CN111631681A - Diagnosis system for detecting oral cancer based on infrared Fourier spectrum - Google Patents
Diagnosis system for detecting oral cancer based on infrared Fourier spectrum Download PDFInfo
- Publication number
- CN111631681A CN111631681A CN202010317775.7A CN202010317775A CN111631681A CN 111631681 A CN111631681 A CN 111631681A CN 202010317775 A CN202010317775 A CN 202010317775A CN 111631681 A CN111631681 A CN 111631681A
- Authority
- CN
- China
- Prior art keywords
- infrared
- oral cancer
- spectrum
- reflector
- detected
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
- 208000003445 Mouth Neoplasms Diseases 0.000 title claims abstract description 64
- 208000012987 lip and oral cavity carcinoma Diseases 0.000 title claims abstract description 64
- 238000001228 spectrum Methods 0.000 title claims abstract description 38
- 238000003745 diagnosis Methods 0.000 title claims abstract description 17
- 238000002329 infrared spectrum Methods 0.000 claims abstract description 39
- 238000010521 absorption reaction Methods 0.000 claims abstract description 35
- 238000004458 analytical method Methods 0.000 claims abstract description 15
- 238000000034 method Methods 0.000 claims abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 9
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 9
- 210000000214 mouth Anatomy 0.000 claims description 9
- 201000010099 disease Diseases 0.000 claims description 6
- 239000007789 gas Substances 0.000 claims description 4
- 238000004611 spectroscopical analysis Methods 0.000 claims 1
- 238000001514 detection method Methods 0.000 abstract description 32
- 238000005516 engineering process Methods 0.000 abstract description 8
- 230000003902 lesion Effects 0.000 abstract description 6
- 238000005259 measurement Methods 0.000 abstract description 6
- 239000000126 substance Substances 0.000 abstract description 6
- 239000003153 chemical reaction reagent Substances 0.000 abstract description 3
- 102000039446 nucleic acids Human genes 0.000 description 8
- 108020004707 nucleic acids Proteins 0.000 description 8
- 150000007523 nucleic acids Chemical class 0.000 description 8
- 150000001413 amino acids Chemical class 0.000 description 6
- 102000004169 proteins and genes Human genes 0.000 description 6
- 108090000623 proteins and genes Proteins 0.000 description 6
- 230000003595 spectral effect Effects 0.000 description 6
- 206010028980 Neoplasm Diseases 0.000 description 4
- 201000011510 cancer Diseases 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 238000011897 real-time detection Methods 0.000 description 3
- 238000011160 research Methods 0.000 description 3
- 230000010261 cell growth Effects 0.000 description 2
- 239000000306 component Substances 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 239000003814 drug Substances 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000002559 palpation Methods 0.000 description 2
- 238000004451 qualitative analysis Methods 0.000 description 2
- 230000004083 survival effect Effects 0.000 description 2
- 229910052581 Si3N4 Inorganic materials 0.000 description 1
- 150000001720 carbohydrates Chemical class 0.000 description 1
- 230000032823 cell division Effects 0.000 description 1
- 239000008358 core component Substances 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000013499 data model Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 238000013399 early diagnosis Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000000835 fiber Substances 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000004907 flux Effects 0.000 description 1
- 230000012010 growth Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 150000002484 inorganic compounds Chemical class 0.000 description 1
- 229910010272 inorganic material Inorganic materials 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 150000002632 lipids Chemical class 0.000 description 1
- 230000036210 malignancy Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 230000004060 metabolic process Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 150000002894 organic compounds Chemical class 0.000 description 1
- 231100000915 pathological change Toxicity 0.000 description 1
- 230000036285 pathological change Effects 0.000 description 1
- 230000001575 pathological effect Effects 0.000 description 1
- 238000004445 quantitative analysis Methods 0.000 description 1
- 238000002271 resection Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- HQVNEWCFYHHQES-UHFFFAOYSA-N silicon nitride Chemical compound N12[Si]34N5[Si]62N3[Si]51N64 HQVNEWCFYHHQES-UHFFFAOYSA-N 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000010183 spectrum analysis Methods 0.000 description 1
- 238000001845 vibrational spectrum Methods 0.000 description 1
Images
Classifications
-
- 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
- A61B5/0075—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy
-
- 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
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Veterinary Medicine (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Engineering & Computer Science (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Dentistry (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a diagnosis system for detecting oral cancer based on infrared Fourier spectrum, which comprises: the infrared spectrum acquisition system acquires infrared spectrum information of the oral cancer tissues; the establishing module establishes an oral cancer related infrared characteristic spectrum information base model based on a main characteristic infrared spectrum absorption peak method; the acquisition and analysis module acquires the infrared Fourier spectrum information of the to-be-detected region of the oral patient to be detected on line, compares the real-time processing infrared result with the established oral cancer related infrared characteristic spectrum information base model, and outputs the oral cancer diagnosis result. The infrared characteristic spectrum information base model related to the oral cancer lesion area is established based on the Fourier infrared spectrum information technology, so that the oral cancer lesion condition is detected quickly, online and non-invasively in real time, sample pretreatment is not needed, and the operation is simple; no chemical analysis and detection reagent is needed, and the detection cost is low; contactless measurement and tissue acquisition, painless examination; the infrared spectrum modeling is accurate and reliable, and the diagnosis accuracy is high.
