Literature DB >> 23721137

New scanning technique using Adaptive Statistical Iterative Reconstruction (ASIR) significantly reduced the radiation dose of cardiac CT.

Odgerel Tumur1, Kean Soon, Fraser Brown, Marcus Mykytowycz.   

Abstract

INTRODUCTION: The aims of our study were to evaluate the effect of application of Adaptive Statistical Iterative Reconstruction (ASIR) algorithm on the radiation dose of coronary computed tomography angiography (CCTA) and its effects on image quality of CCTA and to evaluate the effects of various patient and CT scanning factors on the radiation dose of CCTA.
METHODS: This was a retrospective study that included 347 consecutive patients who underwent CCTA at a tertiary university teaching hospital between 1 July 2009 and 20 September 2011. Analysis was performed comparing patient demographics, scan characteristics, radiation dose and image quality in two groups of patients in whom conventional Filtered Back Projection (FBP) or ASIR was used for image reconstruction.
RESULTS: There were 238 patients in the FBP group and 109 patients in the ASIR group. There was no difference between the groups in the use of prospective gating, scan length or tube voltage. In ASIR group, significantly lower tube current was used compared with FBP group, 550 mA (450-600) vs. 650 mA (500-711.25) (median (interquartile range)), respectively, P < 0.001. There was 27% effective radiation dose reduction in the ASIR group compared with FBP group, 4.29 mSv (2.84-6.02) vs. 5.84 mSv (3.88-8.39) (median (interquartile range)), respectively, P < 0.001. Although ASIR was associated with increased image noise compared with FBP (39.93 ± 10.22 vs. 37.63 ± 18.79 (mean ± standard deviation), respectively, P < 0.001), it did not affect the signal intensity, signal-to-noise ratio, contrast-to-noise ratio or the diagnostic quality of CCTA.
CONCLUSION: Application of ASIR reduces the radiation dose of CCTA without affecting the image quality.
© 2013 The Authors. Journal of Medical Imaging and Radiation Oncology © 2013 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Mesh:

Year:  2013        PMID: 23721137     DOI: 10.1111/1754-9485.12019

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  8 in total

1.  Effect of the forward-projected model-based iterative reconstruction solution algorithm on image quality and radiation dose in pediatric cardiac computed tomography.

Authors:  Yukako Nishiyama; Keiji Tada; Yuichi Nishiyama; Hiroshi Mori; Mitsunari Maruyama; Takashi Katsube; Nobuko Yamamoto; Hidekazu Kanayama; Yasushi Yamamoto; Hajime Kitagaki
Journal:  Pediatr Radiol       Date:  2016-08-16

2.  Radiation dose reduction in paediatric coronary computed tomography: assessment of effective dose and image quality.

Authors:  Bouchra Habib Geryes; Raphael Calmon; Diala Khraiche; Nathalie Boddaert; Damien Bonnet; Francesca Raimondi
Journal:  Eur Radiol       Date:  2015-10-03       Impact factor: 5.315

Review 3.  The role of advanced reconstruction algorithms in cardiac CT.

Authors:  Sandra S Halliburton; Yuki Tanabe; Sasan Partovi; Prabhakar Rajiah
Journal:  Cardiovasc Diagn Ther       Date:  2017-10

4.  Pilot study of the multicentre DISCHARGE Trial: image quality and protocol adherence results of computed tomography and invasive coronary angiography.

Authors:  Gianluca De Rubeis; Adriane E Napp; Peter Schlattmann; Jacob Geleijns; Michael Laule; Henryk Dreger; Klaus Kofoed; Mathias Sørgaard; Thomas Engstrøm; Hans Henrik Tilsted; Alberto Boi; Michele Porcu; Stefano Cossa; José F Rodríguez-Palomares; Filipa Xavier Valente; Albert Roque; Gudrun Feuchtner; Fabian Plank; Cyril Štěchovský; Theodor Adla; Stephen Schroeder; Thomas Zelesny; Matthias Gutberlet; Michael Woinke; Mihály Károlyi; Júlia Karády; Patrick Donnelly; Peter Ball; Jonathan Dodd; Mark Hensey; Massimo Mancone; Andrea Ceccacci; Marina Berzina; Ligita Zvaigzne; Gintare Sakalyte; Algidas Basevičius; Małgorzata Ilnicka-Suckiel; Donata Kuśmierz; Rita Faria; Vasco Gama-Ribeiro; Imre Benedek; Teodora Benedek; Filip Adjić; Milenko Čanković; Colin Berry; Christian Delles; Erica Thwaite; Gershan Davis; Juhani Knuuti; Mikko Pietilä; Cezary Kepka; Mariusz Kruk; Radosav Vidakovic; Aleksandar N Neskovic; Iñigo Lecumberri; Ignacio Diez Gonzales; Balazs Ruzsics; Mike Fisher; Marc Dewey; Marco Francone
Journal:  Eur Radiol       Date:  2019-12-16       Impact factor: 5.315

5.  Repeated head CT in the neurosurgical intensive care unit: feasibility of sinogram-affirmed iterative reconstruction-based ultra-low-dose CT for surveillance.

Authors:  I Corcuera-Solano; A H Doshi; A Noor; L N Tanenbaum
Journal:  AJNR Am J Neuroradiol       Date:  2014-02-20       Impact factor: 3.825

6.  Radiation exposure of ovarian cancer patients: contribution of CT examinations performed on different MDCT (16 and 64 slices) scanners and image quality evaluation: an observational study.

Authors:  Stefania Rizzo; Daniela Origgi; Sarah Brambilla; Federica De Maria; Riccardo Foà; Sara Raimondi; Nicoletta Colombo; Massimo Bellomi
Journal:  Medicine (Baltimore)       Date:  2015-05       Impact factor: 1.889

7.  Impact of CT reconstruction algorithm on auto-segmentation performance.

Authors:  Claudia Miller; Daniel Mittelstaedt; Noel Black; Paul Klahr; Siamak Nejad-Davarani; Heinrich Schulz; Liran Goshen; Xiaoxia Han; Ahmed I Ghanem; Eric D Morris; Carri Glide-Hurst
Journal:  J Appl Clin Med Phys       Date:  2019-09       Impact factor: 2.102

8.  Tradeoff between noise reduction and inartificial visualization in a model-based iterative reconstruction algorithm on coronary computed tomography angiography.

Authors:  Kenichiro Hirata; Daisuke Utsunomiya; Masafumi Kidoh; Yoshinori Funama; Seitaro Oda; Hideaki Yuki; Yasunori Nagayama; Yuji Iyama; Takeshi Nakaura; Daisuke Sakabe; Kenichi Tsujita; Yasuyuki Yamashita
Journal:  Medicine (Baltimore)       Date:  2018-05       Impact factor: 1.889

  8 in total

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