WO2004089197A1 - 虫歯検出装置 - Google Patents
虫歯検出装置 Download PDFInfo
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- WO2004089197A1 WO2004089197A1 PCT/JP2004/004861 JP2004004861W WO2004089197A1 WO 2004089197 A1 WO2004089197 A1 WO 2004089197A1 JP 2004004861 W JP2004004861 W JP 2004004861W WO 2004089197 A1 WO2004089197 A1 WO 2004089197A1
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- caries
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- fluorescence
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0088—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for oral or dental tissue
Definitions
- the present invention relates to a technique for detecting caries, and more particularly to a technique for non-destructively detecting caries in an initial stage based on fluorescence information from teeth.
- BACKGROUND ART As a conventional technique for detecting tooth decay using light, there is an apparatus described in Technical Document 1 (Japanese Patent Application Laid-Open No. 2000-1989). Such an apparatus irradiates a tooth with red light (600 to 670 nm) as excitation light, and measures only the intensity of light received by a photodiode on fluorescence from the tooth.
- red light 600 to 670 nm
- the above-mentioned device detects caries by fluorescence derived from bacteria in the oral cavity, the caries are detected when caries progress and a hole is formed in the tooth, and bacteria are propagated therein. Is possible.
- the progress of the initial caries is not always correlated with the presence and quantity of bacteria.
- Technical Document 2 (Siookey.GK, et a). Dental caries diagnosis, Dent Clin North Am., 43; 665-77, 1999.) and Technical Document 3 (Shi X. Q, et al. Comparison of QLF and DIAGNOdent for quant ifi cat i on of smooth surface caries, Caries Res., 35 (1): 21-6, 200 1.) QLF (quantitative light-induced fluorescence) ) A method and an apparatus realizing this method have been developed.
- This device has 3 8 0 Soil Irradiation with ultraviolet rays of 70 nm detects only the intensity of the obtained fluorescence of at least 50 nm, and the fluorescence intensity from the carious part is weaker than that from the healthy tooth part.
- the detection of tooth decay is carried out by utilizing the phenomenon of decay. Since the detection of caries in this case is not affected by the presence of bacteria, the presence or absence of caries can be detected more accurately than the apparatus disclosed in the above-mentioned technical document 1. However, as shown in Comparative Example 2 below, the change in the actual rate of mineral decrease does not match the change in the fluorescence intensity at the above-mentioned wavelength of more than 50 nm, and it is difficult to measure the degree of progression of the initial caries.
- Technical Document 4 discloses that a tooth is irradiated with ultraviolet rays of 360 to 580 nm as a device for detecting caries.
- An apparatus for measuring fluorescence of more than 62 Omn from teeth is described. This device measures only the red fluorescence specific to the carious site, and does not detect even oral bacteria as in the above-mentioned technical document 1.
- the device described in the above-mentioned technical document 4 measures only red fluorescence with low fluorescence intensity, the fluorescence intensity is insufficient to detect the presence of caries and the There is a problem that the sensitivity is easily affected and the detection sensitivity is lowered.
- a caries detection device and a caries detection method capable of detecting the initial caries with high sensitivity and accuracy and detecting the progress of caries are desired. Disclosure of the invention The present inventors show that when a tooth is irradiated with ultraviolet light (i-line of a mercury lamp, 365 nm), strong fluorescence is generated around 400 to 500 nm (equivalent to blue color) in a healthy tooth. On the other hand, for caries, it was found that the fluorescence around 400 to 500 nm weakened, while the fluorescence around 600 to 800 nm (corresponding to red) was generated. .
- ultraviolet light i-line of a mercury lamp, 365 nm
- the present inventors have found that when the intensity of the irradiation light of ultraviolet light is reduced, the fluorescence equivalent to blue and red is reduced for caries, whereas the fluorescence equivalent to blue is reduced for healthy teeth. , But the fluorescence equivalent to red color was increased.
- the present invention has been made based on the above findings, and includes an ultraviolet light source, a fluorescent light receiving unit that receives fluorescent light from teeth by ultraviolet light emitted from the ultraviolet light source, and fluorescent data transmitted from the fluorescent light receiving unit.
- a caries detection apparatus comprising: a fluorescence data analysis unit for analyzing the data; and an analysis data display unit for displaying the analysis data analyzed by the fluorescence data analysis unit, wherein the fluorescence data analysis unit comprises: This is a caries detection device that analyzes fluorescence data based on fluorescence intensity in two or more wavelength bands in the visible light region.
- initial caries can be detected with high sensitivity, so that treatment by non-surgical treatment becomes easier without cutting the initial caries.
