Integrating Multimodal Optical Imaging Systems for Interactive Clinician Guidance for Cancer Detection and Resection

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dc.contributor.advisorRichards-Kortum, Rebecca
dc.creatorCoole, Jackson B
dc.date.accessioned2023-08-09T15:21:58Z
dc.date.created2023-05
dc.date.issued2023-04-20
dc.date.submittedMay 2023
dc.date.updated2023-08-09T15:21:58Z
dc.descriptionEMBARGO NOTE: This item is embargoed until 2024-05-01
dc.description.abstractThe gold standard for cancer diagnosis is invasive biopsy and subsequent pathologic diagnosis to identify the presence and grade of dysplasia. Unfortunately, most medical practitioners lack expertise to distinguish true precancerous lesions and early cancers from the more common benign confounders. While the potential of optical imaging to delineate areas containing high-grade dysplasia has been demonstrated, previous implementations have lacked the ability to guide provider actions in real time. However, recent advances in optical sensor technology, digital light projectors, and deep learning frameworks provide an opportunity to incorporate real-time interactive clinician guidance with multimodal optical imaging in ways that were not previously possible. The goal of my dissertation research is to develop a multimodal optical imaging system that provides active guidance to clinicians to improve the early detection and complete surgical removal of cancerous lesions. I demonstrated the promise of this approach for two different clinical applications, including: 1) developing a Multimodal Mobile Colposcope (MMC) for interactive biopsy guidance in cervical precancers; and 2) Developing a low-cost Active Biopsy Guidance System (ABGS) for interactive biopsy guidance in oral precancers.
dc.embargo.lift2024-05-01
dc.embargo.terms2024-05-01
dc.format.mimetypeapplication/pdf
dc.identifier.citationCoole, Jackson B. "Integrating Multimodal Optical Imaging Systems for Interactive Clinician Guidance for Cancer Detection and Resection." (2023) Diss., Rice University. <a href="https://hdl.handle.net/1911/115089">https://hdl.handle.net/1911/115089</a>.
dc.identifier.urihttps://hdl.handle.net/1911/115089
dc.language.isoeng
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.
dc.subjectoptical imaging
dc.subjectpoint-of-care
dc.subjectcancer detection
dc.subjectsurgical guidance
dc.titleIntegrating Multimodal Optical Imaging Systems for Interactive Clinician Guidance for Cancer Detection and Resection
dc.typeThesis
dc.type.materialText
thesis.degree.departmentBioengineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy
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