Evidence map›Paper›PMID 30597725›Full record

ArticleJournal of applied clinical medical physics2019

An additional tilted-scan-based CT metal-artifact-reduction method for radiation therapy planning.

Changhwan Kim, Rizza Pua, Chung-Hwan Lee, Da-In Choi, Byungchul Cho, Sang-Wook Lee, Seungryong Cho, Jungwon Kwak

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. A comparative study of artifact reduction techniques in metal-implanted CT scans.International journal of physiology, pathophysiology and pharmacology · 2026
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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

8 authors.

Changhwan KimDepartment of Nuclear and Quantum Engineering, KAIST, Daejeon, Republic of Korea.
Rizza PuaDepartment of Nuclear and Quantum Engineering, KAIST, Daejeon, Republic of Korea.
Chung-Hwan LeeDepartment of Radiation Oncology, Asan Medical Center, Seoul, Republic of Korea.
Da-In ChoiDepartment of Nuclear and Quantum Engineering, KAIST, Daejeon, Republic of Korea.
Byungchul ChoDepartment of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sang-Wook LeeDepartment of Radiation Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Seungryong ChoDepartment of Nuclear and Quantum Engineering, KAIST, Daejeon, Republic of Korea.
Jungwon KwakDepartment of Radiation Oncology, Asan Medical Center, Seoul, Republic of Korea.

Funding

National Research Foundation of Korea NRF-2015M2A2A6A02045252National Research Foundation of Korea NRF-2015M2A2A6A02045253
6 · The paper itself

Abstract

purposeAs computed tomography (CT) imaging is the most commonly used modality for treatment planning in radiation therapy, metal artifacts in the planning CT images may complicate the target delineation and reduce the dose calculation accuracy. Although current CT scanners do provide certain correction steps, it is a common understanding that there is not a universal solution yet to the metal artifact reduction (MAR) in general. Particularly noting the importance of MAR for radiation treatment planning, we propose a novel MAR method in this work that recruits an additional tilted CT scan and synthesizes nearly metal-artifact-free CT images.

methodsThe proposed method is based on the facts that the most pronounced metal artifacts in CT images show up along the x-ray beam direction traversing multiple metallic objects and that a tilted CT scan can provide complementary information free of such metal artifacts in the earlier scan. Although the tilted CT scan would contain its own metal artifacts in the images, the artifacts may manifest in a different fashion leaving a chance to concatenate the two CT images with the metal artifacts much suppressed. We developed an image processing technique that uses the structural similarity (SSIM) for suppressing the metal artifacts. On top of the additional scan, we proposed to use an existing MAR method for each scan if necessary to further suppress the metal artifacts.

resultsThe proposed method was validated by a simulation study using the pelvic region of an XCAT numerical phantom and also by an experimental study using the head part of the Rando phantom. The proposed method was found to effectively reduce the metal artifacts. Quantitative analyses revealed that the proposed method reduced the mean absolute percentages of the error by up to 86% and 89% in the simulation and experimental studies, respectively.

conclusionsIt was confirmed that the proposed method, using complementary information acquired from an additional tilted CT scan, can provide nearly metal-artifact-free images for the treatment planning.

Indexed as

MetalsPhantoms, ImagingArtifactsHumansImage Processing, Computer-AssistedNeoplasmsOrgans at RiskRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedMetalsCTmetal artifact reductionradiotherapy

Identifiers

PMID30597725
PMCPMC6333137

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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.