- the caries detection device according to the present invention can also measure the degree of caries progression. The progress of treatment of the initial caries can be observed, and the degree of recovery can be confirmed. Therefore, the progress of the caries and the recovery of the caries can be specifically shown to the patient. In addition, it is possible to gain an understanding of the importance of caries prevention treatment and the effects of treatment, and contribute to the maintenance and improvement of oral health.
- the tooth decay detection device not only enables accurate detection of tooth decay by measuring the tooth surface, but also makes it difficult to measure sites such as tooth gaps and the like (measurement at one point) and teeth. It is also possible to perform a comparison measurement (measurement at two places) of a healthy part and a decayed part of the subject. By performing analysis based on the fluorescence intensity in two or more wavelength bands in the region, it is possible to detect caries (especially initial caries) and the degree of progress thereof with high sensitivity and accuracy.
- the caries detection device selects a wavelength band showing different changes between the caries and the healthy teeth from the fluorescence data from the teeth that changes with the change in the intensity of the ultraviolet irradiation light. Analyzes can be performed based on multiple fluorescence intensities in the wavelength band, thereby enabling accurate and accurate detection of caries (especially early caries) and their progress.
- the “first wavelength band” has an arbitrary wavelength width selected from a wavelength band of 550 to 810 nm including not only a wavelength corresponding to red, but also a wavelength corresponding to green.
- “Second wavelength band” means a wavelength band having an arbitrary wavelength width selected from the wavelength band of 380 to 550 nm, including not only the wavelength equivalent to blue but also the wavelength equivalent to green. I do.
- “Third wavelength band” means any wavelength width selected from the wavelength range of 450-650 nm, including not only wavelengths equivalent to green, but also wavelengths equivalent to red and blue.
- the wavelength width of the first wavelength band is 0. I nm or more and 260 nm or less, preferably 10 nm or more and 260 O nm or less, and more preferably 5 O nm or more and 260 O nm or less. nm or less.
- the wavelength width of the second wavelength band is from 0.1 nm to 17 O nm, preferably from 1 O nm to 17 O nm, and more preferably from 5 O nm to 17 O nm. It is.
- the wavelength width of the third wavelength band is from 0.1 nm to 200 nm, preferably from 10 nm to 200 nm, more preferably from 5 nm to 200 nm. is there.
- the numerical range of the wavelengths included in the wavelength band may change depending on the performance of the filter. For example, if a primary color CCD that already has a bandpass filter embedded in the element is used, the first wavelength band (equivalent to red) has a center wavelength of 65500 ⁇ 50 and the second wavelength band (equivalent to blue). ) Has a center wavelength of 450 Sat 50 and the third wavelength band (equivalent to green) has a center wavelength of 550 ⁇ 50
- the wavelengths are not limited to these wavelengths, and the respective wavelength bands may include mutually overlapping wavelength ranges due to the characteristics of the filter.
- the center wavelength of the first wavelength band and the center wavelength of the third wavelength band are preferably separated by 10 nm or more, more preferably 20 nm or more.
- the center wavelength of the second wavelength band and the center wavelength of the third wavelength band are also preferably separated by 10 nm or more, more preferably by 20 nm or more.
- the center wavelength means the wavelength between the points where the relative transmittance at the two points in the band pass filter is 50%.
- FIG. 1 is a diagram showing a filter characteristic of a color CCD.
- FIG. 2 is a diagram showing a schematic configuration of the caries detection system of the present embodiment.
- FIG. 3 is a flowchart showing the caries detection processing (main processing and single site measurement processing) based on the caries detection program of the present embodiment.
- FIG. 4 is a flowchart showing a tooth decay detection process (single-unit measurement process) based on the tooth decay detection program of the present embodiment.
- FIG. 5 is a flowchart showing a tooth decay detection process (comparison measurement process, CD 2 ) based on the tooth decay detection program of the present embodiment.
- FIG. 6 is a flowchart showing a caries detection process (light intensity change measurement process) based on the caries detection program of the present embodiment.
- FIG. 7 is a flowchart showing a tooth decay detection process (light intensity change measurement process, CD 3 ) based on the tooth decay detection program of the present embodiment.
- FIG. 8 is a flowchart showing a caries detection process (light intensity change measurement process, CD 4 ) based on the caries detection program of the present embodiment.
- FIG. 9 shows a dental caries detection process (optical 5 is a flowchart showing intensity change measurement processing, CD5).
- FIG. 10 show the relationship between light intensity and luminance used in Examples 1 to 4.
- A is a graph showing a healthy tooth part (light)
- (b) is a graph showing a healthy tooth part (middle)
- (c) is a graph showing a healthy tooth part (heavy)
- (d) is a graph showing a healthy tooth part (heavy).
