CN101623191A - Device and method for noninvasively detecting property of stomach tissue - Google Patents

Device and method for noninvasively detecting property of stomach tissue Download PDF

Info

Publication number
CN101623191A
CN101623191A CN200910090920A CN200910090920A CN101623191A CN 101623191 A CN101623191 A CN 101623191A CN 200910090920 A CN200910090920 A CN 200910090920A CN 200910090920 A CN200910090920 A CN 200910090920A CN 101623191 A CN101623191 A CN 101623191A
Authority
CN
China
Prior art keywords
image
tissue
spectrum
mid
patient
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.)
Granted
Application number
CN200910090920A
Other languages
Chinese (zh)
Other versions
CN101623191B (en
Inventor
李庆波
李响
张广军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beihang University
Original Assignee
Beihang University
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 Beihang University filed Critical Beihang University
Priority to CN2009100909206A priority Critical patent/CN101623191B/en
Publication of CN101623191A publication Critical patent/CN101623191A/en
Application granted granted Critical
Publication of CN101623191B publication Critical patent/CN101623191B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Investigating Or Analysing Materials By Optical Means (AREA)

Abstract

一种胃部组织性质无创检测装置及方法,装置包括:光源部分,伸入体内的软性部分,光谱采集装置、计算机等,微型图像采集装置采集胃部图像发送至计算机,入射中红外光经二次衰减全反射(ATR)探头后,将胃部组织的吸收信息传至体外光谱采集装置并转化为电信号后发送至计算机,模式识别模块对该处组织的图像与光谱信息进行判别分析后,输出检测组织性质;本发明方法包括:测量前利用在体胃部组织图像与光谱建立判别分析模型后,采集待检测部位的图像与光谱后输入建立好的判别分析模型,得到待检病人胃部组织的分析结果。本发明可实现在体、无创、快速、多点测量,避免漏检,减少了患者痛苦,将图像与全光谱信息相结合建立判别分析模型,准确度高。

Figure 200910090920

A device and method for non-invasive detection of gastric tissue properties, the device includes: a light source part, a soft part extending into the body, a spectrum acquisition device, a computer, etc., the micro image acquisition device collects images of the stomach and sends them to the computer, and the incident mid-infrared light passes through the After the second attenuated total reflection (ATR) probe, the absorption information of the gastric tissue is transmitted to the external spectrum acquisition device and converted into an electrical signal and sent to the computer. The pattern recognition module discriminates and analyzes the image and spectral information of the tissue , output the detected tissue properties; the method of the present invention includes: before the measurement, the discriminant analysis model is established by using the image and spectrum of the stomach tissue in the body, and then the image and spectrum of the part to be detected are collected and then input into the established discriminant analysis model to obtain the patient's gastric The results of the department's analysis. The invention can realize in-body, non-invasive, rapid and multi-point measurement, avoid missed detection, reduce pain of patients, and combine images with full spectrum information to establish a discriminant analysis model with high accuracy.

