Self-calibrating time-resolved near infrared spectroscopy

Stanislaw Wojtkiewicz, Anna Gerega, Marta Zanoletti, Aleh Sudakou, Davide Contini, Adam Liebert, Turgut Durduran, Hamid Dehghani

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
177 Downloads (Pure)

Abstract

Time-resolved near infrared spectroscopy is considered to be a gold standard technique when measuring absolute values of tissue optical properties, as it provides separable and independent information about both tissue absorption and scattering. However, time-resolved instruments require an accurate characterization by measuring the instrument response function in order to decouple the contribution of the instrument itself from the measurement. In this work, a new approach to the methodology of analysing time-resolved data is presented where the influence of instrument response function is eliminated from the data and a self-calibrating analysis is proposed. The proposed methodology requires an instrument to provide at least two wavelengths and allows spectral parameters recovery (optical properties or constituents concentrations and reduced scatter amplitude and power). Phantom and in-vivo data from two different time-resolved systems are used to validate the accuracy of the proposed self-calibrating approach, demonstrating that parameters recovery compared to the conventional curve fitting approach is within 10% and benefits from introducing a spectral constraint to the reconstruction problem. It is shown that a multiwavelength time-resolved data can be used for parameters recovery directly without prior calibration (instrument response function measurement).
Original languageEnglish
Pages (from-to)2657-2669
Number of pages13
JournalBiomedical Optics Express
Volume10
Issue number5
DOIs
Publication statusPublished - 1 May 2019

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics

Fingerprint

Dive into the research topics of 'Self-calibrating time-resolved near infrared spectroscopy'. Together they form a unique fingerprint.

Cite this