- (E) is a graph showing a moderate part of the caries
- (f) is a graph showing a severe part of the caries.
- the caries detection system (cavity detection device) 1 of the present embodiment receives the fluorescence from the teeth by the ultraviolet irradiation device (ultraviolet light source) 2 and the ultraviolet light emitted from the ultraviolet irradiation device 2.
- Fluorescent light receiving device (fluorescent light receiving unit) 3 a data analyzing unit 4 that analyzes data transmitted from the fluorescent light receiving device 3, and a display device that displays the analysis data analyzed by the data analyzing unit 4 (analysis 5)
- the display is equipped with the following.
- the data analyzer 4 is configured to divide the fluorescence data into two or more wavelength bands in the visible light region, and to perform analysis based on the fluorescence intensity in each wavelength band.
- the caries detection system 1 has a main control unit 10 (to be described later in detail) that controls the entire system.
- the main control unit 10 is connected with an ultraviolet irradiation device 2 and a fluorescent light receiving device 3 via an input / output control unit 11, and has a storage device 12, a display device 5, and an output device 1. 3 is connected.
- the ultraviolet irradiation device 2 irradiates ultraviolet light having a wavelength of about 300 to 400 nm, and may be configured so that the irradiation light intensity can be adjusted.
- Such an ultraviolet ray irradiation device 2 includes, for example, an ultraviolet LED, a mercury lamp, There are drumps.
- the ultraviolet LED is configured such that the intensity of the irradiation light of the ultraviolet light is adjusted. For example, the intensity of light is adjusted by controlling the amount of electricity by the input / output control unit 11 or by changing the number of lighted LEDs.
- irradiation light passes through the visible light cut filter to become ultraviolet light, and the intensity of the ultraviolet light can be adjusted.
- the intensity is adjusted by, for example, controlling the current value or using an ND filter.
- the type of ultraviolet light guided from the ultraviolet irradiation device 2 is no particular limitation on the type of ultraviolet light guided from the ultraviolet irradiation device 2 as long as it has a low ultraviolet absorptivity.
- the light can be passed through an optical fiber having a core made of quartz glass / polymer material. Irradiation directly to the teeth.
- the fluorescent light receiving device 3 absorbs the ultraviolet light by passing the ultraviolet light from the teeth through the ultraviolet cut filter 14 by irradiating the ultraviolet light, and only the light in the visible light region is transmitted through the optical fiber to the optical device. It is configured to receive light.
- the optical device only needs to be capable of taking in information including color information from fluorescence in the visible light region as fluorescence data and transmitting the information to the input / output control unit 11.
- the input / output control unit 11 is configured to AD convert information from the optical device.
- the above-described optical device includes, for example, a spectral luminance meter, a color CCD, a CMOS, or an optical sensor with a color filter of two or more colors.
- the spectral luminance meter separates the fluorescent light with a prism or the like, and obtains information for each color by capturing each color light (red light, green light, blue light, etc.) with an optical sensor. Is configured.
- the color CCD is configured to receive light by two-dimensionally arrayed elements having color filters (primary color RGB, complementary color CMY G) and obtain color information based on electric signals from each element. I have.
- optical sensors with two or more color filters It is configured to obtain information for each wavelength band based on only a specific wavelength of the fluorescence based on an electric signal from a light receiving element such as a photo diode or a silicon photo diode.
- the storage device may be any device that can store the analysis data analyzed by the data analysis unit 4, and includes, for example, a hard disk, a flexible disk, and an optical disk.
- the display device 5 may be any device that can display the analysis data and information necessary for selecting the analysis data (the number of measurement sites and the change in light intensity), such as a CRT display and a liquid crystal display.
- the output device 13 may be any device that can output the above analysis data, for example, a printer.
- the main control unit 10 includes a CPU 15, an internal memory 16, a fluorescence data analysis unit 4, and the like.
- the CPU 15 is configured to decode and execute commands from a control program such as an OS (Operating System) or a caries detection program.
- the internal memory 16 temporarily stores information from the input / output control unit 11 and analysis data from the storage device 12.
- the fluorescence data analysis unit 4 is configured as a means in which the dental caries detection program is executed by the CPU 15 so that the dental caries detection program and the eighty-one hardware resources (computer) such as the CPU 15 and the main memory cooperate. ing.
- the dental caries detection program is implemented by the CPU 15 as functions to select the number of measurement sites, change the light intensity, acquire data, select the wavelength band, calculate the degree of tooth decay, and determine the degree of tooth decay and progress. These functions make up the caries detection method described below.
