Evidence map›Paper›PMID 31957969›Full record

ArticleJournal of applied clinical medical physics2020

A pitfall of using the circular-edge technique with image averaging for spatial resolution measurement in iteratively reconstructed CT images.

Akihiro Narita, Masaki Ohkubo

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

4 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

2 authors.

Akihiro NaritaGraduate School of Health Sciences, Niigata University, Chuo-ku, Niigata, Japan.
Masaki OhkuboGraduate School of Health Sciences, Niigata University, Chuo-ku, Niigata, Japan.

Funding

JSPS KAKENHI JP17K09059
6 · The paper itself

Abstract

The circular-edge technique using a low-contrast cylindrical object is commonly used to measure the modulation transfer functions (MTFs) in computed tomography (CT) images reconstructed with iterative reconstruction (IR) algorithms. This method generally entails averaging multiple images of the cylinder to reduce the image noise. We suspected that the cylinder edge shape depicted in the IR images might exhibit slight deformation with respect to the true shape because of the intrinsic nonlinearity of IR algorithms. Image averaging can reduce the image noise, but does not effectively improve the deformation of the edge shape; thereby causing errors in the MTF measurements. We address this issue and propose a method to correct the MTF. We scanned a phantom including cylindrical objects with a CT scanner (Ingenuity Elite, Philips Healthcare). We obtained cylinder images with iterative model reconstruction (IMR) algorithms. The images suggested that the depicted edge shape deforms and fluctuates depending on slice positions. Because of this deformation, image averaging can potentially cause additional blurring. We define the deformation function D that describes the additional blurring, and obtain D by analyzing multiple images. The MTF measured by the circular-edge method (referred to as MTF') can be thought of as the multiplication of the true MTF by the Fourier transformation (FT) of D. We thus obtain the corrected MTF (MTF

Indexed as

Tomography, X-Ray ComputedAlgorithmsFourier AnalysisHumansImage Processing, Computer-AssistedPhantoms, ImagingResearch DesignSignal Processing, Computer-AssistedSignal-To-Noise RatioTomography Scanners, X-Ray Computedcircular-edge techniquecomputed tomographyiterative reconstruction algorithmmodulation transfer functionspatial resolution

Identifiers

PMID31957969
PMCPMC7020989

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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.