Literature DB >> 21543174

Iterative reconstruction reduces abdominal CT dose.

Anne Catrine Trægde Martinsen1, Hilde Kjernlie Sæther, Per Kristian Hol, Dag Rune Olsen, Per Skaane.   

Abstract

OBJECTIVE: In medical imaging, lowering radiation dose from computed tomography scanning, without reducing diagnostic performance is a desired achievement. Iterative image reconstruction may be one tool to achieve dose reduction. This study reports the diagnostic performance using a blending of 50% statistical iterative reconstruction (ASIR) and filtered back projection reconstruction (FBP) compared to standard FBP image reconstruction at different dose levels for liver phantom examinations.
METHODS: An anthropomorphic liver phantom was scanned at 250, 185, 155, 140, 120 and 100 mAs, on a 64-slice GE Lightspeed VCT scanner. All scans were reconstructed with ASIR and FBP. Four readers evaluated independently on a 5-point scale 21 images, each containing 32 test sectors. In total 672 areas were assessed. ROC analysis was used to evaluate the differences.
RESULTS: There was a difference in AUC between the 250 mAs FBP images and the 120 and 100 mAs FBP images. ASIR reconstruction gave a significantly higher diagnostic performance compared to standard reconstruction at 100 mAs.
CONCLUSION: A blending of 50-90% ASIR and FBP may improve image quality of low dose CT examinations of the liver, and thus give a potential for reducing radiation dose.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21543174     DOI: 10.1016/j.ejrad.2011.04.021

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


  31 in total

1.  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

2.  Image quality comparison of two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms and filtered back projection in routine liver CT.

Authors:  Li-Hong Chen; Chao Jin; Jian-Ying Li; Ge-Liang Wang; Yong-Jun Jia; Hai-Feng Duan; Ning Pan; Jianxin Guo
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

3.  Iterative reconstruction techniques for computed tomography part 2: initial results in dose reduction and image quality.

Authors:  Martin J Willemink; Tim Leiner; Pim A de Jong; Linda M de Heer; Rutger A J Nievelstein; Arnold M R Schilham; Ricardo P J Budde
Journal:  Eur Radiol       Date:  2013-01-16       Impact factor: 5.315

4.  Iterative reconstruction techniques for computed tomography Part 1: technical principles.

Authors:  Martin J Willemink; Pim A de Jong; Tim Leiner; Linda M de Heer; Rutger A J Nievelstein; Ricardo P J Budde; Arnold M R Schilham
Journal:  Eur Radiol       Date:  2013-01-12       Impact factor: 5.315

5.  Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT.

Authors:  K L Dobeli; S J Lewis; S R Meikle; D L Thiele; P C Brennan
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

6.  Comparing five different iterative reconstruction algorithms for computed tomography in an ROC study.

Authors:  Kristin Jensen; Anne Catrine T Martinsen; Anders Tingberg; Trond Mogens Aaløkken; Erik Fosse
Journal:  Eur Radiol       Date:  2014-07-22       Impact factor: 5.315

7.  Emerging techniques for dose optimization in abdominal CT.

Authors:  Ravi K Kaza; Joel F Platt; Mitchell M Goodsitt; Mahmoud M Al-Hawary; Katherine E Maturen; Ashish P Wasnik; Amit Pandya
Journal:  Radiographics       Date:  2014 Jan-Feb       Impact factor: 5.333

8.  Development of pediatric CT protocols for specific scanners: why bother?

Authors:  Dianna D Cody
Journal:  Pediatr Radiol       Date:  2014-10-11

9.  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

10.  The future developments in gastrointestinal radiology.

Authors:  Emma L Helbren; Andrew A Plumb; Stuart A Taylor
Journal:  Frontline Gastroenterol       Date:  2012-05-31
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