Figure 200910090920

Description

A kind of stomach tissue character noninvasive detection device and method
Technical field
The present invention relates to the biological spectrum analysis technical field, relate in particular to a kind of stomach tissue character noninvasive detection device and method.
Background technology
Cancer is a class disease of serious threat human health even life.Gastric cancer is one of modal malignant tumor, and its mortality rate is in the first place that China occupies malignant tumor, and influencing it, to treat topmost factor be stadium, and 5 years survival rates of early gastric cancer can reach more than 90%.At present, Gastric Diseases by Spraying is checked that effective method is a fibergastroscope, gastroscope can be understood the position and the scope of pathological changes down, and can draw materials to suspicious lesions and carry out pathological diagnosis.In clinical gastroscope testing result, the general very case of small scale is a cancer, and the patient of the overwhelming majority then suffers from various chronic inflammatory diseases, and if inflammatory disorders is treated control timely and made regular check on monitoring, inflammation then may further worsen, and dysplasia takes place, and finally develops into cancer.Correct realize apace that the gastroscope sample is normal, the clinical diagnosis in superficial gastritis, atrophic gastritis or the gastric cancer, and take different therapeutic schemes accordingly, significant for the survival rate and the cure rate that improve sufferer.
At present, though gastroscopy is widely adopted clinically, as patent CN 1004530250 described a kind of endoscopic systems.But gastroscopy still has certain limitation, as needs gripping stomach tissue, thereby wound, easy infection are arranged, easily causes diffusion, and is same, because need gripping tissue, is difficult for realizing so the gripping inspection is carried out at all doubtful positions, so may causes omission.The main examinate's of gastroscopic diagnostic result operating experience influence and subjective judgment, thereby degree of accuracy is lower.Organize formalin fixed after the gripping, paraffin embedding, HE dyeing carries out routine pathology at last and learn and check, thereby need the long period just can obtain diagnostic result, and cost is higher.
Fourier transform infrared spectroscopy (Fourier Transform Infrared Spectroscopy is called for short FTIR) is a kind of new method from molecular level postgraduate fabric texture that development in recent years is got up.Infrared spectrum is the sensitive probe of molecule structure change, can detect the variation of composition, structure and the conformation of intracellular matter from the variation of the corresponding group molecular vibration of some material level in the cell.Therefore, the early stage variation of pathological tissues shows on the infrared spectrum when not being embodied in morphologic variation therein to some extent.Though and some present academic researchs also relate to this field, after needing mostly to gather tissue samples, be positioned over the detection of exsomatizing on the spectrogrph, promptly, hope replaces pathologic finding with the spectrum inspection, needs the gripping tissue so equally, thereby also just has its drawback.The laboratory academic research that minority can be differentiated tissue property at body also all is at the human body superficial tissue, promptly reflects near the pathological changes situation of the tissue skin.And present spectral investigation also still rests on the characteristic spectrum peak comparison stage, wasted the bulk information of full spectrum, and too relied on subjective judgment, thereby precision is not high.
In sum, a kind of stomach tissue character noninvasive detection device and method combine spectroscopic analysis methods with image analysis method, are expected to develop into a kind of noinvasive, the new technique of stomach tissue character detection fast, and can be used for the earlier detection of cancer.
Summary of the invention
Technology of the present invention is dealt with problems: overcome the deficiencies in the prior art, a kind of stomach tissue character noninvasive detection device and method are provided, be implemented in body, multimetering, can avoid omission, do not need gripping patient's stomach tissue to carry out pathological analysis, reduced the patient suffering, avoided cross infection and diffusion, image has been combined with the full gloss spectrum information, programmed by mathematical algorithm, automatically differentiate doubtful tissue property, have higher accuracy.
Technical solution of the present invention: a kind of stomach tissue character noninvasive detection device comprises with the lower part: the Lights section, stretch into the intravital soft component of patient, spectra collection device, computer; The Lights section comprises two parts: infrared incident illumination light source in the used light source of the illumination of visible waveband being provided and providing; Stretching into the intravital soft component of patient comprises: visible light incident optical, miniature image harvester, picture signal outlet line; In infrared incident optical, secondary extinction total reflection (ATR) probe, in infrared outgoing optical fiber, wherein secondary ATR probe is positioned at the miniature image harvester and stretches into the intravital soft component of patient bottom, in infrared incident optical with in infrared emergent ray form Y shape fibre bundle and pop one's head in secondary ATR and be connected; It is flexible to stretch into the intravital soft component of patient, and control by operating flexible part, can make its left and right sides all directions bending up and down, helps its tract that passes through the gastric bending by the direction of regulating bent angle, improves overview function;
The visible light that visible light source sends enters the visible light incident optical and transfers in patient's body after Lens Coupling, illuminate stomach tissue, so that the miniature image harvester is gathered the stomach image, and image information is converted into the signal of telecommunication is sent to external computer by the picture signal outlet line;
Infrared incident optical and transferring to after the inherent secondary ATR probe of patient's body inner surface carries out twice attenuated total reflectance during the mid-infrared light that send in the mid-infrared light source enters after Lens Coupling, the emergent light load Biochemical Information of stomach tissue after outgoing optical fiber is sent to the computer part after reaching external spectra collection device and being converted into spectral signal;
Flexible by controlling, the intravital soft component of patient is stretched in rotation, the miniature image harvester is gathered the image of stomach various piece tissue in real time, after finding the suspected lesion tissue, start the spectra collection device and gather the spectral signal at this place, herein image information and spectral information are saved simultaneously, be transferred to the computer part as input, computer can and show in real time with image and spectrographic storage, simultaneously, the various character stomach tissue spectra databases that pattern recognition module utilization in the computer has been set up in advance, image information and spectral information to this place's tissue carry out discriminant analysis, and it is normal that output that can be real-time detects the organization discrimination tissue, superficial gastritis, the differentiation of atrophic gastritis or gastric cancer.
Described visible part light source is selected halogen tungsten lamp or white light LEDs for use, and described mid-infrared light source is a siliconit; Be equipped with convex lens respectively in two light source exits, the light that respectively two light sources sent focuses on and is coupled into incident optical separately, through after the Lens Coupling, visible light source and mid-infrared light source advance respectively visible incident optical and in infrared incident optical.
Described visible light incident optical is selected common quartzy material for use.
In described infrared incident optical with in infrared outgoing fiber selection optical fiber material be germanium salt glass, logical optical band is 700-4000cm -1
It is 45 degree taper ZnSe or Ge crystal that described secondary extinction is launched (ATR) probe entirely, and its section is an isosceles right triangle.
Described miniature image harvester adopts CCD or CMOS sensitization mode.
Described spectra collection device adopts back beam split mode, load the stomach tissue property information in infrared emergent light, extremely external by fiber-optic transfer, after collimated, by being accepted by detector after the light splitting part beam split in the spectra collection device, and being converted into spectral signal, light splitting part can adopt the AOTF crystal, variable filter or grating.
Described pattern recognition module, this module is carried out discriminant analysis by the spectrum and the image information of input to stomach tissue character.Discriminant analysis is a class identification and classification method in the multivariate statistical method, and it is the observation sample result according to two or more parents, according to certain criterion and corresponding discriminant function, differentiates arbitrary individual which kind of parent of ownership of waiting to declare.
Utilize tissue spectrum that has obtained and the tissue property of having differentiated to set up the discriminant analysis model, discriminant analysis is a comparatively sophisticated class identification and classification method in the multivariate statistical method, it is the observation sample result according to two or more parents, according to certain criterion and corresponding discriminant function, differentiate arbitrary individual which kind of parent of ownership of waiting to declare.Its method comprises: the k-nearest neighbor method, and the artificial neural network method, support vector machine methods etc. are multiple, and are not limited to above discriminant analysis method.
