Literature DB >> 24873832

Iterative model reconstruction: improved image quality of low-tube-voltage prospective ECG-gated coronary CT angiography images at 256-slice CT.

Seitaro Oda1, Gaby Weissman2, Mani Vembar3, Wm Guy Weigold4.   

Abstract

OBJECTIVES: To investigate the effects of a new model-based type of iterative reconstruction (M-IR) technique, the iterative model reconstruction, on image quality of prospectively gated coronary CT angiography (CTA) acquired at low-tube-voltage.
METHODS: Thirty patients (16 men, 14 women; mean age 52.2 ± 13.2 years) underwent coronary CTA at 100-kVp on a 256-slice CT. Paired image sets were created using 3 types of reconstruction, i.e. filtered back projection (FBP), a hybrid type of iterative reconstruction (H-IR), and M-IR. Quantitative parameters including CT-attenuation, image noise, and contrast-to-noise ratio (CNR) were measured. The visual image quality, i.e. graininess, beam-hardening, vessel sharpness, and overall image quality, was scored on a 5-point scale. Lastly, coronary artery segments were evaluated using a 4-point scale to investigate the assessability of each segment.
RESULTS: There was no significant difference in coronary arterial CT attenuation among the 3 reconstruction methods. The mean image noise of FBP, H-IR, and M-IR images was 29.3 ± 9.6, 19.3 ± 6.9, and 12.9 ± 3.3 HU, respectively, there were significant differences for all comparison combinations among the 3 methods (p<0.01). The CNR of M-IR was significantly better than of FBP and H-IR images (13.5 ± 5.0 [FBP], 20.9 ± 8.9 [H-IR] and 39.3 ± 13.9 [M-IR]; p<0.01). The visual scores were significantly higher for M-IR than the other images (p<0.01), and 95.3% of the coronary segments imaged with M-IR were of assessable quality compared with 76.7% of FBP- and 86.9% of H-IR images.
CONCLUSIONS: M-IR can provide significantly improved qualitative and quantitative image quality in prospectively gated coronary CTA using a low-tube-voltage.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Coronary CT angiography; Image quality; Iterative reconstruction; Low tube voltage; Radiation dose

Mesh:

Substances:

Year:  2014        PMID: 24873832     DOI: 10.1016/j.ejrad.2014.04.027

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


  21 in total

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2.  Feasibility study of low tube voltage (80 kVp) coronary CT angiography combined with contrast medium reduction using iterative model reconstruction (IMR) on standard BMI patients.

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3.  The usefulness of full-iterative reconstruction algorithm for the visualization of cystic artery on CT angiography.

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4.  Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance.

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5.  256-Slice coronary computed tomographic angiography in patients with atrial fibrillation: optimal reconstruction phase and image quality.

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7.  Coronary CT angiography in obese patients using 3(rd) generation dual-source CT: effect of body mass index on image quality.

Authors:  Stefanie Mangold; Julian L Wichmann; U Joseph Schoepf; Sheldon E Litwin; Christian Canstein; Akos Varga-Szemes; Giuseppe Muscogiuri; Stephen R Fuller; Andrew C Stubenrauch; Konstantin Nikolaou; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2015-12-28       Impact factor: 5.315

8.  Prospective evaluation of the influence of iterative reconstruction on the reproducibility of coronary calcium quantification in reduced radiation dose 320 detector row CT.

Authors:  Andrew D Choi; Eric S Leifer; Jeannie Yu; Sujata M Shanbhag; Kathie Bronson; Andrew E Arai; Marcus Y Chen
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Review 9.  Plaque assessment by coronary CT.

Authors:  Bálint Szilveszter; Csilla Celeng; Pál Maurovich-Horvat
Journal:  Int J Cardiovasc Imaging       Date:  2015-08-18       Impact factor: 2.357

10.  Diagnostic accuracy of coronary CT angiography using 3rd-generation dual-source CT and automated tube voltage selection: Clinical application in a non-obese and obese patient population.

Authors:  Stefanie Mangold; Julian L Wichmann; U Joseph Schoepf; Damiano Caruso; Christian Tesche; Daniel H Steinberg; Akos Varga-Szemes; Andrew C Stubenrauch; Richard R Bayer; Matthew Biancalana; Konstantin Nikolaou; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2016-09-28       Impact factor: 5.315

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