Knight, D;
Steeden, JA;
balji, S;
Taylor, A;
Muthurangu, V;
(2013)
Myocardial velocity mapping for the right ventricle in pulmonary arterial hypertension using a novel image-based respiratory self-navigation from a golden-angle spiral acquisition.
Presented at: 16th Annuual SCMR (Society for Cardiovascular Magnetic Resonance) Scientific Sessions, San Francisco, CA, USA.
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Abstract
Objectives: PWV can be measured by velocity-encoded phase-contrast magnetic resonance imaging (PC-MR) in a single location. One method utilises the change in flow (ΔQ) divided by the change in area (ΔA) at the beginning of systole, when it is assumed that only forward running waves are present. However, the duration of a reflection free period is short (∼30ms) and therefore a high sampling frequency is required to interrogate this period. Most PC-MR is performed with a low TR of approximately 30-40ms. In this study, we compared PWV calculated using high TR (10ms) and simulated low TR (30ms). Methods: High TR (10ms) PC-MR was performed in 20 volunteers in the ascending aorta. TR reduction to 30ms was simulated by filtering the flow and area waveforms using a zero-phase, low-pass, high-order Butterworth filter with normalized cut-off frequency of 0.33 in Matlab. PWV was calculated from the gradient of the flow-area line at the onset of ejection, corresponding to the first 3 points of the foot of the area curve. Results: There was a significant difference (p<0.0004) between PWV calculated using high TR mean 3.89m/s (SD 1.31) compared with simulated low TR, mean 7.30m/s (SD 3.64), Figure A. The mean bias between methods was 3.4m/s with wide limits of agreement (Figure B). Conclusion: PWV calculated using a single location method is significantly inflated when data is acquired at low TR, as simulated using low-pass filtering. This suggests that conventional PC-MR may produce erroneous results in clinical studies.
Type: | Conference item (Presentation) |
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Title: | Myocardial velocity mapping for the right ventricle in pulmonary arterial hypertension using a novel image-based respiratory self-navigation from a golden-angle spiral acquisition |
Event: | 16th Annuual SCMR (Society for Cardiovascular Magnetic Resonance) Scientific Sessions |
Location: | San Francisco, CA, USA |
Dates: | 31 January - 3 February 2013 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://doi.org/10.1186/1532-429X-15-S1-P43 |
Language: | English |
Additional information: | © 2013 Knight et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Childrens Cardiovascular Disease |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10060277 |
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