K nearest-neighbors method adopts vector space model to classify, and notion is the stomach tissue spectrum similarity height each other of identical category, and can assess the possible classification of unknown classification case by the similarity of calculating with the known class case.As the case may be, choose the nearest k of sample to be discriminated training set sample spectrum, establish in this k sample the sample N that this does not comprise normal, superficial gastritis, atrophic gastritis and gastric cancer 1, N 2, N 3, and N 1+ N 2+ N 3=k.Computational discrimination sample spectrum is to the score that is subordinate to of four class training set samples respectively, formula such as following represented:
Figure G2009100909206D00031
Figure G2009100909206D00032
Figure G2009100909206D00033
D in the formula iRepresent that i training set sample spectrum is to the distance between the sample spectrum to be discriminated in this classification.D iIn order to weigh the similarity degree between sample light, can wait with Euclidean distance, mahalanobis distance, city block distance and calculate, and be not limited to above several distance calculating method.
Calculate sample spectra to be discriminated to all kinds of scores after, relatively the score height is judged to be the highest classification of score with sample to be discriminated.
(Artificial Neural Network is to the abstract of human brain or the some fundamental characteristics of natural neutral net (NaturalNeural Network) and simulation ANN) to artificial neural network.Artificial neural network is based on to the physiological Study achievement of brain, and its purpose is to simulate some mechanism and mechanism of brain, realizes the function of certain aspect.ANN is by having the extensive in parallel network that adaptive simple unit is formed, and its tissue can be simulated the cross reaction that biological nervous system has been done real world objects.Use the identification of Artificial Neural Network implementation pattern.It is very complicated to handle some environmental informations, and background knowledge is unclear, and the indefinite problem of rule of inference allows sample spectra that bigger distortion is arranged, and its speed of service is fast, and adaptive performance is good, has higher resolution.
The method that a kind of stomach tissue character noinvasive detects may further comprise the steps:
A. before measurement, gather enough different pathological analysis results at body stomach tissue image and spectrum, set up the discriminant analysis model by chemometrics method;
B. utilize the miniature image harvester to obtain the image information of training set patient stomach tissue;
C. according to the doubtful part of spectral discrimination, gather and write down the image and the spectral information at doubtful position simultaneously;
D. in the discriminant analysis model that the input step a that the image information at doubtful position combined with spectral information sets up, the analysis result that obtains waiting diagnosing patient's stomach tissue is a kind of for normal, superficial gastritis, atrophic gastritis or gastric cancer.
Described steps A specifically comprises:
A. recruit a large amount of trial volunteers, require stomach among the experimenter close for the ratio of normal, superficial gastritis, atrophic gastritis or gastric cancer;
B. soft component is stretched in experimenter's stomach, gather the image of a part, utilize this position tissue spectrum of sampling collecting fiber simultaneously by the miniature image harvester;
C. spectrum position tissue is gathered in gripping, carries out pathological analysis, determines that its character is normal, a kind of in superficial gastritis, atrophic gastritis or the gastric cancer;
D. utilize the tissue spectrum that obtains through device described in the present invention with image information with utilize pathological analysis to obtain the result, by chemometrics method to spectrum set up normally, the disaggregated model of superficial gastritis, atrophic gastritis or gastric cancer four classes,
Step C is according to the doubtful part of spectral discrimination, gather and write down doubtful station diagram picture and spectral information simultaneously, it is characterized in that: utilize the soft component of corresponding device of the present invention to go deep into patient's stomach to be detected, by controlling its pitching or rotation, gather the image of each position of stomach in real time, when finding that pathological tissues can show as ulcer last, be that basilar part has special performance, uneven, hard sense, expose sense, perilesional mucosa has the performance of concentrating picture and fusion phenomenon or the chap of pestle shape, then begins to write down by the miniature image harvester image of this position, notes the image and the spectroscopic data at this position simultaneously.
The present invention compared with prior art has following advantage:
(1) traditional checkout gear and method need utilize the gripping pincers to gather stomach tissue to external, can bring misery to the patient, may cause diffusion simultaneously and infect, and too much collection organize everywhere also and can not realize, thereby cause omission easily.And the present invention adopts soft component to stretch in patient's body, spectrum and the image of gathering patient tissue on body, noinvasive ground carry out discriminant analysis, thereby need not gripping patient's stomach tissue, only need to gather tissue image and spectrum, can not cause suffering and injure the patient, reduce the patient suffering, and be difficult for cross infection, caused diffusion.Simultaneously, also can realize multimetering, can detect easily, can avoid omission position that might pathological changes.
(2) traditional checkout gear and method need the gripping stomach tissue to external, organize formalin fixed after the gripping, paraffin embedding, and HE dyeing carries out routine pathology at last and learn and check, thereby need the long period just can obtain diagnostic result, and cost is higher.And the middle infrared spectrum that intravital soft component gos deep into gathering in patient's body stomach tissue is goed deep in utilization of the present invention, middle infrared spectrum is the character of characterising biological tissue delicately, therefore can be implemented in body, in site measurement, do not need to carry out pathological analysis, shorten the diagnosis required time, can obtain testing result in real time.
(3) traditional checkout gear and method rely on image to determine tissue property, and if cancerous issue can be observed on iconography then, ten million cancerous tumor cell has at least been arranged.And application of spectral of the present invention is diagnosed, infrared spectrum can be in cell the variation of the corresponding group molecular vibration of some material level detect the spatial arrangements of existence, composition, content and molecule of some material the cell and the variation of structure, thereby the present invention can detect the pathological changes of tissue as early as possible, can be used for the early stage inspection of gastric cancer.
(4) traditional checkout gear and method mainly rely on image detection, in the present research then are to rely on the tissue spectrum that exsomatizes to analyze.And the present invention utilizes image and spectral information as diagnosis basis simultaneously, and quantity of information is bigger, thereby more may obtain right judgement.
(5) in the research at present, be primarily aimed in vitro tissue spectrum characteristics peak and compare, analyze, and the pattern recognition module among the present invention is at setting up the discriminant analysis model at the full spectral coverage spectrum of soma, detect more accurate sensitivity, specificity is higher.
(6) common spectra collection mode is: mid-infrared light enters the mode that skin enters outgoing optical fiber more after reflection by incident optical, and the mid-infrared light penetration depth is very shallow, thereby it is few to carry quantity of information, and organizational information is easy to be submerged in instrument and the background noise.And the present invention adopts secondary extinction total reflection (ATR) probe, has improved spectral signal intensity and signal to noise ratio, for subsequent analysis provides possibility.
Description of drawings
Fig. 1 is a kind of stomach tissue character of the present invention noninvasive detection device composition frame chart;
Fig. 2 is the present invention and the bonded composition frame chart of stomach tissue;
Fig. 3 is a secondary ATR probe profile in apparatus of the present invention;
Fig. 4 is the structure chart of secondary ATR probe in apparatus of the present invention;
Fig. 5 is method flow diagram among the present invention;
Fig. 6 is used AOTF spectrometer architecture figure in the embodiment of the invention;
The stomach tissue image of Fig. 7 for collecting in the embodiment of the invention;
The stomach tissue spectrum of Fig. 8 for collecting in the embodiment of the invention.
Among the figure: 1 the Lights section, 2 visible light sources, 3 mid-infrared light sources, 4 visible light incident opticals, 5 mid-infrared light incident opticals, 6 secondary ATR probe, 7 stomach tissue, 8 mid-infrared light outgoing optical fiber, 9 spectra collection equipment, 10 miniature image collecting devices, 11 image signal transmission circuits, 12 spectral signal transmission lines, 13 computers, 14 pattern recognition modules, 15 stretch into the intravital soft component of patient, the device of 16 fixed fibers and atr crystal, 17 secondary atr crystals.
The specific embodiment
