Reconstruction of stomach geometry using magnetic source localization.

Chad E Eichler, Leo K Cheng, Niranchan Paskaranandavadivel, Saeed Alighaleh, Timothy R Angeli-Gordon, Peng Du, Leonard A Bradshaw, Recep Avci
{"title":"Reconstruction of stomach geometry using magnetic source localization.","authors":"Chad E Eichler,&nbsp;Leo K Cheng,&nbsp;Niranchan Paskaranandavadivel,&nbsp;Saeed Alighaleh,&nbsp;Timothy R Angeli-Gordon,&nbsp;Peng Du,&nbsp;Leonard A Bradshaw,&nbsp;Recep Avci","doi":"10.1109/EMBC46164.2021.9630644","DOIUrl":null,"url":null,"abstract":"<p><p>Routine diagnosis of gastric motility disorders represents a significant problem to current clinical practice. The non-invasive electrogastrogram (EGG) and magnetogastrogram (MGG) enable the assessment of gastric slow wave (SW) dysrhythmias that are associated with motility disorders. However, both modalities lack standardized methods for reliably detecting patterns of SW activity. Subject-specific anatomical information relating to the geometry of the stomach and its position within the torso have the potential to aid the development of relations between SWs and far-fields. In this study, we demonstrated the feasibility of using magnetic source localization to reconstruct the geometry of an anatomically realistic 3D stomach model. The magnetic fields produced by a small (6.35 × 6.35 mm) N35 neodymium magnet sequentially positioned at 64 positions were recorded by an array of 27 magnetometers. Finally, the magnetic dipole approximation and a particle swarm optimizer were used to estimate the position and orientation of the permanent magnet. Median position and orientation errors of 3.8 mm and 7.3° were achieved. The estimated positions were used to construct a surface mesh, and the Hausdorff Distance and Average Hausdorff Distance dissimilarity metrics for the reconstructed and ground-truth models were 11.6 mm and 2.4 mm, respectively. The results indicate that source localization using the magnetic dipole model can successfully reconstruct the geometry of the stomach.</p>","PeriodicalId":72237,"journal":{"name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","volume":" ","pages":"4234-4237"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMBC46164.2021.9630644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Routine diagnosis of gastric motility disorders represents a significant problem to current clinical practice. The non-invasive electrogastrogram (EGG) and magnetogastrogram (MGG) enable the assessment of gastric slow wave (SW) dysrhythmias that are associated with motility disorders. However, both modalities lack standardized methods for reliably detecting patterns of SW activity. Subject-specific anatomical information relating to the geometry of the stomach and its position within the torso have the potential to aid the development of relations between SWs and far-fields. In this study, we demonstrated the feasibility of using magnetic source localization to reconstruct the geometry of an anatomically realistic 3D stomach model. The magnetic fields produced by a small (6.35 × 6.35 mm) N35 neodymium magnet sequentially positioned at 64 positions were recorded by an array of 27 magnetometers. Finally, the magnetic dipole approximation and a particle swarm optimizer were used to estimate the position and orientation of the permanent magnet. Median position and orientation errors of 3.8 mm and 7.3° were achieved. The estimated positions were used to construct a surface mesh, and the Hausdorff Distance and Average Hausdorff Distance dissimilarity metrics for the reconstructed and ground-truth models were 11.6 mm and 2.4 mm, respectively. The results indicate that source localization using the magnetic dipole model can successfully reconstruct the geometry of the stomach.

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
利用磁源定位重建胃的几何形状。
胃运动障碍的常规诊断是当前临床实践中的一个重要问题。无创胃电图(EGG)和胃磁图(MGG)可以评估与运动障碍相关的胃慢波(SW)心律失常。然而,这两种方法都缺乏标准化的方法来可靠地检测SW活动模式。与胃的几何形状及其在躯干内的位置有关的特定受试者解剖信息有可能有助于发展SWs和远场之间的关系。在这项研究中,我们证明了使用磁源定位重建解剖逼真的三维胃模型的几何结构的可行性。由27个磁力计组成的阵列记录了一个小的(6.35 × 6.35 mm) N35钕磁铁依次放置在64个位置所产生的磁场。最后,利用磁偶极子近似和粒子群优化算法对永磁体的位置和方向进行估计。中位误差为3.8 mm,中位误差为7.3°。利用估计的位置构建表面网格,重建模型和真实模型的Hausdorff距离和平均Hausdorff距离不相似度分别为11.6 mm和2.4 mm。结果表明,利用磁偶极子模型进行源定位可以成功地重建胃的几何形状。
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
CiteScore
0.80
自引率
0.00%
发文量
0
期刊最新文献
Multi-dataset Collaborative Learning for Liver Tumor Segmentation. A Modified Reference Scan Method for MR Image Inhomogeneity Correction. Muscle activation of lower limb during walking in elderly individuals with sarcopenia: A pilot study. A Multi-branch Attention-based Deep Learning Method for ALS Identification with sMRI Data. Narrowband-Enhanced Method for Improving Frequency Recognition in SSVEP-BCIs.
×
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