{"619596":{"#nid":"619596","#data":{"type":"event","title":"PhD Defense by Iris Lu","body":[{"value":"\u003Cp\u003EIn partial fulfillment of the requirements for the degree of\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDoctor of Philosophy in Bioinformatics\u003C\/p\u003E\r\n\r\n\u003Cp\u003Ein the School of Biological Sciences\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EIris Lu\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nDefends her thesis:\u003Cbr \/\u003E\r\n\u003Cstrong\u003EDetermination of the accuracy and sensitivity of infrared sensors for anthropometric based lymphedema assessment in clinical environments\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETuesday, April 9, 2019\u003C\/p\u003E\r\n\r\n\u003Cp\u003E1:00pm\u003Cbr \/\u003E\r\nEBB 1005,\u0026nbsp;Children\u0026#39;s Healthcare of Atlanta Seminar Room\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EThesis Co-Advisors:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. J. Brandon Dixon\u003Cbr \/\u003E\r\nSchool of Mechanical Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Rudolph L. Gleason\u003Cbr \/\u003E\r\nSchool of Mechanical Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Fredrik Vannberg\u003Cbr \/\u003E\r\nSchool of Biological Sciences\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. May Wang\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDepartment of Biomedical Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Eva Lee\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Industrial and Systems Engineering\u003Cbr \/\u003E\r\nGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Sheryl Gabram\u003Cbr \/\u003E\r\nSchool of Medicine\u003Cbr \/\u003E\r\nEmory University.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELymphedema is one of most feared side effects of cancer treatments in the United States. This disease leads to swelling of the affected limb and is associated with physical and psychological distress. Disease onset has no clear timeline. At risk patients may develop lymphedema immediately post-treatment or they may wait decades before developing lymphedema. Current medical care for at risk patients does not provide the continuous surveillance necessary for early lymphedema detection. Therefore, more often than not, patients diagnosed with lymphedema are subjected to a lifetime of maintenance, costing thousands of dollars per year in clinical visits and compression garments. In this dissertation, implementation of infrared sensor systems was explored and evaluated against the standard volume measurement tools used in specialized lymphedema clinics. The infrared sensor with the LymphaTech software resulted in good correlation and agreement with current measurement tools while being easier to use and more cost-effective than commercially available systems. Additionally, the efficacy of utilizing local arm geometries for the detection of arm lymphedema was determined. Anthropometric based features were extracted from a 3D point cloud using custom code and applied to train classification models for lymphedema. These features were shown to detect subtle changes in the arm of lymphedema patients with a sensitivity of 61% compared to the current standard volume difference measurement, which has a sensitivity of 33.3%. Clinics not equipped to detect lymphedema could integrate this infrared system and model as a screening tool to improve referral rates to lymphedema clinics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Determination of the accuracy and sensitivity of infrared sensors for anthropometric based lymphedema assessment in clinical environments"}],"uid":"27707","created_gmt":"2019-03-25 18:09:08","changed_gmt":"2019-03-25 18:09:08","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-04-09T14:00:00-04:00","event_time_end":"2019-04-09T16:00:00-04:00","event_time_end_last":"2019-04-09T16:00:00-04:00","gmt_time_start":"2019-04-09 18:00:00","gmt_time_end":"2019-04-09 20:00:00","gmt_time_end_last":"2019-04-09 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}