Below in conjunction with the drawings and specific embodiments technical scheme of the present invention is done further and to be elaborated:
As shown in Figures 1 to 4, stomach tissue character noninvasive detection device of the present invention comprises as the lower part:
Secondary ATR probe 6 is positioned at miniature image harvester 10 and stretches into the intravital soft component of patient 15 bottoms, in infrared incident optical 5 with in infrared outgoing optical fiber 8 composition Y shape fibre bundles be connected with secondary atr crystal 17; It is flexible to stretch into the intravital soft component of patient 15, and control is by operating flexible part, can make each 100 ° up and down of crooked maximum angles, to left and right each 50 °, help the tract of first end by the direction of regulating bent angle by the gastric bending, improve overview function.
The visible light that visible light source 2 sends enters visible light incident optical 4 and transfers in patient's body after Lens Coupling, illuminate stomach tissue, so that miniature image 10 harvesters are gathered the stomach image, and image information is converted into the signal of telecommunication is sent to external computer 13 by picture signal 11 outlet lines;
Infrared incident optical 5 and transferring to after the inherent secondary atr crystal of patient's body 17 inner surfacies carry out twice attenuated total reflectance during the mid-infrared light that send in mid-infrared light source 3 enters after Lens Coupling, the emergent light load Biochemical Information of stomach tissue after after outgoing optical fiber 8 reaches external spectra collection device 9 and be converted into spectral signal, be sent to computer part 13 through spectral signal transmission line 12;
Flexible by controlling, the intravital soft component 15 of patient is stretched in rotation, miniature image harvester 10 is gathered the image of stomach various piece tissue in real time, after finding the suspected lesion tissue, start spectra collection device 9 and gather the spectral signal at this place, herein image information and spectral information are saved simultaneously, be transferred to computer part 13 as input, computer can and show in real time with image and spectrographic storage, simultaneously, pattern recognition module 14 in the computer utilizes the various character stomach tissue spectra databases of having set up in advance, image information and spectral information to this place's tissue carry out discriminant analysis, and it is normal that output that can be real-time detects the organization discrimination tissue, superficial gastritis, the differentiation of atrophic gastritis or gastric cancer character.
Visible part light source 2 is selected halogen tungsten lamp for use; Siliconit is selected in mid-infrared light source 3 for use; Be equipped with convex lens respectively at visible part light source 2 and 3 exits, mid-infrared light source, the light that respectively two light sources is sent focuses on and is coupled into incident optical separately, through after the Lens Coupling, visible light source 2 and mid-infrared light source 3 advance respectively visible incident optical 4 with in infrared incident optical 5.
Visible light incident optical 4 is selected common quartzy material for use.
In infrared incident optical 5 with in infrared outgoing optical fiber 8 to select the optical fiber material for use be germanium salt glass, logical optical band is 700-4000cm -1
It is 45 degree taper ZnSe crystal that secondary extinction is launched (ATR) crystal 17 entirely, and its section is an isosceles right triangle.
Miniature image harvester 10 adopts CCD sensitization mode.
It is the back beam splitting type spectrogrph of light splitting part that the spectra collection device adopts AOTF.The population structure block diagram of used AOTF mid-infrared light spectrometer system as shown in Figure 6.Load the stomach tissue property information in infrared emergent light, to external, behind the optically focused colimated light system, enter the AOTF crystal by fiber-optic transfer.Under the effect of ultrasonic frequency, diffraction takes place in AOTF, and zero level transillumination and-1 order diffraction light are radiated at respectively on two middle Infrared Detectorss through focusing on.The optical signal that detector receives changes into direct current signal through interlock circuit, by the single-chip microcomputer computing in the spectrogrph, with the diffraction light signal divided by optical signal transmissive.Because two paths of signals passed through light path much at one, thereby the result of being divided by compensated various interference equal errors in the fluctuating, light path of the intensity of light source, improved certainty of measurement.Digital frequency synthesizer is used for the diffraction light wavelength is carried out continuously or single step scanning, finally generates spectral signal and transfers to computer.
Computer 13 adopts general purpose computer, minimalist configuration P41.7GHz, 512M ram.
Pattern recognition module 14 has the discriminant analysis function in the computer, before using a kind of stomach tissue character noninvasive detection device of the present invention, collect the stomach tissue sample of a large amount of (more than 100), the image of record organization and the spectrum of picture position, need be included in the normal of body in the sample, superficial gastritis, the image and the spectrum of atrophic gastritis or four kinds of character of gastric cancer, character according to the spectrum of carrier tissue this tissue corresponding with image information is set up the numerical classification rule, as to be detected in the body stomach tissue spectrum and during image input discriminant analysis module, can judge that the character of this tissue be normal according to the numerical classification rule of setting up, superficial gastritis, a kind of in atrophic gastritis or the gastric cancer.
Embodiments of the invention adopt support vector machine as Discrimination Analysis Algorithm.Set up by gathering a large amount of experimenter's stomach tissue information before using apparatus of the present invention, module support vector machine sorting algorithm is that the optimal classification face (Optimal Hyperplane) under the linear separability situation proposes.Require classifying face can both correctly classify, require it to satisfy exactly all samples
y i(w Tx i+b)-1≥0,i=1,2,...,n
Those samples that equal sign is set up are called support vector (Support Vectors).The gap size in the classification space (Margin) of two class samples:
M arg in = 2 | | w | |
Therefore, optimal classification face problem can be expressed as the minima of following constrained optimization problems.For this reason, the Lagrange function that can be defined as follows:
L ( w , b , α ) = 1 2 w T w - Σ i = 1 n α i [ y i ( w T x i + b ) - 1 ]
Wherein, a i〉=0 is the Lagrange coefficient, and problem is that w and b are asked Lagrange minimum of a function value.By finding the solution this optimization problem, obtain the optimal classification function and be:
f ( x ) = sgn ( ( w * ) T x + b * ) = sgn ( Σ i = 1 n a i * y i x i * x + b * )
Wherein, sgn () is a sign function.
At first the input space is transformed to a higher dimensional space, in this new space, ask for the optimum linearity classifying face then, and this nonlinear transformation is to realize by defining suitable kernel function (inner product function), order by nonlinear transformation Φ:
K(x i,x j)=<Φ(x i)·Φ(x j)>
With kernel function K (x i, x j) replace the dot product x in the optimal classification plane i Tx j, just being equivalent to former feature space has been transformed to a certain new feature space, corresponding discriminant function formula then is:
f ( x ) = sgn [ ( w * ) T &phi; ( x ) + b * ] = sgn ( &Sigma; i = 1 n a i * y i K ( x i , x ) + b * )
X wherein iBe support vector, x is a unknown vector,
It is as follows to adopt the described checkout gear of claim 1 to carry out the specific embodiment of the method that stomach tissue character noinvasive detects:
Recruit trial volunteer totally 118 people, adopt the soft component of device of the present invention to stretch in experimenter's stomach, gather the image of a part, utilize this position tissue spectrum of sampling collecting fiber simultaneously by miniature image harvester wherein;
Spectrum position tissue is gathered in gripping, carries out pathological analysis, verifies gastric cancer 35 examples through the HE of Pathology Deparment, superficial gastritis 31 examples, atrophic gastritis 33 examples, normal gastric mucosa 19 examples;
Set up aforesaid support vector machine discriminant analysis model, extract a patient to be diagnosed again in addition immediately, after checking 8 o'clock evenings before that day, do not take food thing and beverage, no smoking.The previous day, supper was eaten the digestible food of few slag.The probe that will have the optical fiber of sampling stretches in patient's stomach, open the probe light source of being with and illuminate stomach tissue, gather the image of each position of stomach in real time, find that place's tissue shows as ulcer, this place's tissue image assert that then this place is doubtful position shown in Figure of description 7, note the spectrum picture of this place's tissue, gather and note the image and the spectroscopic data at this position simultaneously, this place organizes spectrogram as shown in Figure 8.
With the support vector machine discriminant analysis module that the spectral information and the image information at this place are brought foundation into, judge that this place is gastric cancer.Gripping then should be organized to external at the place, carries out conventional analysis of cases, and the result is consistent with testing result of the present invention.
The above is preferred embodiment of the present invention only, is not to be used to limit protection scope of the present invention.