Description
Technical Field
The invention relates to the technical field of infrared optical measurement technology and medical detection, in particular to a diagnosis system for detecting oral cancer based on infrared Fourier spectrum, and the system provides a rapid, noninvasive and accurate oral cancer diagnosis means.
Background
The results of the national Wei Ji Commission fourth national oral health epidemiological survey show that oral cancer becomes a new disease with high mortality. In recent years, the incidence rate of the disease is on the rise, and the life of the patient is seriously threatened. Oral cancer is one of the most common oral and maxillofacial malignancies in the world. Despite the increase in treatment options for oral cancer, five-year survival rates of intermediate and advanced oral cancer have remained around the 50% level over the last 30 years. Therefore, the method has important practical significance for improving the detection rate of early oral cancer. The timeliness and the accuracy of the early detection of the oral cancer have obvious influence on the treatment effect and the survival rate of patients, and the research on the detection method of the oral cancer has very important significance. The detection mode in the oral cancer histology mainly comprises palpation and pathological section. The diagnosis mode of palpation is highly dependent on the experience of doctors, can not accurately locate the cancer tissue area, is often used for early diagnosis of oral cancer, and does not meet the requirement of fast and accurate location of the cancer tissue in the operation. The intraoperative frozen section is a means for determining whether cancer tissues are completely resected or not in the existing oral cancer resection operation, and due to limited material taking, the section tissues are not dyed, so that the detection accuracy is low. Meanwhile, the frozen section examination is an invasive method, which can increase the pain of the patient. Therefore, it is a development trend to research a safe, simple, fast and noninvasive method for early detection of oral cancer.
With the development of the science and technology of the photoelectric detection technology, the application of the spectral analysis technology in the medical field is more and more extensive. The infrared Fourier spectrum detection technology has the advantages that the infrared Fourier spectrum detection technology can be applied to conventional off-line detection and analysis, and can also realize on-line and rapid detection and analysis of a flowing object to be detected and a solid object to be detected. The infrared spectrum is mainly used for researching a vibration spectrum between atoms connected by chemical bonds in molecules and a molecular rotation spectrum, has remarkable characteristics for qualitative analysis of organic and inorganic compounds, and can be used for not only carrying out qualitative analysis on a substance to be detected but also carrying out accurate quantitative analysis and research by infrared Fourier spectrum detection. The method is commonly used for identifying and analyzing chemical components, is widely applied to detection aspects of medicines, foods, biomedical treatment and the like, and has the advantages of high spectral resolution, multiple channels, high luminous flux, wide spectrum range, high scanning speed and the like. As a high-precision spectrometer, the method is increasingly applied to industries such as medicine, food, medical treatment, safety production and the like.
Nucleic acid plays an important role in biological metabolism, is closely related to cell division and cell growth, and increases the content of nucleic acid when the cell growth is vigorous. The histopathology of oral cancer is represented by changes in the content of molecules such as protein, lipid, nucleic acid, amino acid, carbohydrate and the like, wherein the content of protein, nucleic acid and amino acid is particularly prominent. Therefore, the rapid growth and division of the oral cancer tissue can lead to the rapid increase of the contents of protein, nucleic acid and amino acid in the tissue, so that the absorption intensity of the infrared spectrum corresponding to O-H, C-H, N-H and the like in the infrared spectrum is higher than that of a normal tissue, the infrared spectrum information is rapidly obtained by utilizing infrared Fourier spectrum detection, and the detection result is rapidly and accurately given.
