NDLI: Tissue characterization and detection of dysplasia using scattered light

Content Provider	IEEE Xplore Digital Library
Author	Cohen, F.S. Taslidere, E. Hari, D.S.
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA (Cohen, F.S.; Taslidere, E.; Hari, D.S.)
Abstract	In this paper, the structural parameters of dysplasia formation in the epithelial tissue are estimated using a stochastic decomposition algorithm (SDM) by means of scattered light. We extract texture parameters obtained from the decomposition that capture the signature of dysplasia formation. These parameters include the number and mean energy of coherent scatterers; deviation from Rayleigh scattering; average energy of diffuse scatterers; and normalized correlation coefficient. The tests are performed on simulations, and tissue-mimicking phantom data. The simulations are based on the light scattered from the cells with varying parameters such as, index of refraction, number of cells, and size of cells. The obtained results demonstrate the proof-of-concept in being able to differentiate between tissue structures that give rise to changes in cell morphology as well as other physical properties such as change in index of refraction. Fusing all the estimated parameter set together results in the differentiation performance (Az value) up to 1(perfect detection) for simulated data, and Az > 0.927 for the phantom data
Starting Page	590
Ending Page	593
File Size	129840
Page Count	4
File Format	PDF
ISBN	078039576X
DOI	10.1109/ISBI.2006.1624985
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-04-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Light scattering Rayleigh scattering Scattering parameters Imaging phantoms Structural engineering Stochastic processes Data mining Testing Performance evaluation Optical refraction
Content Type	Text
Resource Type	Article

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