Development and calibration of an automated Mueller matrix polarization imaging system
| Autor: | Gerard L. Coté, Justin S. Baba, Brent D. Cameron, Aimee H. DeLaughter, Jungrae Chung |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Optics and Photonics
Skin Neoplasms Computer science Biophysics Biomedical Engineering Polarimetry Skin Pigmentation Biophysical Phenomena Standard deviation law.invention Biomaterials Optics law Biopsy Image Processing Computer-Assisted medicine Humans Scattering Radiation Specular reflection Mueller calculus Skin medicine.diagnostic_test business.industry Polarization imaging Equipment Design Models Theoretical Polarizer medicine.disease Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Skin cancer business Biomedical engineering |
| Zdroj: | Journal of Biomedical Optics. 7:341 |
| ISSN: | 1083-3668 |
| DOI: | 10.1117/1.1486248 |
| Popis: | The high fatality rate associated with the late detection of skin cancer makes early detection crucial in preventing death. The current method for determining if a skin lesion is suspect to cancer is initially based on the patient's and physician's subjective observation of the skin lesion. Physicians use a set of parameters called the ABCD (asymmetry, border, color, diameter) rule to help facilitate diagnosis of potential cancerous lesions. Lesions that are suspicious then require a biopsy, which is a painful, invasive, and a time-consuming procedure. In an attempt to reduce the aforementioned undesirable elements cur- rently associated with skin cancer diagnosis, a novel optical polarization-imaging system is described that has the potential to non- invasively detect cancerous lesions. The described system generates the full 16-element Mueller matrix in less than 70 s. The operation of the system was tested in transmission, specular reflection, and diffuse reflectance modes, using known samples, such as a horizontal linear polarizer, a mirror, and a diffuser plate. In addition, it was also used to image a benign lesion on a human subject. The results of the known samples are in good agreement with their theoretical values with an average accuracy of 97.96% and a standard deviation of 0.0084, us- ing 16 polarization images. The system accuracy was further in- creased to 99.44% with a standard deviation of 0.005, when 36 im- ages were used to generate the Mueller matrix. © 2002 Society of Photo- Optical Instrumentation Engineers. (DOI: 10.1117/1.1486248) |
| Databáze: | OpenAIRE |
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