Literature DB >> 28314613

Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

Florian André1, Philipp Fortner2, Mani Vembar3, Dirk Mueller4, Wolfram Stiller5, Sebastian J Buss6, Hans-Ulrich Kauczor5, Hugo A Katus2, Grigorios Korosoglou2.   

Abstract

BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary CT angiography (coronary CTA).
METHODS: Forty patients undergoing clinically indicated coronary CTA were randomly assigned to two groups with BMI-adapted (I: <25.0 kg/m2, II: <28.0 kg/m2, III: <30.0 kg/m2, IV: ≥30.0 kg/m2) low dose (LD, I: 100kVp/75 mAs, II: 100kVp/100 mAs, III: 100kVp/150 mAs, IV: 120kVp/150 mAs, n = 20) or ultra-low dose (ULD, I: 100kVp/50 mAs, II: 100kVp/75 mAs, III: 100kVp/100 mAs, IV: 120kVp/100 mAs, n = 20) protocols. Prospectively-triggered coronary CTA was performed using a 256-MDCT with the lowest reasonable scan length. Images were generated with filtered back projection (FBP), a noise-reducing hybrid iterative algorithm (iD, levels 2/5) and K-IMR using cardiac routine (CR) and cardiac sharp settings, levels 1-3.
RESULTS: Groups were comparable regarding anthropometric parameters, heart rate, and scan length. The use of ULD protocols resulted in a significant reduction of radiation exposure (0.7 (0.6-0.9) mSv vs. 1.1 (0.9-1.7) mSv; p < 0.02). Image quality was significantly better in the ULD group using K-IMR CR 1 compared to FBP, iD 2 and iD 5 in the LD group, resulting in fewer non-diagnostic coronary segments (2.4% vs. 11.6%, 9.2% and 6.1%; p < 0.05).
CONCLUSIONS: The combination of K-IMR with BMI-adapted ULD protocols results in significant radiation dose savings while simultaneously improving image quality compared to LD protocols with FBP or hybrid iterative algorithms. Therefore, K-IMR allows for coronary CTA examinations with high diagnostic value and very low radiation exposure in clinical routine.
Copyright © 2017 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Coronary CT angiography; Coronary artery disease; Image reconstruction; Iterative reconstruction; Knowledge-based reconstruction; Multidetector computed tomography; Radiation exposure

Mesh:

Year:  2017        PMID: 28314613     DOI: 10.1016/j.jcct.2017.02.007

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  6 in total

1.  Potential value of the PixelShine deep learning algorithm for increasing quality of 70 kVp+ASiR-V reconstruction pelvic arterial phase CT images.

Authors:  Shi-Feng Tian; Ai-Lian Liu; Jing-Hong Liu; Yi-Jun Liu; Ju-Dong Pan
Journal:  Jpn J Radiol       Date:  2018-12-06       Impact factor: 2.374

2.  Ultra-low-dose multiphase CT angiography derived from CT perfusion data in patients with middle cerebral artery stenosis.

Authors:  Xiaoling Wu; Yuelong Yang; Menghuang Wen; Lijuan Wang; Yunjun Yang; Yuhu Zhang; Zihua Mo; Kun Nie; Biao Huang
Journal:  Neuroradiology       Date:  2019-10-30       Impact factor: 2.804

3.  Computed Tomography or Functional Stress Testing for the Prediction of Risk: Can I Have My Cake and Eat It?

Authors:  David E Newby
Journal:  Circulation       Date:  2017-08-28       Impact factor: 29.690

4.  Coronary CT Angiography with Knowledge-Based Iterative Model Reconstruction for Assessing Coronary Arteries and Non-Calcified Predominant Plaques.

Authors:  Tao Li; Tian Tang; Li Yang; Xinghua Zhang; Xueping Li; Chuncai Luo
Journal:  Korean J Radiol       Date:  2019-05       Impact factor: 3.500

5.  Clinical utility of postprocessed low-dose radiographs in skeletal imaging.

Authors:  Johannes Kolck; Katharina Ziegeler; Thula Walter-Rittel; Kay Geert A Hermann; Bernd Hamm; Alexander Beck
Journal:  Br J Radiol       Date:  2022-01-05       Impact factor: 3.039

6.  Coronary computed tomography angiography using model-based iterative reconstruction algorithms in the detection of significant coronary stenosis: how the plaque type influences the diagnostic performance.

Authors:  Antonio Vizzuso; Riccardo Righi; Aldo Carnevale; Michela Zerbini; Giorgio Benea; Melchiore Giganti
Journal:  Pol J Radiol       Date:  2019-12-09
  6 in total

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