CN102608116A - Gastric ulcer model evaluation method based on grey-scale image analysis - Google Patents
Gastric ulcer model evaluation method based on grey-scale image analysis Download PDFInfo
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Abstract
The invention discloses a gastric ulcer model evaluation method based on grey-scale image analysis. The method comprises three steps, which are image collection, image conversion, and data processing and ulcer index calculation. In the image collection step, a sample is placed in a dark box with a fixed volume and a fixed light source; and color (RPG) images are collected by shooting by using image collection tools such as a digital camera. In the image conversion step, analysis software such as ImageJ is adopted, and the collected color images are subject to grey-scale image conversion, gastric mucosa region image selection and pixel statistics, and gastric ulcer region image selection and pixel statistics. In the data processing and ulcer index calculation step, in units of pixel points, the percentage of the area of the gastric ulcer region in the mucous membrane gross area is calculated, and is adopted as the ulcer index for evaluating the gastric ulcer model. With the method, rat/mice experimental gastric ulcer models can be accurately evaluated. The method is also suitable for other image analysis and statistics with images as targets.
Description
Technical field
The present invention relates to a kind of gastric ulcer model evaluation method of analyzing based on gray level image, belong to medical technical field.
Background technology
Peptic ulcer is common clinical, frequently-occurring disease.Along with the quickening of people's rhythm of life in recent years, this sick incidence of disease is rising situation, and age of onset descends to some extent, and its research has become one of focus of current medical research.
Common be used to estimate the comparatively ripe model of medicine anti-gastric-ulcer activity pyloric ligation ulcers gastric ulcer model, water logging stress gastric ulcer model, ethanol to gastric mucosa injure model, acetate calcination type gastric ulcer model etc. are arranged.
UI is the damage of a kind of reflection gastric ulcer model or a ulcer order of severity evaluation index comparatively intuitively, in the gastric ulcer pharmacodynamic study, uses general.The calculating of UI normally people utilizes and adds up after ruler or the vernier caliper hand dipping ulcer size.The standard of statistics UI is different, has following several kinds usually: (1) is by the Guth standard integral: petechial hemorrhage is 1 minute, streak-like hemorrhage; Length＜1mm is 2 minutes; 1-2mm is 3 minutes, and 2-4mm is 4 minutes, and＞4mm is 5 minutes; Width during greater than 2mm score value double; Full stomach respectively damages the damage index total points (Guth PH, etc.Topical aspirin plus HCl gastric lesions in the rat.Cytoprotective effect of prostaglandin, cimetidine and probanthine.Gastroenterology) that the focus score value adds up to this animal.(2) measure the ulcer area, the major diameter of gastric mucosa injure area < 1mm meter 1 minute, 1-2mm meter 2 minutes; 2-3mm meter 3 minutes, 3-4mm meter 4 minutes, 4mm meter 5 minutes; It is areal survey; The summation that full stomach must divide is UI (Zhang Hongmei, the experimental study that Zuojin Wan is regulated the stress ulcer maincenter, No.1 Military Medical Univ.'s Master's thesis).(3) measure gastric injury length evaluation UI, the length that the strip damage occurs with gland area is measured length greater than 1mm person; Every mm note 1 minute, its width is kept the score greater than 1mm person and is doubled, and length and width are all less than 1mm; Remember 0.5 fen; All score additions are the UI (Huang Zhen, stomach three electuaries to the research of rat experiment gastric ulcer effect, Chinese clinical medical magazine) of this mouse.(4) measure the ulcer area, and be converted to UI, divide 5 grades with the big subsection of its summation.Ulcer area (mm
2): 1-12; 13-25; 25-37; 38-50; 50 or the perforation (Pei Renjiu etc., ulcerlmin and ranitidine hydrochloride share the influence to four kinds of rat gastric ulcer models, PLA's Acta Pharmaceutica Sinica).(5) ulcer level is divided into 6 grades as UI: intact mucosa is 0 grade; Petechial hemorrhage Zhi Jing ≧ 1mm, the 1-5 point is 1 grade; The 6-10 point is 2 grades; More than 10 be 3 grades; The hemorrhage 1-5 bar of strip is 4 grades; The 6-10 bar is 5 grades; Article 10, more than be 6 grades (1 of diameter≤1 mm meter, 1 mm diameter≤2 mm count 2,2 mm diameter≤3 mm is counted 3) (Yu Hailing, geranium wilfordii is to the influence of mouse absolute ethyl alcohol type gastric ulcer, the time treasure traditional Chinese medical science traditional Chinese medicines).(6) measure the long and short footpath of damage; By formula calculate ulcer area (S), be converted into UI again, S=π (d1d2)/4 (wherein d1, d2 represent the long and short footpath of ulcer respectively); The ulcer area is 0, when 1-8,9-24,25-63,64-120,121-168 or perforation; UI is respectively 0,1,2,3,4,5 (Qi Chen, herbal medicine efficacy research thinking and method, People's Health Publishers).Solve at present in the gastric ulcer pharmacological experiment study, when estimating the gastric ulcer model damage or the ulcer order of severity, the heavy work that the hand dipping UI brings and the problem of subjective measurement error.
