| Full text | |
| Author(s): |
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]
Total Authors: 10
|
| Affiliation: | [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
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | IEEE TRANSACTIONS ON MEDICAL IMAGING; v. 38, n. 2, p. 561-571, FEB 2019. |
| Web of Science Citations: | 2 |
| 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 (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) | |
| FAPESP's process: | 16/22720-3 - Photoacoustic waves and ionizing radiation: laser and X-ray photoacoustic imaging |
| Grantee: | Diego Ronaldo Thomaz Sampaio |
| Support Opportunities: | Scholarships abroad - Research Internship - Doctorate |