • the panoramic two-dimensional cross-sectional image shows the orifice of the root canal of the tooth (see FIGS. 12 (a) and (b) and 13 (a) and (b)) or the tooth in an upright state.
  • Fig. 15 to Fig. 15 as cross-sectional images of the part (apex 5 mm) located 5 mm above the root apex (see Fig. 12 (a), (b), Fig. 13 (a), (b)) in the transverse direction.
  • the CBCT three-dimensional image is an image of the appearance of teeth.
  • a panoramic 2D sectional image of a 3D standard image is a 2D standard image.
  • the 3D printer manufactures the tooth having the C-shaped root canal by 3D printing based on the 3D model of the tooth having the C-shaped root canal modeled through the above process.
  • the tooth having the manufactured C-shaped root canal is a standardized tooth in Koreans, and is a mandibular second molar.
  • the present invention manufactures teeth having standardized C-shaped root canals in Koreans and provides them to practitioners, so that practitioners practicing with the teeth having C-shaped root canals, which are the same sample, can be fairly evaluated.

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Public Health (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Veterinary Medicine (AREA)
  • Animal Behavior & Ethology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Dentistry (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Manufacturing & Machinery (AREA)
  • Biomedical Technology (AREA)
  • Primary Health Care (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Pathology (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Materials Engineering (AREA)
  • Dental Tools And Instruments Or Auxiliary Dental Instruments (AREA)
  • Optics & Photonics (AREA)

Abstract

La présente invention concerne un procédé de fabrication d'une dent ayant un canal en forme de C commun chez les Coréens, le procédé dans lequel : des dents ayant un canal en forme de C sont distinguées sur la base d'une pluralité d'images 2D en coupe transversale d'une pluralité de dents ; une dent correspondant à des valeurs moyennes de longueur de couronne, longueur de racine dentaire, largeur de couronne, longueur de chambre pulpaire et longueur de canal mesurées à partir d'images 3D en tomographie volumique à faisceau ouvert conique de la pluralité de dents est sélectionnée pour une image standard 3D normalisée parmi la pluralité de dents ; et une dent ayant un canal en forme de C est imprimée en 3D sur la base de l'image standard 3D et d'une image 2D en coupe transversale de l'image standard 3D.
PCT/KR2022/095052 2021-07-01 2022-03-11 Procédé de fabrication d'une dent ayant un canal en forme de c commun chez les coréens WO2023277674A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202280030282.2A CN117202870A (zh) 2021-07-01 2022-03-11 韩国人标准化c形根管牙齿的制备方法

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR10-2021-0086599 2021-07-01
KR1020210086599A KR102364905B1 (ko) 2021-07-01 2021-07-01 한국인에서 표준화된 c형 근관을 가지는 치아의 제조방법

Publications (1)

Publication Number Publication Date
WO2023277674A1 true WO2023277674A1 (fr) 2023-01-05

Family

ID=80475104

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2022/095052 WO2023277674A1 (fr) 2021-07-01 2022-03-11 Procédé de fabrication d'une dent ayant un canal en forme de c commun chez les coréens

Country Status (3)

Country Link
KR (1) KR102364905B1 (fr)
CN (1) CN117202870A (fr)
WO (1) WO2023277674A1 (fr)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011101447A2 (fr) * 2010-02-18 2011-08-25 Materialise Dental Nv Endodontie numérique 3d
WO2016003255A2 (fr) * 2014-07-04 2016-01-07 주식회사 인스바이오 Procédure d'essai orthodontique spécifique du patient, simulation à l'aide de celle-ci, et procédé de fabrication de dispositif orthodontique ou de dispositif de guidage pour procédure orthodontique
KR101641840B1 (ko) * 2015-12-22 2016-07-21 김태환 치아 모델링 방법
KR101872393B1 (ko) * 2017-09-06 2018-06-28 단국대학교 산학협력단 개인맞춤형 치아 모델링 방법
KR20190051161A (ko) * 2017-11-06 2019-05-15 주식회사 디디에스 아치라인에 기초한 보철물 디자인 방법 및 시스템

