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1 March 2019 Correcting Cherenkov images for large-scale tissue-optical property attenuation using SFDI and patterned light reflectance for quantitative dosimetry
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Abstract
Tissue optical properties attenuate a substantial percentage of the optical light being detected during real-time Cherenkov acquisition, which distortsthe signal linearity previously observed with absorbed dose in homogeneous media. This hinders progression toward establishing quantitative dosimetry using Cherenkov imaging in vivo. By spectrally weighting effective attenuation (μeff) maps generated by multi-wavelength Spatial Frequency Domain Imaging (SFDI), it became possible to more successfully correct clinical Cherenkov images for areolar attenuation (6% difference, as compared to the treatment plan) compared to selecting one wavelength channel in a previous study (41% difference). Additionally, using a reflected light-based patient positioning system, we were able to characterize and correct for gross tissue optical properties in patient images, namely for large-scale surface and subsurface attenuation. While the use of wide-field SFDI enabled pixel-bypixel corrections, the benefit of using an integrated, light-based system for reflectance-based corrections negates the use of an external imaging system, which substantially smooths workflow.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rachael L. Hachadorian, Petr Bruza, Michael Jermyn, Lesley A. Jarvis, David Gladstone, and Brian W. Pogue "Correcting Cherenkov images for large-scale tissue-optical property attenuation using SFDI and patterned light reflectance for quantitative dosimetry", Proc. SPIE 10874, Optical Tomography and Spectroscopy of Tissue XIII, 1087414 (1 March 2019); https://doi.org/10.1117/12.2511111
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