Evidence map›Paper›PMID 34151442›Full record

ArticleMedical physics2021

Spectral CT using a fine grid structure and varying x-ray incidence angle.

J Webster Stayman, Matthew Tivnan, Wenying Wang, Nadav Shapira, Grace J Gang, Peter B Noël

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. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

J Webster StaymanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Matthew TivnanDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Wenying WangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Nadav ShapiraDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.
Grace J GangDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Peter B NoëlDepartment of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA.

Funding

Spectral-spatial filtering for efficient multi-material decomposition in x-ray CTR21EB026849 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI STAYMAN, JOSEPH WEBSTER · 2018 to 2019
$450k
NIBIB NIH HHS R21 EB026849NIH HHS R21EB026849
6 · The paper itself

Abstract

purposeInterest in spectral computed tomography (CT) for diagnostics and therapy evaluation has been growing. Data acquisitions with distinct spectral sensitivities provide the ability to discriminate multiple materials, quantitative density estimates, and reduced artifacts due to energy dependencies. We introduce a novel spectral CT concept that includes a fine-pitch grid structure for prefiltration of the x-ray beam.

methodsWe develop physical models for grid designs and illustrate the basic operating principles wherein small angulations of the incident x rays results significant filtration and spectral shaping of the beam. We fabricate a prototype grid with tungsten lamellae. We compare x-ray spectra induced by this filter as a function of incidence angle in both simulation students and in physical measurements. The grid is also integrated onto a CT test bench where we scanned an iodinated phantom with clinically relevant concentrations (5, 10, 20, and 50 mgI/mL) to demonstrate the ability to perform spectral CT acquisitions and material decomposition.

resultsX-ray spectrometer measurements reveal diverse and controllable spectral shaping with small angle changes that are in agreement with simulation studies. Critical angles where the characteristics of the induced spectrum changes dramatically are identified. Reconstructions of projection data for two angulations separated by 2° was reconstructed and material decomposition into iodine and water images shows good agreement with the known iodine concentrations.

conclusionsThis work demonstrates the feasibility of the grid-based approach to enable spectral CT data acquisitions and accurate material decompositions. On-going and future studies will investigate the potential of this novel concept as a relatively simple upgrade to standard energy-integrating CT.

Indexed as

ArtifactsTomography, X-Ray ComputedHumansIncidencePhantoms, ImagingX-Rayscontrast-enhanced CTdual-energy CTmaterial decompositionquantitative CTX-ray filters

Identifiers

PMID34151442
PMCPMC10771732

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Registered trials

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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.