Claims (10)

1、一种胃部组织性质无创检测装置,其特征在于包括以下部分:光源部分,伸入患者体内的软性部分,光谱采集装置,计算机。光源部分包含两部分:提供照明所用的可见光光源与提供光谱采集所需的中红外光源;伸入患者体内的软性部分包括:可见光入射光纤,微型图像采集装置,图像信号输出线路;中红外入射光纤,二次衰减全反射(ATR)探头,中红外出射光纤,其中二次ATR探头与微型图像采集装置位于伸入患者体内的软性部分底端,中红外入射光纤与中红外出射光线组成Y形光纤束与二次ATR探头相连接;伸入患者体内的软性部分可弯曲,控制,通过操作可弯曲部分,可使其向上下左右各方向弯曲,通过调节弯角的方向而有助于其通过胃内弯曲的腔道,提高观察功能;1. A non-invasive detection device for gastric tissue properties, which is characterized in that it includes the following parts: a light source part, a soft part extending into the patient's body, a spectrum acquisition device, and a computer. The light source part consists of two parts: the visible light source used for illumination and the mid-infrared light source required for spectrum collection; the soft part extending into the patient's body includes: visible light incident optical fiber, miniature image acquisition device, image signal output circuit; mid-infrared incident Optical fiber, secondary attenuated total reflection (ATR) probe, mid-infrared output optical fiber, wherein the secondary ATR probe and micro image acquisition device are located at the bottom of the soft part extending into the patient's body, the mid-infrared incident optical fiber and the mid-infrared outgoing light form a Y The shaped optical fiber bundle is connected with the secondary ATR probe; the soft part inserted into the patient's body can be bent and controlled. By operating the bendable part, it can be bent up, down, left, and right, and it is helpful to adjust the direction of the bending angle. It improves the observation function through the curved cavity in the stomach; 可见光光源发出的可见光经透镜耦合后进入可见光入射光纤并传输至患者体内,照亮胃部组织,以便微型图像采集装置采集胃部图像,并将图像信息转化为电信号通过图像信号输出线路发送至体外计算机;The visible light emitted by the visible light source is coupled by the lens and then enters the visible light incident optical fiber and is transmitted to the patient's body to illuminate the stomach tissue so that the micro image acquisition device can collect images of the stomach and convert the image information into electrical signals and send them to the patient through the image signal output line. external computer; 中红外光源发出的中红外光经透镜耦合后进入中红外入射光纤并传输至患者体内在二次ATR探头内表面进行两次衰减全反射后,出射光负载了胃部组织的生化信息后经出射光纤传至体外光谱采集装置并转化为光谱信号后发送至计算机部分;The mid-infrared light emitted by the mid-infrared light source is coupled by the lens and enters the mid-infrared incident optical fiber and is transmitted to the patient. After two attenuated total reflections on the inner surface of the secondary ATR probe, the outgoing light is loaded with the biochemical information of the gastric tissue and then exits. The optical fiber is transmitted to the in vitro spectrum acquisition device and converted into a spectrum signal and sent to the computer part; 通过控制伸缩、转动伸入患者体内的软性部分,微型图像采集装置实时采集胃部各个部分组织的图像,当发现疑似病变组织后,启动光谱采集装置采集该处的光谱信号,此处的图像信息与光谱信息同时被保存下来,作为输入被传输至计算机部分,计算机可以将图像与光谱的存储并实时显示,同时,计算机内的模式识别模块利用事先已建立的各种性质胃部组织光谱数据库,对该处组织的图像信息与光谱信息进行判别分析,实时的输出检测组织判别组织正常、浅表性胃炎、萎缩性胃炎或胃癌性质的判别。By controlling the expansion and rotation of the soft part that extends into the patient's body, the micro image acquisition device collects images of various parts of the stomach in real time. The information and spectral information are saved at the same time, and transmitted to the computer part as input. The computer can store and display the images and spectra in real time. At the same time, the pattern recognition module in the computer uses the pre-established gastric tissue spectral database of various properties. Discriminant analysis is performed on the image information and spectral information of the tissue, and the real-time output detection tissue is used to distinguish whether the tissue is normal, superficial gastritis, atrophic gastritis or the nature of gastric cancer. 2、根据权利要求1所述的胃部组织性质无创检测装置,其特征在于:所述的可见部分光源选用卤钨灯或白光LED,所述的中红外光源为硅碳棒;在两光源出口处分别置有凸透镜,分别将两光源所发出的光聚焦耦合入各自入射光纤,经过透镜耦合后,可见光光源与中红外光源分别进可见入射光纤与中红外入射光纤。2. The device for non-invasive detection of gastric tissue properties according to claim 1, characterized in that: the visible part of the light source is a tungsten halogen lamp or a white LED, and the mid-infrared light source is a silicon carbide rod; Convex lenses are installed at each place to focus and couple the light emitted by the two light sources into their respective incident fibers. After coupling by the lens, the visible light source and the mid-infrared light source enter the visible incident fiber and the mid-infrared incident fiber respectively. 3、根据权利要求1所述的胃部组织性质无创检测装置,其特征在于:所述的可见光入射光纤选用普通石英材质。3. The device for non-invasive detection of gastric tissue properties according to claim 1, characterized in that: the visible light incident optical fiber is made of ordinary quartz material. 4、根据权利要求1所述的胃部组织性质无创检测装置,其特征在于:所述的中红外入射光纤与中红外出射光纤选用光纤材质为锗盐玻璃,通光波段为700-4000cm-1。4. The device for non-invasive detection of gastric tissue properties according to claim 1, characterized in that: the optical fiber material of the mid-infrared incident optical fiber and the mid-infrared outgoing optical fiber is germanium salt glass, and the light-passing band is 700-4000cm-1 . 5、根据权利要求1所述的胃部组织性质无创检测装置,其特征在于:所述二次衰减全发射(ATR)探头为45度锥形ZnSe或Ge晶体,其剖面为等腰直角三角形。