Literature DB >> 12175282

Imaging skin pathology with polarized light.

Steven L Jacques1, Jessica C Ramella-Roman, Ken Lee.   

Abstract

Linearly polarized light that illuminates skin is backscattered by superficial layers and rapidly depolarized by birefringent collagen fibers. It is possible to distinguish such superficially backscattered light from the total diffusely reflected light that is dominated by light penetrating deeply into the dermis. The method involves acquisition of two images through an analyzing linear polarizer in front of the camera, one image (I(par)) acquired with the analyzer oriented parallel to the polarization of illumination and one image (I(per)) acquired with the analyzer oriented perpendicular to the illumination. An image based on the polarization ratio, Pol=(I(par)-I(per))/(I(par)+I(per)), is created. This paper compares normal light images, represented by I(per), and Pol images of various skin pathologies in a pilot clinical study using incoherent visible-spectrum light. Images include pigmented skin sites (freckle, tattoo, pigmented nevi) and unpigmented skin sites [nonpigmented intradermal nevus, neurofibroma, actinic keratosis, malignant basal cell carcinoma, squamous cell carcinoma, vascular abnormality (venous lake), burn scar]. Images of a shadow cast from a razor blade onto a forearm skin site illustrate the behavior of Pol values near the shadow edge. Near the shadow edge, Pol approximately doubles in value because no I(per) photons are superficially scattered into the shadow-edge pixels by the shadow region while I(par) photons are directly backscattered from the superficial layer of these pixels. This result suggests that the point spread function in skin for cross-talk between Pol pixels has a half-width-half-max of about 390 microm.

Entities:  

Mesh:

Year:  2002        PMID: 12175282     DOI: 10.1117/1.1484498

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  54 in total

Review 1.  Hyperspectral imaging in diabetic foot wound care.

Authors:  Dmitry Yudovsky; Aksone Nouvong; Laurent Pilon
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Dermatological feasibility of multimodal facial color imaging modality for cross-evaluation of facial actinic keratosis.

Authors:  Youngwoo Bae; Taeyoon Son; J Stuart Nelson; Jae-Hong Kim; Eung Ho Choi; Byungjo Jung
Journal:  Skin Res Technol       Date:  2011-02       Impact factor: 2.365

3.  A polarized multispectral imaging system for quantitative assessment of hypertrophic scars.

Authors:  Pejhman Ghassemi; Taryn E Travis; Lauren T Moffatt; Jeffrey W Shupp; Jessica C Ramella-Roman
Journal:  Biomed Opt Express       Date:  2014-09-02       Impact factor: 3.732

4.  Automated detection of malignant features in confocal microscopy on superficial spreading melanoma versus nevi.

Authors:  Dan Gareau; Ricky Hennessy; Eric Wan; Giovanni Pellacani; Steven L Jacques
Journal:  J Biomed Opt       Date:  2010 Nov-Dec       Impact factor: 3.170

5.  Principal component model of multispectral data for near real-time skin chromophore mapping.

Authors:  Jana M Kainerstorfer; Martin Ehler; Franck Amyot; Moinuddin Hassan; Stavros G Demos; Victor Chernomordik; Christoph K Hitzenberger; Amir H Gandjbakhche; Jason D Riley
Journal:  J Biomed Opt       Date:  2010 Jul-Aug       Impact factor: 3.170

6.  Infrared Imaging Tools for Diagnostic Applications in Dermatology.

Authors:  Abhijit Achyut Gurjarpadhye; Mansi Bharat Parekh; Arita Dubnika; Jayakumar Rajadas; Mohammed Inayathullah
Journal:  SM J Clin Med Imaging       Date:  2015-11-20

7.  Ultrahigh polarimetric image contrast enhancement for skin cancer diagnosis using InN plasmonic nanoparticles in the terahertz range.

Authors:  Michael Ney; Ibrahim Abdulhalim
Journal:  J Biomed Opt       Date:  2015       Impact factor: 3.170

8.  Averaged subtracted polarization imaging for endoscopic diagnostics of surface microstructures on translucent mucosae.

Authors:  Katsuhiro Kanamori
Journal:  J Biomed Opt       Date:  2016-07       Impact factor: 3.170

9.  Polarized light spatial frequency domain imaging for non-destructive quantification of soft tissue fibrous structures.

Authors:  Bin Yang; John Lesicko; Manu Sharma; Michael Hill; Michael S Sacks; James W Tunnell
Journal:  Biomed Opt Express       Date:  2015-03-31       Impact factor: 3.732

10.  Automated identification of basal cell carcinoma by polarization-sensitive optical coherence tomography.

Authors:  Lian Duan; Tahereh Marvdashti; Alex Lee; Jean Y Tang; Audrey K Ellerbee
Journal:  Biomed Opt Express       Date:  2014-09-22       Impact factor: 3.732

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