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Clinical instrument for spectral diagnosis of cutaneous malignancyFormat | Member Price | Non-Member Price |
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Paper Abstract
We present a novel probe-based portable clinical system for early detection and margin demarcation of melanoma and
non-melanoma skin cancers. The system collects both white light reflectance and fluorescence from tissue in real time.
We use gated detection to eliminate effects of room lights and make the system clinically compatible. Instrument control
and spectral calibration is automated using a personal computer. The total acquisition time for data collection is less than
a second. We use a spectrally-constrained inverse model for our probe geometry to fit the diffuse reflectance and extract
hemoglobin content, oxygen saturation, tissue micro-architecture and melanin content. We demonstrate system
performance and present results from tissue simulating phantoms. The mean rms errors in estimating scattering and
absorption coefficients in tissue phantoms over a physiologically relevant range were 9.8% and 11.8% respectively.
Using a photon migration model and least-squares regression we were able to extract the intrinsic fluorescence line
shapes and estimate fluorophore concentrations from measured fluorescence spectra with an rms error of less than 10%.
Paper Details
Date Published: 25 February 2008
PDF: 10 pages
Proc. SPIE 6848, Advanced Biomedical and Clinical Diagnostic Systems VI, 68480R (25 February 2008); doi: 10.1117/12.759709
Published in SPIE Proceedings Vol. 6848:
Advanced Biomedical and Clinical Diagnostic Systems VI
Tuan Vo-Dinh; Warren S. Grundfest; David A. Benaron; Gerald E. Cohn, Editor(s)
PDF: 10 pages
Proc. SPIE 6848, Advanced Biomedical and Clinical Diagnostic Systems VI, 68480R (25 February 2008); doi: 10.1117/12.759709
Show Author Affiliations
Narasimhan Rajaram, Univ. of Texas at Austin (United States)
Timothy J. Aramil, Univ. of Texas at Austin (United States)
Timothy J. Aramil, Univ. of Texas at Austin (United States)
Kelvin Lee, Univ. of Texas at Austin (United States)
James W. Tunnell, Univ. of Texas at Austin (United States)
James W. Tunnell, Univ. of Texas at Austin (United States)
Published in SPIE Proceedings Vol. 6848:
Advanced Biomedical and Clinical Diagnostic Systems VI
Tuan Vo-Dinh; Warren S. Grundfest; David A. Benaron; Gerald E. Cohn, Editor(s)
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