{"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}
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.