Literature DB >> 24332603

Impact of a new motion-correction algorithm on image quality of low-dose coronary CT angiography in patients with insufficient heart rate control.

Tobias A Fuchs1, Julia Stehli1, Svetlana Dougoud1, Michael Fiechter1, Bert-Ram Sah1, Ronny R Buechel1, Sacha Bull1, Oliver Gaemperli1, Philipp A Kaufmann2.   

Abstract

RATIONALE AND
OBJECTIVES: Prospective electrocardiogram (ECG) triggering allows coronary computed tomography angiography (CCTA) scanning with low radiation dose but requires heart rates below 63 beats/min. We assessed the impact of a novel vendor-specific motion-correction algorithm on image quality and interpretability of low-dose CCTA acquired despite insufficient heart rate control.
MATERIALS AND METHODS: In 40 patients undergoing CCTA for the assessment of known or suspected coronary artery disease who did not reach the target heart rate below 63 beats/min despite β-blockade before prospective low-dose scanning, the temporal acquisition window was increased (80 ms additional padding). The new algorithm detects and integrates vessel path and velocity from adjacent cardiac phases for motion correction. Two blinded observers assessed image quality on a 4-point Likert scale (1, nonevaluative; 2, reduced but evaluative; 3, good; and 4, excellent) and the fraction of interpretable segments (score 2 or more) using motion correction versus standard reconstruction.
RESULTS: Image reconstruction with motion correction resulted in an increased median coronary artery image quality score (excellent interobserver agreement, κ = 0.85) compared to standard reconstruction (3.4 vs. 3.0, P < .001). Consequently, motion-corrected reconstruction significantly improved the overall interpretability of coronary arteries (from 78% to 88%, P < .001). Estimated mean effective radiation dose was 2.3 ± 0.8 mSv.
CONCLUSIONS: A novel, vendor-specific, motion-corrected, reconstruction algorithm improves image quality and interpretability of prospectively ECG-triggered low-dose CCTA despite insufficient heart rate control.
Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Coronary CT angiography (CCTA); insufficient heart rate control; motion correction

Mesh:

Year:  2013        PMID: 24332603     DOI: 10.1016/j.acra.2013.10.014

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


  12 in total

1.  Heart-rate dependent improvement in image quality and diagnostic accuracy of coronary computed tomographic angiography by novel intracycle motion correction algorithm.

Authors:  Iksung Cho; Kimberly Elmore; Bríain Ó Hartaigh; Josh Schulman-Marcus; Heidi Granser; Valentina Valenti; Guanglei Xiong; Patricia M Carrascosa; James K Min
Journal:  Clin Imaging       Date:  2014-12-09       Impact factor: 1.605

2.  Characterization of cardiac quiescence from retrospective cardiac computed tomography using a correlation-based phase-to-phase deviation measure.

Authors:  Carson A Wick; James H McClellan; Chesnal D Arepalli; William F Auffermann; Travis S Henry; Faisal Khosa; Adam M Coy; Srini Tridandapani
Journal:  Med Phys       Date:  2015-02       Impact factor: 4.071

3.  Cardiac CT: A system architecture study.

Authors:  Paul FitzGerald; James Bennett; Jeffrey Carr; Peter M Edic; Daniel Entrikin; Hewei Gao; Maria Iatrou; Yannan Jin; Baodong Liu; Ge Wang; Jiao Wang; Zhye Yin; Hengyong Yu; Kai Zeng; Bruno De Man
Journal:  J Xray Sci Technol       Date:  2016       Impact factor: 1.535

4.  Second-generation motion correction algorithm improves diagnostic accuracy of single-beat coronary CT angiography in patients with increased heart rate.

Authors:  Junfu Liang; Ying Sun; Ziqing Ye; Yanchun Sun; Lei Xu; Zhen Zhou; Brian Thomsen; Jianying Li; Zhonghua Sun; Zhanming Fan
Journal:  Eur Radiol       Date:  2019-01-07       Impact factor: 5.315

5.  The impact of small motion on the visualization of coronary vessels and lesions in cardiac CT: A simulation study.

Authors:  Francisco Contijoch; J Webster Stayman; Elliot R McVeigh
Journal:  Med Phys       Date:  2017-05-26       Impact factor: 4.071

6.  Impact of an intra-cycle motion correction algorithm on overall evaluability and diagnostic accuracy of computed tomography coronary angiography.

Authors:  Gianluca Pontone; Daniele Andreini; Erika Bertella; Andrea Baggiano; Saima Mushtaq; Monica Loguercio; Chiara Segurini; Edoardo Conte; Virginia Beltrama; Andrea Annoni; Alberto Formenti; Maria Petullà; Andrea I Guaricci; Piero Montorsi; Daniela Trabattoni; Antonio L Bartorelli; Mauro Pepi
Journal:  Eur Radiol       Date:  2015-05-09       Impact factor: 5.315

7.  Relationship between heart rate and optimal reconstruction phase in coronary CT angiography performed on a 256-slice multidetector CT.

Authors:  Ching-Ching Yang; Wei-Yip Law; Kun-Mu Lu; Tung-Hsin Wu
Journal:  Br J Radiol       Date:  2019-07-29       Impact factor: 3.039

Review 8.  Functional relevance of coronary artery disease by cardiac magnetic resonance and cardiac computed tomography: myocardial perfusion and fractional flow reserve.

Authors:  Gianluca Pontone; Daniele Andreini; Andrea Baggiano; Erika Bertella; Saima Mushtaq; Edoardo Conte; Virginia Beltrama; Andrea Igoren Guaricci; Mauro Pepi
Journal:  Biomed Res Int       Date:  2015-01-27       Impact factor: 3.411

9.  Recent Update on Radiation Dose Assessment for the State-of-the-Art Coronary Computed Tomography Angiography Protocols.

Authors:  Sock Keow Tan; Chai Hong Yeong; Kwan Hoong Ng; Yang Faridah Abdul Aziz; Zhonghua Sun
Journal:  PLoS One       Date:  2016-08-23       Impact factor: 3.240

10.  Improvement of Image Quality and Diagnostic Performance by an Innovative Motion-Correction Algorithm for Prospectively ECG Triggered Coronary CT Angiography.

Authors:  Zhen-Nan Li; Wei-Hua Yin; Bin Lu; Hong-Bing Yan; Chao-Wei Mu; Yang Gao; Zhi-Hui Hou; Zhi-Qiang Wang; Kun Liu; Ashley H Parinella; Jonathon A Leipsic
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.