ArticleRadiological physics and technology2014
Spatial resolution measurement for iterative reconstruction by use of image-averaging techniques in computed tomography.
Article in Radiological physics and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- Influence of deep learning-based super-resolution reconstruction on Agatston score.European radiology · 2025Article
- Automated Task-Transfer Function Measurement for CT Image Quality Assessment Based on AAPM TG 233.Journal of imaging · 2025Article
- Noise-related inaccuracies in the quantitative evaluation of CT artifacts.Radiological physics and technology · 2025Article
- Low-contrast lesion detection in neck CT: a multireader study comparing deep learning, iterative, and filtered back projection reconstructions using realistic phantoms.European radiology experimental · 2024Article
- Physical characteristics of deep learning-based image processing software in computed tomography: a phantom study.Physical and engineering sciences in medicine · 2023Article
- Noise reduction performance of a deep learning-based reconstruction in brain computed tomography images acquired with organ-based tube current modulation.Physical and engineering sciences in medicine · 2023Article
- An AI-based universal phantom analysis method based on XML-SVG wireframes with novel functional object identifiers.Physics in medicine and biology · 2023Article
- Image-quality characteristics in the longitudinal direction from different image-reconstruction algorithms during single-rotation volume acquisition on head computed tomography: A phantom study.Acta radiologica open · 2023Article
- Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study.Radiological physics and technology · 2023Article
- Quantitative measurements of emphysema in ultra-high resolution computed tomography using model-based iterative reconstruction in comparison to that using hybrid iterative reconstruction.Physical and engineering sciences in medicine · 2022Article
- Method for determining slice sensitivity profile of iterative reconstruction CT images using low-contrast sphere phantom.Radiological physics and technology · 2021Article
- Assessment of the image quality of virtual monochromatic spectral computed tomography images: a phantom study considering object contrast, radiation dose, and frequency characteristics.Radiological physics and technology · 2021Article
- Article
- Performance of clinically available deep learning image reconstruction in computed tomography: a phantom study.Journal of medical imaging (Bellingham, Wash.) · 2020Article
- A pitfall of using the circular-edge technique with image averaging for spatial resolution measurement in iteratively reconstructed CT images.Journal of applied clinical medical physics · 2020Article
- Quantitative and qualitative evaluation of hybrid iterative reconstruction, with and without noise power spectrum models: A phantom study.Journal of applied clinical medical physics · 2018Article
- Radiation dose optimization for the bolus tracking technique in abdominal computed tomography: usefulness of real-time iterative reconstruction for monitoring scan.Radiological physics and technology · 2017Article
- Assessment of Uncertainty Depending on Various Conditions in Modulation Transfer Function Calculation Using the Edge Method.Journal of medical physicsArticle
- Investigating the Effects of Reconstruction Conditions on Image Quality and Radiomic Analysis in Photon-counting Computed Tomography.Journal of medical physicsArticle
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5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The purpose of our study was to investigate the validity of a spatial resolution measuring method that uses a combination of a bar-pattern phantom and an image-averaging technique, and to evaluate the spatial resolution property of iterative reconstruction (IR) images with middle-contrast (50 HU) objects. We used computed tomography (CT) images of the bar-pattern phantom reconstructed by the IR technology Adaptive Iterative Dose Reduction 3D (AIDR 3D), which was installed in the multidetector CT system Aquilion ONE (Toshiba Medical Systems, Otawara, Japan). The contrast of the bar-pattern image was set to 50 HU, which is considered to be a middle contrast that requires higher spatial resolution clinically. We employed an image-averaging technique to eliminate the influence of image noise, and we obtained averaged images of the bar-pattern phantom with sufficiently low noise. Modulation transfer functions (MTFs) were measured from the images. The conventional wire method was also used for comparison; in this method, AIDR 3D showed MTF values equivalent to those of filtered back projection. For the middle-contrast condition, the results showed that the MTF of AIDR 3D decreased with the strength of IR processing. Further, the MTF of AIDR 3D decreased with dose reduction. The image-averaging technique used was effective for correct evaluation of the spatial resolution for middle-contrast objects in IR images. The results obtained by our method clarified that the resolution preservation of AIDR 3D was not sufficient for middle-contrast objects.
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