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Proceedings Paper

Towards noninvasive method for the detection of pathological tissue variations by mapping different blood parameters
Author(s): Omar Abdallah; Qasem Qananwah; Kawther Abo Alam; Armin Bolz
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Paper Abstract

This paper describes the development of an early detection method for probing pathological tissue variations. The method could be used for classifying various tissue alteration namely tumors tissue or skin disorders. The used approach is based on light scattering and absorption spectroscopy. Spectral content of the scattered light provides diagnostic information about the tissue contents. The importance of this method is using a safe light that has less power than the used in the imaging methods that will enable the frequent examination of tissue, while the exiting modalities have drawbacks like ionization, high cost, time-consuming, and agents' usage. A modality for mapping the oxygen saturation distribution in tissues noninvasively is new in this area of research, since this study focuses on the oxygen molecule in the tissue which supposed to be homogenously distributed through the tissues. Cancers may cause greater vascularization and greater oxygen consumption than in normal tissue. Therefore, oxygen existence and homogeneity will be alternated depending on the tissue state. In the proposed system, the signal was extracted after illuminating the tissue by light emitting diodes (LED's) that emits light in two wavelengths, red (660 nm) and infrared (880 nm). The absorption in these wavelengths is mainly due to oxyhemoglobin (HbO2) and deoxyhemoglobin (Hb) while other blood and tissue contents nearly have low effect on the signal. The backscattered signal which is received by a photodiodes array (128 PDs) was measured and processed using LabVIEW. Photoplethysmogram (PPG) signals have been measured at different locations. These signals will be used to differentiate between the normal and the pathological tissues. Variations in hemoglobin concentration and blood perfusion will also be used as an important indication feature for this purpose.

Paper Details

Date Published: 18 May 2010
PDF: 6 pages
Proc. SPIE 7715, Biophotonics: Photonic Solutions for Better Health Care II, 77152C (18 May 2010); doi: 10.1117/12.854718
Show Author Affiliations
Omar Abdallah, Karlsruhe Institute of Technology (Germany)
Qasem Qananwah, Karlsruhe Institute of Technology (Germany)
Kawther Abo Alam, Karlsruhe Institute of Technology (Germany)
Armin Bolz, Karlsruhe Institute of Technology (Germany)

Published in SPIE Proceedings Vol. 7715:
Biophotonics: Photonic Solutions for Better Health Care II
Jürgen Popp; Wolfgang Drexler; Valery V. Tuchin; Dennis L. Matthews, Editor(s)

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