{"72123":{"#nid":"72123","#data":{"type":"event","title":"David Icenogle - M.S. Thesis Presentation","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E:\u003Cbr \/\u003EAjit P. Yoganathan, PhD (\u003Cstrong\u003EAdvisor\u003C\/strong\u003E)\u003Cbr \/\u003EJarek Rossignac, PhD\u003Cbr \/\u003ERobert Guldberg, PhD\u003C\/p\u003E\u003Cp\u003EMitral valve (MV) disease is responsible for approximately 2,581 deaths and 41,000 hospital discharges each year in the US.\u0026nbsp; Mitral regurgitation (MR), retrograde blood from through the MV, is often an indicator of MV disease.\u0026nbsp; Surgical repair of MVs is preferred over replacement, as it is correlated with better patient quality of life.\u0026nbsp; However, replacement rates are still near 40% because MV surgical repair expertise is not spread across all hospitals.\u0026nbsp; In addition, 15-80% of surgical repair patients have recurrent MR within 10 years.\u0026nbsp; Quantitative patient-specific models could aid these issues by providing less experienced surgeons with additional information before surgery and a quantitative map of patient valve changes after surgery. \u0026nbsp;\u003Cbr \/\u003E\u003Cbr \/\u003EReal-time 3D echocardiography (RT3DE) can provide high quality 3D images of MVs and has been used to generate quantitative models previously.\u0026nbsp; However, there is not currently an efficient, dynamic, and validated method that is fast enough to use in common practice.\u0026nbsp; To fill this need, a tool to generate quantitative 3D models of mitral valve leaflets from RT3DE in an efficient manner was created.\u0026nbsp; Then an in vitro echocardiography correction scheme was devised and a dynamic, in vitro validation of the tool was performed.\u0026nbsp; The tool demonstrated that it could generate dynamic, complex MV geometry accurately and more efficiently than current methods available.\u0026nbsp; In addition, the ability for mesh interpolation techniques to reduce segmentation time was demonstrated.\u0026nbsp;\u0026nbsp; \u0026nbsp;\u003Cbr \/\u003E\u003Cbr \/\u003EThe tool generated by this study provides a method to quickly and accurately generate MV geometry that could be applied to dynamic patient specific geometry to aid surgical decisions and track patient geometry changes after surgery.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EDevelopment of Virtual Mitral Valve Leaflet Models from Three-Dimensional Echocardiography\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Development of Virtual Mitral Valve Leaflet Models from Three-Dimensional Echocardiography"}],"uid":"27547","created_gmt":"2011-10-31 14:48:04","changed_gmt":"2016-10-08 01:56:32","author":"Chris Ruffin","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2011-11-08T08:00:00-05:00","event_time_end":"2011-11-08T11:00:00-05:00","event_time_end_last":"2011-11-08T11:00:00-05:00","gmt_time_start":"2011-11-08 13:00:00","gmt_time_end":"2011-11-08 16:00:00","gmt_time_end_last":"2011-11-08 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"65448","name":"Bioengineering Graduate Program"}],"categories":[],"keywords":[{"id":"569","name":"bioengineering"},{"id":"14934","name":"david icenogle"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:chris.ruffin@ibb.gatech.edu\u0022\u003EChris Ruffin\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}