Literature DB >> 22951109

Coronary artery stent evaluation by combining iterative reconstruction and high-resolution kernel at coronary CT angiography.

Yoshinori Funama1, Seitaro Oda, Daisuke Utsunomiya, Katsuyuki Taguchi, Toshiaki Shimonobo, Yasuyuki Yamashita, Kazuo Awai.   

Abstract

PURPOSE: To evaluate stent lumen visualization by combining high-resolution cardiac kernel and the iterative reconstruction (iDose) on an anthropomorphic moving heart phantom and in patients at coronary computed tomography (CT) angiography.
MATERIALS AND METHODS: We used the moving heart phantom and a 64 detector-row CT, retrospectively gated helical scanning, and image reconstruction. The heart rate was set at nonpulsating condition of 0 beats/min, 50 beats/min, and 80 beats/min. The 120-kV images were reconstructed in synchronization with electrocardiogram data using filtered back projection (FBP) or iDose algorithm and standard kernel/filter (CB) or high-resolution kernel/filter (CD). We measured image noise, the kurtosis, and stent lumen diameter in the phantom study. We also assessed the visual inspections by two radiologists.
RESULTS: With cardiac motion at 50 and 80 beats/min, the difference of kurtosis improved with CD relative to CB (P < .05). iDose algorithm with level 7 provided lowest noise, with no statistically significance in difference of the kurtosis relative to level 4 (P > .05). Without cardiac motion at 0 beats/min, the stent lumen diameter measurements with CD kernel were better relative to CB kernel (P < .05). In addition, no significant difference was found in stent lumen diameter between iDose level 4 and level 7 (P > .05).
CONCLUSION: The use of iDose and a sharp kernel allowed improved stent visualization at a lower radiation dose.
Copyright © 2012 AUR. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22951109     DOI: 10.1016/j.acra.2012.06.013

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

1.  The effect of iterative image reconstruction algorithms on the feasibility of automated plaque assessment in coronary CT angiography.

Authors:  Stefan B Puchner; Maros Ferencik; Mihaly Karolyi; Synho Do; Pal Maurovich-Horvat; Hans-Ulrich Kauczor; Udo Hoffmann; Christopher L Schlett
Journal:  Int J Cardiovasc Imaging       Date:  2013-08-30       Impact factor: 2.357

2.  Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: an anthropomorphic thoracic phantom study.

Authors:  K W Doo; E-Y Kang; H S Yong; O H Woo; K Y Lee; Y-W Oh
Journal:  Br J Radiol       Date:  2014-07-16       Impact factor: 3.039

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.  Radiation dose reduction in pediatric great vessel stent computed tomography using iterative reconstruction: A phantom study.

Authors:  Annemarie M den Harder; Dominika Suchá; Pieter J van Doormaal; Ricardo P J Budde; Pim A de Jong; Arnold M R Schilham; Johannes M P J Breur; Tim Leiner
Journal:  PLoS One       Date:  2017-04-14       Impact factor: 3.240

5.  Coronary Stent Artifact Reduction with an Edge-Enhancing Reconstruction Kernel - A Prospective Cross-Sectional Study with 256-Slice CT.

Authors:  Stéphanie Tan; Gilles Soulez; Patricia Diez Martinez; Sandra Larrivée; Louis-Mathieu Stevens; Yves Goussard; Samer Mansour; Carl Chartrand-Lefebvre
Journal:  PLoS One       Date:  2016-04-29       Impact factor: 3.240

  5 in total

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