Disclosure of Invention
The invention provides a diagnosis system for detecting oral cancer based on infrared Fourier spectrum, which aims to realize reliable, quick, noninvasive and accurate oral cancer diagnosis, does not need to perform tissue surgical excision, does not need to preprocess tissues, has high detection response speed, and can realize online noninvasive real-time detection. Provides a new solution for the detection of oral cancer, and can output the oral cancer detection result in real time on line, simply, conveniently, non-invasively and accurately.
The invention solves the technical problems through the following technical scheme:
the invention provides a diagnosis system for detecting oral cancer based on infrared Fourier spectrum, which is characterized by comprising an infrared spectrum acquisition system, an establishing module and an acquisition and analysis module;
the infrared spectrum acquisition system is used for acquiring infrared spectrum information of the oral cancer tissues;
the establishing module is used for establishing an oral cancer related infrared characteristic spectrum information base model based on a main characteristic infrared spectrum absorption peak method;
the acquisition and analysis module is used for acquiring the infrared Fourier spectrum information of the to-be-detected region of the oral patient to be detected on line, comparing the real-time processing infrared result with the established oral cancer related infrared characteristic spectrum information base model and outputting the oral cancer diagnosis result.
Preferably, the infrared spectrum collecting system sequentially comprises a light source, a first reflector, a michelson interferometer, a second reflector, a collimating mirror, a diaphragm, a third reflector, a fourth reflector, an oral cavity to-be-detected region, a fifth reflector and an infrared detector, wherein light emitted by the light source is transmitted by the first reflector and then becomes first horizontal light, the michelson interferometer performs interference modulation on the horizontal light, the light after the interference modulation is reflected by the second reflector and then emits second horizontal light, the second horizontal light sequentially passes through the collimating mirror and the diaphragm and then emits first vertical light after being reflected by the third reflector, the first vertical light emits third horizontal light after being reflected by the fourth reflector, and the third horizontal light emits second vertical light to the infrared detector after passing through the oral cavity to-be-detected region and after being reflected by the fifth reflector.
Preferably, the establishing module is used for selecting 7 different main characteristic absorption peak positions with obviously changed absorption intensity as main basis for judging various gases, namely the absorption peak position of C-H bond, aiming at the change of the infrared spectrum absorption peak positions corresponding to O-H, C-H and N-H in the infrared spectrum caused by the content concentration increase of proteins, nucleic acids and amino acids related to oral cancer: 2788cm-1, 2895cm-1, 2980cm-1 and 3320 cm-1; absorption peak position of O-H bond: 3180cm-1 and 3670 cm-1; absorption peak position of N-H bond: 3280 cm-1.
Preferably, the acquisition and analysis module is used for acquiring online infrared Fourier spectrum information of the to-be-detected area of the oral patient to be detected, comparing the real-time infrared Fourier processing result with the established oral cancer related infrared characteristic spectrum information base model, and giving oral cancer disease information of the to-be-detected patient by adopting a partial least square algorithm, including whether the oral cancer is suffered and the disease severity.
On the basis of the common knowledge in the field, the above preferred conditions can be combined randomly to obtain the preferred embodiments of the invention.
The positive progress effects of the invention are as follows:
the invention establishes the infrared characteristic spectrum information base model related to the oral cancer lesion area based on the Fourier infrared spectrum information technology, thereby realizing the fast, online and noninvasive real-time detection of the oral cancer lesion condition, and the invention has the advantages that: sample pretreatment is not needed, and the operation is simple; no chemical analysis and detection reagent is needed, and the detection cost is low; contactless measurement and tissue acquisition, painless examination; the infrared spectrum modeling is accurate and reliable, and the diagnosis accuracy is high.
Drawings
Fig. 1 is a diagram of a system for acquiring spectral information of a lesion region of oral cancer based on Fourier infrared spectrum detection.
Fig. 2 is a drawing of the introduction of infrared detection fibers in the to-be-detected region of the oral cavity.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
The embodiment provides a diagnosis system for detecting oral cancer based on infrared Fourier spectrum, which comprises an infrared spectrum acquisition system, an establishing module and an acquisition and analysis module.
The infrared spectrum acquisition system is used for acquiring infrared spectrum information of the oral cavity cancerous tissue.