- the caries detection method uses the same main processing (S1 to S3, S5), and the single site measurement method (S4, S11 to S19), Contrast measurement method (S21-S30), light intensity change measurement method (S31-S35, S 41 to S 48, S 51 to S 58, and S 61 to S 68).
- the single site measurement method is a method for detecting the presence or absence of caries at the caries site that is visible from the outside or a suspected caries, and particularly the caries site that is not visible such as tooth gaps, and the degree of progress of the caries. Measure at least one site that is considered to be a caries site at least once.
- the contrast measurement method is a method for detecting the presence or absence of caries in a caries part that is visible from the outside or a carious part (hereinafter simply referred to as a caries part) and the degree of progress of the caries. Measure each of the two sites independently.
- the light intensity change measurement method is a method of detecting the presence or absence of caries and the degree of progress of the caries regardless of whether it is visible from the outside. Is measured several times.
- the process branches to the “contrast measurement method” processing (branch B, described in detail below). If the number of measurement sites is “1”, the CPU 15 Based on the light intensity change selection function of the caries detection program, whether or not to change the light intensity of the light source is displayed (S3).
- the process branches to the “light intensity change measurement method” (branch C, described later in detail).
- the CPU 15 outputs Of the part measurement method ”.
- the measurer irradiates the target site using the ultraviolet irradiation device 2 and obtains information from the fluorescence from the teeth using the fluorescence receiving device 3.
- the CPU 15 converts the information from the optical device into a digital signal that has been AD-converted by the input / output control unit 11 based on the data capturing function of the caries detection program.
- the luminance signal (fluorescence intensity) R, B, and G for each of the first to third wavelength bands is stored in the internal memory 16 as a digital signal and stored in the internal memory 16 (S4).
- the first wavelength band (corresponding to red) preferably has a wavelength of 550 to 81 nm in the visible light region (380-810 nm), more preferably , 600-700 nm.
- the second wavelength band (corresponding to blue) preferably has a wavelength of 380 to 550 nm in the visible light region, and more preferably, has a wavelength of 400 to 500 nm.
- the third wavelength band (equivalent to green color) preferably has a wavelength of 450 to 65 O nm in the visible light region, more preferably 500 to 60 nm.
- the CPU 15 calculates the luminances R, B, and G based on the tooth decay degree calculation function of the tooth decay detection program, and calculates the values according to the following equation (1). Is calculated (S11).
- the degree of tooth decay CD and the degree of decay of luminance B and G are reduced at the caries site as the caries progress, and the degree of caries progression is expressed as a quantitative increasing function. It was done.
- the absolute intensity of the luminance B is larger than the luminance G, it is hardly affected by external light and the like and the noise is small, so that the caries degree CD can be calculated with higher accuracy.
- the caries degree CD 12 may be calculated according to the following equation (1.2) using the brightness G instead of the brightness B.
- the processing of S12 to S19 is processing executed by the CPU 15 based on the function of determining the presence / absence of caries and the degree of progress of the caries detection program.
- the degree of tooth decay CD i is compared with the lower threshold E.
- the “lower threshold” refers to healthy teeth and caries (especially initial caries, the same applies hereinafter). These values differ depending on conditions such as the intensity of the irradiated light and the irradiation area in the ultraviolet irradiation device 2, the optical path length in the fluorescent light receiving device 3, and the sensitivity of the light receiving element. Determined by rebirth.
- caries degree CD is smaller than the lower threshold Ei or equal to the lower threshold, a message indicating that the tooth is healthy (analysis data) is displayed, and the process returns to S1 of the main process (S18). , 19), caries degree CD! Is larger than the lower threshold value Ei, the fact that the tooth is a caries (analysis data) is displayed (S13).
- the caries degree CD is compared with the upper threshold value F i.
- the “upper threshold” is a value for discriminating between mild caries and severe caries, and is determined in the same manner as the lower threshold.
- Cavity degree C D! Is smaller than the upper threshold F i, the fact that the tooth is a mild initial caries (analysis data) is displayed (S 15), and the caries degree CD is larger than the upper threshold F or lower. If it is equal to the threshold value F i, a message indicating that it is a severe initial caries (analysis data) is displayed (S16), and the process returns to S1 of the main processing (S17).
- a measurer uses an ultraviolet irradiation device 2 to apply ultraviolet light to a carious site (a site suspected to be carious) and a healthy region in the vicinity thereof on the same tooth. Irradiation is performed, and first information is obtained from the fluorescence of the carious part and second information is obtained from the fluorescence of the healthy part using the fluorescence receiving device 3.
- the CPU 15 converts the first and second information from the optical device into AD conversion by the input / output control unit 11 based on the data acquisition function of the caries detection program.
