Evidence map›Paper›PMID 30207053›Full record

ArticleJournal of applied clinical medical physics2018

Impact of a novel exponential weighted 4DCT reconstruction algorithm.

Eric D Morris, Joshua P Kim, Paul Klahr, Carri K Glide-Hurst

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2018. 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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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Eric D MorrisDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, USA.
Joshua P KimDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, USA.
Paul KlahrComputed Tomography and Advanced Molecular Imaging Business Unit, Philips Healthcare, Cleveland, Ohio, USA.
Carri K Glide-HurstDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, USA.

Funding

Development of Anatomical Patient Models to Facilitate MR-only Treatment PlanningR01CA204189 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI GLIDE-HURST, CARRI KAYE · 2016 to 2020
$1.5M
Henry Ford Health SystemNational Cancer Institute of the National Institutes of Health R01CA204189NCI NIH HHS R01 CA204189Philips Medical Systems
6 · The paper itself

Abstract

purposeThis work characterizes a novel exponential 4DCT reconstruction algorithm (EXPO), in phantom and patient, to determine its impact on image quality as compared to the standard cosine-squared weighted 4DCT reconstruction.

methodsA motion platform translated objects in the superior-inferior (S-I) direction at varied breathing rates (8-20 bpm) and couch pitches (0.06-0.1) to evaluate interplay between parameters. Ten-phase 4DCTs were acquired and data were reconstructed with cosine squared and EXPO weighting. To quantify the magnitude of image blur, objects were translated in the anterior-posterior (A-P) and S-I directions for full-width half maximum (FWHM) analysis between both 4DCT algorithms and a static case. 4DCT sinogram data for 10 patients were retrospectively reconstructed using both weighting factors. Image subtractions elucidated intensity and boundary differences. Subjective image quality grading (presence of image artifacts, noise, spatial resolution (i.e., lung/liver boundary sharpness), and overall image quality) was conducted yielding 200 evaluations.

resultsAfter taking static object size into account, the FWHM of EXPO reconstructions in the A-P direction was 3.3 ± 1.7 mm (range: 0-4.9) as compared to cosine squared 9.8 ± 4.0 mm (range: 2.6-14.4). The FWHM of objects translated in the S-I direction reconstructed with EXPO agreed better with the static FWHM than the cosine-squared reconstructions. Slower breathing periods, faster couch pitches, and intermediate 4DCT phases had the largest reductions of blurring with EXPO. 18 of 60 comparisons of artifacts were improved with EXPO reconstruction, whereas no appreciable changes were observed in image quality scores. In 18 of 20 cases, EXPO provided sharper images although the reduced projections also increased baseline noise.

conclusionExponential weighted 4DCT offers potential for reducing image blur (i.e., improving image sharpness) in 4DCT with a tendency to reduce artifacts. Future work will involve evaluating the impact on treatment planning including delineation ability and dose calculation.

Indexed as

Phantoms, ImagingAbdominal NeoplasmsAlgorithmsBreast NeoplasmsFemaleFollow-Up StudiesFour-Dimensional Computed TomographyHumansImage Processing, Computer-AssistedLung NeoplasmsMovementOrgans at RiskPrognosisRadiometryRadiotherapy DosageRadiotherapy, Intensity-Modulated4DCTartifactsreconstruction

Identifiers

PMID30207053
PMCPMC6236850

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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.