As shown in fig. 1, the infrared spectrum collecting system sequentially comprises a light source 1, a first reflector 2, a michelson interferometer 3, a second reflector 4, a collimator 5, a diaphragm 6, a third reflector 7, a fourth reflector 8, an oral cavity area to be detected 9, a fifth reflector 10 and an infrared detector 11, the light emitted by the light source 1 is transmitted by the first reflector 2 and then changed into first horizontal light, the Michelson interferometer 3 performs interference modulation on the horizontal light, the light after interference modulation is reflected by the second reflector 4 and then emits second horizontal light, the second horizontal light sequentially passes through the collimating mirror 5 and the diaphragm 6 and is reflected by the third reflector 7 to emit first vertical light, the first vertical light is reflected by the fourth reflector 8 to emit third horizontal light, and the third horizontal light is reflected by the oral cavity to-be-detected region 9 and the fifth reflector 10 to emit second vertical light to the infrared detector 11.
The main function of the light source 1 is to provide a basis for active infrared detection, the shaping of a system light path is mainly realized by a reflector, a collimator and a diaphragm, the Michelson interferometer 3 is a core component of Fourier, the interference modulation system and multi-wave number simultaneous interference integration of an infrared light path are realized by the main function, the infrared measurement of interference infrared signals is realized by the main function of the infrared detector 11, and the detection range is 4200--1Resolution of 1cm-1。
The light source 1 adopts a silicon nitride rod to emit light by a wide-range infrared spectrum, and the spectral range is 0.8-10 microns; the collimating mirror 5 adopts an aluminized reflecting film, the Michelson interferometer 3 adopts a moving mirror, a fixed mirror and a beam splitter mode, and the measurement range of the whole system is as follows: 4200-600cm-1Spectral resolution of 1cm-1. The infrared introduction of the oral cavity detection area adopts the optical fiber introduction mode shown in FIG. 2, and the operation and the detection area are flexible.
The establishing module is used for establishing an oral cancer related infrared characteristic spectrum information base model based on a main characteristic infrared spectrum absorption peak method.
Wherein, the establishing module is used for selecting 7 different main characteristic absorption peak positions with obviously changed absorption intensity as main basis for judging various gases and the absorption peak position of C-H key aiming at the change of the infrared spectrum absorption peak positions corresponding to O-H, C-H and N-H in the infrared spectrum caused by the content concentration increase of protein, nucleic acid and amino acid related to oral cancer: 2788cm-1、2895cm-1、2980cm-1And 3320cm-1(ii) a Absorption peak position of O-H bond: 3180cm-1And 3670cm-1(ii) a Absorption peak position of N-H bond: 3280cm-1(ii) a The main characteristic absorption peak method has the advantages that the components of the detected region can be quickly and effectively obtained, and the oral cancer related infrared characteristic spectrum information base model can be simply, reliably and accurately established.
The acquisition and analysis module is used for acquiring the infrared Fourier spectrum information of the to-be-detected region of the oral patient to be detected on line, comparing the real-time processing infrared result with the established oral cancer related infrared characteristic spectrum information base model and outputting the oral cancer diagnosis result.
The acquisition and analysis module is used for acquiring online infrared Fourier spectral information of an area to be detected of an oral patient to be detected, comparing a real-time infrared Fourier processing result with an established oral cancer related infrared characteristic spectral information base model, and providing oral cancer disease information of the patient to be detected by adopting a partial least square algorithm, including whether the oral cancer is suffered and the disease severity and the like.
Adopting a main characteristic infrared spectrum absorption peak method to establish an oral cancer spectrum information model, aiming at the change of infrared spectrum absorption peak positions corresponding to O-H, C-H and N-H in the infrared spectrum caused by the increase of the content concentration of protein, nucleic acid and amino acid related to oral cancer, selecting 7 different main characteristic absorption peak positions with obviously changed absorption intensity as the main basis for judging various gases, namely the absorption peak position of C-H key: 2788cm-1、2895cm-1、2980cm-1And 3320cm-1(ii) a Absorption peak position of O-H bond: 3180cm-1And 3670cm-1(ii) a Absorption peak position of N-H bond: 3280cm-1. The establishment of the data model base is based on the analysis, extraction and establishment of infrared spectrum data of 90 oral cancer patients with different degrees, the model base calibration is carried out according to the qualitative absorption peak position and the quantitative absorption intensity, the infrared spectrum data scanning detection is carried out for 10 times in each lesion region of the patient, and then the weighted average denoising treatment is carried out to obtain a more accurate infrared spectrum base model. The method comprises the steps of carrying out on-line infrared Fourier spectrum information acquisition on a region to be seen of an oral patient to be examined, carrying out normalization processing on the area of an infrared Fourier spectrum, and eliminating the problem that the angle of the surface of a tissue and the individual patient are influenced by normalization processingThe difference results in a difference in spectral intensity. The spectrum is smoothed by adopting a Savitzky-Golay algorithm, the baseline correction is carried out by adopting a Vancouver algorithm, and the shape and the width of a signal can be ensured to be unchanged while noise is filtered by a filtering method based on local polynomial least square fitting in a time domain. And comparing the real-time infrared Fourier processing result with the established oral cancer related infrared characteristic spectrum information base model, giving information on whether the patient has oral cancer or not from the comparison information of the absorption peak positions based on a partial least square algorithm, and giving the severity of the disease and the like by combining the absorption intensity of the absorption peak positions. Therefore, the method can realize rapid online noninvasive real-time detection of the oral cancer pathological changes, and has the advantages that: sample pretreatment is not needed, and the operation is simple; no chemical analysis and detection reagent is needed, and the detection cost is low; contactless measurement and tissue acquisition, painless examination; the infrared spectrum modeling is accurate and reliable, and the diagnosis accuracy is high.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.
