Evidence map›Paper›PMID 33378551›Full record

ArticleMedical physics2021

A unified scatter rejection and correction method for cone beam computed tomography.

Cem Altunbas, Yeonok Park, Zhelin Yu, Anant Gopal

Open access · greenAbstract 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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  3. A Hybrid Sparse Primary Sampling (SPS) Strategy for CBCT.IEEE transactions on bio-medical engineering · 2026
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  11. Effect of scatter suppression with 2D antiscatter grids in photon counting compact CBCT.Proceedings of SPIE--the International Society for Optical Engineering · 2024
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  18. Megavoltage cross-scatter rejection and correction using 2D antiscatter grids in kilovoltage CBCT imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2022
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  19. Article
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

4 authors at 2 institutions in 1 country.

Cem AltunbasDepartment of Radiation Oncology, University of Colorado School of Medicine, 1665 Aurora Court, Suite 1032, Mail stop F-706, Aurora, CO, 80045, USA.
Yeonok ParkDepartment of Radiation Oncology, University of Colorado School of Medicine, 1665 Aurora Court, Suite 1032, Mail stop F-706, Aurora, CO, 80045, USA.
Zhelin YuDepartment of Computer Science and Engineering, University of Colorado, Denver, CO, 80217, USA.
Anant GopalDepartment of Radiation Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263, USA.
University of Colorado Denver · USRoswell Park Comprehensive Cancer Center · US

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
NCI NIH HHS R01 CA245270NCI NIH HHS R21 CA198462
6 · The paper itself

Abstract

purposeScattered radiation is a major cause of image quality degradation in flat panel detector-based cone beam CT (CBCT). While recently introduced 2D antiscatter grids reject the majority of scatter fluence, the small percentage of scatter fluence still transmitted to the detector remains a major challenge for implementation of quantitative imaging techniques such as dual energy imaging in CBCT. Additionally, this residual scatter is also a major source of grid-induced artifacts, which impedes implementation of 2D grids in CBCT. We therefore present a new method to achieve both robust scatter rejection and residual scatter correction using a 2D antiscatter grid; in doing so, we expand the role of 2D grids from mere scatter rejection devices to scatter measurement devices.

methodIn our method, the radiopaque septa of the 2D grid emulate a micro array of beam-stops placed on the detector which introduce spatially periodic septal shadows. By selecting sufficiently thin grid septa, the primary intensity can be reduced while preserving the uniformity of scatter intensity. This enables us to correlate the modulated pixel signal intensity in septal shadows with local scatter intensity. Our method then exploits this correlation to measure and remove residual scatter intensity from projections. No assumptions are made about the object being imaged. We refer to this as Grid-based Scatter Sampling (GSS). In this work, we evaluate the principle of signal modulation with grid septa, the accuracy of scatter estimates, and the effect of the GSS method on image quality using simulations and measurements. We also implement the GSS method experimentally using a 2D grid prototype.

resultsOur results demonstrate that the GSS method increased CT number accuracy and reduced image artifacts associated with scatter. With 2D grid and residual scatter correction, HU nonuniformity was reduced from 65 HU to 30 HU in pelvis sized phantoms, and HU variations due to change in phantom size were reduced from 59 HU to 20 HU, when compared to use of only a 2D grid. With residual scatter correction via GSS method, grid-induced ring artifacts were suppressed, leading to a 41% reduction in noise. The shape of the modulation transfer function (MTF) was preserved before and after suppression of ring artifacts.

conclusionsOur grid-based scatter sampling method enables utilization of a 2D grid as a scatter measurement and correction device. This method significantly improves quantitative accuracy in CBCT, further reducing the image quality gap between CBCT and multi-detector CT. By correcting residual scatter with the proposed method, grid-induced line artifacts in projections and associated ring artifacts in CBCT images were also suppressed with no compromise of spatial resolution.

Indexed as

Cone-Beam Computed TomographyPelvisAlgorithmsArtifactsPhantoms, ImagingScattering, RadiationAntiscatter gridflat panel detectorsquantitative CBCTscatter correction

Identifiers

PMID33378551
PMCPMC7965329
OpenAlexW3114527019

What OpenQuestion holds

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LicenceTDM
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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.