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A melanoma cancer screening framework based on depth-resolved light scattering
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3290-0105
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-3497-1257
2023 (English)Conference paper, Oral presentation with published abstract (Other academic)
Abstract [en]

A non-invasive means to determine lesion depth (I.e. Breslow Thickness) and an indirect, lesion-specific assessment of cellular morphology could substantially improve the efficacy of melanoma screening. Such applications would be of great benefit in aiding diagnosis, reducing the number of unnecessary biopsies, and improving treatment options for patients. Using Spatial Frequency Domain Imaging (SFDI), we have developed a spectral method to isolate depth-specific scattering properties and hence, differentiate pigmented lesion volumes from underlying tissue by its structural morphology. This method was evaluated on solid phantoms that emulate the optical properties of suspect pigmented lesions over multiple thicknesses.

Place, publisher, year, edition, pages
2023. article id PC1235205
National Category
Medical Laboratory Technologies
Identifiers
URN: urn:nbn:se:liu:diva-208927DOI: 10.1117/12.2649645OAI: oai:DiVA.org:liu-208927DiVA, id: diva2:1908693
Conference
Photonics in Dermatology and Plastic Surgery, SPIE BiOS, Photonics West
Funder
Knut and Alice Wallenberg FoundationAvailable from: 2024-10-28 Created: 2024-10-28 Last updated: 2025-02-09

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Majedy, MotasamDas, NandanSaager, Rolf B

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