{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/29659"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/29659","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Development of a real time trimodal spectroscopy diagnostic tool for Barrett's esophagus","abstract":"Barrett's esophagus (BE) is a condition of the lower esophagus caused by gastroesophageal reflux disease. Patients with BE have an increased probability of developing dysplasia, an abnormal growth or development of cells. This dysplasia in BE is a precursor to cancer of the esophagus, but is currently difficult to detect and diagnose. If the dysplasia is allowed to progress to cancer, it is very difficult to treat successfully. Treatment for dysplasia itself, however, is very effective if done at an early stage. The goal of this thesis project will be to develop a real-time tool that uses spectroscopy to improve upon the methods of detecting dysplasia in BE. This will involve analyzing spectra acquired from patients with BE using models and extracting quantitative information on different aspects of tissue morphology and biochemistry. Using this information, diagnostic algorithms will be developed, optimized and displayed to the physician through a useful interface.","abstract_html":"Barrett's esophagus (BE) is a condition of the lower esophagus caused by gastroesophageal reflux disease. Patients with BE have an increased probability of developing dysplasia, an abnormal growth or development of cells. This dysplasia in BE is a precursor to cancer of the esophagus, but is currently difficult to detect and diagnose. If the dysplasia is allowed to progress to cancer, it is very difficult to treat successfully. Treatment for dysplasia itself, however, is very effective if done at an early stage. The goal of this thesis project will be to develop a real-time tool that uses spectroscopy to improve upon the methods of detecting dysplasia in BE. This will involve analyzing spectra acquired from patients with BE using models and extracting quantitative information on different aspects of tissue morphology and biochemistry. Using this information, diagnostic algorithms will be developed, optimized and displayed to the physician through a useful interface.","abstract_has_math":false,"creators":["Kim, Austin H. (Austin Hakjin), 1980-"],"institution":"Massachusetts Institute of Technology","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.","school":null,"contributors":[],"advisors":["Michael S. Feld."],"committee_chairs":[],"committee_members":[],"year":2002,"date_issued":"2002","date_published":"2002","updated_at":"2026-07-22T22:22:15Z","subjects":["Electrical Engineering and Computer Science."],"languages":["eng"],"rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"rights_urls":["http://dspace.mit.edu/handle/1721.1/7582"],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/1721.1/29659","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Michael S. Feld."]},{"key":"dc:contributor.department","label":"Department","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."]},{"key":"dc:creator","label":"Author","values":["Kim, Austin H. (Austin Hakjin), 1980-"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2006-03-24T16:12:38Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2006-03-24T16:12:38Z"]},{"key":"dc:date.issued","label":"Date","values":["2002"]},{"key":"dc:publisher","label":"Institution","values":["Massachusetts Institute of Technology"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electrical Engineering and Computer Science."]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."]},{"key":"dc:rights.uri","label":"Rights URI","values":["http://dspace.mit.edu/handle/1721.1/7582"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/1721.1/29659"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.","Includes bibliographical references (leaves 76-79)."]},{"key":"dc:description.abstract","label":"Abstract","values":["Barrett's esophagus (BE) is a condition of the lower esophagus caused by gastroesophageal reflux disease. Patients with BE have an increased probability of developing dysplasia, an abnormal growth or development of cells. This dysplasia in BE is a precursor to cancer of the esophagus, but is currently difficult to detect and diagnose. If the dysplasia is allowed to progress to cancer, it is very difficult to treat successfully. Treatment for dysplasia itself, however, is very effective if done at an early stage. The goal of this thesis project will be to develop a real-time tool that uses spectroscopy to improve upon the methods of detecting dysplasia in BE. This will involve analyzing spectra acquired from patients with BE using models and extracting quantitative information on different aspects of tissue morphology and biochemistry. Using this information, diagnostic algorithms will be developed, optimized and displayed to the physician through a useful interface."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["M.Eng.and S.B."]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Development of a real time trimodal spectroscopy diagnostic tool for Barrett's esophagus"]}]}],"canonical_facts":{"dc:contributor.advisor":["Michael S. Feld."],"dc:contributor.department":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."],"dc:contributor.other":["Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science."],"dc:creator":["Kim, Austin H. (Austin Hakjin), 1980-"],"dc:date.accessioned":["2006-03-24T16:12:38Z"],"dc:date.available":["2006-03-24T16:12:38Z"],"dc:date.issued":["2002"],"dc:description":["Thesis (M.Eng. and S.B.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.","Includes bibliographical references (leaves 76-79)."],"dc:description.abstract":["Barrett's esophagus (BE) is a condition of the lower esophagus caused by gastroesophageal reflux disease. Patients with BE have an increased probability of developing dysplasia, an abnormal growth or development of cells. This dysplasia in BE is a precursor to cancer of the esophagus, but is currently difficult to detect and diagnose. If the dysplasia is allowed to progress to cancer, it is very difficult to treat successfully. Treatment for dysplasia itself, however, is very effective if done at an early stage. The goal of this thesis project will be to develop a real-time tool that uses spectroscopy to improve upon the methods of detecting dysplasia in BE. This will involve analyzing spectra acquired from patients with BE using models and extracting quantitative information on different aspects of tissue morphology and biochemistry. Using this information, diagnostic algorithms will be developed, optimized and displayed to the physician through a useful interface."],"dc:description.degree":["M.Eng.and S.B."],"dc:format.mimetype":["application/pdf"],"dc:identifier.uri":["http://hdl.handle.net/1721.1/29659"],"dc:language.iso":["eng"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission."],"dc:rights.uri":["http://dspace.mit.edu/handle/1721.1/7582"],"dc:subject":["Electrical Engineering and Computer Science."],"dc:title":["Development of a real time trimodal spectroscopy diagnostic tool for Barrett's esophagus"],"dc:type":["Thesis"]},"updated_at":"2026-07-22T22:22:15Z"}