ArticleJournal of computer assisted tomography2017
Noise Power Characteristics of a Micro-Computed Tomography System.
Article in Journal of computer assisted tomography, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
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.
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Who cites it
5 citing papers in PubMed.
- Resolution-noise characteristics of common FDK filter kernels: A practical reference for preclinical cone-beam micro-CT.PloS one · 2026Article
- A novel 3D volumetric method for directly quantifying porosity and pore space morphology in flocculated suspended sediments.MethodsX · 2023Article
- Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence.Nature nanotechnology · 2022Review
- Image quality assessment of a photon counting detector in x-ray projection imaging.Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment · 2019Article
- Tutorial on X-ray photon counting detector characterization.Journal of X-ray science and technology · 2018Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectiveThe aim of this study was to investigate the noise power properties of a micro-computed tomography (micro-CT) system under different operating conditions.
methodsA commercial micro-CT was used in the study that used a flat panel detector with a 127-μm-pixel pitch and a micro-focus x-ray tube. Conical tubes of various diameters were used under different acquisition conditions. Multidimensional noise power spectrums were used as a metric to investigate the noise properties of the system. Noise power spectrum was calculated from the difference data generated by subtraction of 2 identical scans. The noise properties with respect to various parameters that include the impact of number of projections, x-ray spectra, milliampere-second, slice location, object diameter, voxel size, geometric magnification (M), back-projection filters, and reconstruction magnification (Mrecon) were studied.
resultsAt a same isocentric exposure rate of 270 mR/s, the noise power was much lower for the image reconstructed with 3672 views (122 seconds) as compared with the 511 views (17 seconds), whereas at a fixed isocentric exposure of 4600 mR, the noise power levels were almost similar. Image noise with a 50-kV beam was higher as compared with the 90-kV beam at a same isocentric exposure. Image noise from a 16-mm-diameter conical tube was much lower as compared with the 28- and 56-mm tubes under identical isocentric exposures. The choice of back-projection filter influences noise power spectrum curves in terms of width and amplitudes. Reconstruction magnification applied during the reconstruction process increased the noise power at lower spatial frequencies but reduced the noise power at higher spatial frequencies. It can be established that, for small details corresponding to high spatial frequencies, reconstruction magnification can provide an improved signal-to-noise ratio. At all spatial frequencies, the in-plane images had lower noise power levels as compared with the z-plane images.
conclusionsThe noise power properties investigated in this study provide important image quality references for refined cone beam system development, optimization, and operations.
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