Evidence map›Paper›PMID 34643072›Full record

ArticleJournal of biomedical optics2021

Optimization of in vivo Cherenkov imaging dosimetry via spectral choices for ambient background lights and filtering.

Mahbubur Rahman, Petr Bruza, Rachael Hachadorian, Daniel Alexander, Xu Cao, Rongxiao Zhang, David J Gladstone, Brian W Pogue

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Mahbubur RahmanDartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
Petr BruzaDartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
Rachael HachadorianDartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
Daniel AlexanderDartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
Xu CaoDartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
Rongxiao ZhangDartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
David J GladstoneDartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
Brian W PogueDartmouth College, Thayer School of Engineering, Hanover, New Hampshire, United States.
Dartmouth College · USDartmouth–Hitchcock Medical Center · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
OPTICAL CHERENKOV IMAGING DOSIMETRY IN HUMAN RADIOTHERAPYR01EB023909 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI GLADSTONE, DAVID J., JARVIS, LESLEY A · 2017 to 2024
$4.4M
Video Rate optical verification tool for radiotherapy treatment plansR44CA199681 · NCI · DOSEOPTICS, LLC · PI WARE, WILLIAM · 2016 to 2017
$2.0M
NCI NIH HHS P30 CA023108NCI NIH HHS R44 CA199681NIBIB NIH HHS R01 EB023909
6 · The paper itself

Abstract

significanceThe 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.

aimTo 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.

resultsBecause 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.

conclusionsLP 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.

Indexed as

Infrared RaysRadiometryHumansOptical ImagingPhantoms, ImagingSignal-To-Noise Ratioambient lightCherenkov emissionpatient imagingspectral filtering

Identifiers

PMID34643072
PMCPMC8510878
OpenAlexW3206574298

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.