Paper
11 March 2015 Wavelength optimization for in vivo multispectral photoacoustic/ultrasound tomography of hemoglobin oxygenation in ovarian cancer: clinical studies
Hassan S. Salehi, Hai Li, Patrick D. Kumavor, Aleksey Merkulov M.D., Melinda Sanders M.D., Molly Brewer M.D., Quing Zhu
Author Affiliations +
Abstract
In this paper, wavelength selection for multispectral photoacoustic/ultrasound tomography was optimized to obtain accurate images of hemoglobin oxygen saturation (sO2) in vivo. Although wavelengths can be selected by theoretical methods, in practice the accuracy of reconstructed images will be affected by wavelength-specific and system-specific factors such as laser source power and ultrasound transducer sensitivity. By performing photoacoustic spectroscopy of mouse tumor models using 14 different wavelengths between 710 and 840 nm, we were able to identify a wavelength set which most accurately reproduced the results obtained using all 14 wavelengths via selection criteria. In clinical studies, the optimal wavelength set was successfully used to image human ovaries in vivo and noninvasively. Although these results are specific to our co-registered photoacoustic/ultrasound imaging system, the approach we developed can be applied to other functional photoacoustic and optical imaging systems.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hassan S. Salehi, Hai Li, Patrick D. Kumavor, Aleksey Merkulov M.D., Melinda Sanders M.D., Molly Brewer M.D., and Quing Zhu "Wavelength optimization for in vivo multispectral photoacoustic/ultrasound tomography of hemoglobin oxygenation in ovarian cancer: clinical studies", Proc. SPIE 9323, Photons Plus Ultrasound: Imaging and Sensing 2015, 932303 (11 March 2015); https://doi.org/10.1117/12.2080385
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
In vivo imaging

Oxygen

Photoacoustic spectroscopy

Ovarian cancer

Ovary

Tumors

Acquisition tracking and pointing

Back to Top