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Abstract

Background

Knowledge-based iterative model reconstruction (IMR) is known to allow radiation dose reduction while preserving image quality.

Purpose

To investigate the effect of IMR on coronary computed tomography angiography (CCTA) by comparing it with filtered back projection (FBP) and hybrid iterative reconstruction (HIR).

Material and Methods

Forty-five patients (group A) who underwent CCTA with prospective electrocardiogram (ECG) triggering at 80 kVp were included. All images were reconstructed using three algorithms: FBP, HIR, and IMR. The control group comprised 45 patients (group B) who underwent CCTA at 100 kVp; their images were reconstructed with HIR alone. Objective and subjective image quality was assessed by two radiologists.

Results

In group A, the signal-to-noise and contrast-to-noise ratios were significantly higher for images reconstructed with IMR than with HIR or FBP (P < 0.001). IMR was also superior to HIR and FBP in subjective image quality analyses, including image noise, vessel sharpness, beam-hardening artifact, and overall quality (P < 0.001). Moreover, the images reconstructed using IMR in group A had superior image quality with less radiation exposure than those reconstructed using HIR in group B on both objective and subjective analyses (P < 0.001). The mean attenuation values were also significantly higher in group A than in group B (P < 0.001).

Conclusion

Compared with HIR and FBP, IMR provided higher quality images with less radiation exposure in CCTA, using low kilovoltage and prospective ECG triggering.

Keywords

Coronary computed tomography angiography iterative model reconstruction radiation dose image quality

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References

Taylor

Cerqueira

Hodgson

et al.

ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 appropriate use criteria for cardiac computed tomography. A report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance. J Am Coll Cardiol 2010; 56: 1864–1894.

Einstein

Henzlova

Rajagopalan

. Estimating risk of cancer associated with radiation exposure from 64-slice computed tomography coronary angiography. JAMA 2007; 298: 317–323.

Hausleiter

Meyer

Hadamitzky

et al.

Radiation dose estimates from cardiac multislice computed tomography in daily practice: impact of different scanning protocols on effective dose estimates. Circulation 2006; 113: 1305–1310.

Hausleiter

Meyer

Hermann

et al.

Estimated radiation dose associated with cardiac CT angiography. JAMA 2009; 301: 500–507.

Leipsic

Heilbron

Hague

. Iterative reconstruction for coronary CT angiography: finding its way. Int J Cardiovasc Imaging 2012; 28: 613–620.

Shuman

Branch

May

et al.

Prospective versus retrospective ECG gating for 64-detector CT of the coronary arteries: comparison of image quality and patient radiation dose. Radiology 2008; 248: 431–437.

Kim

et al.

Assessment of image quality and radiation dose in prospective ECG-triggered coronary CT angiography compared with retrospective ECG-gated coronary CT angiography. Int J Cardiovasc Imaging 2010; 26(Suppl 1): 93–101.

Law

Yang

Chen

et al.

Retrospective gating vs. prospective triggering for noninvasive coronary angiography: Assessment of image quality and radiation dose using a 256-slice CT scanner with 270 ms gantry rotation. Acad Radiol 2011; 18: 31–39.

Löve

Olsson

Siemund

et al.

Six iterative reconstruction algorithms in brain CT: a phantom study on image quality at different radiation dose levels. Br J Radiol 2013; 86: 20130388–20130388.

10.

Zhang

Yang

Song

et al.

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. Br J Radiol 2016; 89: 20150766–20150766.

11.

Benz DC, Fuchs TA, Grani C, et al. Head-to-head comparison of adaptive statistical and model-based iterative reconstruction algorithms for submillisievert coronary CT angiography. Eur Heart J Cardiovasc Imaging 2017. doi:10.1093/ehjci/jex008.

12.

Iyama

Nakaura

Yokoyama

et al.

Low-contrast and low-radiation dose protocol in cardiac computed tomography: usefulness of low tube voltage and knowledge-based iterative model reconstruction algorithm. J Comput Assist Tomogr 2016; 40: 941–947.

13.

Park

Lee

et al.

The feasibility of sub-millisievert coronary CT angiography with low tube voltage, prospective ECG gating, and a knowledge-based iterative model reconstruction algorithm. Int J Cardiovasc Imaging 2015; 31(Suppl. 2): 197–203.

14.

Oda

Utsunomiya

Funama

et al.

A knowledge-based iterative model reconstruction algorithm: can super-low-dose cardiac CT be applicable in clinical settings?

Acad Radiol 2014; 21: 104–110.

15.

Deak

Grimm

Treitl

et al.

Filtered back projection, adaptive statistical iterative reconstruction, and a model-based iterative reconstruction in abdominal CT: an experimental clinical study. Radiology 2013; 266: 197–206.

16.

Cha

Jeong

Choi

et al.

Iterative reconstruction: comparison of techniques for reduced-dose liver computed tomography following transarterial chemoembolization for hepatocellular carcinoma. Acta Radiol 2016; 57: 1429–1437.

17.

Andreini

Mushtaq

Conte

et al.

Coronary CT angiography with 80 kV tube voltage and low iodine concentration contrast agent in patients with low body weight. J Cardiovasc Comput Tomogr 2016; 10: 322–326.

18.

Liu

et al.

Image quality evaluation of iterative model reconstruction on low tube voltage (80 kVp) coronary CT angiography in an animal study. Acta Radiol 2016; 57: 170–177.

19.

Chang

Lee

et al.

Assessment of a model-based, iterative reconstruction algorithm (MBIR) regarding image quality and dose reduction in liver computed tomography. Invest Radiol 2013; 48: 598–606.

20.

Zheng

Liu

Wei

et al.

Low concentration contrast medium for dual-source computed tomography coronary angiography by a combination of iterative reconstruction and low-tube-voltage technique: feasibility study. Eur J Radiol 2014; 83: e92–99.

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Knowledge-based iterative model reconstruction in coronary computed tomography angiography: comparison with hybrid iterative reconstruction and filtered back projection

Abstract

Background

Purpose

Material and Methods

Results

Conclusion

Keywords

Get full access to this article

References

Supplementary Material