@article{2986028,
    title = "Patient radiation exposure and image quality evaluation with the use of iDose4 iterative reconstruction algorithm in chest-abdomen-pelvis CT examinations",
    author = "Ploussi, A. and Alexopoulou, E. and Economopoulos, N. and Argentos, S.I. and Tsitsia, V. and Arapakis, I. and Kordolaimi, S. and Seimenis, I. and Efstathopoulos, E.P.",
    journal = "Radiation Protection Dosimetry",
    year = "2014",
    volume = "158",
    number = "4",
    pages = "399-405",
    issn = "0144-8420, 1742-3406",
    doi = "10.1093/rpd/nct242",
    keywords = "abdominal radiography;  aged;  algorithm;  article;  artifact;  computer assisted diagnosis;  computer assisted tomography;  female;  human;  image quality;  male;  methodology;  middle aged;  pelvis;  radiation dose;  radiography;  radiometry;  signal noise ratio;  thorax radiography, Aged;  Algorithms;  Artifacts;  Female;  Humans;  Male;  Middle Aged;  Pelvis;  Phantoms, Imaging;  Radiation Dosage;  Radiographic Image Enhancement;  Radiographic Image Interpretation, Computer-Assisted;  Radiography, Abdominal;  Radiography, Thoracic;  Radiometry;  Signal-To-Noise Ratio;  Tomography, X-Ray Computed",
    abstract = "The aim of this study is to evaluate the effect of iDose4 iterative reconstruction algorithm on radiation dose and imaging quality at chest-abdomen-pelvis (CAP) CT examinations. Seventeen patients were considered; all patients had a previous CT scan with the standard filter back-projection (FBP) protocol and a follow-up scan with the iDose4 protocol at the same scanner. Image noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were objectively calculated. Two radiologists evaluated noise, sharpness, contrast, diagnostic confidence and artefacts. Radiation exposure quantities were calculated. iDose4 resulted in 46 % dose reduction combined with significantly lower noise and higher SNR and CNR compared with FBP. iDose4 images had significantly lower subjective image noise and enhanced sharpness and contrast. Diagnostic confidence was high and image artefacts were minor for both algorithms. iDose4 provides great potential for reducing patient radiation burden while improving imaging quality in CAP CT examinations. © The Author 2013. Published by Oxford University Press. All rights reserved."
}