Correlation Study of MRI Area of Lumbar Disc Degeneration with Pfirrmann Grading

Zunhai Gao, Hongtao Gao, Yuzhan Qiu
{"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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
腰椎间盘退变MRI面积与Pfirrmann分级的相关性研究
研究改进的Pfirrmann分级与腰椎间盘退变MRI面积的相关性,为腰椎间盘退变的诊断分级提供定量方法。本文收集了60例不同程度腰椎间盘退变的MRI资料。利用阈值分割技术对MRI图像中的目标区域进行分割,然后根据图像灰度直方图计算分割阈值,然后根据阈值对图像进行分割,通过最大化之间的类间方差来选择阈值,然后计算出MRI图像中椎间盘高度和椎间孔面积。结合医生的诊断,对60例患者进行了改进的Pfirmann分类。根据MRI影像椎间孔面积与修正pfirmann分级的对应关系可知,修正pfirmann分级越高,椎间盘椎间孔面积越小。MRI图像中椎间孔面积与改进的Pfirmann分类有一定的相关性。MRI图像中腰椎间孔面积为腰椎间盘退变的诊断和分类提供了定量的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Application of Artificial Intelligence Technology in the Field of Traditional Chinese Medicine Breast Density Segmentation in Mammograms Based on Dual Attention Mechanism Standardization of clinical terminology based on hybrid recall and Ernie A Study on the Demand and the Influencing Factors of Smart Healthcare Services for the Elderly in Harbin: Based on The Anderson Health Behaviour Model The spatial migration pattern of Hg content for the prediction of disease during a long time
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1