DocumentCode :
1742143
Title :
Optical signatures of small, deeply embedded, tumor-like inclusions in tissue-like turbid media based on a random-walk theory of photon migration
Author :
Hattery, David ; Loew, Murray ; Chernomordik, Victor ; Gandjbakhche, Amir
Author_Institution :
George Washington Univ., Washington, DC, USA
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
348
Abstract :
Optical methods for detecting tumors in tissue are desirable in part because optical photons are non-ionizing. The highly scattering nature of tissue makes traditional, and even time-gated, optical imaging impractical for sites deeper than a few millimeters. Scattering in tissue causes dispersion in the path lengths of traversing photons which blurs images. With a theoretical description of path length dispersion, however, the perturbation caused by a localized anomaly may be identified from time-resolved intensity data. Random walk theory has been used to show a quantitative, closed-form relationship between the perturbation and the inclusion size and scattering properties relative to the background. Using Monte Carlo data, the authors show a method for analyzing the sensitivity of the relationship to signatures of small, deeply embedded, abnormally scattering inclusions
Keywords :
Monte Carlo methods; bio-optics; biomedical imaging; light scattering; optical images; tumours; turbidity; Monte Carlo data; highly scattering nature; image blurring; localized anomaly; medical diagnostic imaging; random walk theory; time-gated optical imaging; time-resolved intensity data; traversing photons path lengths; Biomedical optical imaging; Electromagnetic scattering; Lattices; Light scattering; Optical devices; Optical imaging; Optical scattering; Optical sensors; Particle scattering; Random media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.902930
Filename :
902930
Link To Document :
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