Work

Method of detecting tissue contact for fiber-optic probes to automate data acquisition without hardware modification

Year: 2013

Type: article

Abstract: We present a novel algorithm to detect contact with tissue and automate data acquisition. Contact fiber-optic probe systems are useful in noninvasive applications and real-time analysis of tissue properties. However, applications of these technologies are limited to procedures with visualization to ensure probe-tissue contact and individual user techniques can introduce variability. The software design exploits the system previously designed by our group as an optical method to automatically detect tissue contact and trigger acquisition. This method detected tissue contact with 91% accuracy, detected removal from tissue with 83% accuracy and reduced user variability by > 8%. Without the need for additional hardware, this software algorithm can easily integrate into any fiber-optic system and expands applications where visualization is difficult.

Source: Biomedical Optics Express

DOI: 10.1364/boe.4.001401

Authors: Sarah Ruderman, Scott Mueller, Andrew Gomes, Jeremy Rogers, Vadim Backman

Institutions: Northwestern University, American BioOptics (United States)

Language: English

Topic: Optical Imaging and Spectroscopy Techniques

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $1,913

Funders: Northwestern University, National Institutes of Health, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering