Literature DB >> 22304977

Comparison of adaptive statistical iterative and filtered back projection reconstruction techniques in brain CT.

Qingguo Ren1, Sheilesh Kumar Dewan, Ming Li, Jianying Li, Dingbiao Mao, Zhenglei Wang, Yanqing Hua.   

Abstract

PURPOSE: To compare image quality and visualization of normal structures and lesions in brain computed tomography (CT) with adaptive statistical iterative reconstruction (ASIR) and filtered back projection (FBP) reconstruction techniques in different X-ray tube current-time products.
MATERIALS AND METHODS: In this IRB-approved prospective study, forty patients (nineteen men, twenty-one women; mean age 69.5 ± 11.2 years) received brain scan at different tube current-time products (300 and 200 mAs) in 64-section multi-detector CT (GE, Discovery CT750 HD). Images were reconstructed with FBP and four levels of ASIR-FBP blending. Two radiologists (please note that our hospital is renowned for its geriatric medicine department, and these two radiologists are more experienced in chronic cerebral vascular disease than in neoplastic disease, so this research did not contain cerebral tumors but as a discussion) assessed all the reconstructed images for visibility of normal structures, lesion conspicuity, image contrast and diagnostic confidence in a blinded and randomized manner. Volume CT dose index (CTDI(vol)) and dose-length product (DLP) were recorded. All the data were analyzed by using SPSS 13.0 statistical analysis software.
RESULTS: There was no statistically significant difference between the image qualities at 200 mAs with 50% ASIR blending technique and 300 mAs with FBP technique (p>.05). While between the image qualities at 200 mAs with FBP and 300 mAs with FBP technique a statistically significant difference (p<.05) was found.
CONCLUSION: ASIR provided same image quality and diagnostic ability in brain imaging with greater than 30% dose reduction compared with FBP reconstruction technique.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22304977     DOI: 10.1016/j.ejrad.2011.12.041

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  21 in total

1.  Effects of a high-pitch protocol and a hybrid iterative reconstruction algorithm on image quality of cerebral subtracted 3D CT angiography.

Authors:  Yuji Iyama; Takeshi Nakaura; Masafumi Kidoh; Naoto Kiyota; Shouzaburou Uemura; Kazunori Harada; Yasuyuki Yamashita
Journal:  Jpn J Radiol       Date:  2015-09-19       Impact factor: 2.374

2.  Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.

Authors:  Brendan L Eck; Rachid Fahmi; Kevin M Brown; Stanislav Zabic; Nilgoun Raihani; Jun Miao; David L Wilson
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

3.  Six iterative reconstruction algorithms in brain CT: a phantom study on image quality at different radiation dose levels.

Authors:  A Löve; M-L Olsson; R Siemund; F Stålhammar; I M Björkman-Burtscher; M Söderberg
Journal:  Br J Radiol       Date:  2013-09-18       Impact factor: 3.039

4.  Survey of volume CT dose index in Japan in 2014.

Authors:  Y Matsunaga; A Kawaguchi; K Kobayashi; Y Kinomura; M Kobayashi; Y Asada; K Minami; S Suzuki; K Chida
Journal:  Br J Radiol       Date:  2015-06-04       Impact factor: 3.039

5.  Radiation dose reduction in cerebral CT perfusion imaging using iterative reconstruction.

Authors:  Joris M Niesten; Irene C van der Schaaf; Alan J Riordan; Hugo W A M de Jong; Alexander D Horsch; Daniel Eijspaart; Ewoud J Smit; Willem P T M Mali; Birgitta K Velthuis
Journal:  Eur Radiol       Date:  2013-10-15       Impact factor: 5.315

6.  Iterative reconstruction improves image quality and preserves diagnostic accuracy in the setting of blunt solid organ injuries.

Authors:  Scott D Steenburg; Scott Persohn; Changyu Shen; Jeff W Dunkle; Sean D Gussick; Matthew J Petersen; Amy Wisnewski-Rhodes; Ryan T Whitesell
Journal:  Emerg Radiol       Date:  2014-06-07

7.  Comparison of Iterative Model Reconstruction versus Filtered Back-Projection in Pediatric Emergency Head CT: Dose, Image Quality, and Image-Reconstruction Times.

Authors:  R N Southard; D M E Bardo; M H Temkit; M A Thorkelson; R A Augustyn; C A Martinot
Journal:  AJNR Am J Neuroradiol       Date:  2019-04-11       Impact factor: 3.825

8.  Reaching for better image quality and lower radiation dose in head and neck CT: advanced modeled and sinogram-affirmed iterative reconstruction in combination with tube voltage adaptation.

Authors:  Andrea I Schmid; Michael Uder; Michael M Lell
Journal:  Dentomaxillofac Radiol       Date:  2016-09-08       Impact factor: 2.419

9.  Model-based iterative reconstruction for detection of subtle hypoattenuation in early cerebral infarction: a phantom study.

Authors:  Mitsuo Nishizawa; Hisashi Tanaka; Yoshiyuki Watanabe; Yuuki Kunitomi; Akio Tsukabe; Noriyuki Tomiyama
Journal:  Jpn J Radiol       Date:  2014-11-26       Impact factor: 2.374

10.  Estimation of noise properties for TV-regularized image reconstruction in computed tomography.

Authors:  Adrian A Sánchez
Journal:  Phys Med Biol       Date:  2015-08-26       Impact factor: 3.609

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