Evidence map›Paper›PMID 32506820›Full record

ArticleJournal of applied clinical medical physics2020

Development of a stereoscopic CT metal artifact management algorithm using gantry angle tilts for head and neck patients.

Daniela Branco, Stephen Kry, Paige Taylor, John Rong, Xiaodong Zhang, Christine Peterson, Steven Frank, David Followill

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

8 authors.

Daniela BrancoDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Stephen KryDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Paige TaylorDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
John RongDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Xiaodong ZhangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Christine PetersonDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Steven FrankDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
David FollowillDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
MD AndersonNCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

Dental amalgams are a common source of artifacts in head and neck (HN) images. Commercial artifact reduction techniques have been offered, but are substantially ineffectual at reducing artifacts from dental amalgams, can produce additional artifacts, provide inaccurate HU information, or require extensive computation time, and thus offer limited clinically utility. The goal of this work was to define and validate a novel algorithm and provide a phantom-based testing as proof of principle. An initial clinical comparison to a vendor's current solution was also performed. The algorithm uses two-angled CT scans in order to generate a single image set with minimal artifacts posterior to the metal implants. The algorithm was evaluated using a phantom simulating a HN patient with dental fillings. Baseline (no artifacts) geometrical measurements of the phantom were taken in the anterior-posterior, left-right, and superior-inferior directions and compared to the metal-corrected images using our algorithm to evaluate possible distortion from application of the algorithm. Mean HU numbers were also compared between the baseline scan and corrected image sets. A similar analysis was performed on the vendor's algorithm for comparison. The algorithm developed in this work successfully preserved the image geometry and HU and corrected the CT metal artifacts in the region posterior to the metal. The average total distortion for all gantry angles in the AP, LR, and SI directions was 0.17, 0.12, and 0.14 mm, respectively. The HU measurements showed significant consistency throughout the different reconstructed images when compared to the baseline image sets. The vendor's algorithm also showed no geometrical distortion but performed inferiorly in the HU number analysis compared to our technique. Our novel metal artifact management algorithm, using CT gantry angle tilts, provides a promising technique for clinical management of metal artifacts from dental amalgam.

Indexed as

AlgorithmsArtifactsHeadHumansPhantoms, ImagingTomography, X-Ray ComputedalgorithmCTgantry anglehead and neckmetal artifact reduction

Identifiers

PMID32506820
PMCPMC7484887

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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.