Evidence map›Paper›PMID 33554377›Full record

ArticleMedical physics2021

Evaluation of scatter rejection and correction performance of 2D antiscatter grids in cone beam computed tomography.

Yeonok Park, Timur Alexeev, Brian Miller, Moyed Miften, Cem Altunbas

Abstract read
In one paragraph

Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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  12. Megavoltage cross-scatter rejection and correction using 2D antiscatter grids in kilovoltage CBCT imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2022
    Article
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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

5 authors.

Yeonok ParkDepartment of Radiation Oncology, University of Colorado School of Medicine, 1665 Aurora Court, Suite 1032, Mail stop F-706, Aurora, CO, 80045, USA.
Timur AlexeevDepartment of Radiation Oncology, University of Colorado School of Medicine, 1665 Aurora Court, Suite 1032, Mail stop F-706, Aurora, CO, 80045, USA.
Brian MillerDepartment of Radiation Oncology, University of Colorado School of Medicine, 1665 Aurora Court, Suite 1032, Mail stop F-706, Aurora, CO, 80045, USA.
Moyed MiftenDepartment of Radiation Oncology, University of Colorado School of Medicine, 1665 Aurora Court, Suite 1032, Mail stop F-706, Aurora, CO, 80045, USA.
Cem AltunbasDepartment of Radiation Oncology, University of Colorado School of Medicine, 1665 Aurora Court, Suite 1032, Mail stop F-706, Aurora, CO, 80045, USA.

Funding

Improving quantitative accuracy and tissue visualization in CBCT guided radiation therapyR01CA245270 · NCI · UNIVERSITY OF COLORADO DENVER · PI ALTUNBAS, CEM · 2020 to 2025
$2.1M
A dedicated two dimensional antiscatter grid for CBCT in radiation therapyR21CA198462 · NCI · UNIVERSITY OF COLORADO DENVER · PI ALTUNBAS, CEM · 2016 to 2017
$372k
Cancer League of Colorado (CLC) 193469HHS | NIH | National Cancer Institute (NCI) R01CA245270HHS | NIH | National Cancer Institute (NCI) R21CA198462NCI NIH HHS R01 CA245270NCI NIH HHS R21 CA198462
6 · The paper itself

Abstract

purposeWe have been investigating two-dimensional (2D) antiscatter grids (2D ASGs) to reduce scatter fluence and improve image quality in cone beam computed tomography (CBCT). In this work, two different aspects of 2D ASGs, their scatter rejection and correction capability, were investigated in CBCT experiments. To correct residual scatter transmitted through the 2D ASG, it was used as a scatter measurement device with a novel method: grid-based scatter sampling.

methodsThree focused 2D ASG prototypes with grid ratios of 8, 12, and 16 were developed for linac-mounted offset detector CBCT geometry. In the first phase, 2D ASGs were used as a scatter rejection device, and the effect of grid ratio on CT number accuracy and contrast-to-noise ratio (CNR) evaluated in CBCT images. In the second phase, a grid-based scatter sampling method which exploits the signal modulation characteristics of the 2D ASG's septal shadows to measure and correct residual scatter transmitted through the grid was implemented. To evaluate CT number accuracy, the percent change in CT numbers was measured by changing the phantom from head to pelvis size and configuration.

resultsWhen 2D ASG was used as a scatter rejection device, CT number accuracy increased and the CT number variation due to change in phantom dimensions was reduced from 23% to 2-6%. A grid ratio of 16 yielded the lowest CT number variation. All three 2D ASGs yielded improvement in CNR, up to a factor of two in pelvis-sized phantoms. When 2D ASG prototypes were used for both scatter rejection and correction, CT number variations were reduced further, to 1.3-2.6%. In comparisons with a clinical CBCT system and a high-performance radiographic ASG, 2D ASG provided higher CT number accuracy under the same imaging conditions.

conclusionsWhen 2D ASG is used solely as a scatter rejection device, substantial improvement in CT number accuracy can be achieved by increasing the grid ratio. Two-dimensional ASGs also provided significant CNR improvement even at lower grid ratios. Two-dimensional ASGs used in conjunction with the grid-based scatter sampling method provided further improvement in CT number accuracy, irrespective of the grid ratio, while preserving 2D ASGs' capacity to improve CNR. The combined effect of scatter rejection and residual scatter correction by 2D ASG may accelerate implementation of new techniques in CBCT that require high quantitative accuracy, such as radiotherapy dose calculation and dual energy CBCT.

Indexed as

Cone-Beam Computed TomographyParticle AcceleratorsHeadPhantoms, ImagingScattering, Radiationantiscatter gridsquantitative CBCTscatter correction

Identifiers

PMID33554377
PMCPMC8058321

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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.