Combination of Stokes polarized light imaging, roughness metrics and morphological features for the detection of melanoma

P. Ghassemi; J. W. Shupp; S. Venna; M. E. Boisvert; K. E. Flanagan; M. H. Jordan; J. C. Ramella-Roman

doi:10.1117/12.910534

9 February 2012 Combination of Stokes polarized light imaging, roughness metrics and morphological features for the detection of melanoma

P. Ghassemi, J. W. Shupp, S. Venna, M. E. Boisvert, K. E. Flanagan, M. H. Jordan, J. C. Ramella-Roman

Author Affiliations +

Proceedings Volume 8207, Photonic Therapeutics and Diagnostics VIII; 82070H (2012) https://doi.org/10.1117/12.910534
Event: SPIE BiOS, 2012, San Francisco, California, United States

Abstract

Skin cancer is the most common and most rapidly increasing form of cancer in the world. Optimal treatment of skin cancer before it reaches metastasis depends critically on early diagnosis. Usually physicians will measure some outward features to diagnose malignancy of pigmented skin lesion. These are mostly morphological features like border irregularity, size, shape, and color. Valuable information can be obtained from the analysis of skin roughness. Previously, we developed a hemispherical imaging Stokes polarimeter to monitor skin cancer based on a roughness assessment of the epidermis. In this study, Stokes images were analyzed to measure polarization properties of skin samples such as the principal angle of the polarization ellipse and the degree of polarization. A processing algorithm based on morphological operators was also developed and applied on Stokes images to extract shape information. Finally, an appropriate classifier was designed to determine the type of lesion based on morphological features as well as the roughness information. Clinical evaluation of the technique was performed on patients with benign nevi, melanocytic nevi, melanoma, and normal skin.

Citation Download Citation

P. Ghassemi, J. W. Shupp, S. Venna, M. E. Boisvert, K. E. Flanagan, M. H. Jordan, and J. C. Ramella-Roman "Combination of Stokes polarized light imaging, roughness metrics and morphological features for the detection of melanoma", Proc. SPIE 8207, Photonic Therapeutics and Diagnostics VIII, 82070H (9 February 2012); https://doi.org/10.1117/12.910534

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Melanoma

Skin

Binary data

Polarization

Skin cancer

Imaging systems

Image filtering

Show All Keywords

Keywords/Phrases

Search In:

Publication Years