5. The device for non-invasive detection of gastric tissue properties according to claim 1, characterized in that: the secondary attenuated total emission (ATR) probe is a 45-degree conical ZnSe or Ge crystal, and its cross-section is an isosceles right triangle. 6、根据权利要求1所述的胃部组织性质无创检测装置,其特征在于:所述的微型图像采集装置采用CCD或CMOS感光方式。6. The device for non-invasive detection of gastric tissue properties according to claim 1, characterized in that: said miniature image acquisition device adopts CCD or CMOS photosensitive method. 7、根据权利要求1所述的胃部组织性质无创检测装置,其特征在于:所述的光谱采集装置采用后分光方式,负载了胃部组织性质信息的中红外出射光,由光纤传输至体外,经透镜准直后,通过光谱采集装置中的分光部件分光后被光电检测器接受,并转化为电信号,分光部件可以采用AOTF晶体,可变滤光片或光栅。7. The device for non-invasive detection of gastric tissue properties according to claim 1, characterized in that: the spectrum acquisition device adopts a post-splitting method, and the mid-infrared outgoing light loaded with information about the properties of gastric tissue is transmitted to the outside of the body by an optical fiber After being collimated by the lens, the light is split by the light-splitting component in the spectrum acquisition device and accepted by the photodetector, and converted into an electrical signal. The light-splitting component can use AOTF crystal, variable filter or grating. 8、采用权利要求1所述的检测装置进行胃部组织性质无创检测的方法,其特征在于,包括以下步骤:8. The method for non-invasive detection of gastric tissue properties using the detection device according to claim 1, characterized in that it comprises the following steps: (1)在测量前采集足够不同病理分析结果的在体胃部组织图像与光谱,通过化学计量学方法建立判别分析模型;(1) Collect enough in vivo gastric tissue images and spectra with different pathological analysis results before measurement, and establish a discriminant analysis model through chemometric methods; (2)利用微型图像采集装置获取训练集病人胃部组织的图像信息;(2) Utilize the miniature image acquisition device to acquire the image information of the gastric tissue of the patient in the training set; (3)根据图像判定疑似部分,同时采集并记录疑似部位的图像与光谱信息;(3) Determine the suspected part according to the image, and simultaneously collect and record the image and spectral information of the suspected part; (4)将疑似部位的图像信息与光谱信息相结合输入步骤(1)建立好的判别分析模型中,得到待诊断病人胃部组织的分析结果,为正常、浅表性胃炎、萎缩性胃炎或胃癌中的一种。(4) Combine the image information of the suspected part with the spectral information and input it into the discriminant analysis model established in step (1) to obtain the analysis results of the gastric tissue of the patient to be diagnosed, which is normal, superficial gastritis, atrophic gastritis or A type of stomach cancer. 9、权利要求8中所述的无创检测的方法,其特征在于:所述步骤(1)在测量前采集足够不同病理分析结果的在体胃部组织图像与光谱,建立判别分析模型的方法如下:9. The non-invasive detection method according to claim 8, characterized in that: said step (1) before the measurement, collect enough images and spectra of in vivo gastric tissue with different pathological analysis results, and the method for establishing a discriminant analysis model is as follows : a.招募大量志愿受试者,要求受试者中胃部为正常、浅表性胃炎、萎缩性胃炎或胃癌的比例相近;a. Recruit a large number of volunteer subjects, and require that the proportion of subjects with normal stomach, superficial gastritis, atrophic gastritis or gastric cancer is similar; b.将权利要求1所述装置的软性部分伸入受试者胃中,通过其中的微型图像采集装置采集某部位的图像,同时利用采样光纤采集该部位组织光谱;b. Insert the soft part of the device according to claim 1 into the subject's stomach, collect the image of a certain part through the micro image acquisition device therein, and simultaneously use the sampling optical fiber to collect the tissue spectrum of the part; c.夹取被采集光谱部位组织,进行病理分析,确定其性质为正常、浅表性胃炎、萎缩性胃炎或癌症中的一种;c. Clamp the tissue of the collected spectral part, conduct pathological analysis, and determine its nature as one of normal, superficial gastritis, atrophic gastritis or cancer; d.利用权利要求1所述装置获得的组织光谱与图像信息和利用病理分析得到结果,对光谱建立正常、浅表性胃炎、萎缩性胃炎及癌症四类的分类模型。d. Utilize the tissue spectrum and image information obtained by the device according to claim 1 and the results obtained by pathological analysis, and establish four classification models for the spectrum: normal, superficial gastritis, atrophic gastritis and cancer. 10、权利要求8中所述的无创检测的方法,其特征在于:所述步骤(3)根据图像判定疑似部分,同时采集并记录疑似部位的图像与光谱信息的方法为:利用权利要求1所述装置的软性部分深入待检测患者胃部,通过控制其俯仰或转动,实时采集胃部各个位置的图像,当发现病变组织在上会表现为溃疡性,即基底部会有特殊的表现,不平,硬感、暴露感,病灶周围的粘膜会有集中像和融合现象或者杵状变粗的表现,则开始通过微型图像采集装置记录该位置的图像,同时记录下该部位的图像与光谱数据。10. The method of non-invasive detection as claimed in claim 8, characterized in that: said step (3) determines the suspected part according to the image, and the method of collecting and recording the image and spectral information of the suspected part at the same time is: using the method described in claim 1 The soft part of the device goes deep into the stomach of the patient to be detected. By controlling its pitch or rotation, images of various positions in the stomach are collected in real time. , hard feeling, exposure feeling, the mucosa around the lesion will have concentrated image and fusion phenomenon or clubbing and thickening, then start to record the image of the position through the micro image acquisition device, and record the image and spectral data of the position at the same time.
CN2009100909206A 2009-08-14 2009-08-14 Device for noninvasively detecting property of stomach tissue Active CN101623191B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2009100909206A CN101623191B (en) 2009-08-14 2009-08-14 Device for noninvasively detecting property of stomach tissue