Summary of the invention
The object of the invention; Provided a kind of gastric ulcer model evaluation method of analyzing based on gray level image; Solve at present in gastric ulcer pharmacology (drug effect) experimental study; When estimating the gastric ulcer model damage or the ulcer order of severity, the heavy work that the hand dipping UI brings and the problem of subjective measurement error.
The technical scheme that adopts is:
A kind of gastric ulcer model evaluation method of analyzing based on gray level image comprises that mainly IMAQ, image transitions and data processing and UI calculate three steps.
(1), IMAQ: sample is positioned over the setting position in the camera bellows of fixed volume, fixed light source,, under the sample same distance, is taking pictures, gather colored (RGB) image again with IMAQ instrument fixed focal lengths such as digital cameras.
(2), image transitions: utilizing image analysis software such as Image J, the colour that collects (RGB) image transitions is become the gray level image of 8-bit form, is unit with the pixel, chooses, adds up the summation of stomach lining zone and gastric ulcer area pixel point respectively.
(3), data processing and UI calculate: with the summation of stomach lining zone and gastric ulcer area pixel point; Area as two zones; Calculate the number percent that the gastric ulcer region area accounts for the stomach lining region area, and estimate gastric ulcer model as UI with this.
The present invention is applicable to experimental gastric ulcer models such as pyloric ligation ulcers gastric ulcer model, water logging stress gastric ulcer model, ethanol to gastric mucosa injure model, acetate calcination type gastric ulcer model, and other are the graphical analysis and the statistics application of target with the image.
The computing method of UI are the number percent that statistics ulcer zone elemental area accounts for whole stomach lining area pixel area among the present invention, estimate gastric ulcer model with this as UI.The size of different big (little) mouse stomaches is distinguishing, and different big (little) mouse ulcer areas of statistics account for the number percent of whole stomach lining area respectively, can eliminate the systematic error that individual difference is brought.
Gray level image is meant and only contains monochrome information, do not contain the image of color information.Color in the coloured image has R, G, three component decisions of B, and each component has 255 kinds of values desirable, and such pixel can have more than 1,600 ten thousand change in color scope.And a kind of special coloured image that gray level image is R, G, three components of B are identical, the variation range of a pixel is for having only 255 kinds, and is simple relatively in Digital Image Processing.
After the various gastric ulcer model pictures that collect among the present invention changed into gray level image, ulcer zone and normal region relatively all can present obvious gray scale aberration, through the adjustment threshold size, can make the ulcer zone selected and statistical pixel is big or small.In addition, utilize image analysis software also can choose and add up whole stomach lining area pixel size.Measure UI relatively with traditional-handwork, can eliminate the systematic error that subjective factor brings.
The present invention utilizes modern digital code information, image analysis technology and means, and the improvement on traditional gastric ulcer model evaluation method basis relatively has more science with classic method.
Experimental example: the gastric ulcer model evaluation method of analyzing based on gray level image is to the evaluation of rat absolute ethyl alcohol type ulcer model
1 material and reagent
1.1 animal used as test
The healthy SD rat, body weight 200 ± 20g, female, provide by Dalian Medical Univ's Experimental Animal Center, conformity certification number is SCXK (the Liao Dynasty) 2008-0002.
1.2 medicine and reagent
Omeprazole enteric-coated capsules (three refining medicine Nuo Jie Ltds of Harbin Pharmaceutical Group); Qizhi weitong granules (Liaoning Benxi Sanyao Co., Ltd.); Formalin (Longhai City, Dandong City chemical reagent work); Absolute ethyl alcohol (extraordinary chemical reagent development centre, North China); Sodium dihydrogen phosphate (Tianjin Kermel Chemical Reagent Co., Ltd.); Sodium hydrogen phosphate (the triumphant letter chemical industry in Tianjin company limited).
1.3 key instrument
Digital camera (Kodak N137, Eastman Kodak); Image J medical image analysis software (NIH).
