Current and Future Post-Processing and Reconstruction Methods for Improved Image Quality in Coronary Computed Tomographic Angiography
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While coronary computed tomographic angiography (CCTA) has high diagnostic performance to identify and exclude obstructive coronary artery disease, it is susceptible to false-positive results and non-interpretable studies, and requires the use of ionizing radiation. New methods of image reconstruction and post-processing have the potential to significantly improve image quality, reduce the number of non-interpretable studies, and improve the diagnostic accuracy of CCTA. In this manuscript, we will review current and novel technologies for image reconstruction and post-processing that may improve the image quality of CCTA.
KeywordsIterative reconstruction Cardiac computed tomography Coronary artery disease Image quality
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- 1.Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E, et al. Diagnostic performance of 64-multidetector row coronary computed tomographic angiography for evaluation of coronary artery stenosis in individuals without known coronary artery disease: results from the prospective multicenter accuracy (assessment by coronary computed tomographic angiography of individuals undergoing invasive coronary angiography) trial. J Am Coll Cardiol. 2008;52:1724–32.PubMedCrossRefGoogle Scholar
- 12.•• Park EA, Lee W, Kim KW, Kim KG, Thomas A, Chung JW, et al. Iterative reconstruction of dual-source coronary ct angiography: assessment of image quality and radiation dose. Int J Cardiovasc Imaging. 2011; doi:10.1007/s10554-011-0004-2. This paper evaluated the effect of iterative reconstruction on image quality and radiation dose.
- 13.•• Bittencourt MS, Schmidt B, Seltmann M, Muschiol G, Ropers D, Daniel WG, et al. Iterative reconstruction in image space (iris) in cardiac computed tomography: initial experience. Int J Cardiovasc Imaging. 2011;27:1081–7. This study examined the effect of iterative reconstruction on image quality and the number of interpretable segments.PubMedCrossRefGoogle Scholar
- 14.•• Renker M, Nance Jr JW, Schoepf UJ, O'Brien TX, Zwerner PL, Meyer M, et al. Evaluation of heavily calcified vessels with coronary CT angiography: comparison of iterative and filtered back projection image reconstruction. Radiology. 2011;260:390–9. This study evaluated the effect of iterative reconstruction on image noise and calcium blooming artifact.PubMedCrossRefGoogle Scholar
- 16.•• Leipsic J, Labounty TM, Heilbron B, Min JK, Mancini GB, Lin FY, et al. Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary ct angiography. AJR Am J Roentgenol. 2010;195:649–54. This manuscript evaluated the effect of iterative reconstruction on image noise, signal, and image quality.PubMedCrossRefGoogle Scholar
- 22.Utsunomiya D, Weigold WG, Weissman G, Taylor AJ. Effect of hybrid iterative reconstruction technique on quantitative and qualitative image analysis at 256-slice prospective gating cardiac CT. Eur Radiol. 2011;22:1287–94Google Scholar
- 23.Moscariello A, Takx RA, Schoepf UJ, Renker M, Zwerner PL, O'Brien TX, et al. Coronary CT angiography: image quality, diagnostic accuracy, and potential for radiation dose reduction using a novel iterative image reconstruction technique-comparison with traditional filtered back projection. Eur Radiol. 2011;21:2130–8.PubMedCrossRefGoogle Scholar
- 28.Suzuki S, Machida H, Tanaka I, Ueno E. Measurement of vascular wall attenuation: comparison of ct angiography using model-based iterative reconstruction with standard filtered back-projection algorithm CT in vitro. Eur J Radiol. 2012; doi:10.1016/j.ejrad.2012.02.009
- 32.Abbara S, Arbab-Zadeh A, Callister TQ, Desai MY, Mamuya W, Thomson L, et al. SCCT guidelines for performance of coronary computed tomographic angiography: a report of the society of cardiovascular computed tomography guidelines committee. J Cardiovasc Comput Tomogr. 2009;3:190–204.PubMedCrossRefGoogle Scholar
- 38.•• Leipsic J, Labounty T, Hague CJ, Mancini GBJ, O'brien JM, Wood DA, et al. Effect of a novel vendor-specific motion-correction algorithm on image quality and diagnostic accuracy in persons undergoing coronary CT angiography without rate-control medications. J Cardiovasc Comput Tomogr. 2012;[in press]. This paper examined the effect of a motion-correction algorithm on interpretability, image quality, and diagnostic accuracy of CCTA. Google Scholar
- 40.Rodriguez-Granillo GA, Rosales MA, Degrossi E, Rodriguez AE. Signal density of left ventricular myocardial segments and impact of beam hardening artifact: Implications for myocardial perfusion assessment by multidetector CT coronary angiography. Int J Cardiovasc Imaging. 2010;26:345–54.PubMedCrossRefGoogle Scholar
- 44.Habets J, Symersky P, Leiner T, de Mol BA, Mali WP, Budde RP. Artifact reduction strategies for prosthetic heart valve CT imaging. Int J Cardiovasc Imaging. 2012; doi:10.1007/s10554-012-0041-5.