{"title":"Correlation Study of MRI Area of Lumbar Disc Degeneration with Pfirrmann Grading","authors":"Zunhai Gao, Hongtao Gao, Yuzhan Qiu","doi":"10.1145/3570773.3570852","DOIUrl":null,"url":null,"abstract":"The correlation between the modified Pfirrmann grading and the MRI area of lumbar disc degeneration is investigated, which provide a quantitative method for the diagnostic grading of lumbar disc degeneration. MRI data of 60 cases with different degrees of lumbar disc degeneration are collected. Use the threshold segmentation technology to divide the target area in the MRI image, then calculate the segmentation threshold based on the image gray histogram, then segment the image according to the threshold, select the threshold by maximizing the interclass variance between, and then calculate the height of the intervertebral disc and the area of the intervertebral foramen in the MRI image. Combined with the doctor's diagnosis, the improved Pfirmann classification of 60 patients is obtained. According to the corresponding relationship between the intervertebral foramen area of MRI images and the modified Pfirrmann classification, the higher the modified pfirmann classification, the smaller the intervertebral foramen area of intervertebral discs. There is a certain correlation between the area of intervertebral foramen in MRI images and the modified Pfirmann classification. The area of lumbar intervertebral foramen in MRI images provides a quantitative method for the diagnosis and classification of lumbar disc degeneration.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3570773.3570852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The correlation between the modified Pfirrmann grading and the MRI area of lumbar disc degeneration is investigated, which provide a quantitative method for the diagnostic grading of lumbar disc degeneration. MRI data of 60 cases with different degrees of lumbar disc degeneration are collected. Use the threshold segmentation technology to divide the target area in the MRI image, then calculate the segmentation threshold based on the image gray histogram, then segment the image according to the threshold, select the threshold by maximizing the interclass variance between, and then calculate the height of the intervertebral disc and the area of the intervertebral foramen in the MRI image. Combined with the doctor's diagnosis, the improved Pfirmann classification of 60 patients is obtained. According to the corresponding relationship between the intervertebral foramen area of MRI images and the modified Pfirrmann classification, the higher the modified pfirmann classification, the smaller the intervertebral foramen area of intervertebral discs. There is a certain correlation between the area of intervertebral foramen in MRI images and the modified Pfirmann classification. The area of lumbar intervertebral foramen in MRI images provides a quantitative method for the diagnosis and classification of lumbar disc degeneration.