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dc.contributor.advisorTearney, Guillermo J.
dc.contributor.authorQu, Ashley
dc.date.accessioned2025-11-17T19:09:40Z
dc.date.available2025-11-17T19:09:40Z
dc.date.issued2025-05
dc.date.submitted2025-08-14T19:33:12.161Z
dc.identifier.urihttps://hdl.handle.net/1721.1/163726
dc.description.abstractBarrett’s Esophagus (BE) is a key precursor to esophageal adenocarcinoma (EAC), but current screening and risk assessment methods are ineffective and costly. Many BE cases remain undiagnosed due to asymptomatic patients, and existing risk algorithms rely on patient data rather than biomarkers. This work aims to start building a risk progression model by using a multi-modal imaging system combining autofluorescence spectroscopy, optical coherence tomography, and diffuse reflectance spectroscopy to perform label-free optical biopsies on ex-vivo tissue. These images will be co-registered and validated with histological biomarkers for BE. The ultimate goal is to develop a non-invasive endoscopic capsule and algorithm to better assess BE progression and enhance early detection of EAC.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleDevelopment of Multi-Modality Imaging Cart for Barrett’s Esophagus
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Electrical Engineering and Computer Science


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