ArticleJournal of medical physics
Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography.
Article in Journal of medical physics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- Phantom evaluation of small-pixel effect in ultra-high-resolution photon-counting CT: Noise texture and high-contrast spatial resolution.Journal of applied clinical medical physics · 2026Article
- Optimizing Positron Emission Tomography-Computed Tomography Image Quality with Iterative Reconstruction: A NEMA Phantom Study.Journal of medical physicsArticle
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Photon-counting computed tomography (CT) is equipped with an adaptive iterative reconstruction method called quantum iterative reconstruction (QIR), which allows the intensity to be changed during image reconstruction. It is known that the reconstruction conditions of CT images affect the analysis results when performing radiomic analysis. The aim of this study is to investigate the effect of QIR intensity on image quality and radiomic analysis of renal cell carcinoma (RCC). Materials and Methods: The QIR intensities were selected as off, 2 and 4. The image quality evaluation items considered were task-based transfer function (TTF), noise power spectrum (NPS), and low-contrast object specific contrast-to-noise ratio (CNR Results: For image quality evaluation, TTF and NPS values were lower and CNR Conclusion: It was confirmed that the intensity of the QIR intensity affects both the image quality and the radiomic analysis.
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