- the captured digital signals are loaded into the internal memory, and the respective digital signals are decomposed for each of the first to third wavelength bands based on the wavelength band selection function of the dental caries detection program.
- B c, G c ) and the brightness (R n , B n , G n ) of the healthy part are stored in the internal memory 16 respectively. (S21).
- the CPU 15 calculates the luminance of the carious part (R c , B c , G c ) and the luminance of the healthy part (R n , B n , G n ) based on the caries degree calculation function of the caries detection program. Determination respective mean values, each mean value calculating a slave connection dental caries degree CD 2 into the following equation (2) (S 2 2) .
- CD 2 IR n -R c IXIB n -B c I ... Equation (2)
- This caries degree CD 2 is such that, as the caries progress, the luminance R c of the carious part becomes larger than the luminance R n of the healthy part, and the luminance B c and G c of the carious part are the luminance B n of the healthy part.
- G n is used to represent the degree of caries progression as a quantitative increasing function.
- the luminance G is not used from the viewpoint of improving the accuracy of the caries degree CDi.
- the luminance G with luminance B following of formula insects teeth degree CD 2 3 may be calculated according to (2.3).
- CD 22 IR n -R c IXIG n -G c I ... Equation (2.2)
- the processing of S23 to S30 is processing executed by the CPU 15 based on the decay detection function of the tooth decay detection program, and is substantially the same as the processing of S12 to S19 described above. is there.
- Dental caries degree CD 2 is lower threshold E 2 is less than or equal to the lower threshold E 2 returns to S 1 of main processor to display a message indicating a healthy tooth (S 2 9, If the degree of tooth decay CD 2 is larger than the lower threshold value E 2 (S 30), it is indicated that the tooth is a tooth decay (S 24).
- Caries degree CD There when the upper threshold F 2 smaller than mild initial insect ⁇ Displays that is (S 2 6), dental caries degree CD 2 is larger heard than the upper threshold F 2, or equal to the upper threshold F 2 is the effect that the severe initial insect ⁇ It is displayed (S27), and returns to S1 of the main processing (S28).
- step S3 when changing the light intensity of the light source, the CPU 15 executes the process of “light intensity change measurement method”.
- a measurer uses an ultraviolet irradiation device 2 to apply ultraviolet light of which light intensity Up U 2 (U!> U 2) is changed to the same site of the same tooth. each irradiated using fluorescent light receiving device 3, along with the fluorescence light intensity U i to obtain the first information to obtain a fluorescent or we second information light intensity U 2.
- the CPU 15 converts the first and second information from the optical device into digital data by the input / output control unit 11 based on the data acquisition function of the caries detection program.
- uptake in the internal memory 1 6 as a digital signal, the respective digital signal, the luminance of the light intensity U i of the first to every third wavelength band (ii R BG!), the luminance of the light intensity U 2 (R 2 , B 2 , G a) are stored in the internal memory 16 (S 31, S 32).
- the light intensity is not limited to two-it may be two or more.
- the CPU 15 determines the magnitude relationship between the brightness R i of the light intensity U i and the brightness R 2 of the light intensity U 2 , that is, (R! — Determine whether the sign of R 2 ) is “positive (+)” (S33), and if it is “positive (+)”, indicate that there is a possibility of caries (S 3 4) In the case of “negative (1)”, it indicates that the tooth is a healthy tooth and returns to S 1 of the main processing (S 35).
- the discrimination method is not limited to this, and a method may be used in which a correlation between a plurality of pieces of luminance data and the irradiation intensity is obtained, and when the correlation is “positive”, it is determined that the tooth decay is normal, and when the correlation is “negative”, the determination is normal. Good.
- Process after proceeding to S 3 4 are due to differences in processing of dental caries degree, processing of dental caries degree if CD 3 (branched S 4 1 ⁇ S 4 8), the process of dental caries degree CD 4 (branch D 2, S 5 1 to S 5 8), and the degree of tooth decay CD 5 (branch D 3 , S 61 to S 68).
- the CPU 15 uses the caries degree calculation function of the caries detection program to calculate the luminance (R B!, G!) And light intensity of the light intensity U i. obtains each value of luminance intensity U 2 (R 2, B 2 , G 2), the respective values for calculating the dental caries degree CD 3 according to the following formula (3) (S 4 1) .
- CD a (R i R 2 ) X (B! / B 2 )... Equation (3)
- This caries degree CD 3 shows that the brightness R 2 , B 2 , and G 2 are respectively smaller than the brightness B or G i for the carious region, while the brightness B 2 and G for the healthy site.
