Evidence map›Paper›PMID 26009495›Full record

ArticleTechnology in cancer research & treatment2016

Scatter Reduction and Correction for Dual-Source Cone-Beam CT Using Prepatient Grids.

Lei Ren, Yingxuan Chen, You Zhang, William Giles, Jianyue Jin, Fang-Fang Yin

Abstract read
In one paragraph

Article in Technology in cancer research & treatment, 2016. 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.

  1. Article
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  12. A Biomechanical Modeling Guided CBCT Estimation Technique.IEEE transactions on medical imaging · 2017
    Article
  13. 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

6 authors.

Lei RenDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA Medical Physics Graduate Program, Duke University, Durham, NC, USA lei.ren@duke.edu.
Yingxuan ChenMedical Physics Graduate Program, Duke University, Durham, NC, USA.
You ZhangMedical Physics Graduate Program, Duke University, Durham, NC, USA.
William GilesDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.
Jianyue JinDepartment of Radiation Oncology, Georgia Regents University, Augusta, GA, USA.
Fang-Fang YinDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC, USA Medical Physics Graduate Program, Duke University, Durham, NC, USA.

Funding

A synchronized moving grid (SMOG) system to improve CBCT for IGRT and ARTR01CA166948 · NCI · HENRY FORD HEALTH SYSTEM · PI JIN, JIAN-YUE · 2012 to 2016
$1.6M
A Limited-angle Intra-fractional Verification (LIVE) System for SBRT TreatmentsR01CA184173 · NCI · DUKE UNIVERSITY · PI REN, LEI, YIN, FANG-FANG · 2015 to 2018
$1.5M
NCI NIH HHS R01 CA166948NCI NIH HHS R01 CA184173
6 · The paper itself

Abstract

purposeScatter significantly limits the application of the dual-source cone-beam computed tomography by inducing scatter artifacts and degrading contrast-to-noise ratio, Hounsfield-unit accuracy, and image uniformity. Although our previously developed interleaved acquisition mode addressed the cross scatter between the 2 X-ray sources, it doubles the scanning time and doesn't address the forward scatter issue. This study aims to develop a prepatient grid system to address both forward scatter and cross scatter in the dual-source cone-beam computed tomography.

methodsGrids attached to both X-ray sources provide physical scatter reduction during the image acquisition. Image data were measured in the unblocked region, while both forward scatter and cross scatter were measured in the blocked region of the projection for postscan scatter correction. Complementary projections were acquired with grids at complementary locations and were merged to form complete projections for reconstruction. Experiments were conducted with different phantom sizes, grid blocking ratios, image acquisition modes, and reconstruction algorithms to investigate their effects on the scatter reduction and correction. The image quality improvement by the prepatient grids was evaluated both qualitatively through the artifact reduction and quantitatively through contrast-to-noise ratio, Hounsfield-unit accuracy, and uniformity using a CATphan 504 phantom.

resultsScatter artifacts were reduced by scatter reduction and were removed by scatter correction method. Contrast-to-noise ratio, Hounsfield-unit accuracy, and image uniformity were improved substantially. The simultaneous acquisition mode achieved comparable contrast-to-noise ratio as the interleaved and sequential modes after scatter reduction and correction. Higher grid blocking ratio and smaller phantom size led to higher contrast-to-noise ratio for the simultaneous mode. The iterative reconstruction with total variation regularization was more effective than the Feldkamp, Davis, and Kress method in reducing noise caused by the scatter correction to enhance contrast-to-noise ratio.

conclusionThe prepatient grid system is effective in removing the scatter effects in the simultaneous acquisition mode of the dual-source cone-beam computed tomography, which is useful for scanning time reduction or dual energy imaging.

Indexed as

ArtifactsScattering, RadiationAlgorithmsCone-Beam Computed TomographyHumansPhantoms, ImagingCNR enhancementcross scatterdual energy imaginggrid blocking ratioscatter artifactsimultaneous acquisitiontotal variation regularization

Identifiers

PMID26009495
PMCPMC4658322

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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.