Literature DB >> 28396126

Improved Estimation of Coronary Plaque and Luminal Attenuation Using a Vendor-specific Model-based Iterative Reconstruction Algorithm in Contrast-enhanced CT Coronary Angiography.

Yoshinori Funama1, Daisuke Utsunomiya2, Kenichiro Hirata2, Katsuyuki Taguchi3, Takeshi Nakaura2, Seitaro Oda2, Masafumi Kidoh2, Hideaki Yuki2, Yasuyuki Yamashita2.   

Abstract

RATIONALE AND
OBJECTIVES: To investigate the stabilities of plaque attenuation and coronary lumen for different plaque types, stenotic degrees, lumen densities, and reconstruction methods using coronary vessel phantoms and the visualization of coronary plaques in clinical patients through coronary computed tomography (CT) angiography.
MATERIALS AND METHODS: We performed 320-detector volume scanning of vessel tubes with stenosis and a tube without stenosis using three types of plaque CT numbers. The stenotic degrees were 50% and 75%. Images were reconstructed with filtered back projection (FBP) and two types of iterative reconstructions (AIDR3D and FIRST [forward-projected model-based iterative reconstruction solution]), with stenotic CT number of approximately 40, 80, and 150 HU (Hounsfield unit), respectively. In each case, the tubing of the coronary vessel was filled with diluted contrast material and distilled water to reach the target lumen CT numbers of approximately 350 HU and 450 HU, and 0 HU, respectively. Peak lumen and plaque CT numbers were measured to calculate the lumen-plaque contrast. In addition, we retrospectively evaluated the image quality with regard to coronary arterial lumen and the plaque in 10 clinical patients on a 4-point scale.
RESULTS: At 50% stenosis, the plaque CT number with contrast enhancement increased for FBP and AIDR3D, and the difference in the plaque CT number with and without contrast enhancement was 15-44 HU for FBP and 10-31 HU for AIDR3D. However, the plaque CT number for FIRST had a smaller variation and the difference with and without contrast enhancement was -12 to 8 HU. The visual evaluation score for the vessel lumen was 2.8 ± 0.6, 3.5 ± 0.5, and 3.7 ± 0.5 for FBP, AIDR3D, and FIRST, respectively.
CONCLUSIONS: The FIRST method controls the increase in plaque density and the lumen-plaque contrast. Consequently, it improves the visualization of coronary plaques in coronary CT angiography.
Copyright © 2017 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Coronary plaque attenuation; coronary CT angiography; full statistical iterative reconstruction algorithm; lumen–plaque contrast

Mesh:

Substances:

Year:  2017        PMID: 28396126      PMCID: PMC5557674          DOI: 10.1016/j.acra.2017.02.006

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


  32 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.  Subtraction coronary CT angiography using second-generation 320-detector row CT.

Authors:  Kunihiro Yoshioka; Ryoichi Tanaka; Kenta Muranaka; Tadashi Sasaki; Takanori Ueda; Takuya Chiba; Kouta Takeda; Tsuyoshi Sugawara
Journal:  Int J Cardiovasc Imaging       Date:  2015-02-27       Impact factor: 2.357

3.  Radiation dose from single-heartbeat coronary CT angiography performed with a 320-detector row volume scanner.

Authors:  Andrew J Einstein; Carl D Elliston; Andrew E Arai; Marcus Y Chen; Richard Mather; Gregory D N Pearson; Robert L Delapaz; Edward Nickoloff; Ajoy Dutta; David J Brenner
Journal:  Radiology       Date:  2010-03       Impact factor: 11.105

4.  CT coronary angiography: impact of adapted statistical iterative reconstruction (ASIR) on coronary stenosis and plaque composition analysis.

Authors:  Tobias A Fuchs; Michael Fiechter; Cathérine Gebhard; Julia Stehli; Jelena R Ghadri; Egle Kazakauskaite; Bernhard A Herzog; Lars Husmann; Oliver Gaemperli; Philipp A Kaufmann
Journal:  Int J Cardiovasc Imaging       Date:  2012-10-02       Impact factor: 2.357

5.  CT image quality improvement using Adaptive Iterative Dose Reduction with wide-volume acquisition on 320-detector CT.

Authors:  Alban Gervaise; Benoît Osemont; Sophie Lecocq; Alain Noel; Emilien Micard; Jacques Felblinger; Alain Blum
Journal:  Eur Radiol       Date:  2011-09-17       Impact factor: 5.315

6.  Iterative image reconstruction algorithms in coronary CT angiography improve the detection of lipid-core plaque--a comparison with histology.

