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.
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.
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4 citing papers in PubMed.
- Assessment of image quality and detectability in computed tomography: Inter-laboratory comparison of Fourier-based metrics.Journal of applied clinical medical physics · 2026Article
- Reduction of metal artefacts from bilateral hip prostheses during lower extremity computed tomography angiography: an experimental phantom study.Journal of medical radiation sciences · 2024Article
- Analysis of the precision of modulation transfer function measurements with a circular edge: influence of object circularity.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- Simulation Analysis on the Performance of a Circular-Edge Technique in Measurements of the Modulation Transfer Function.Journal of medical physicsArticle
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2 authors.
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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
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