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

Abstract We aimed to evaluate the image quality performance of coronary CT angiography (CTA) under the different settings of forward-projected model-based iterative reconstruction solutions (FIRST). Thirty patients undergoing coronary CTA were included. Each image was reconstructed using filtered back projection (FBP), adaptive iterative dose reduction 3D (AIDR-3D), and 2 model-based iterative reconstructions including FIRST-body and FIRST-cardiac sharp (CS). CT number and noise were measured in the coronary vessels and plaque. Subjective image-quality scores were obtained for noise and structure visibility. In the objective image analysis, FIRST-body produced the significantly highest contrast-to-noise ratio. Regarding subjective image quality, FIRST-CS had the highest score for structure visibility, although the image noise score was inferior to that of FIRST-body. In conclusion, FIRST provides significant improvements in objective and subjective image quality compared with FBP and AIDR-3D. FIRST-body effectively reduces image noise, but the structure visibility with FIRST-CS was superior to FIRST-body.

[1]  K. Ohtomo,et al.  The feasibility of Forward-projected model-based Iterative Reconstruction SoluTion (FIRST) for coronary 320-row computed tomography angiography: A pilot study. , 2017, Journal of cardiovascular computed tomography.

[2]  Alain Vlassenbroek,et al.  Low contrast detectability and spatial resolution with model-based Iterative reconstructions of MDCT images: a phantom and cadaveric study , 2017, European Radiology.

[3]  Guang Li,et al.  A noise power spectrum study of a new model‐based iterative reconstruction system: Veo 3.0 , 2016, Journal of applied clinical medical physics.

[4]  C. White,et al.  Detection of Pulmonary Embolism on Computed Tomography: Improvement Using a Model-based Iterative Reconstruction Algorithm Compared With Filtered Back Projection and Iterative Reconstruction Algorithms , 2015, Journal of thoracic imaging.

[5]  Evaluation of a commercial Model Based Iterative reconstruction algorithm in computed tomography. , 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[6]  Masaki Katsura,et al.  Comparison of pure and hybrid iterative reconstruction techniques with conventional filtered back projection: image quality assessment in the cervicothoracic region. , 2013, European journal of radiology.

[7]  Wei Wei,et al.  Evaluation of Abdominal Computed Tomography Image Quality Using a New Version of Vendor-Specific Model-Based Iterative Reconstruction , 2017, Journal of computer assisted tomography.

[8]  H. Sakuma,et al.  Model-based iterative reconstruction for multi-detector row CT assessment of the Adamkiewicz artery. , 2013, Radiology.

[9]  T. Hirai,et al.  Value of knowledge-based iterative model reconstruction in low-kV 256-slice coronary CT angiography. , 2014, Journal of cardiovascular computed tomography.

[10]  U. Schoepf,et al.  Iterative reconstruction to preserve image quality and diagnostic accuracy at reduced radiation dose in coronary CT angiography: an intraindividual comparison. , 2013, JACC. Cardiovascular imaging.

[11]  Y. Yamashita,et al.  A hybrid iterative reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography. , 2012, AJR. American journal of roentgenology.

[12]  K. Awai,et al.  Coronary Artery Stent Evaluation with Model-based Iterative Reconstruction at Coronary CT Angiography. , 2017, Academic radiology.

[13]  A. Sato,et al.  Role of cardiac multidetector computed tomography beyond coronary angiography. , 2015, Circulation journal : official journal of the Japanese Circulation Society.

[14]  Sebastian Feuerlein,et al.  New iterative reconstruction techniques for cardiovascular computed tomography: how do they work, and what are the advantages and disadvantages? , 2011, Journal of cardiovascular computed tomography.

[15]  Alan S. Brown,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 , 2010, Journal of the American College of Cardiology.

[16]  D. Sahani,et al.  A quantitative comparison of noise reduction across five commercial (hybrid and model-based) iterative reconstruction techniques: an anthropomorphic phantom study. , 2015, AJR. American journal of roentgenology.

[17]  F. Rybicki,et al.  CAD-RADS™: Coronary Artery Disease - Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Car , 2016, Journal of the American College of Radiology : JACR.

[18]  Hirofumi Anno,et al.  Computed tomographic angiography characteristics of atherosclerotic plaques subsequently resulting in acute coronary syndrome. , 2009, Journal of the American College of Cardiology.

[19]  K. Soon,et al.  New scanning technique using Adaptive Statistical Iterative Reconstruction (ASIR) significantly reduced the radiation dose of cardiac CT , 2013, Journal of medical imaging and radiation oncology.

[20]  Y. Yamashita,et al.  Improved Estimation of Coronary Plaque and Luminal Attenuation Using a Vendor-specific Model-based Iterative Reconstruction Algorithm in Contrast-enhanced CT Coronary Angiography. , 2017, Academic radiology.

[21]  Takashi Katsube,et al.  Effect of the forward-projected model-based iterative reconstruction solution algorithm on image quality and radiation dose in pediatric cardiac computed tomography , 2016, Pediatric Radiology.

[22]  Julia Stehli,et al.  Accuracy of coronary CT angiography using a submillisievert fraction of radiation exposure: comparison with invasive coronary angiography. , 2014, Journal of the American College of Cardiology.

[23]  M. McEntee,et al.  Radiation dose and diagnostic image quality associated with iterative reconstruction in coronary CT angiography: A systematic review , 2016, Journal of medical imaging and radiation oncology.

[24]  Y. Ohno,et al.  Comparative evaluation of newly developed model-based and commercially available hybrid-type iterative reconstruction methods and filter back projection method in terms of accuracy of computer-aided volumetry (CADv) for low-dose CT protocols in phantom study. , 2016, European journal of radiology.