- 2 is a function of the degree of caries progression, utilizing the property that the luminance R 2 is greater than the luminance R, although the luminance is lower than the luminances B and G, respectively.
- the processing of S42 to S48 is a processing executed by the CPU 15 based on the decay tooth detection program of the cavities detection program. ⁇
- the processing of S23 to S30 is almost the same as the above processing of S23 to S30. The same is true.
- the dental caries degree CD 3 compared with the upper threshold F 3.
- Dental caries degree CD 3 is larger than the upper threshold F 3, or equal to if the upper threshold F 3, display to the effect that a healthy ⁇ returns to S 1 of main processing (S 4 7 , 4 8), the dental caries degree CD 3, in the case Ri small good upper threshold F 3, the process proceeds to S 4 3.
- the dental caries degree CD 3 compared with the lower threshold E 3. If the caries degree CD 3 is larger than the lower threshold E 3, it is indicated that the caries are mild initial caries (S 44), and the caries degree CD 3 is smaller than the lower threshold E 3 or lower. If equal to threshold E 3 displays the effect that the severe initial dental caries (S 4 5), the flow returns to S 1 of main processing (S 4 6). As shown in FIG. 8, in the process of dental caries degree CD 4, said dental caries degree C
- CD 4 (RJ / R 2 ) X (G! / G 2)... Equation (4)
- CD 5 (R! R 2) X ⁇ (B! / B 2) + (G! / G 2) ⁇ ... Equation (5)
- S 62 the way of setting the upper threshold F 5 is different.
- S 6 3 how to set the lower limit threshold E 5 are different.
- Other processes are the same as those described above, and a description thereof will not be repeated.
- the caries degree CD 6 may be calculated according to the following equation (6) in addition to the caries degrees CD 3 , CD 4 and CD 5 .
- the caries detection method Expressing the degree CD as a quantitative function based on the brightness R, B, and G over the high and low energy values, and comparing the caries degree CD with the lower threshold E and the upper threshold F, It is possible to accurately and accurately determine whether a tooth is a normal tooth, a mild tooth, or a severe tooth in a non-invasive early stage.
- the method for detecting caries is a measurement method using data obtained from one place, a measurement method comparing data obtained from two places, and a method for changing light intensity.
- These methods can be broadly classified into three types. By making it possible to use and combine them depending on the measurement site, the presence or absence of caries and the degree of caries progression can be detected efficiently and accurately.
- the caries that are visible or suspected to be carious are measured by comparing them with the healthy part to determine the caries. Presence or progress can be detected.
- This measuring method is advantageous in that it can detect the degree of progress of dental caries instantly based on only dental caries degree CD 2 that takes into account the comparison of dental caries sites and healthy sites.
- the degree of caries progression can be detected by measuring the same carious site at least twice while changing the light intensity of ultraviolet light.
- This measurement method can instantaneously determine the presence or absence of tooth decay simply by comparing the magnitude of the brightness R 2 with different light intensity, and can obtain the degree of caries progression according to the tooth depth by changing the light intensity. This is advantageous.
- the caries detection method according to the present invention can be realized by using a caries detection system 1 incorporating a caries detection program.
- the present invention is not limited to the above embodiment, and various changes can be made.
- the light intensity was changed to two types.
- the light intensity was changed to three or more types, and any two pieces of information (fluorescence data) were used.
- the degree of tooth decay CD 3 to CD 6 may be calculated.
- the ratio of brightness (R i R 2 ) of different light intensities was used, but instead, the gradient of brightness and the correlation can be used.
- the present inventors have determined the present invention by determining the correlation between Examples 1 to 4 and Comparative Examples 1 and 2 and the method described in Non-Patent Document 3, which can measure the degree of caries progress most accurately at present. The detection accuracy of the caries detection device according to the above was evaluated.
- the extracted tooth used in the experiment was an initial caries that did not lose its surface and could be recovered by non-surgical treatment. These extracted teeth were categorized by the eyes of an experienced dentist into three types: very early (mild), somewhat advanced (medium), and just before the hole was drilled (severe).
- the classified extracted teeth were first measured by the tooth decay detecting device according to the present invention. Thereafter, based on the method described in Non-Patent Document 3, the extracted tooth was sliced to prepare a sample for X-ray photography with a microphone opening.
- the accuracy of the tooth decay detecting device of the present invention was obtained by calculating the correlation coefficient between the measurement result of the tooth decay detecting device of the present invention and the mineral reduction rate obtained by the method shown in Non-Patent Document 3. Was verified.
