Improved Photoacoustic-Based Oxygen Saturation Estimation With SNR-Regularized Local Fluence Correction
Year: 2018
Type: article
Abstract: As photoacoustic (PA) imaging makes its way into the clinic, the accuracy of PA-based metrics becomes increasingly important.To address this need, a method combining finite-element-based local fluence correction (LFC) with signal-to-noise-ratio (SNR) regularization was developed and validated to accurately estimate oxygen saturation (SO 2 ) in tissue.With data from a Vevo LAZR system, performance of our LFC approach was assessed in ex vivo blood targets (37.6%-99.6%SO 2 ) and in vivo rat arteries.Estimation error of absolute SO 2 and change in SO 2 reduced from 10.1% and 6.4%, respectively, without LFC to 2.8% and 2.0%, respectively, with LFC, while the accuracy of the LFC method was correlated with the number of wavelengths acquired.This paper demonstrates the need for an SNRregularized LFC to accurately quantify SO 2 with PA imaging.
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
Awards: G1310324363, Imaging-based quantitative analysis of vascular perfusion and tissue oxygenation to improve therapy of hepatocellular carcinoma, VisualSonics Vevo LAZR High-Resolution In Vivo Micro-Imaging System, G4276892241, iThera Medical Multispectral Optoacoustic Tomography System for Full Body Molecular and Functional Small Animal Imaging, G6736661663, G788993117, Cancer Center Support Grant
OpenAlex ID: W2889735150