Claims (4)
1. A diagnostic system for detecting oral cancer based on infrared Fourier spectrum is characterized by comprising an infrared spectrum acquisition system, an establishing module and an acquisition and analysis module;
the infrared spectrum acquisition system is used for acquiring infrared spectrum information of the oral cancer tissues;
the establishing module is used for establishing an oral cancer related infrared characteristic spectrum information base model based on a main characteristic infrared spectrum absorption peak method;
the acquisition and analysis module is used for acquiring the infrared Fourier spectrum information of the to-be-detected region of the oral patient to be detected on line, comparing the real-time processing infrared result with the established oral cancer related infrared characteristic spectrum information base model and outputting the oral cancer diagnosis result.
2. The system for diagnosing oral cancer based on infrared Fourier spectroscopy of claim 1, it is characterized in that the infrared spectrum acquisition system sequentially comprises a light source, a first reflector, a Michelson interferometer, a second reflector, a collimating mirror, a diaphragm, a third reflector, a fourth reflector, an oral cavity area to be detected, a fifth reflector and an infrared detector, the light emitted by the light source is converted into first horizontal light after being emitted by the first reflector, the Michelson interferometer performs interference modulation on the horizontal light, the light after the interference modulation emits second horizontal light after being reflected by the second reflector, the second horizontal light sequentially passes through the collimating lens and the diaphragm and is reflected by the third reflector to emit first vertical light, the first vertical light is reflected by a fourth reflector to emit third horizontal light, and the third horizontal light is reflected by a fifth reflector to emit second vertical light to the infrared detector after passing through the oral cavity to be detected and the area to be detected.
3. The system as claimed in claim 1, wherein the establishing module is used for selecting 7 different main characteristic absorption peak positions with significantly changed absorption intensity as the main basis for determining various gases, the absorption peak positions of C-H bond: 2788cm-1, 2895cm-1, 2980cm-1 and 3320 cm-1; absorption peak position of O-H bond: 3180cm-1 and 3670 cm-1; absorption peak position of N-H bond: 3280 cm-1.
4. The system as claimed in claim 1, wherein the collecting and analyzing module is used for collecting the information of the infrared fourier spectrum on line in the region to be detected of the oral patient to be detected, comparing the real-time infrared fourier processing result with the model of the infrared characteristic spectrum information base related to the oral cancer, and using the partial least square algorithm to give the oral cancer disease information of the patient to be detected, including whether the oral cancer is present and the severity of the disease.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010317775.7A CN111631681A (en) | 2020-04-21 | 2020-04-21 | Diagnosis system for detecting oral cancer based on infrared Fourier spectrum |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010317775.7A CN111631681A (en) | 2020-04-21 | 2020-04-21 | Diagnosis system for detecting oral cancer based on infrared Fourier spectrum |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111631681A true CN111631681A (en) | 2020-09-08 |
Family
ID=72324301
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010317775.7A Pending CN111631681A (en) | 2020-04-21 | 2020-04-21 | Diagnosis system for detecting oral cancer based on infrared Fourier spectrum |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111631681A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112945892A (en) * | 2021-01-25 | 2021-06-11 | 西安交通大学 | Tumor diagnosis method based on infrared spectrum fusion and learning vectorization neural network |
| CN117538280A (en) * | 2023-11-03 | 2024-02-09 | 中国人民解放军总医院第一医学中心 | Tumor early stage rapid screening equipment based on microfluidic detection |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1397794A (en) * | 2002-08-21 | 2003-02-19 | 北京大学 | Method and instrument for detecting infrared spectrum of biological tissue |
