Evidence map›Paper›PMID 32313356›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2020

Simultaneous scatter rejection and correction method using 2D antiscatter grids for CBCT.

Zhelin Yu, Yeonok Park, Cem Altunbas

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2020. 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
  2. Article
  3. Article
  4. Article
  5. Article
  6. Monte Carlo methods for medical imaging research.Biomedical engineering letters · 2024
    Review
  7. Article
  8. Effect of scatter suppression with 2D antiscatter grids in photon counting compact CBCT.Proceedings of SPIE--the International Society for Optical Engineering · 2024
    Article
  9. Article
  10. Article
  11. Article
  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
  13. 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

3 authors.

Zhelin YuDepartment of Computer Science and Engineering, University of Colorado Denver, Denver, CO, USA.
Yeonok ParkDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA.
Cem AltunbasDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA.

Funding

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 R21 CA198462
6 · The paper itself

Abstract

While two-dimensional antiscatter grids (2D grid) reduce scatter intensity substantially in Cone Beam Computed Tomography (CBCT), a small fraction of scattered radiation is transmitted through the 2D grid to the detector. Residual scatter limits the accuracy of CT numbers and interferes with the correction of grid's septal shadows, or footprint, in projections. If grid's septal shadows are not adequately suppressed in projections, it will lead to ring artifacts in CBCT images. In this work, we present a new method to correct residual scatter transmitted through the grid by employing the 2D grid itself as a residual scatter measurement device. Our method, referred as grid-based scatter sampling (GSS), exploits the spatial modulation of primary x-ray fluence by 2D grid's septal shadows. The shape of the signal modulation pattern varies as a function of residual scatter intensity registered by detector pixels. Such a variation in signal pattern was employed to measure residual scatter intensity in each projection, and subsequently, residual scatter was subtracted from each projection. To validate the GSS method, CBCT imaging experiments were conducted using a 2D antiscatter grid prototype in a linac mounted CBCT system. The effect of GSS method on the ring artifact reduction was quantified by measuring noise in CBCT images. In addition, the nonuniformity of Hounsfield Units (HU) and HU accuracy was measured in both head and pelvis-sized phantoms. In qualitative evaluations, GSS method successfully reduced ring artifacts caused by 2D grid's footprint. Image noise reduced by 23% due to reduction of ring artifacts. HU nonuniformity in water-equivalent sections was reduced from 20 HU to 10 HU, and streak artifacts between high density inserts were reduced. The phantom size dependent variations in HU was also reduced after application of GSS method. Without GSS method, HU of density inserts reduced by 9% on the average when phantom size was increased from head to pelvis. With GSS method, HU values reduced only by 5% under the same conditions. In summary, GSS method complements the 2D grid's scatter suppression performance, by correcting the scatter transmitted through the grid. This approach does not require additional scatter-measurement hardware, such as beam-stop arrays, since the grid itself is employed as the scatter measurement device. By suppressing residual scatter in projections, our proposed method successfully reduced artifacts caused by 2D grid's footprint, and further improved CT number accuracy.

Indexed as

antiscatter gridCBCTflat panel detectorsscatter correction

Identifiers

PMID32313356
PMCPMC7167360

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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.