Evidence map›Paper›PMID 38681223›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2024

Effect of scatter suppression with 2D antiscatter grids in photon counting compact CBCT.

Ryan Sabounchi, Uttam Pyakurel, Farhang Bayat, Mohamed Eldib, Cem Altunbas

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Ryan SabounchiDepartment of Bioengineering, University of Colorado Denver, Denver, CO.
Uttam PyakurelDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO.
Farhang BayatDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO.
Mohamed EldibDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO.
Cem AltunbasDepartment of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO.

Funding

Colorado REACH HubU01HL152405 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI DUKE, RICHARD C · 2019 to 2022
$5.1M
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 two-dimensional antiscatter grid for dental cone beam computed tomographyR41DE030039 · NIDCR · M2 TECHNOLOGIES LLC · PI ALTUNBAS, CEM · 2021 to 2021
$197k
NCI NIH HHS R01 CA245270NHLBI NIH HHS U01 HL152405NIDCR NIH HHS R41 DE030039
6 · The paper itself

Abstract

Energy sensitive and photon counting detectors can provide improved tissue visualization and material quantification capabilities in Cone Beam Computed Tomography (CBCT) systems. However, their implementation in CBCT systems is more challenging, which is in part due to high fluence of scattered X-rays in wide cone angle CBCT geometry. Specifically, high scatter contamination in lower energy spectrum challenges reconstruction of high fidelity CBCT images by using lower energy X-rays. To address this problem, we investigated a robust scatter rejection with 2D antiscatter grids in a benchtop photon counting and compact CBCT system. The benchtop system employs a 35 cm wide CdTe photon counting detector with two energy thresholds. To reject scatter, a dedicated 2D antiscatter grid (2D grid) prototype made from tungsten was developed and mounted directly on the detector. To correct residual scatter not stopped by the 2D grid, a measurement-based scatter correction method, referred to as Grid-based Scatter Sampling (GSS), was utilized. Without 2D grid, scatter to primary ratio (SPR) reached 2.3 in the 15-40 keV energy bin. SPR was factor of 3 higher in the lowest energy bin when compared to the highest energy bin (90-120 keV). With the 2D grid, SPR was reduced below 0.14, and SPR values were more homogenous across the energy spectrum. CT number nonuniformity was factor of 3 lower in both low and high energy bin CBCT reconstructions. Improvement in contrast to noise ratio and contrast was more pronounced in the low energy bin CBCT images. This work indicates that 2D grids can significantly reduce spectral contamination caused by scatter in photon counting compact CBCT, and potentially enable higher fidelity CBCT image reconstructions.

Identifiers

PMID38681223
PMCPMC11045167

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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.