Authors:  Stefan B Puchner; Maros Ferencik; Pal Maurovich-Horvat; Masataka Nakano; Fumiyuki Otsuka; Hans-Ulrich Kauczor; Renu Virmani; Udo Hoffmann; Christopher L Schlett
Journal:  Eur Radiol       Date:  2014-09-03       Impact factor: 5.315

7.  Multidetector computed tomography evaluation of coronary plaque morphology in patients with stable angina.

Authors:  Daisuke Utsunomiya; Takashi Fukunaga; Seitaro Oda; Kazuo Awai; Takeshi Nakaura; Joji Urata; Yasuyuki Yamashita
Journal:  Heart Vessels       Date:  2010-12-04       Impact factor: 2.037

8.  Impact of luminal density on plaque classification by CT coronary angiography.

Authors:  Maiken Glud Dalager; Morten Bøttcher; Gratien Andersen; Jesper Thygesen; Erik Morre Pedersen; Lone Dejbjerg; Ole Gøtzsche; Hans Erik Bøtker
Journal:  Int J Cardiovasc Imaging       Date:  2010-09-05       Impact factor: 2.357

9.  Computed tomography-based high-risk coronary plaque score to predict acute coronary syndrome among patients with acute chest pain--Results from the ROMICAT II trial.

Authors:  Maros Ferencik; Thomas Mayrhofer; Stefan B Puchner; Michael T Lu; Pal Maurovich-Horvat; Ting Liu; Khristine Ghemigian; Pieter Kitslaar; Alexander Broersen; Fabian Bamberg; Quynh A Truong; Christopher L Schlett; Udo Hoffmann
Journal:  J Cardiovasc Comput Tomogr       Date:  2015-07-10

10.  CAD-RADS(TM) 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 Cardiology.

Authors:  Ricardo C Cury; Suhny Abbara; Stephan Achenbach; Arthur Agatston; Daniel S Berman; Matthew J Budoff; Karin E Dill; Jill E Jacobs; Christopher D Maroules; Geoffrey D Rubin; Frank J Rybicki; U Joseph Schoepf; Leslee J Shaw; Arthur E Stillman; Charles S White; Pamela K Woodard; Jonathon A Leipsic
Journal:  J Cardiovasc Comput Tomogr       Date:  2016-06-15
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  5 in total

1.  The effect of heart rate on coronary plaque measurements in 320-row coronary CT angiography.

Authors:  Masafumi Kidoh; Daisuke Utsunomiya; Yoshinori Funama; Daisuke Sakabe; Seitaro Oda; Takeshi Nakaura; Hideaki Yuki; Yasunori Nagayama; Kenichiro Hirata; Yuji Iyama; Tomohiro Namimoto; Yasuyuki Yamashita
Journal:  Int J Cardiovasc Imaging       Date:  2018-07-20       Impact factor: 2.357

Review 2.  Extraction of Coronary Atherosclerotic Plaques From Computed Tomography Imaging: A Review of Recent Methods.

Authors:  Haipeng Liu; Aleksandra Wingert; Jian'an Wang; Jucheng Zhang; Xinhong Wang; Jianzhong Sun; Fei Chen; Syed Ghufran Khalid; Jun Jiang; Dingchang Zheng
Journal:  Front Cardiovasc Med       Date:  2021-02-10

Review 3.  A new look at the heart-novel imaging techniques.

Authors:  C M Johnston; A J Krafft; M F Russe; E A Rog-Zielinska
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2017-12-14

4.  Can fully iterative reconstruction technique enable routine abdominal CT at less than 1 mSv?

Authors:  Azadeh Tabari; Singh Ramandeep; Ruhani Doda Khera; Yiemeng Hoi; Erin Angel; Mannudeep K Kalra; Rachna Madan
Journal:  Eur J Radiol Open       Date:  2019-06-21

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

Authors:  Kenichiro Hirata; Daisuke Utsunomiya; Masafumi Kidoh; Yoshinori Funama; Seitaro Oda; Hideaki Yuki; Yasunori Nagayama; Yuji Iyama; Takeshi Nakaura; Daisuke Sakabe; Kenichi Tsujita; Yasuyuki Yamashita
Journal:  Medicine (Baltimore)       Date:  2018-05       Impact factor: 1.889

  5 in total

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