Method and system for detecting abnormal rate of urine erythrocyte

Abstract

The invention belongs to the technical field of medical science, and discloses a method and a system for detecting abnormal rate of urine erythrocyte. The method for detecting abnormal rate of urine erythrocyte comprises the following steps: firstly sample image acquisition and image processing are carried out; image reading and segmentation are executed; impurities are eliminated; marking is carried out; positioning is carried out; diagnosis and reporting are carried out in order to realize deformity form classification and abnormal rate calculation of urine erythrocyte. The system is stable,and continuous and error-free operation is more than or equal to 200 hours; the method and the system have high accuracy for identification of deform urine erythrocyte, and misreporting rate is lessthan 5%; the system can be used for treating some special cases, such as serious cytoadherence (multiple cells are overlapped together), or multiple cells in edges of acquired pictures or incomplete present of cells; the longest time consuming does not exceed 60 seconds from beginning of image acquisition to ending of analysis and reporting; the system has the advantages of simple interface, easyoperation, and good humanization.

Description

technical field [0001] The invention belongs to the field of medical technology, and in particular relates to a method and system for detecting abnormality rate of urinary red blood cells. Background technique [0002] Urine erythrocyte morphology examination is known as "in vitro kidney biopsy", which is an extremely valuable laboratory test. In an earlier study, Kurt reported that using urine erythrocyte deformity characteristics and the size of the deformity rate as the identification point, it was applied to the clinical diagnosis of glomerular diseases, and the accuracy rate was above 90%. In recent years, the statistical results of Chinese nephrologist Li Puqing and others have shown that the specificity of urine red blood cell abnormality analysis in the diagnosis of glomerular diseases is as high as 96.7%. As early as 1992, the nephrology professional group of the Chinese Journal of Internal Medicine editorial committee divided primary glomerular diseases into 5 typ...

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Problems solved by technology

[0006] Although the specificity of artificial phase-contrast microscope observation is high, there are many problems in its clinical application: first, the artificial microscope observation is time-consuming and laborious, the observation range is small, the error is large, the measurement results vary from person to person, and it is difficult to unify; secondly, practitioners The training time for personnel is long, and it takes 1-2 years and tens of thousands of repeated observations before they can be proficient; third, manual observation is inefficient and time-consuming. It takes 5-10 hours for each sample to start from observation to hand-written report. minute

[0007] The automatic analysis system represented by the UF1000i urine sediment automatic analyzer from Japan sysmx company also has many problems in clinical application: first, the specificity is lower than 80%, which cannot effectively meet the needs of clinical diagnosis and treatment; second, There are problems of expensive instruments, high inspection costs, and increased financial burden on patients; third, the detection technology is not mature enough, and the detection principle is flawed, so it can only be used as a screening tool and cannot replace artificial phase contrast microscope detection

The reasons are as follows: ①The test objects include too many contents, including white blood cells, casts, etc. in addition to red blood cells, resulting in a decrease in test specificity; ②Because of the limitation of principles and methods, it is difficult to exclude other substances in urine (urine bacteria, crystal , yeast, etc.) interference; ③The equipment is expensive, resulting in high testing costs and increasing the financial burden on patients, so it is mostly used in scientific research

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