Evidence map›Paper›PMID 42740435›Full record

ArticleMedical physics2026

Experimental investigation of metal artifact reduction using one-step spectral CT reconstruction.

Benjamin M Rizzo, Emil Y Sidky, Taly Gilat Schmidt

Abstract read
In one paragraph

Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Benjamin M RizzoDepartment of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Emil Y SidkyDepartment of Radiology, The University of Chicago, Chicago, Illinois, USA.
Taly Gilat SchmidtDepartment of Biomedical Engineering, Marquette University and the Medical College of Wisconsin, Milwaukee, Wisconsin, USA.

Funding

Spectral CT metal artifact correctionR01EB023968 · NIBIB · MARQUETTE UNIVERSITY · PI SCHMIDT, TALY GILAT, SIDKY, EMIL Y · 2019 to 2022
$1.4M
Algorithm-Enabled Auto-Calibrating Quantitative Dual-Energy CTR21CA263660 · NCI · UNIVERSITY OF CHICAGO · PI PAN, XIAOCHUAN · 2022 to 2023
$414k
National Science Foundation CNS-1828649NCI NIH HHS R21 CA263660NIBIB NIH HHS R01 EB023968NIBIB NIH HHS R01EB023968NIBIB NIH HHS R21CA263660
6 · The paper itself

Abstract

backgroundThe constrained one-step spectral CT image reconstruction algorithm (cOSSCIR) is a model-based approach that iteratively estimates basis material maps directly from a set of transmission measurements. By incorporating a model of the imaging system's x-ray beam and detector response, the method can be applied to both dual-kV and photon-counting problems. Since the polyenergetic composition of the x-ray beam is incorporated into the reconstruction, cOSSCIR has the potential to address beam hardening metal artifacts using accurate spectral estimation for both modalities. Furthermore, the use of convex constraints in the inversion procedure can be leveraged to address photon starvation caused by metal using a masking technique. PURPOSE: The purpose of this study was to experimentally investigate metal artifact reduction performance within a one-step framework for spectral CT reconstruction.

methodsDual-kV and photon-counting transmission measurements were taken through a step-wedge phantom and were used to form spectral models for an energy-integrating and photon-counting detector for our benchtop micro-CT imaging system. Then experiments were performed using an electron-density rod phantom with and without metal to evaluate the effect of spectral modeling and masking on the cOSSCIR reconstructions for both imaging modalities. Further experiments were performed using a biological specimen to demonstrate cOSSCIR and the artifact reduction techniques on a phantom with more complicated structure. Finally, cOSSCIR was demonstrated on head CT data with dental hardware obtained from a first-generation silicon PCCT clinical prototype.

resultsThe cOSSCIR reconstructions demonstrated a reduction in metal artifacts for both dual-kV and photon counting data. For a region between the metal inserts of the electron-density phantom, the mean absolute errors in the 60 keV dual-kV virtual mono-energetic images were 115 HU for FBP, compared to 87 HU and 41 HU using cOSSCIR and cOSSCIR with a mask, respectively. Likewise, the mean absolute errors in the 60 keV virtual mono-energetic images were 217 HU for FBP, 71 HU using cOSSCIR, and 22 HU using cOSSCIR with a mask in the 60 keV photon-counting virtual mono-energetic images. In a region adjacent to the metal, the dual-kV images had mean absolute errors of 100 HU for FBP, 53 HU for cOSSCIR, and 41 HU for cOSSCIR+Mask and the photon-counting images had errors of 74 HU for FBP, 27 HU for cOSSCIR, and 63 HU for cOSSCIR+Mask. The additional spectral information available from the photon-counting detector further reduced beam hardening and metal artifacts compared to the dual-kV images.

conclusionscOSSCIR reduced metal artifacts in both dual-kV and photon-counting x-ray CT. When combined with a masking technique, the cOSSCIR reconstructions demonstrated further artifact reduction, although masking introduced new artifacts in some cases. In general, our results show that the cOSSCIR photon-counting reconstructions compare favorably to dual-kV and filtered backprojection, and when using a mask, can fully resolve regions in between two metal inserts for the objects scanned in this study.

Indexed as

ArtifactsImage Processing, Computer-AssistedMetalsTomography, X-Ray ComputedAlgorithmsPhantoms, ImagingPhotonsMetalscalibrationdual‐kV and spectral CTimage reconstructionmetal artifactsphoton‐counting

Identifiers

PMID42740435
PMCPMC13575466

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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.