Method for extracting binuclear lymphocyte accurately and quickly in CB method micronucleated cell image

A technology of binuclear lymphocytes and lymphocytes, which is applied in image analysis, image data processing, microbial measurement/inspection, etc., can solve the problem that the double threshold segmentation method is difficult to accurately segment the cytoplasmic information, and affects the accurate counting and segmentation of the micronucleus rate. Algorithms should not be used, etc.

Inactive Publication Date: 2010-02-03
INST OF RADIATION MEDICINE ACAD OF MILITARY MEDICAL SCI OF THE PLA
View PDF0 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This will lead to miscounting of binucleated lymphocytes (false negative), thus affecting the accurate counting of micronucleus rate
[0008] (2) Unable to identify dual cores with adhesion, see figure 1 (d), however, it is relatively common for binuclear cells to have adhesions in lymphocytes, and it occupies a certain proportion of binuclear cells. If it cannot be identified, it will affect the counting statistics
[0014] (1) If the method I is used, the processing speed is faster, but because only the information of the nucleus (micronucleus) is available in this method, but no cytoplasmic information (ie, the outline of the cell) is available, there are serious defects, and it is easy to produce false count;
[0015] (2) If method II is adopted, in theory, the information of cytoplasm and nucleus can be used to distinguish binuclear lymphocytes at the same time. Compared with method I, the identification should be more accurate, but it is difficult to accurately segment the information of cytoplasm by the dual threshold segmentation method;
[0016] (3) Considering the requirements of rapid and automatic analysis of micronucleus images, other more complex segmentation algorithms should not be used

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for extracting binuclear lymphocyte accurately and quickly in CB method micronucleated cell image
  • Method for extracting binuclear lymphocyte accurately and quickly in CB method micronucleated cell image
  • Method for extracting binuclear lymphocyte accurately and quickly in CB method micronucleated cell image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The realization of relevant algorithm among the present invention is realized in MATLAB7.0, and implementation steps are as follows:

[0064] 1 Algebraic subtraction

[0065] MN0=imread('Name.jpg');% read in micronucleus image Name.jpg

[0066] MN_rb=[MN0(:,:,1)]-[MN0(:,:,3)];% algebraic subtraction, R component-B component

[0067] 2 Median filtering

[0068] MN_m=medfilt2(MN_rb, [55]); % performs median filtering on MN_rb, 5×5 window

[0069] 3 Morphological filtering

[0070] sel=strel('disk', 6); % create a disk structure element with r=6

[0071] MN_close=imclose(MN_m, se1);% Morphological closing operation

[0072] MN_open=imopen(MN_close, se1);% open operation

[0073] se2 = strel('disk', 1); % create a disk structure element with r=1

[0074] SM=imerode(MN_open, se2);% boundary smoothing, corrosion operation once

[0075] SM1=imerode(SM, se2); % re-corrode operation 1 time

[0076] 4Remove border target

[0077] SM2 = imclearborde(~SM 1); % remove bord...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates a method for extracting binuclear lymphocyte region accurately, quickly and automatically in CB method micronucleated cell image in the field of radiation biodosimetry; the method comprises the following steps: performing algebraic subtraction (component R-component B) to a collected micronucleated cell image MN_rgb in RGB format with a size of 1500*1000pixel to obtain an image MN_rb, performing median filtering (5*5) and morphologic filtering (disk, r=6) to the image MN_rb and eliminating the region with adhered border to obtain an image MN_m, then using a roundness threshold and a grey level threshold to screen independent lymphocyte in a target area that Area is a member of [1000pixel, 3500pixel], then using the roundness threshold, the grey level threshold and theextension degree to screen cells in series connection in a target area that Area is a member of [3500pixel, 8000pixel] and separating, and judging whether the independent or separated lymphocyte is binuclear lymphocyte. The method designed by the invention realizes the automatic extraction of binuclear lymphocyte in CB method micronucleated cell image, has the advantages of accurate and rapid extraction and the like and takes a key step for researching the automatical analysis system of CB method micronucleated cell image.

Description

technical field [0001] The invention relates to the automatic detection of micronucleus (Micronucleus, MN) in the field of radiation biological dosimetry, which is a method for extracting the target area in the computer automatic analysis of micronucleus images, especially in the field of radiation medicine, which can be used as a radiation biological dosimeter Accurate, rapid, and automatic extraction of binucleated lymphocytes from micronucleus images by the CB method. technical background [0002] The main analysis index of the micronucleus test of human peripheral blood lymphocyte cytokinesis block (Cytokinesis-block, CB method) is the micronucleus rate, and the calculation formula is: p(‰)=x / n×1000‰, where p is the number of micronuclei per thousand binuclear lymphocytes; n is the number of observed binuclear lymphocytes; x is the number of micronuclei contained in n binuclear lymphocytes. Among them, the accurate and rapid extraction of binucleated lymphocyte regions ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/60C12Q1/02
Inventor 闫学昆陈英杜杰张学清骆亿生曹珍山
Owner INST OF RADIATION MEDICINE ACAD OF MILITARY MEDICAL SCI OF THE PLA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products