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Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering
Significance: The Cherenkov emission spectrum overlaps with that of ambient room light sources. Choice of room lighting devices dramatically affects the efficient detection of Cherenkov emission during patient treatment. Aim: To determine optimal room light sources allowing Cherenkov emission imagin...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510878/ https://www.ncbi.nlm.nih.gov/pubmed/34643072 http://dx.doi.org/10.1117/1.JBO.26.10.106003 |
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author | Rahman, Mahbubur Bruza, Petr Hachadorian, Rachael Alexander, Daniel Cao, Xu Zhang, Rongxiao Gladstone, David J. Pogue, Brian W. |
author_facet | Rahman, Mahbubur Bruza, Petr Hachadorian, Rachael Alexander, Daniel Cao, Xu Zhang, Rongxiao Gladstone, David J. Pogue, Brian W. |
author_sort | Rahman, Mahbubur |
collection | PubMed |
description | Significance: The Cherenkov emission spectrum overlaps with that of ambient room light sources. Choice of room lighting devices dramatically affects the efficient detection of Cherenkov emission during patient treatment. Aim: To determine optimal room light sources allowing Cherenkov emission imaging in normally lit radiotherapy treatment delivery rooms. Approach: A variety of commercial light sources and long-pass (LP) filters were surveyed for spectral band separation from the red to near-infrared Cherenkov light emitted by tissue. Their effects on signal-to-noise ratio (SNR), Cherenkov to background signal ratio, and image artifacts were quantified by imaging irradiated tissue equivalent phantoms with an intensified time-gated CMOS camera. Results: Because Cherenkov emission from tissue lies largely in the near-infrared spectrum, a controlled choice of ambient light that avoids this spectral band is ideal, along with a camera that is maximally sensitive to it. An RGB LED light source produced the best SNR out of all sources that mimic room light temperature. A 675-nm LP filter on the camera input further reduced ambient light detected (optical density > 3), achieving maximal SNR for Cherenkov emission near 40. Reduction of the room light signal reduced artifacts from specular reflection on the tissue surface and also minimized spurious Cherenkov signals from non-tissue features such as bolus. Conclusions: LP filtering during image acquisition for near-infrared light in tandem with narrow band LED illuminated rooms improves image quality, trading off the loss of red wavelengths for better removal of room light in the image. This spectral filtering is also critically important to remove specular reflection in the images and allow for imaging of Cherenkov emission through clear bolus. Beyond time-gated external beam therapy systems, the spectral separation methods can be utilized for background removal for continuous treatment delivery methods including proton pencil beam scanning systems and brachytherapy. |
format | Online Article Text |
id | pubmed-8510878 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-85108782021-10-15 Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering Rahman, Mahbubur Bruza, Petr Hachadorian, Rachael Alexander, Daniel Cao, Xu Zhang, Rongxiao Gladstone, David J. Pogue, Brian W. J Biomed Opt Imaging Significance: The Cherenkov emission spectrum overlaps with that of ambient room light sources. Choice of room lighting devices dramatically affects the efficient detection of Cherenkov emission during patient treatment. Aim: To determine optimal room light sources allowing Cherenkov emission imaging in normally lit radiotherapy treatment delivery rooms. Approach: A variety of commercial light sources and long-pass (LP) filters were surveyed for spectral band separation from the red to near-infrared Cherenkov light emitted by tissue. Their effects on signal-to-noise ratio (SNR), Cherenkov to background signal ratio, and image artifacts were quantified by imaging irradiated tissue equivalent phantoms with an intensified time-gated CMOS camera. Results: Because Cherenkov emission from tissue lies largely in the near-infrared spectrum, a controlled choice of ambient light that avoids this spectral band is ideal, along with a camera that is maximally sensitive to it. An RGB LED light source produced the best SNR out of all sources that mimic room light temperature. A 675-nm LP filter on the camera input further reduced ambient light detected (optical density > 3), achieving maximal SNR for Cherenkov emission near 40. Reduction of the room light signal reduced artifacts from specular reflection on the tissue surface and also minimized spurious Cherenkov signals from non-tissue features such as bolus. Conclusions: LP filtering during image acquisition for near-infrared light in tandem with narrow band LED illuminated rooms improves image quality, trading off the loss of red wavelengths for better removal of room light in the image. This spectral filtering is also critically important to remove specular reflection in the images and allow for imaging of Cherenkov emission through clear bolus. Beyond time-gated external beam therapy systems, the spectral separation methods can be utilized for background removal for continuous treatment delivery methods including proton pencil beam scanning systems and brachytherapy. Society of Photo-Optical Instrumentation Engineers 2021-10-13 2021-10 /pmc/articles/PMC8510878/ /pubmed/34643072 http://dx.doi.org/10.1117/1.JBO.26.10.106003 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Imaging Rahman, Mahbubur Bruza, Petr Hachadorian, Rachael Alexander, Daniel Cao, Xu Zhang, Rongxiao Gladstone, David J. Pogue, Brian W. Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering |
title | Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering |
title_full | Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering |
title_fullStr | Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering |
title_full_unstemmed | Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering |
title_short | Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering |
title_sort | optimization of in vivo cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering |
topic | Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8510878/ https://www.ncbi.nlm.nih.gov/pubmed/34643072 http://dx.doi.org/10.1117/1.JBO.26.10.106003 |
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