Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/5658
Title: Photoacoustic spectral sensing technique for diagnosis of biological tissue coagulation: In-vitro study
Authors: Vasudevan, Srivathsan
Keywords: animal tissue;Article;chicken;elastic tissue;elasticity;in vitro study;liver tissue;muscle tissue;nonhuman;photoacoustic spectral sensing technique;photoacoustics
Issue Date: 2020
Publisher: MDPI AG
Citation: Biswas, D., Chen, G. C. K., Baac, H. W., & Vasudevan, S. (2020). Photoacoustic spectral sensing technique for diagnosis of biological tissue coagulation: In-vitro study. Diagnostics, 10(3) doi:10.3390/diagnostics10030133
Abstract: Thermal coagulation of abnormal tissues has evolved as a therapeutic technique for different diseases including cancer. Tissue heating beyond 55 °C causes coagulation that leads to cell death. Noninvasive diagnosis of thermally coagulated tissues is pragmatic for performing efficient therapy as well as reducing damage of surrounding healthy tissues. We propose a noninvasive, elasticity-based photoacoustic spectral sensing technique for differentiating normal and coagulated tissues. Photoacoustic diagnosis is performed for quantitative differentiation of normal and coagulated excised chicken liver and muscle tissues in vitro by characterizing a dominant frequency of photoacoustic frequency spectrum. Pronounced distinction in the spectral parameter (i.e., dominant frequency) was observed due to change in tissue elastic property. We confirmed nearly two-fold increase in dominant frequencies for the coagulated muscle and liver tissues as compared to the normal ones. A density increase caused by tissue coagulation is clearly reflected in the dominant frequency composition. Experimental results were consistent over five different sample sets, delineating the potential of proposed technique to diagnose biological tissue coagulation and thus monitor thermal coagulation therapy in clinical applications. © 2020 by the authors.
URI: https://doi.org/10.3390/diagnostics10030133
https://dspace.iiti.ac.in/handle/123456789/5658
ISSN: 2075-4418
Type of Material: Journal Article
Appears in Collections:Department of Electrical Engineering

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