Effects of Iterative Reconstruction on Image Quality of Pediatric Body Computed Tomography Images
Autor: | Noriko Kotoura, Rina Muraoka, Yoko Ikeuchi, Shinya Nakano, Masato Kiriki, Katsuhiko Maeda, Shuhei Aoyama |
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Rok vydání: | 2020 |
Předmět: |
Materials science
Noise power spectrum medicine.diagnostic_test Phantoms Imaging Image quality Data Collection Hybrid iterative reconstruction Computed tomography General Medicine Iterative reconstruction Radiation Dosage Optical transfer function medicine Humans Performance function Spatial frequency Child Tomography X-Ray Computed Algorithms Biomedical engineering |
Zdroj: | Japanese Journal of Radiological Technology. 76:1035-1043 |
ISSN: | 1881-4883 0369-4305 |
Popis: | This study evaluated the effects of three types of hybrid iterative reconstruction (IR) on image quality of pediatric body computed tomography images. The image quality components evaluated were noise power spectrum (NPS), task-based modulation transfer function (TTF), and system performance function (SPF). As the IR strength was increased while reducing the radiation dose, the NPS increased in a low-frequency range and the TTF decreased in low-contrast regions. In the low-contrast regions, the calculated SPF decreased over the entire frequency range. Alternatively, in the high-contrast regions, the SPF decreased in the low-frequency regions and increased in the high-frequency regions. The radiation dose reduction using the hybrid IR resulted in the deterioration of the image quality in the low-contrast regions and changes in the spatial frequency characteristics in the high-contrast regions. |
Databáze: | OpenAIRE |
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