- the mineral reduction rate indicates the degree of progress of the tooth decay, and according to Non-Patent Document 3, a micro X-ray photograph is used to analyze a portion from the surface to a depth of 300 microns by computer image analysis. This is the value obtained, and the mineral reduction rate at the healthy part is assumed to be 0%, and when all of the teeth are lost due to melting, the mineral reduction rate is assumed to be 100%.
- a caries detection system 1 used in the present embodiment and a caries detection method using the same will be described.
- a mercury lamp (manufactured by Nikon Corporation, type: CSHG 1) was used as the ultraviolet irradiation device 2.
- This mercury lamp is equipped with a band-pass filter (Nikon Corporation, model: E365 / 10) that transmits ultraviolet light with a wavelength of 400 nm or less so that i-line can be emitted efficiently. did.
- the mercury lamp is equipped with an ND filter (manufactured by Nikon Corporation, type: ND4) to reduce the light intensity.
- Ultraviolet light from a mercury lamp was directly applied to the teeth via an optical fiber (made of quartz).
- a color CCD camera manufactured by Volaroid Co., type:? DMC Ci
- a UV cut filter manufactured by Nikon, model: BA400
- the data was subjected to AZD conversion to obtain luminances R, B, and G of 16 bits each.
- the measurement in which the measurement site of the tooth and the light intensities U i and U 2 are changed will be described.
- the light part L, the moderate part M, and the severe part H were measured, and the healthy parts (light) L ', Three healthy sites (medium) M 'and healthy sites (heavy) H' were measured.
- H 2 , e indicates the measurement site of the severe portion of the tooth decay, which was irradiated with ultraviolet light of light intensity U 2 , respectively.
- Example 1 the measurement sites L i, M! Of the light intensity U i were measured in accordance with the “measurement method using data obtained from one place” in the caries detection method described in the above embodiment. , H! , L, M, H! , The caries degree C D was calculated for each of them, and the respective correlation coefficients between the caries degree C Di and the mineral reduction rate were obtained.
- Comparative Example 1 In Comparative Example 1, according to the technique described in Patent Document 2, the intensity of the ultraviolet light is set to U ⁇ , and the measurement site L is M1, HpL! ', M! ', H! '.
- a color CCD is equipped with a cut filter that transmits light of at least 600 nm, so that the color CCD can capture images with only red fluorescence. This image was converted to a gray image, and the red luminance (16 bits) was obtained for each measurement site. The respective correlation coefficients between the red luminance and the mineral reduction rate were determined.
- Table 4 shows the measurement results of Example 1 and Comparative Example 1. Table 4
- Example 1 As shown in Table 4, a high rate of mineral loss indicates that caries has progressed.
- the correlation coefficient between the degree of tooth decay CDi and the rate of mineral decrease in Example 1 according to the present invention was high, and it was demonstrated that the degree of tooth decay CDi can objectively quantify the degree of caries progression.
- the luminance of red In order to accurately detect the degree of caries progression, the luminance of red must also increase according to the value of the mineral reduction rate. However, in the case of Comparative Example 1, the magnitude relationship of the red luminance was reversed between the moderate site M i and the severe site H i of the caries, which did not necessarily match the degree of caries progression. Therefore, it is difficult to detect the degree of caries progression.
- Example 2 according to the “contrast measurement method” of the caries detection method described in the above embodiment, the measurement site of light intensity U i (L or L ′) (M or M), (H For each of H x ';), the caries degree CD 2 was calculated, and the correlation coefficient between the caries degree CD 2 and the mineral reduction rate was determined.
- Comparative Example 2 according to the conventional technique described in Patent Document 1, the intensity of the ultraviolet light is set to U, and the measurement sites (L i L), (M !, M! '), And (H !!!) are measured. did.
- a cut filter that transmits light of at least 520 nm is attached to the color CCD so that the color CCD can capture an image of a single color light of 520 nm. This image was converted to a gray image, and the luminance (16 bit) of the carious part and the luminance (16 bit) of the healthy part were determined for each measurement part, and the ratio was calculated as relative luminance. The correlation coefficient between the relative luminance and the mineral reduction rate was determined. Table 5 shows the measurement results of Example 2 and Comparative Example 2.
- Table 6 shows that the sign of the luminance change (R i-R s) is an objective criterion for the presence or absence of caries. Further, from Table 7, a high correlation coefficient between dental caries degree CD 3 CD 4 and minerals reduction rate, dental caries degree CD 3 CD 4, it is demonstrated with which can be shown in objective quantitative value for the degree of progress of dental caries Was.
- Example 4 similarly to Example 3 described above, the degree of tooth decay CD 5 CD 6 was calculated, and the respective correlation coefficients between the degree of tooth decay CD 5 CD 6 and the mineral reduction rate were determined.
