Low-Dose Pelvic Computed Tomography Using Adaptive Iterative Dose Reduction 3-Dimensional Algorithm. Issue 4 (July 2015)

• Record Type: Journal Article
• Authors: Onishi, Hiromitsu; Kockelkoren, Remko; Kim, Tonsok; Hori, Masatoshi; Nakamoto, Atsushi; Tsuboyama, Takahiro; Sakane, Makoto; Tatsumi, Mitsuaki; Uranishi, Ayumi; Tanaka, Toshiya; BSc, Akira Taniguchi; Enchi, Yukihiro; Satoh, Kazuhiko; Tomiyama, Noriyuki
• Is Part Of: Journal of computer assisted tomography. Volume 39:Issue 4(2015)
• Publication Date: 2015-07
• Subjects: Tomography -- Periodicals; Tomography -- Periodicals; Tomography; Periodicals; 616.0757
• DOI: 10.1097/RCT.0000000000000242
• Languages: English
• ISSNs: 0363-8715

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title>Objective</title> <p>To 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.</p> </sec> <sec> <title>Methods</title> <p>Two 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.</p> </sec> <sec> <title>Results</title> <p>Compared 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.</p> </sec> <sec> <title>Conclusions</title> <p>The 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.</p> </sec> </abstract>