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2009100909206A CN101623191B (en) 2009-08-14 2009-08-14 Device for noninvasively detecting property of stomach tissue

Publications (2)

Publication Number Publication Date
CN101623191A true CN101623191A (en) 2010-01-13
CN101623191B CN101623191B (en) 2011-02-16

Family

ID=41519294

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2009100909206A Active CN101623191B (en) 2009-08-14 2009-08-14 Device for noninvasively detecting property of stomach tissue

Country Status (1)

Country Link
CN (1) CN101623191B (en)

Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012075702A1 (en) * 2010-12-10 2012-06-14 广州宝胆医疗器械科技有限公司 Electronic gastroscope system with infrared thermal scanning function
CN102512134A (en) * 2011-11-17 2012-06-27 蔡信东 Intelligent diagnostic enteroscope
CN103398948A (en) * 2013-08-14 2013-11-20 武汉大学 ATR (attenuated total reflectance) probe for Fourier transform infrared spectrometer
CN103750807A (en) * 2011-12-30 2014-04-30 广州宝胆医疗器械科技有限公司 Electronic gastroscope system with night vision function
CN105520719A (en) * 2016-01-25 2016-04-27 上海电力学院 Early cancer cell detection system based on infrared spectrum
CN107967946A (en) * 2017-12-21 2018-04-27 武汉大学 Operating gastroscope real-time auxiliary system and method based on deep learning
CN108140240A (en) * 2015-08-12 2018-06-08 分子装置有限公司 For automatically analyzing the system and method for the phenotypic response of cell
CN108185974A (en) * 2018-02-08 2018-06-22 北京数字精准医疗科技有限公司 A kind of endoscopic fluorescence ultrasound merges radiography navigation system
CN108245121A (en) * 2016-12-29 2018-07-06 刘小华 Endoscope and its imaging method and intelligent diagnosis system
CN108272437A (en) * 2017-12-27 2018-07-13 中国科学院西安光学精密机械研究所 Spectrum detection system for skin disease diagnosis and classifier model construction method
CN108670203A (en) * 2018-06-01 2018-10-19 深圳开立生物医疗科技股份有限公司 A kind of imaging device
CN108742490A (en) * 2018-05-30 2018-11-06 广州众健医疗科技有限公司 A kind of spectral detection system of diagnosing gastric cancer gastroscope
CN108784642A (en) * 2018-05-30 2018-11-13 广州众健医疗科技有限公司 A kind of spectrum biopsy instrument for early carcinoma of stomach diagnosis
CN109330550A (en) * 2018-10-17 2019-02-15 孙静 A kind of ultra-fine scope intelligence check device of Respiratory Medicine spectrum-type
CN111358573A (en) * 2020-02-26 2020-07-03 西安交通大学医学院第二附属医院 Hyperspectral imaging surgical area rapid detection and marking device and detection method
CN111568348A (en) * 2020-06-04 2020-08-25 中国医学科学院生物医学工程研究所 Optical diagnosis and treatment capsule endoscope with external power supply and control
CN112823396A (en) * 2018-10-02 2021-05-18 翰林大学产学合作团 Endoscope device and method for diagnosing gastric lesion based on gastric endoscope image obtained in real time
CN113324944A (en) * 2021-06-08 2021-08-31 晶格码(青岛)智能科技有限公司 In-situ on-line infrared spectrum monitoring equipment, system and method for crystallization process control
CN114305260A (en) * 2021-12-20 2022-04-12 珠海格力电器股份有限公司 Control method and device of cleaning robot, medium and cleaning robot

