多发性硬化症MRI脊髓分割方法的对比研究

Besma Mnassri, M. Sahnoun, A. Hamida
{"title":"多发性硬化症MRI脊髓分割方法的对比研究","authors":"Besma Mnassri, M. Sahnoun, A. Hamida","doi":"10.1109/ATSIP49331.2020.9231790","DOIUrl":null,"url":null,"abstract":"Among neurological diseases, Multiple Sclerosis (MS) is the leading cause of disability in young adults. Several researches have been carried out to explore this disease and detect MS lesions in Magnetic Resonance (MR) images. In fact, lesions segmentation in MR images is very important for accurate diagnosis, adequate treatment and for monitoring the patient with MS. Spinal cord (SC) atrophy occurs at the onset of MS and there is a correlation between atrophy and disability development. Generally, Magnetic Resonance Imaging (MRI) is the most sensitive method, which allows the visualization of demyelination plaques and the quantification of spinal cord atrophy. Detection and quantification of SC atrophy in MRI images are the key to the assessment of the states of MS patients. In this paper, we present a comparative study between different spinal cord segmentation methods aiming to quantify spinal cord atrophy.","PeriodicalId":384018,"journal":{"name":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Comparison Study for Spinal Cord Segmentation Methods aiming to detect SC Atrophy in MRI images: case of Multiple Sclerosis\",\"authors\":\"Besma Mnassri, M. Sahnoun, A. Hamida\",\"doi\":\"10.1109/ATSIP49331.2020.9231790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Among neurological diseases, Multiple Sclerosis (MS) is the leading cause of disability in young adults. Several researches have been carried out to explore this disease and detect MS lesions in Magnetic Resonance (MR) images. In fact, lesions segmentation in MR images is very important for accurate diagnosis, adequate treatment and for monitoring the patient with MS. Spinal cord (SC) atrophy occurs at the onset of MS and there is a correlation between atrophy and disability development. Generally, Magnetic Resonance Imaging (MRI) is the most sensitive method, which allows the visualization of demyelination plaques and the quantification of spinal cord atrophy. Detection and quantification of SC atrophy in MRI images are the key to the assessment of the states of MS patients. In this paper, we present a comparative study between different spinal cord segmentation methods aiming to quantify spinal cord atrophy.\",\"PeriodicalId\":384018,\"journal\":{\"name\":\"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)\",\"volume\":\"91 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATSIP49331.2020.9231790\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATSIP49331.2020.9231790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在神经系统疾病中,多发性硬化症(MS)是导致年轻人残疾的主要原因。已经开展了一些研究来探索这种疾病并在磁共振(MR)图像中检测MS病变。事实上,MR图像中的病变分割对于MS患者的准确诊断、充分治疗和监测非常重要。脊髓(SC)在MS发病时出现萎缩,萎缩与残疾发展之间存在相关性。一般来说,磁共振成像(MRI)是最灵敏的方法,它可以可视化脱髓鞘斑块和量化脊髓萎缩。MRI图像中SC萎缩的检测和定量是评估MS患者状态的关键。在本文中,我们提出了不同的脊髓分割方法的比较研究,旨在量化脊髓萎缩。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Comparison Study for Spinal Cord Segmentation Methods aiming to detect SC Atrophy in MRI images: case of Multiple Sclerosis
Among neurological diseases, Multiple Sclerosis (MS) is the leading cause of disability in young adults. Several researches have been carried out to explore this disease and detect MS lesions in Magnetic Resonance (MR) images. In fact, lesions segmentation in MR images is very important for accurate diagnosis, adequate treatment and for monitoring the patient with MS. Spinal cord (SC) atrophy occurs at the onset of MS and there is a correlation between atrophy and disability development. Generally, Magnetic Resonance Imaging (MRI) is the most sensitive method, which allows the visualization of demyelination plaques and the quantification of spinal cord atrophy. Detection and quantification of SC atrophy in MRI images are the key to the assessment of the states of MS patients. In this paper, we present a comparative study between different spinal cord segmentation methods aiming to quantify spinal cord atrophy.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Automatic Recognition of Epileptiform EEG Abnormalities Using Machine Learning Approaches Generation of fuzzy evidence numbers for the evaluation of uncertainty measures Speckle Denoising of the Multipolarization Images by Hybrid Filters Identification of the user by using a hardware device Lightweight Hardware Architectures for the Piccolo Block Cipher in FPGA
×
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