Journal article
Can we see epithelium tissue structure below the surface using an optical probe?
Medical & biological engineering & computing, v 49(1), pp 85-96
Jan 2011
PMID: 20809187
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper answers the question of whether it is possible to detect changes below the surface in epithelium layered structures using a Stochastic Decomposition Method (SDM) that models the scattered light reflected from the layered structure over an area (2-D scan) illuminated by an optical sensor (fibre) emitting light at either one wavelength or with white light. Our technique correlates the differential changes in the reflected tissue texture with the morphological and physical changes that occur in the tissue occurring inside the structure. This work has great potential for detecting changes in mucosal structures and may lead to enhanced endoscopy when the disease is developing to the outside of the mucosal structure and hence becoming hidden during colonoscopy or endoscopic examination. Tests are performed on layered tissue phantoms, and the results obtained show great effectiveness of the model and method in picking up changes in the morphology of the layered tissue phantoms occurring below the surface. We also establish the robustness of the model to changes in viewing depth by testing it on phantoms viewed at different depths. We show that the model is robust to within a 4-mm-deep viewing range.
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Details
- Title
- Can we see epithelium tissue structure below the surface using an optical probe?
- Creators
- Fernand Cohen - Department of Electrical and Computer Engineering Drexel University Philadelphia PA USAEzgi Taslidere - Department of Electrical and Computer Engineering Drexel University Philadelphia PA USASreekant Murthy - Division of Gastroenterology and Hepatology, College of Medicine Drexel University Philadelphia PA USA
- Publication Details
- Medical & biological engineering & computing, v 49(1), pp 85-96
- Publisher
- Springer-Verlag; Berlin/Heidelberg
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000286437400010
- Scopus ID
- 2-s2.0-79952626847
- Other Identifier
- 991014877660104721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical
- Mathematical & Computational Biology
- Medical Informatics