2 methods and result
2.1 the preparation of neutral formalin solution
Take by weighing AMSP 6.5g, sodium hydrogen phosphate 4g, 40% formalin 100ml, suitable quantity of water dissolving back constant volume is put in the 1000ml measuring bottle, promptly gets.
2.2 the foundation of absolute ethyl alcohol gastric ulcer model
Get 24 of healthy SD rats, female, body weight 200 ± 20g is divided into 3 groups at random, and 8 every group, i.e. model group, Omeprazole group (0.012g/kg), qizhi weitong granules group (5g/kg).Each group is pressed various dose gastric infusion every day 1 time, and model group is irritated clothes distilled water, continuous 15 days.Can't help water 24 h from irritating stomach beginning in the 14th day fasting, behind the 15th day administration 1h, each group filling stomach absolute ethyl alcohol 1 ml/only.Take off cervical vertebra behind the 1h and put to death rat, cut open the belly ligation stomach orifice of the stomach and pylorus; And in gastral cavity, inject neutral formalin solution 5ml through coat of the stomach, and stomach is taken out, put into fixedly 15min of neutral formalin solution; Cut off coat of the stomach along greater curvature, calculating is respectively organized UI and is taken pictures.
2.3 traditional UI computing method (A method)
Ruler is measured stomach lining damaged length (mm), and streak damaged length is measured its length greater than 1mm person, and every mm meter 1 minute doubles its score if width surpasses 1mm person, and score adds up to the UI of this animal.The data SPSS16.0 software processes, result represent that with mean and standard deviation group difference relatively adopts one-way analysis of variance, and the result sees table 1:
Table 1 UI result of calculation (± s)
| ? | Sample size (n) | UI (mm) | Inhibiting rate (%) |
| Model group | 8 | 70.5±17.51 | - |
| The Omeprazole group | 8 | 13.03±5.76 | 81.52* |
| The energy-stagnation stomachache group | 8 | 13.41±9.70 | 80.98* |
Inhibiting rate=(1-administration group UI/model group UI) * 100%
Annotate: compare * P＜0.01 with model group
2.4 gray level image is analyzed UI computing method (B method)
2.4.1 IMAQ
Growing * wide * height=20cm * place sample in the camera bellows of 20cm * 20cm, camera bellows four sides fixed light source causes no shadow state as far as possible.The digital camera fixed focal length is being taken pictures under the sample same distance, gathers colored (RGB) image.
2.4.2 image transitions
In Image J image analysis software, open pre-service picture (see figure 1), carry out self-compiling program 1, image is changed into 8-bit form gray level image (see figure 2); Utilize polygonal region selection function in the software, manually select in the picture stomach lining zone and duplicate; Carry out self-compiling program 2, the quantity sum of display pixel point as the stomach lining region area, saves the data in the table 1, sets up new mucous membrane area grayscale image automatically and preserves (see figure 3); Carry out self-compiling program 3, open new images and while display threshold (Threshold), the adjustment threshold value makes the ulcer zone selected; Carry out self-compiling program 4, preserve ulcer zone gray level image (see figure 4) automatically, and show the quantity sum of ulcer zone pixel,, save the data in the Excel table 2 as the ulcer region area.
2.4.3 data processing
The ratio of data in data and the table 1 is the number percent that the ulcer region area accounts for the stomach lining region area in the calculating Excel table 2.The data SPSS16.0 software processes, result represent that with mean and standard deviation group difference relatively adopts one-way analysis of variance, and the result sees table 2:
Table 2 gray level image assay UI result of calculation (± s)
| ? | Sample size (n) | UI (mm) | Inhibiting rate (%) |
| Model group | 8 | 8.89±3.16 | - |
| The Omeprazole group | 8 | 1.36±0.39 | 84.70* |
| The energy-stagnation stomachache group | 8 | 2.14±0.98 | 75.93* |
Annotate: compare * P＜0.01 with model group
2.5 correlation analysis
2.5.1 the correlation analysis between two kinds of methods
Utilize the SPSS16.0 statistical software that A method and B method 2 groups of data of gained after logarithm transforms are carried out correlation analysis; Calculate Pearson simple correlation coefficient r=0.800; Two-sided test P=0.000 on 0.01 level, has significant positive correlation between two kinds of methods.
2.5.2 the similarity analysis between two kinds of methods
Utilize the SPSS16.0 statistical software that A method and B method 2 groups of data of gained after logarithm transforms are carried out similarity analysis, press included angle cosine and calculate gained likeness coefficient r=0.946, show between two kinds of methods to have very strong similarity.