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012075702A1 (en) * 2010-12-10 2012-06-14 广州宝胆医疗器械科技有限公司 Electronic gastroscope system with infrared thermal scanning function
CN102512134A (en) * 2011-11-17 2012-06-27 蔡信东 Intelligent diagnostic enteroscope
CN103750807A (en) * 2011-12-30 2014-04-30 广州宝胆医疗器械科技有限公司 Electronic gastroscope system with night vision function
CN103398948A (en) * 2013-08-14 2013-11-20 武汉大学 ATR (attenuated total reflectance) probe for Fourier transform infrared spectrometer
CN103398948B (en) * 2013-08-14 2015-09-16 武汉大学 A kind of ATR for Fourier transform infrared spectrometer pops one's head in
CN108140240A (en) * 2015-08-12 2018-06-08 分子装置有限公司 For automatically analyzing the system and method for the phenotypic response of cell
CN105520719A (en) * 2016-01-25 2016-04-27 上海电力学院 Early cancer cell detection system based on infrared spectrum
CN108245121A (en) * 2016-12-29 2018-07-06 刘小华 Endoscope and its imaging method and intelligent diagnosis system
CN107967946B (en) * 2017-12-21 2021-05-11 武汉楚精灵医疗科技有限公司 Gastroscope operation real-time auxiliary system and method based on deep learning
CN107967946A (en) * 2017-12-21 2018-04-27 武汉大学 Operating gastroscope real-time auxiliary system and method based on deep learning
CN108272437A (en) * 2017-12-27 2018-07-13 中国科学院西安光学精密机械研究所 Spectrum detection system for skin disease diagnosis and classifier model construction method
CN108185974A (en) * 2018-02-08 2018-06-22 北京数字精准医疗科技有限公司 A kind of endoscopic fluorescence ultrasound merges radiography navigation system
CN108742490A (en) * 2018-05-30 2018-11-06 广州众健医疗科技有限公司 A kind of spectral detection system of diagnosing gastric cancer gastroscope
CN108784642A (en) * 2018-05-30 2018-11-13 广州众健医疗科技有限公司 A kind of spectrum biopsy instrument for early carcinoma of stomach diagnosis
CN108670203A (en) * 2018-06-01 2018-10-19 深圳开立生物医疗科技股份有限公司 A kind of imaging device
CN112823396A (en) * 2018-10-02 2021-05-18 翰林大学产学合作团 Endoscope device and method for diagnosing gastric lesion based on gastric endoscope image obtained in real time
CN109330550A (en) * 2018-10-17 2019-02-15 孙静 A kind of ultra-fine scope intelligence check device of Respiratory Medicine spectrum-type
CN109330550B (en) * 2018-10-17 2021-01-15 孙静 Breathe superfine scope intelligent inspection device of spectrum formula for internal medicine
CN111358573A (en) * 2020-02-26 2020-07-03 西安交通大学医学院第二附属医院 Hyperspectral imaging surgical area rapid detection and marking device and detection method
CN111358573B (en) * 2020-02-26 2023-06-20 西安交通大学医学院第二附属医院 Device and method for rapidly detecting and marking hyperspectral imaging operation area
CN111568348A (en) * 2020-06-04 2020-08-25 中国医学科学院生物医学工程研究所 Optical diagnosis and treatment capsule endoscope with external power supply and control
CN113324944A (en) * 2021-06-08 2021-08-31 晶格码(青岛)智能科技有限公司 In-situ on-line infrared spectrum monitoring equipment, system and method for crystallization process control
CN114305260A (en) * 2021-12-20 2022-04-12 珠海格力电器股份有限公司 Control method and device of cleaning robot, medium and cleaning robot
CN114305260B (en) * 2021-12-20 2022-11-01 珠海格力电器股份有限公司 Control method and device of cleaning robot, medium and cleaning robot

Also Published As

Publication number Publication date
CN101623191B (en) 2011-02-16

Similar Documents

Publication Publication Date Title
CN101623191A (en) Device and method for noninvasively detecting property of stomach tissue
CN102088906A (en) Improved method and apparatus for determination of a measure of a glycation end-product or disease state using tissue fluorescence
Shim et al. In vivo Near‐infrared Raman Spectroscopy: Demonstration of Feasibility During Clinical Gastrointestinal Endoscopy¶
Duraipandian et al. Real-time Raman spectroscopy for in vivo, online gastric cancer diagnosis during clinical endoscopic examination
US7440659B2 (en) Depth-resolved reflectance instrument and method for its use
US9931039B2 (en) Methods related to real-time cancer diagnostics at endoscopy utilizing fiber-optic Raman spectroscopy
US20030191378A1 (en) Apparatus and method for spectroscopic analysis of tissue to detect diabetes in an individual
US20030026762A1 (en) Bio-spectral imaging system and methods for diagnosing cell disease state
US20030023152A1 (en) System for non-invasive measurement of glucose in humans
US20090326383A1 (en) Systems and methods for hyperspectral imaging
US20110028808A1 (en) Method and apparatus for examination of cancer, systemic lupus erythematosus (sle), or antiphospholipid antibody syndrome using near-infrared light
CN1341209A (en) Imaging of tissue using polarized light
CA2429045A1 (en) A diagnostic system for the ear
AU2013341327A1 (en) System and method for serum based cancer detection
JP2003511693A (en) Optimization of fiber optic probe for spectrophotometry
WO2009043050A2 (en) Optical assay system with a multi-probe imaging array
JP2013544151A (en) In vivo imaging apparatus and method for performing spectral analysis
JP2013511341A (en) Method and apparatus for detecting coronary artery calcification or coronary artery disease
CN104856653A (en) Device and method for detecting blood vessel
JP2004526141A (en) A method for processing broadband elastic scattering spectra obtained from tissue.
JPH11510254A (en) Optical microprobe and method for spectral analysis of materials
Shaikh et al. A comparative evaluation of diffuse reflectance and Raman spectroscopy in the detection of cervical cancer
Fabelo et al. Surgical aid visualization system for glioblastoma tumor identification based on deep learning and in-vivo hyperspectral images of human patients
CN102046070A (en) Rapid diagnosis of a disease condition using infrared spectroscopy
Chang et al. Deep learning methods for oral cancer detection using Raman spectroscopy

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant