• J Comput Assist Tomogr · Jul 2015

    Low-Dose Pelvic Computed Tomography Using Adaptive Iterative Dose Reduction 3-Dimensional Algorithm: A Phantom Study.

    • Hiromitsu Onishi, Remko Kockelkoren, Tonsok Kim, Masatoshi Hori, Atsushi Nakamoto, Takahiro Tsuboyama, Makoto Sakane, Mitsuaki Tatsumi, Ayumi Uranishi, Toshiya Tanaka, Akira Taniguchi, Yukihiro Enchi, Kazuhiko Satoh, and Noriyuki Tomiyama.
    • From the *Department of Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan; †Faculty of Medical Sciences, University of Groningen, MWF-Complex, Groningen, the Netherlands, ‡Toshiba Medical Systems Corporation, Otawara-Shi, Tochigi, Japan; and §Division of Radiology, Department of Medical Technology, Osaka University Hospital, Suita, Osaka, Japan.
    • J Comput Assist Tomogr. 2015 Jul 1; 39 (4): 629-34.

    ObjectiveTo evaluate the image quality and radiation dose reduction in pelvic computed tomography (CT) achieved with an adaptive iterative dose reduction 3-dimensional (AIDR 3D) algorithm using a phantom model.MethodsTwo phantoms were scanned using a 320-detector row CT scanner with 8 tube current levels, and the images were reconstructed with a standard filtered back projection (FBP) algorithm and with an AIDR 3D algorithm.ResultsCompared with FBP, AIDR 3D reduced image noise and improved contrast-to-noise ratios. The diagnostic performance for detection of low-contrast targets of AIDR 3D images obtained with 100 mA at 120 kVp was almost as good as that of the FBP images obtained with 200 mA.ConclusionsThe AIDR 3D algorithm substantially reduced image noise and improved the image quality of pelvic CT images compared with those obtained with the FBP algorithm and can thus be considered a promising technique for low-dose pelvic CT examinations.

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