Volumetric analysis of maxillary sinuses for gender determination: Manual vs.3D segmentation.

IF 1.9 Bioinformation Pub Date : 2024-08-31 eCollection Date: 2024-01-01 DOI:10.6026/973206300200882
Naveen Kumar Shetty, Bhavika Pol Vhatkar, Shweta Rode, Abhishek Mukherjee
{"title":"Volumetric analysis of maxillary sinuses for gender determination: Manual vs.3D segmentation.","authors":"Naveen Kumar Shetty, Bhavika Pol Vhatkar, Shweta Rode, Abhishek Mukherjee","doi":"10.6026/973206300200882","DOIUrl":null,"url":null,"abstract":"<p><p>The effectiveness of manual calculations versus 3D segmentation techniques in volumetric analysis of maxillary sinuses for gender determination is of interest. Maxillary sinuses, which vary anatomically due to factors like age, ethnicity, and gender, are crucial in forensic and anthropological contexts. Traditional methods, relying on two-dimensional imaging, are often time-consuming and prone to errors, whereas 3D segmentation offers a more precise and efficient approach. This research evaluates both methods in terms of reliability, accuracy, and practical use, potentially influencing their application in clinical and forensic settings. The findings may also enhance understanding of anatomical variations in maxillary sinuses across populations, contributing to more accurate gender determination.</p>","PeriodicalId":8962,"journal":{"name":"Bioinformation","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11471409/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.6026/973206300200882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The effectiveness of manual calculations versus 3D segmentation techniques in volumetric analysis of maxillary sinuses for gender determination is of interest. Maxillary sinuses, which vary anatomically due to factors like age, ethnicity, and gender, are crucial in forensic and anthropological contexts. Traditional methods, relying on two-dimensional imaging, are often time-consuming and prone to errors, whereas 3D segmentation offers a more precise and efficient approach. This research evaluates both methods in terms of reliability, accuracy, and practical use, potentially influencing their application in clinical and forensic settings. The findings may also enhance understanding of anatomical variations in maxillary sinuses across populations, contributing to more accurate gender determination.

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
用于性别鉴定的上颌窦容积分析:手动与三维分割
在对上颌窦进行容积分析以确定性别时,人工计算与三维分割技术的效果对比令人感兴趣。上颌窦因年龄、种族和性别等因素而存在解剖学上的差异,在法医和人类学方面至关重要。传统方法依赖于二维成像,往往耗时且容易出错,而三维分割则提供了一种更精确、更高效的方法。这项研究对这两种方法的可靠性、准确性和实用性进行了评估,可能会影响它们在临床和法医环境中的应用。研究结果还可能加深人们对不同人群上颌窦解剖学差异的了解,有助于更准确地确定性别。
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
Bioinformation
Bioinformation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
自引率
0.00%
发文量
128
期刊最新文献
Probiotics, tetracycline fibres and chlorhexidine gel's effectiveness in treating chronic periodontitis as a supplement to scaling and root planning. Psychological and physical impact of wearing personal protective equipment among health care workers during the COVID-19 pandemic. Seroprevalence of HCV infection among Indian patients with hemodialysis. SHBG and Insulin resistance - Nexus revisited. Volumetric analysis of maxillary sinuses for gender determination: Manual vs.3D segmentation.
×
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