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Combining fibre optic Raman spectroscopy and tactile resonance measurement for tissue characterization
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Umeå University. Department of Applied Physics and Electronics.
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2010 (English)In: Measurement science and technology, ISSN 0957-0233, E-ISSN 1361-6501, Vol. 21, no 12Article in journal (Refereed) Published
Abstract [en]

Tissue characterization is fundamental for identification of pathological conditions. Raman spectroscopy (RS) and tactile resonance measurement (TRM) are two promising techniques that measure biochemical content and stiffness, respectively. They have potential to complement the golden standard-–histological analysis. By combining RS and TRM, complementary information about tissue content can be obtained and specific drawbacks can be avoided. The aim of this study was to develop a multivariate approach to compare RS and TRM information. The approach was evaluated on measurements at the same points on porcine abdominal tissue. The measurement points were divided into five groups by multivariate analysis of the RS data. A regression analysis was performed and receiver operating characteristic (ROC) curves were used to compare the RS and TRM data. TRM identified one group efficiently (area under ROC curve 0.99). The RS data showed that the proportion of saturated fat was high in this group. The regression analysis showed that stiffness was mainly determined by the amount of fat and its composition. We concluded that RS provided additional, important information for tissue identification that was not provided by TRM alone. The results are promising for development of a method combining RS and TRM for intraoperative tissue characterization.

Place, publisher, year, edition, pages
2010. Vol. 21, no 12
National Category
Other Medical Engineering
Research subject
Medical Engineering for Healthcare
Identifiers
URN: urn:nbn:se:ltu:diva-12489DOI: 10.1088/0957-0233/21/12/125801ISI: 000284261900025Scopus ID: 2-s2.0-78649848075Local ID: ba545140-fc77-11df-8b95-000ea68e967bOAI: oai:DiVA.org:ltu-12489DiVA, id: diva2:985440
Note
Validerad; 2010; Bibliografisk uppgift: Paper id:: 125801; 20101130 (mornyb)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Candefjord, StefanNyberg, MorganRamser, KerstinLindahl, Olof

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