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Chromosome metaphase cell image quality evaluation system and method

An image quality assessment, image quality technology, applied in the field of chromosome analysis, can solve problems such as increasing the difficulty of analysis

Pending Publication Date: 2021-03-12
SOUTH CHINA NORMAL UNIVERSITY
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Problems solved by technology

However, due to the non-rigid nature of chromosomes, the chromosomes in the cell image will be in various shapes and shapes, and randomly overlap and cross together, thus bringing great challenges to the analysis of chromosome karyotype. In the process, the image quality is mainly evaluated based on the analyst's personal experience, which leads to the accuracy of the karyotype analysis results and increases the difficulty of subsequent analysis

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  • Chromosome metaphase cell image quality evaluation system and method
  • Chromosome metaphase cell image quality evaluation system and method

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[0044] Chromosome example: It refers to a chromosome one by one. Normal human cells contain 23 pairs of chromosomes, including 22 pairs of autosomes, numbered from 1 to 22. In each pair of chromosomes, one is inherited from the mother and the other is inherited from the father. In a pair of sex chromosomes, women have two Xs, inherited from their mother and father, and men have one X (inherited from their mother) and one Y (inherited from their father).

[0045] Chromosomal karyotype analysis: it refers to the process of segmenting the chromosome metaphase cell image, obtaining all chromosome instances, and then sorting according to the chromosome strip information to generate the chromosomal karyotype map. Chromosome karyotype analysis mainly includes two steps, chromosome instance segmentation and chromosome classification. The main obstacle restricting the karyotyping of chromosomes lies in the separation or segmentation of overlapping and contacting chromosome clusters. ...

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Abstract

The invention discloses a chromosome metaphase cell image quality evaluation system and method. The system comprises an obtaining unit which is used for obtaining a plurality of chromosome metaphase cell images as a first image; a first calculation unit which is used for respectively calculating a chromosome cluster quantity score, a non-cluster chromosome instance quantity score, a noise quantityscore and an image definition score of the first image; a second calculation unit which is used for calculating an image quality total score of the first image according to the chromosome cluster number score, the non-cluster chromosome instance number score, the noise amount score and the image definition score; and a result generation unit which is used for generating an evaluation result of the first image according to the image quality total score. The evaluation result skill generated by the result generation unit effectively reduces the difficulty of subsequent chromosome karyotype analysis and improves the analysis accuracy. The system and method can be widely applied to the technical field of chromosome analysis.

Description

technical field [0001] The invention relates to the technical field of chromosome analysis, in particular to a system and method for evaluating the image quality of chromosome metaphase cells. Background technique [0002] Since chromosome is an important carrier of human genetic information, chromosome analysis is the most important and important way to diagnose congenital genetic diseases. In prenatal diagnosis, karyotype analysis is used to screen pregnant embryos for congenital genetic diseases. Chromosome karyotype analysis is mainly to take the cell image of the metaphase chromosome through the electron microscope, then segment the chromosome image to obtain 46 chromosome instances, and finally classify the obtained chromosome instances to generate the cell chromosome karyotype map. However, due to the non-rigid nature of chromosomes, the chromosomes in the cell image will be in various shapes and shapes, and randomly overlap and cross together, thus bringing great ch...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10061G06T2207/30168
Inventor 赵淦森林成创李壮伟黄润桦彭璟吴清蓝罗浩宇李双印樊小毛唐华张奇之杨晋吉陈少洁易序晟
Owner SOUTH CHINA NORMAL UNIVERSITY
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