A Quantification Approach of Uterine Peristalsis Propagated From the Cervix and the Fundus

Naziah Tasnim, Fahad Parvez Mahdi, S. Alam, N. Yagi, A. Nakashima, I. Komesu, Yoshimitsu Tokunaga, T. Sakumoto, S. Kobashi
{"title":"A Quantification Approach of Uterine Peristalsis Propagated From the Cervix and the Fundus","authors":"Naziah Tasnim, Fahad Parvez Mahdi, S. Alam, N. Yagi, A. Nakashima, I. Komesu, Yoshimitsu Tokunaga, T. Sakumoto, S. Kobashi","doi":"10.1109/ICMLC48188.2019.8949268","DOIUrl":null,"url":null,"abstract":"Uterine peristalsis, which occurs in waves in the uterine region, is one of the fundamental behaviours of uterus in a non-pregnant woman. There are two types of waves in uterine peristalsis; one propagates from the cervix, and the other one does from the fundus. Cine MR images can investigate the wave like uterine peristalsis. Hence, the goal of this study is to quantify the number of peristalsis propagated from the cervix or the fundus using the cine MR images. The proposed method is based on image registration and frequency analysis. The method quantifies the uterine peristalsis by analyzing the frequency spectrum of waves at the cervix and at the fundus individually. The correlation coefficient of the number of peristalsis between visual inspection and the proposed method was 0.9799 at the cervix, and was 0.9999 at the fundus. Thus, this study accurately estimated the number of peristalsis in order to support the diagnosis of the female infertility.","PeriodicalId":221349,"journal":{"name":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Machine Learning and Cybernetics (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC48188.2019.8949268","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Uterine peristalsis, which occurs in waves in the uterine region, is one of the fundamental behaviours of uterus in a non-pregnant woman. There are two types of waves in uterine peristalsis; one propagates from the cervix, and the other one does from the fundus. Cine MR images can investigate the wave like uterine peristalsis. Hence, the goal of this study is to quantify the number of peristalsis propagated from the cervix or the fundus using the cine MR images. The proposed method is based on image registration and frequency analysis. The method quantifies the uterine peristalsis by analyzing the frequency spectrum of waves at the cervix and at the fundus individually. The correlation coefficient of the number of peristalsis between visual inspection and the proposed method was 0.9799 at the cervix, and was 0.9999 at the fundus. Thus, this study accurately estimated the number of peristalsis in order to support the diagnosis of the female infertility.
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
子宫蠕动从子宫颈和眼底扩散的量化方法
子宫蠕动是非孕妇子宫的基本行为之一,在子宫区域呈波浪状发生。子宫蠕动有两种波;一个从子宫颈传播,另一个从眼底传播。磁共振成像可观察子宫蠕动样波。因此,本研究的目的是利用电影MR图像量化从子宫颈或眼底传播的蠕动数量。该方法基于图像配准和频率分析。该方法通过分别分析子宫颈和眼底波的频谱来量化子宫蠕动。目测与本方法的相关系数在子宫颈为0.9799,眼底为0.9999。因此,本研究准确地估计了蠕动次数,以支持女性不孕症的诊断。
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
An Empirical Study on the Classification of Chinese News Articles by Machine Learning and Deep Learning Techniques Posture Estimation Method Using Cushion Type Seat Pressure Sensor Advanced Convolutional Neural Network With Feedforward Inhibition Utilization of the Infrared Image Capturing Combustion State for Estimating the Steam Flow Aming to Stabilize Garbage Power Generation Domain Adaption for Facial Expression Recognition
×
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