| CN105520719A (en) * | 2016-01-25 | 2016-04-27 | 上海电力学院 | Early cancer cell detection system based on infrared spectrum |
| CN109394178A (en) * | 2018-10-23 | 2019-03-01 | 乔之光 | Portable FTIR spectrum bone nonunion broken ends of fractured bone disease diagnosing system |
| CN110811551A (en) * | 2019-10-16 | 2020-02-21 | 杨扬 | Oral cavity analysis system and method based on near infrared spectrum |
| CN110907388A (en) * | 2019-11-22 | 2020-03-24 | 光钙(上海)高科技有限公司 | Oil spill type identification method based on infrared spectroscopic analysis |
-
2020
- 2020-04-21 CN CN202010317775.7A patent/CN111631681A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1397794A (en) * | 2002-08-21 | 2003-02-19 | 北京大学 | Method and instrument for detecting infrared spectrum of biological tissue |
| CN105520719A (en) * | 2016-01-25 | 2016-04-27 | 上海电力学院 | Early cancer cell detection system based on infrared spectrum |
| CN109394178A (en) * | 2018-10-23 | 2019-03-01 | 乔之光 | Portable FTIR spectrum bone nonunion broken ends of fractured bone disease diagnosing system |
| CN110811551A (en) * | 2019-10-16 | 2020-02-21 | 杨扬 | Oral cavity analysis system and method based on near infrared spectrum |
| CN110907388A (en) * | 2019-11-22 | 2020-03-24 | 光钙(上海)高科技有限公司 | Oil spill type identification method based on infrared spectroscopic analysis |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112945892A (en) * | 2021-01-25 | 2021-06-11 | 西安交通大学 | Tumor diagnosis method based on infrared spectrum fusion and learning vectorization neural network |
| CN117538280A (en) * | 2023-11-03 | 2024-02-09 | 中国人民解放军总医院第一医学中心 | Tumor early stage rapid screening equipment based on microfluidic detection |
| CN117538280B (en) * | 2023-11-03 | 2024-10-25 | 中国人民解放军总医院第一医学中心 | Tumor early stage rapid screening equipment based on microfluidic detection |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP4156373B2 (en) | An assembly device for the measurement of the optical properties of multilayer structures. | |
| JP4849755B2 (en) | Imaging apparatus and sample analysis method | |
| US6735458B2 (en) | Self-calibrating optical imaging system | |
| US11147482B2 (en) | Method and system for non-invasive blood glucose measurement using signal change of the non-glucose components induced by the presence of glucose | |
| CN101557752B (en) | Method for the glucose concentration in pulsational blood | |
| US7697976B2 (en) | Non-evasive method and apparatus of detection of organism tissues | |
| US20060181791A1 (en) | Method and apparatus for determining a property of a fluid which flows through a biological tubular structure with variable numerical aperture | |
| JPH11508033A (en) | Raman spectroscopy apparatus and method for analysis of blood gases and analytes | |
| CN103635131A (en) | An apparatus for optical analysis of an associated tissue sample | |
| US20020072676A1 (en) | Apparatus and method ofor spectroscopic analysis of human or animal tissue in or body fluids | |
| JP2008132335A (en) | Non-invasive measurement of glucose through optical properties of tissue | |
| JP2005522293A (en) | Systems and methods for spectroscopy of biological tissues | |
| JP2010066280A (en) | Quantification device of glucose concentration | |
| CN105996999B (en) | Method and system for measuring sample depth resolution attenuation coefficient based on OCT | |
| JP2016511015A (en) | Imaging system with hyperspectral camera guide probe | |
| JP4472794B2 (en) | Glucose concentration determination device | |
| US20010048077A1 (en) | Apparatus and method for spectroscopic analysis of human or animal tissue or body fluids | |
| CN111631681A (en) | Diagnosis system for detecting oral cancer based on infrared Fourier spectrum | |
| US20160341668A1 (en) | Angled confocal spectroscopy | |
| CN105596011B (en) | A kind of noninvasive dynamics monitoring device | |
| Heise | Applications of near-infrared spectroscopy in medical sciences | |
| CN114305336A (en) | Multi-spectral fusion percutaneous health index rapid detection device and method | |
| Bindig et al. | Fibre-optic laser-assisted infrared tumour diagnostics (FLAIR) | |
| Steiner | Infrared and Raman Spectroscopic Imaging | |
| Marotta | Polarimetric exploratory data analysis (pEDA) using dual rotating retarder polarimetry for in vitro detection of early stage lung cancer |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200908 |
|
| RJ01 | Rejection of invention patent application after publication |