Abstract

To diagnose and manage skin disease, clinicians primarily use visual inspection aided with dermatoscopes, which are cross-polarized magnifiers. In recent years, digital cross polarized multispectral imaging systems have been developed to quantitatively assess skin disease. For example, systems like the one developed by Yaroslavsky et al., which utilize red and blue filters, can non-invasively assess the collagen network in the dermis(Yaroslavsky et al., 2003). Visualization of collagen network disruption can make it easier to visualize the boundaries of skin cancers like keratinocyte carcinoma, and therefore easier to excise completely. Current systems use external bandpass filters in front of cameras to achieve multispectral cross-polarized imaging, and this adds complexity, bulkiness, and extended exposure time during which motion artefacts are more likely.

The proposed project consists of developing a handheld, cross-polarized digital system that displays the collagen network of skin. The ability of the device to perform collagen network detection will be validated by imaging healthy subjects with varying skin pigmentation to assess healthy skin collagen network, and imaging skin cancer patients undergoing Mohs surgery.

Committee Chair

Leonid Shmuylovich

Committee Members

Mikhail Berezin Christine O'Brien

Degree

Master of Science (MS)

Author's Department

Biomedical Engineering

Author's School

McKelvey School of Engineering

Document Type

Thesis

Date of Award

Fall 12-17-2025

Language

English (en)

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