3 conclusions
Gastric ulcer model evaluation method and the classic method analyzed based on gray level image compare, and the result has good correlativity and similarity, can be used for the evaluation of gastric ulcer model.
Description of drawings
Fig. 1 is former digital camera images acquired.
Fig. 2 is the gray level image after transforming.
Fig. 3 is the stomach lining area image.
Fig. 4 is the gastric ulcer area image.
Embodiment
A kind of gastric ulcer model evaluation method of analyzing based on gray level image comprises that mainly IMAQ, image transitions and data processing and UI calculate three steps.
(1), IMAQ: sample is positioned over the setting position in the camera bellows of fixed volume, fixed light source,, under the sample same distance, is taking pictures, gather colored (RGB) image again with IMAQ instrument fixed focal lengths such as digital cameras.
(2), image transitions: utilizing image analysis software such as Image J, the colour that collects (RGB) image transitions is become the gray level image of 8-bit form, is unit with the pixel, chooses, adds up the summation of stomach lining zone and gastric ulcer area pixel point respectively.
(3), data processing and UI calculate: with the summation of stomach lining zone and gastric ulcer area pixel point; Area as two zones; Calculate the number percent that the gastric ulcer region area accounts for the stomach lining region area, and estimate gastric ulcer model as UI with this.
Claims (1)
1. a gastric ulcer model evaluation method of analyzing based on gray level image is characterized in that, comprises that IMAQ, image transitions and data processing and UI calculate three steps:
(1), IMAQ: sample is positioned over the setting position in the camera bellows of fixed volume, fixed light source,, under the sample same distance, is taking pictures, gather coloured image again with IMAQ instrument fixed focal lengths such as digital cameras;
(2), image transitions: utilizing image analysis software such as Image J, convert the coloured image that collects the gray level image of 8-bit form to, is unit with the pixel, chooses, adds up the summation of stomach lining zone and gastric ulcer area pixel point respectively;
(3), data processing and UI calculate: with the summation of stomach lining zone and gastric ulcer area pixel point; Area as two zones; Calculate the number percent that the gastric ulcer region area accounts for the stomach lining region area, and estimate gastric ulcer model as UI with this.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101553112B1 (en) * | 2013-08-16 | 2015-09-15 | 경북대학교 산학협력단 | Method for Measuring of Gastric Mucous Membrane damage |
| CN105044104A (en) * | 2015-06-01 | 2015-11-11 | 上海交通大学 | Stress test system based on digital image correlation method and application thereof |
| CN106691821A (en) * | 2017-01-20 | 2017-05-24 | 中国人民解放军第四军医大学 | Infrared fast healing device of locally-supplying-oxygen-to-wound type |
| CN110570391A (en) * | 2019-07-24 | 2019-12-13 | 天津科技大学 | Image analysis method for spray freezing coating effect based on Image J |
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| CN1367468A (en) * | 2002-03-25 | 2002-09-04 | 北京工业大学 | Cornea focus image cutting method based on K-mean cluster and information amalgamation |
| CN101534698A (en) * | 2006-09-27 | 2009-09-16 | 乔治亚技术研究公司 | Systems and methods for the measurement of surfaces |
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| CN1367468A (en) * | 2002-03-25 | 2002-09-04 | 北京工业大学 | Cornea focus image cutting method based on K-mean cluster and information amalgamation |
| CN101534698A (en) * | 2006-09-27 | 2009-09-16 | 乔治亚技术研究公司 | Systems and methods for the measurement of surfaces |
Non-Patent Citations (2)
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| WANG SHUAI 等: "Evaluation of gastric ulcer model based on gray-scale image analysis", 《AFRICAN JOURNAL OF MICROBIOLOGY RESEARCH》 * |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101553112B1 (en) * | 2013-08-16 | 2015-09-15 | 경북대학교 산학협력단 | Method for Measuring of Gastric Mucous Membrane damage |
| CN105044104A (en) * | 2015-06-01 | 2015-11-11 | 上海交通大学 | Stress test system based on digital image correlation method and application thereof |
| CN106691821A (en) * | 2017-01-20 | 2017-05-24 | 中国人民解放军第四军医大学 | Infrared fast healing device of locally-supplying-oxygen-to-wound type |
| CN110570391A (en) * | 2019-07-24 | 2019-12-13 | 天津科技大学 | Image analysis method for spray freezing coating effect based on Image J |
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Application publication date: 20120725 |