Improved Photoacoustic-Based Oxygen Saturation Estimation With SNR-Regularized Local Fluence Correction

Autor(es)

Naser, Mohamed A. ^[1] ; Sampaio, Diego R. T. ^[2] ; Munoz, Nina M. ^[3] ; Wood, Cayla A. ^{[1, 4]} ; Mitcham, Trevor M. ^{[1, 4]} ; Stefan, Wolfgang ^[1] ; Sokolov, Konstantin V. ^{[1, 4]} ; Pavan, Theo Z. ^[2] ; Avritscher, Rony ^[3] ; Bouchard, Richard R. ^{[1, 4]}

Afiliação do(s) autor(es)

^[1] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Houston, TX 77030 - USA

^[2] Univ Sao Paulo, Dept Phys, BR-14040901 Ribeirao Preto - Brazil

^[3] Univ Texas MD Anderson Canc Ctr, Dept Intervent Radiol, Houston, TX 77030 - USA

^[4] Univ Texas MD Anderson Canc Ctr, UTHlth Grad Sch Biomed Sci, Houston, TX 77030 - USA

• Tipo de documento: Artigo Científico
• Fonte: IEEE TRANSACTIONS ON MEDICAL IMAGING; v. 38, n. 2, p. 561-571, FEB 2019.
• Citações Web of Science: 2

Resumo

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 (SO2) 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% SO2) and in vivo rat arteries. Estimation error of absolute SO2 and change in SO2 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 SNR-regularized LFC to accurately quantify SO2 with PA imaging. (AU)

• Processo FAPESP: 16/22720-3 - Ondas fotoacústicas e radiação ionizante: imagens fotoacústicas por laser e raios-X
• Beneficiário: Diego Ronaldo Thomaz Sampaio
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Doutorado