{"id":{"repo_id":"uic","oai_identifier":"oai:figshare.com:article/31451914"},"canonical_url":"https://search.dev.ndltd.org/etd/uic/oai:figshare.com:article/31451914","repository":{"repo_id":"uic","name":"University of Illinois - Chicago","base_url":"https://api.figshare.com/v2/oai"},"display":{"title":"Analytical Modeling of Optical Coherence Tomography","abstract":"Optical Coherence Tomography (OCT) has become an indispensable imaging modality in ophthalmology and dermatology, prized for its micrometer-level resolution, non-invasiveness, and significant penetration depth. Despite its precision in revealing skin morphology, standard OCT lacks the ability to help dermatologists reliably differentiate between early-stage cancerous melanoma and benign nevi. This research addresses this critical diagnostic gap by introducing a novel analytical model to extract objective optical features from OCT images. This model is founded on the extended Huygens-Fresnel principle and complex ray matrices, uniquely accounting for wavelength-dependent optical properties and illumination. This framework not only improves diagnostics but also opens avenues for enhancing OCT system design via bandwidth tuning. Ultimately, the model's hardware independence and strong potential for clinical translation establish it as a powerful and broadly applicable diagnostic tool, well beyond its initial application in dermatology.","abstract_html":"Optical Coherence Tomography (OCT) has become an indispensable imaging modality in ophthalmology and dermatology, prized for its micrometer-level resolution, non-invasiveness, and significant penetration depth. Despite its precision in revealing skin morphology, standard OCT lacks the ability to help dermatologists reliably differentiate between early-stage cancerous melanoma and benign nevi. This research addresses this critical diagnostic gap by introducing a novel analytical model to extract objective optical features from OCT images. This model is founded on the extended Huygens-Fresnel principle and complex ray matrices, uniquely accounting for wavelength-dependent optical properties and illumination. This framework not only improves diagnostics but also opens avenues for enhancing OCT system design via bandwidth tuning. Ultimately, the model's hardware independence and strong potential for clinical translation establish it as a powerful and broadly applicable diagnostic tool, well beyond its initial application in dermatology.","abstract_has_math":false,"creators":["Sina Movahedi Aliabadi (23292154)"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2025,"date_issued":"2025-12-01T00:00:00Z","date_published":"2025-12-01T00:00:00Z","updated_at":"2026-07-27T21:34:34Z","subjects":["Engineering, Electronics and Electrical","Engineering, Biomedical","Health Sciences, Medicine and Surgery"],"languages":[],"rights":["In Copyright","Open Access after 2028-01-01"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://doi.org/10.25417/uic.31451914.v1","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Sina Movahedi Aliabadi (23292154)"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2025-12-01T00:00:00Z"]},{"key":"dc:relation","label":"Dc Relation","values":["https://figshare.com/articles/thesis/Analytical_Modeling_of_Optical_Coherence_Tomography/31451914"]},{"key":"dc:type","label":"Dc Type","values":["Text","Thesis"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Electronics and Electrical","Engineering, Biomedical","Health Sciences, Medicine and Surgery"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["In Copyright","Open Access after 2028-01-01"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["10.25417/uic.31451914.v1"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Optical Coherence Tomography (OCT) has become an indispensable imaging modality in ophthalmology and dermatology, prized for its micrometer-level resolution, non-invasiveness, and significant penetration depth. Despite its precision in revealing skin morphology, standard OCT lacks the ability to help dermatologists reliably differentiate between early-stage cancerous melanoma and benign nevi. This research addresses this critical diagnostic gap by introducing a novel analytical model to extract objective optical features from OCT images. This model is founded on the extended Huygens-Fresnel principle and complex ray matrices, uniquely accounting for wavelength-dependent optical properties and illumination. This framework not only improves diagnostics but also opens avenues for enhancing OCT system design via bandwidth tuning. Ultimately, the model's hardware independence and strong potential for clinical translation establish it as a powerful and broadly applicable diagnostic tool, well beyond its initial application in dermatology."]},{"key":"dc:title","label":"Title","values":["Analytical Modeling of Optical Coherence Tomography"]}]}],"canonical_facts":{"dc:creator":["Sina Movahedi Aliabadi (23292154)"],"dc:date":["2025-12-01T00:00:00Z"],"dc:description":["Optical Coherence Tomography (OCT) has become an indispensable imaging modality in ophthalmology and dermatology, prized for its micrometer-level resolution, non-invasiveness, and significant penetration depth. Despite its precision in revealing skin morphology, standard OCT lacks the ability to help dermatologists reliably differentiate between early-stage cancerous melanoma and benign nevi. This research addresses this critical diagnostic gap by introducing a novel analytical model to extract objective optical features from OCT images. This model is founded on the extended Huygens-Fresnel principle and complex ray matrices, uniquely accounting for wavelength-dependent optical properties and illumination. This framework not only improves diagnostics but also opens avenues for enhancing OCT system design via bandwidth tuning. Ultimately, the model's hardware independence and strong potential for clinical translation establish it as a powerful and broadly applicable diagnostic tool, well beyond its initial application in dermatology."],"dc:identifier":["10.25417/uic.31451914.v1"],"dc:relation":["https://figshare.com/articles/thesis/Analytical_Modeling_of_Optical_Coherence_Tomography/31451914"],"dc:rights":["In Copyright","Open Access after 2028-01-01"],"dc:subject":["Engineering, Electronics and Electrical","Engineering, Biomedical","Health Sciences, Medicine and Surgery"],"dc:title":["Analytical Modeling of Optical Coherence Tomography"],"dc:type":["Text","Thesis"]},"updated_at":"2026-07-27T21:34:34Z"}