Literature DB >> 24261369

Adaptive iterative dose reduction 3D versus filtered back projection in CT: evaluation of image quality.

Raoul M S Joemai1, Wouter J H Veldkamp, Lucia J M Kroft, Irene Hernandez-Giron, Jacob Geleijns.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate image quality with filtered back projection (FBP) and adaptive iterative dose reduction 3D (AIDR 3D).
MATERIALS AND METHODS: Phantom acquisitions were performed at six dose levels to assess spatial resolution, noise, and low-contrast detectability (LCD). Spatial resolution was assessed with the modulation transfer function at high and low contrast levels. Noise power spectrum and SD of attenuation were assessed. LCD was calculated with a mathematic model observer applied to phantom CT images. The subjective image quality of clinical CT scans was assessed by five radiologists.
RESULTS: Compared with FBP, AIDR 3D resulted in substantial noise reduction at all frequencies with a similar shape of the noise power spectrum. Spatial resolution was similar for AIDR 3D and FBP. LCD improved with AIDR 3D, which was associated with a potential average dose reduction of 36% (range, 9-86%). The observer study showed that overall image quality improved and artifacts decreased with AIDR 3D.
CONCLUSION: AIDR 3D performs better than FBP with regard to noise and LCD, resulting in better image quality, and performs similarly with respect to spatial resolution. The evaluation of image quality of clinical CT scans was consistent with the objective assessment of image quality with a phantom. The amount of dose reduction should be investigated for each clinical indication in studies with larger numbers of patients.

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Year:  2013        PMID: 24261369     DOI: 10.2214/AJR.12.9780

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  13 in total

1.  Diagnostic performance of reduced-dose CT with a hybrid iterative reconstruction algorithm for the detection of hypervascular liver lesions: a phantom study.

Authors:  Atsushi Nakamoto; Yoshikazu Tanaka; Hiroshi Juri; Go Nakai; Shushi Yoshikawa; Yoshifumi Narumi
Journal:  Eur Radiol       Date:  2016-12-12       Impact factor: 5.315

2.  Assessment of structural similarity in CT using filtered backprojection and iterative reconstruction: a phantom study with 3D printed lung vessels.

Authors:  Raoul M S Joemai; Jacob Geleijns
Journal:  Br J Radiol       Date:  2017-08-22       Impact factor: 3.039

3.  Periradicular infiltration of the lumbar spine: is iterative reconstruction software necessary to establish ultra-low-dose protocols? A quantitative and qualitative approach.

Authors:  Fabian Henry Jürgen Elsholtz; Lars-Arne Schaafs; Christoph Erxleben; Bernd Hamm; Stefan Markus Niehues
Journal:  Radiol Med       Date:  2018-06-19       Impact factor: 3.469

4.  Added value of a single-energy projection-based metal-artifact reduction algorithm for the computed tomography evaluation of oral cavity cancers.

Authors:  Kenichiro Hirata; Daisuke Utsunomiya; Seitaro Oda; Masafumi Kidoh; Yoshinori Funama; Hideaki Yuki; Morikatsu Yoshida; Yasuyuki Yamashita
Journal:  Jpn J Radiol       Date:  2015-08-19       Impact factor: 2.374

5.  Metal artefact reduction for patients with metallic dental fillings in helical neck computed tomography: comparison of adaptive iterative dose reduction 3D (AIDR 3D), forward-projected model-based iterative reconstruction solution (FIRST) and AIDR 3D with single-energy metal artefact reduction (SEMAR).

Authors:  Koichiro Yasaka; Kouhei Kamiya; Ryusuke Irie; Eriko Maeda; Jiro Sato; Kuni Ohtomo
Journal:  Dentomaxillofac Radiol       Date:  2016-06-22       Impact factor: 2.419

6.  Comparison between human and model observer performance in low-contrast detection tasks in CT images: application to images reconstructed with filtered back projection and iterative algorithms.

Authors:  I Hernandez-Giron; A Calzado; J Geleijns; R M S Joemai; W J H Veldkamp
Journal:  Br J Radiol       Date:  2014-05-19       Impact factor: 3.039

7.  Improved scan method for dental imaging using multidetector computed tomography: a phantom study.

Authors:  Yuki Sakai; Kazutoshi Okamura; Erina Kitamoto; Yukiko N Kami; Takashi Shirasaka; Ryoji Mikayama; Masato Tatsumi; Masatoshi Kondo; Toyoyuki Kato; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2020-04-29       Impact factor: 2.419

8.  Impact of iterative reconstruction vs. filtered back projection on image quality in 320-slice CT coronary angiography: Insights from the CORE320 multicenter study.

Authors:  Ahmed Fareed; Andrea L Vavere; Elke Zimmermann; Yutaka Tanami; Chloe Steveson; Matthew Matheson; Narinder Paul; Melvin Clouse; Christopher Cox; João A C Lima; Armin Arbab-Zadeh
Journal:  Medicine (Baltimore)       Date:  2017-12       Impact factor: 1.817

9.  Image Quality and Radiation Dose of CT Coronary Angiography with Automatic Tube Current Modulation and Strong Adaptive Iterative Dose Reduction Three-Dimensional (AIDR3D).

Authors:  Hesong Shen; Guochao Dai; Mingyue Luo; Chaijie Duan; Wenli Cai; Dan Liang; Xinhua Wang; Dongyun Zhu; Wenru Li; Jianping Qiu
Journal:  PLoS One       Date:  2015-11-23       Impact factor: 3.240

10.  Effect of reconstruction methods and x-ray tube current-time product on nodule detection in an anthropomorphic thorax phantom: A crossed-modality JAFROC observer study.

Authors:  J D Thompson; D P Chakraborty; K Szczepura; A K Tootell; I Vamvakas; D J Manning; P Hogg
Journal:  Med Phys       Date:  2016-03       Impact factor: 4.071

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