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2011101447A2 (fr) * 2010-02-18 2011-08-25 Materialise Dental Nv Endodontie numérique 3d
WO2016003255A2 (fr) * 2014-07-04 2016-01-07 주식회사 인스바이오 Procédure d'essai orthodontique spécifique du patient, simulation à l'aide de celle-ci, et procédé de fabrication de dispositif orthodontique ou de dispositif de guidage pour procédure orthodontique
KR101641840B1 (ko) * 2015-12-22 2016-07-21 김태환 치아 모델링 방법
KR101872393B1 (ko) * 2017-09-06 2018-06-28 단국대학교 산학협력단 개인맞춤형 치아 모델링 방법
KR20190051161A (ko) * 2017-11-06 2019-05-15 주식회사 디디에스 아치라인에 기초한 보철물 디자인 방법 및 시스템

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
YANG SUNG EUN, LEE TAE YEON, KIM KYUNG JAE: "Prevalence and Morphology of C-Shaped Canals: A CBCT Analysis in a Korean Population", HINDAWI, vol. 2021, 9152004, 30 May 2021 (2021-05-30), US , pages 1 - 8, XP093019231, ISSN: 0161-0457, DOI: 10.1155/2021/9152004 *

Also Published As

Publication number Publication date
CN117202870A (zh) 2023-12-08
KR102364905B1 (ko) 2022-02-21

Similar Documents

Publication Publication Date Title
WO2018080194A1 (fr) Système et procédé pour diagnostiquer une lésion de la cavité buccale
Sampaio et al. Variability of color matching with different digital photography techniques and a gray reference card
WO2021025355A1 (fr) Procédé, appareil et programme d'ordinateur pour programmer une opération chirurgicale d'implantation
Douglas et al. Intraoral determination of the tolerance of dentists for perceptibility and acceptability of shade mismatch
US11826176B2 (en) Dental feature identification for assessing oral health
US10028810B2 (en) Method of capturing data from a patient's dentition and system for performing such method
Karaman et al. Spectrophotometric evaluation of anterior maxillary tooth color distribution according to age and gender
Jorquera et al. A comparison of ceramic crown color difference between different shade selection methods: visual, digital camera, and smartphone
WO2020162730A1 (fr) Système dentaire ayant une ligne de base permettant de fusionner un modèle de dent numérique tridimensionnel avec un emplacement anatomique et une analyse de plan de corps humain
Moussaoui et al. Accuracy, repeatability and reproducibility of digital intraoral scanner for shade selection: current status of the literature
CA2483373C (fr) Systeme et methode de balayage pour teintes dentaires
JPWO2013018522A1 (ja) 歯周病の計測方法及び同計測装置。
Greţa et al. Color matching of full ceramic versus metal-ceramic crowns-a spectrophotometric study
WO2023277674A1 (fr) Procédé de fabrication d'une dent ayant un canal en forme de c commun chez les coréens
WO2023013805A1 (fr) Procédé pour déduire des paramètres de mesure de tête pour un diagnostic de correction de dent sur la base d'un apprentissage automatique à partir d'une image de cbct tridimensionnelle capturée à la position de tête naturelle
Huang et al. The accuracies of three intraoral scanners with regard to shade determination: An in vitro study
CN113850906B (zh) 一种智能口腔三维美学分析方法
Arifağaoğlu et al. Analysis of gingival display during static and dynamic smiles in a Turkish sample: A clinical study
WO2022131855A1 (fr) Procédé permettant de définir une couleur de dents personnalisable et impression en trois dimensions
KR102239741B1 (ko) 페이스보우용 스캔마커 및 이를 이용한 가상교합기로의 페이스보우 트랜스퍼 방법
WO2011007998A2 (fr) Procédé d'acquisition d'une image tridimensionnelle d'un ensemble de dents
Kasai et al. Dental plaque assessment lifelogging system using commercial camera for oral healthcare
WO2011078617A2 (fr) Procédé de conception de modèles dentaires
KR20210033270A (ko) 개구기 및 이의 사용방법
Ahmed et al. An analysis of maxillary anterior teeth crown width-height ratios: a photographic, three-dimensional, and standardized plaster model’s study

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22833727

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 202280030282.2

Country of ref document: CN

NENP Non-entry into the national phase

Ref country code: DE