- Poster presentation
- Open Access
Routine cine-CMR segmentation via a novel automated algorithm (LV-METRIC) for assessment of aortic physiology: a clinical validation study
© Singh et al; licensee BioMed Central Ltd. 2015
- Published: 3 February 2015
- Bicuspid Aortic Valve
- Marfan Syndrome
- Aortic Disease
- Aortic Distensibility
- Imaging Voxel
Routine cine-CMR is widely used to assess cardiac structure and function. Partial voxel interpolation has been shown to yield improved agreement with phantom derived chamber volumes and necropsy evidenced LV mass; the utility of partial voxel interpolation for assessment of aortic physiology has never before been tested.
Cine-CMR (SSFP) was performed on 1.5 Tesla (GE) scanners; pulse sequence parameters were equivalent to those for routine CMR (typical TR 3.4 msec, TE 1.14 msec, flip angle 60ο, temporal resolution 30 msec). Images were acquired in conventional cardiac (2, 3, 4 chamber) long axis or axial imaging planes. Aortic area was uniformly measured in a non-aneurysmal location within the mid-descending thoracic aorta: Cine-CMR was quantified via a novel "partial voxel" segmentation algorithm (LV-METRIC) that accounts for relative proportion of blood within each individual imaging voxel. Maximum (systolic) and minimum (diastolic) aortic areas and brachial pulse pressure were used to calculate distensibility, a measure of arterial compliance, of the mid-descending thoracic aorta.
Routine cine-CMR can discern altered aortic physiology in non-aneurysmal regions in subjects with MFS. Larger longitudinal studies are needed to further evaluate the prognostic utility of cine-CMR segmentation, including use of central aortic blood pressure, as a potential biomarker of early aortic disease.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.