Artery Research

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Volume 8, Issue 3, September 2014, Pages 98 - 109

Enhancing coronary Wave Intensity Analysis robustness by high order central finite differences

Authors
Simone Rivoloa, Kaleab N. Asrressb, Amedeo Chiribiric, Eva Sammutc, Roman Wesolowskic, Lars Ø. Blochd, Anne K. Grøndale, Jesper L. Høngee, Won Y. Kimd, Michael Marberb, Simon Redwoodb, Eike Nagelc, Nicolas P. Smitha, Jack Leea, *
aDepartment of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King’s College London, King’s Health Partners, St. Thomas’ Hospital, London SE1 7EH, UK
bCardiovascular Division, British Heart Foundation Centre of Research Excellence, King’s College London, St. Thomas Hospital, London SE1 7EH, UK
cDivision of Imaging Science and Biomedical Engineering, King’s College London, King’s Health Partner, St. Thomas Hospital, London SE1 7EH, UK
dDepartment of Cardiology, Aarhus University Hospital Skejby, Brendstrupgaardsvej 100, DK-8200 Aarhus N, Denmark
eDepartment of Cardiothoracic & Vascular Surgery, Aarhus University Hospital Skejby, Brendstrupgaardsvej 100, DK-8200 Aarhus N, Denmark
*Corresponding author. Tel.: +44 2071887188x53216. E-mail addresses: simone.rivolo@kcl.ac.uk (S. Rivolo), jack.lee@kcl.ac.uk (J. Lee).
Corresponding Author
Jack Lee
Received 4 December 2013, Revised 13 March 2014, Accepted 14 March 2014, Available Online 8 April 2014.
DOI
10.1016/j.artres.2014.03.001How to use a DOI?
Keywords
Coronary artery disease; Sensitivity analysis; Wave Intensity Analysis
Abstract

Background: Coronary Wave Intensity Analysis (cWIA) is a technique capable of separating the effects of proximal arterial haemodynamics from cardiac mechanics. Studies have identified WIA-derived indices that are closely correlated with several disease processes and predictive of functional recovery following myocardial infarction. The cWIA clinical application has, however, been limited by technical challenges including a lack of standardization across different studies and the derived indices’ sensitivity to the processing parameters. Specifically, a critical step in WIA is the noise removal for evaluation of derivatives of the acquired signals, typically performed by applying a Savitzky–Golay filter, to reduce the high frequency acquisition noise.

Methods: The impact of the filter parameter selection on cWIA output, and on the derived clinical metrics (integral areas and peaks of the major waves), is first analysed. The sensitivity analysis is performed either by using the filter as a differentiator to calculate the signals’ time derivative or by applying the filter to smooth the ensemble-averaged waveforms.

Furthermore, the power-spectrum of the ensemble-averaged waveforms contains little high-frequency components, which motivated us to propose an alternative approach to compute the time derivatives of the acquired waveforms using a central finite difference scheme.

Results and Conclusion: The cWIA output and consequently the derived clinical metrics are significantly affected by the filter parameters, irrespective of its use as a smoothing filter or a differentiator. The proposed approach is parameter-free and, when applied to the 10 in-vivo human datasets and the 50 in-vivo animal datasets, enhances the cWIA robustness by significantly reducing the outcome variability (by 60%).

Copyright
© 2014 Association for Research into Arterial Structure and Physiology. Published by Elsevier B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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<Previous Article In Issue
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Journal
Artery Research
Volume-Issue
8 - 3
Pages
98 - 109
Publication Date
2014/04/08
ISSN (Online)
1876-4401
ISSN (Print)
1872-9312
DOI
10.1016/j.artres.2014.03.001How to use a DOI?
Copyright
© 2014 Association for Research into Arterial Structure and Physiology. Published by Elsevier B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Simone Rivolo
AU  - Kaleab N. Asrress
AU  - Amedeo Chiribiri
AU  - Eva Sammut
AU  - Roman Wesolowski
AU  - Lars Ø. Bloch
AU  - Anne K. Grøndal
AU  - Jesper L. Hønge
AU  - Won Y. Kim
AU  - Michael Marber
AU  - Simon Redwood
AU  - Eike Nagel
AU  - Nicolas P. Smith
AU  - Jack Lee
PY  - 2014
DA  - 2014/04/08
TI  - Enhancing coronary Wave Intensity Analysis robustness by high order central finite differences
JO  - Artery Research
SP  - 98
EP  - 109
VL  - 8
IS  - 3
SN  - 1876-4401
UR  - https://doi.org/10.1016/j.artres.2014.03.001
DO  - 10.1016/j.artres.2014.03.001
ID  - Rivolo2014
ER  -