从4D经食管超声心动图到患者特异性二尖瓣模型

Patrick K. Carnahan, E. Chen, Terry M. Peters
{"title":"从4D经食管超声心动图到患者特异性二尖瓣模型","authors":"Patrick K. Carnahan, E. Chen, Terry M. Peters","doi":"10.31256/hsmr2023.77","DOIUrl":null,"url":null,"abstract":"Mitral valve regurgitation is the most common valvular disease, affecting 10% of the population over 75 years old [1]. Current standard of care diagnostic imaging for mitral valve procedures primarily consists of trans- esophageal echocardiography (TEE) as it provides a clear view of the mitral valve leaflets and surrounding tissue. Heart simulator technology has been adopted widely by both industry for evaluation of technolo- gies for imaging heart valves [2], and academia for the assessment of modelled heart valves [3]. Recently, developments have been made on a workflow to cre- ate 3D, patient-specific valve models directly from trans-esophageal echocardiography (TEE) images. When viewed dynamically using TEE within a pulse duplicator simulator, it has been demonstrated that these models result in pathology-specific TEE images similar to those acquired from the patient’s valves in-vivo [4]. However, producing a mesh model of the valve geometry from TEE imaging remains a challenge. Previously, produc- ing a valve model included a labor intensive series of steps including manual leaflet segmentation, and computer-aided design (CAD) manipulation to derive a 3D printable mold from a raw segmentation. Our objective is to automate the workflow and reduce the labor requirements for producing these valve models. To address the leaflet segmentation problem, we developed DeepMitral, a fully automatic valve leaflet segmentation tool. Following leaflet segmentation, we have developed tools for automatically deriving mesh models that can easily be integrated into a mold base.","PeriodicalId":129686,"journal":{"name":"Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023","volume":"176 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"From 4D Transesophageal Echocardiography to Patient Specific Mitral Valve Models\",\"authors\":\"Patrick K. Carnahan, E. Chen, Terry M. Peters\",\"doi\":\"10.31256/hsmr2023.77\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mitral valve regurgitation is the most common valvular disease, affecting 10% of the population over 75 years old [1]. Current standard of care diagnostic imaging for mitral valve procedures primarily consists of trans- esophageal echocardiography (TEE) as it provides a clear view of the mitral valve leaflets and surrounding tissue. Heart simulator technology has been adopted widely by both industry for evaluation of technolo- gies for imaging heart valves [2], and academia for the assessment of modelled heart valves [3]. Recently, developments have been made on a workflow to cre- ate 3D, patient-specific valve models directly from trans-esophageal echocardiography (TEE) images. When viewed dynamically using TEE within a pulse duplicator simulator, it has been demonstrated that these models result in pathology-specific TEE images similar to those acquired from the patient’s valves in-vivo [4]. However, producing a mesh model of the valve geometry from TEE imaging remains a challenge. Previously, produc- ing a valve model included a labor intensive series of steps including manual leaflet segmentation, and computer-aided design (CAD) manipulation to derive a 3D printable mold from a raw segmentation. Our objective is to automate the workflow and reduce the labor requirements for producing these valve models. To address the leaflet segmentation problem, we developed DeepMitral, a fully automatic valve leaflet segmentation tool. Following leaflet segmentation, we have developed tools for automatically deriving mesh models that can easily be integrated into a mold base.\",\"PeriodicalId\":129686,\"journal\":{\"name\":\"Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023\",\"volume\":\"176 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31256/hsmr2023.77\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 15th Hamlyn Symposium on Medical Robotics 2023","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31256/hsmr2023.77","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

二尖瓣反流是最常见的瓣膜疾病,影响10%的75岁以上人群。目前二尖瓣手术的标准诊断成像主要由经食管超声心动图(TEE)组成,因为它提供了二尖瓣小叶和周围组织的清晰视图。心脏模拟器技术已被工业界广泛应用于评估心脏瓣膜成像技术[2],学术界广泛应用于评估模拟心脏瓣膜[3]。最近,通过食管超声心动图(TEE)图像直接创建3D患者特异性瓣膜模型的工作流程取得了进展。当在脉冲复制器模拟器中使用TEE动态观察时,已经证明这些模型产生的病理特异性TEE图像与从患者瓣膜体内bb0获得的图像相似。然而,从TEE成像中产生阀门几何形状的网格模型仍然是一个挑战。在此之前,制作阀门模型需要一系列劳动密集型步骤,包括手动叶片分割和计算机辅助设计(CAD)操作,以从原始分割中获得3D打印模具。我们的目标是自动化工作流程,减少生产这些阀门模型的劳动力需求。为了解决小叶分割问题,我们开发了DeepMitral,一个全自动的瓣膜小叶分割工具。在传单分割之后,我们开发了自动导出网格模型的工具,这些模型可以很容易地集成到模具基础中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From 4D Transesophageal Echocardiography to Patient Specific Mitral Valve Models
Mitral valve regurgitation is the most common valvular disease, affecting 10% of the population over 75 years old [1]. Current standard of care diagnostic imaging for mitral valve procedures primarily consists of trans- esophageal echocardiography (TEE) as it provides a clear view of the mitral valve leaflets and surrounding tissue. Heart simulator technology has been adopted widely by both industry for evaluation of technolo- gies for imaging heart valves [2], and academia for the assessment of modelled heart valves [3]. Recently, developments have been made on a workflow to cre- ate 3D, patient-specific valve models directly from trans-esophageal echocardiography (TEE) images. When viewed dynamically using TEE within a pulse duplicator simulator, it has been demonstrated that these models result in pathology-specific TEE images similar to those acquired from the patient’s valves in-vivo [4]. However, producing a mesh model of the valve geometry from TEE imaging remains a challenge. Previously, produc- ing a valve model included a labor intensive series of steps including manual leaflet segmentation, and computer-aided design (CAD) manipulation to derive a 3D printable mold from a raw segmentation. Our objective is to automate the workflow and reduce the labor requirements for producing these valve models. To address the leaflet segmentation problem, we developed DeepMitral, a fully automatic valve leaflet segmentation tool. Following leaflet segmentation, we have developed tools for automatically deriving mesh models that can easily be integrated into a mold base.
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信