- the above-mentioned decay rate CD 3 CD 4 is for calculation of either luminance or BG, whereas the decay rate CD 5 CD 6 is for calculation of luminance RBG.
- Table 8 shows the measurement results of Example 4.
- the dental caries detection apparatus and the dental caries detection method which can detect an initial caries with high sensitivity and accuracy, and can also detect the progress degree can be obtained.
- the present invention can be used for a technique for detecting the presence or absence of initial caries and the degree of progress of initial caries in the technical field of non-discarded detection of initial caries.
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP20040725529 EP1614378A4 (en) | 2003-04-03 | 2004-04-02 | DEVICE FOR DETECTING CARROT TONGES |
US10/551,842 US7955076B2 (en) | 2003-04-03 | 2004-04-02 | Carious tooth detection device |
Applications Claiming Priority (2)
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JP2003099917 | 2003-04-03 | ||
JP2003-99917 | 2003-04-03 |
Publications (1)
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WO2004089197A1 true WO2004089197A1 (ja) | 2004-10-21 |
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PCT/JP2004/004861 WO2004089197A1 (ja) | 2003-04-03 | 2004-04-02 | 虫歯検出装置 |
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US (1) | US7955076B2 (ja) |
EP (1) | EP1614378A4 (ja) |
WO (1) | WO2004089197A1 (ja) |
Cited By (2)
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US7270543B2 (en) | 2004-06-29 | 2007-09-18 | Therametric Technologies, Inc. | Handpiece for caries detection |
US8360771B2 (en) | 2006-12-28 | 2013-01-29 | Therametric Technologies, Inc. | Handpiece for detection of dental demineralization |
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DE102008017787A1 (de) | 2007-04-10 | 2008-10-16 | Denso Corp., Kariya-shi | Fahrzeuganzeigevorrichtung |
US8368823B2 (en) * | 2007-09-18 | 2013-02-05 | Denso Corporation | On-vehicle display apparatus |
US20100010482A1 (en) * | 2008-06-23 | 2010-01-14 | Ceramoptec Industries Inc. | Enhanced Photodynamic Therapy Treatment and Instrument |
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US8265342B2 (en) * | 2009-04-23 | 2012-09-11 | International Business Machines Corporation | Real-time annotation of images in a human assistive environment |
JP5796408B2 (ja) * | 2011-08-24 | 2015-10-21 | オムロンヘルスケア株式会社 | 口腔ケア装置 |
WO2013109978A1 (en) * | 2012-01-20 | 2013-07-25 | University Of Washington Through Its Center For Commercialization | Dental demineralization detection, methods and systems |
US10010250B2 (en) * | 2012-12-19 | 2018-07-03 | Koninklijke Philips N.V. | Dental apparatus and method of utilizing the same |
US10080484B2 (en) | 2014-01-31 | 2018-09-25 | University Of Washington | Multispectral wide-field endoscopic imaging of fluorescence |
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WO2018081637A1 (en) * | 2016-10-28 | 2018-05-03 | University Of Washington | System and method for ranking bacterial activity leading to tooth and gum disease |
EP3641626A1 (en) | 2017-06-21 | 2020-04-29 | Koninklijke Philips N.V. | Method and apparatus for early caries detection |
BR112021018007A2 (pt) * | 2019-03-11 | 2021-11-16 | 3Shape As | Sistema e método para gerar modelos dentários tridimensionais digitais |
US11653838B2 (en) * | 2020-03-11 | 2023-05-23 | Alireza Moheb | System and method for classification of dental health based on digital imagery |
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JP3868050B2 (ja) | 1997-02-06 | 2007-01-17 | オリンパス株式会社 | 内視鏡 |
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DE10133451B4 (de) * | 2001-07-10 | 2012-01-26 | Ferton Holding S.A. | Vorrichtung zum Erkennen von Karies, Plaque, Konkrementen oder bakteriellem Befall an Zähnen |
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- 2004-04-02 US US10/551,842 patent/US7955076B2/en not_active Expired - Fee Related
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Publication number | Priority date | Publication date | Assignee | Title |
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US7270543B2 (en) | 2004-06-29 | 2007-09-18 | Therametric Technologies, Inc. | Handpiece for caries detection |
US8360771B2 (en) | 2006-12-28 | 2013-01-29 | Therametric Technologies, Inc. | Handpiece for detection of dental demineralization |
Also Published As
Publication number | Publication date |
---|---|
EP1614378A4 (en) | 2009-07-29 |
EP1614378A1 (en) | 2006-01-11 |
US7955076B2 (en) | 2011-06-07 |
US20070105069A1 (en) | 2007-05-10 |
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