Comparison of image quality between filtered back-projection and the adaptive statistical and novel model-based iterative reconstruction techniques in abdominal CT for renal calculi
| Autor: | Varut Vardhanabhuti, Sumaira Ilyas, Carl Roobottom, Catherine Gutteridge, S J Freeman |
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| Rok vydání: | 2013 |
| Předmět: |
Radon transform
business.industry Image quality Ultrasound Image processing Iterative reconstruction computer.software_genre Noise Ureter medicine.anatomical_structure Urolithiasis Image enhancement medicine Image noise Original Article Radiology Nuclear Medicine and imaging Data mining Nuclear medicine business Computed tomography computer |
| Zdroj: | Insights into Imaging |
| ISSN: | 1869-4101 |
| DOI: | 10.1007/s13244-013-0273-5 |
| Popis: | Objectives To compare image quality on computed tomographic (CT) images acquired with filtered back-projection (FBP), adaptive statistical iterative reconstruction (ASIR) and model-based iterative reconstruction (MBIR) techniques in CT kidney/ureter/bladder (KUB) examination. Methods Eighteen patients underwent standard protocol CT KUB at our institution. The same raw data were reconstructed using FBP, ASIR and MBIR. Objective [mean image noise, contrast-to-noise ratio (CNR) for kidney and mean attenuation values of subcutaneous fat] and subjective image parameters (image noise, image contrast, overall visibility of kidneys/ureters/bladder, visibility of small structures, and overall diagnostic confidence) were assessed using a scoring system from 1 (best) to 5 (worst). Results Objective image measurements revealed significantly less image noise and higher CNR and the same fat attenuation values for the MBIR technique (P 0.05), while there was a significant difference between ASIR vs. MBIR (P |
| Databáze: | OpenAIRE |
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