Evaluation of the effect of myocardial localisation errors on myocardial blood flow estimates from DCE-MRI
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BioMed Central
Open Access
Poster presentation
Evaluation of the effect of myocardial localisation errors on myocardial blood flow estimates from DCE-MRI John D Biglands*1, Derek R Magee1, Roger Boyle1, Abdulghani Larghat1, Michael Jerosch-Herold2, Sven Plein1 and Aleksandra Radjenovic1 Address: 1The University of Leeds, Leeds, UK and 2Brigham and Women's Hospital, Boston, MA, USA * Corresponding author
from 13th Annual SCMR Scientific Sessions Phoenix, AZ, USA. 21-24 January 2010 Published: 21 January 2010 Journal of Cardiovascular Magnetic Resonance 2010, 12(Suppl 1):P235
doi:10.1186/1532-429X-12-S1-P235
Abstracts of the 13th Annual SCMR Scientific Sessions - 2010
Meeting abstracts - A single PDF containing all abstracts in this Supplement is available here. http://www.biomedcentral.com/content/files/pdf/1532-429X-11-S1-infoThis abstract is available from: http://jcmr-online.com/content/12/S1/P235 © 2010 Biglands et al; licensee BioMed Central Ltd.
Introduction
Results
Dynamic contrast enhanced myocardial perfusion MRI (DCE-MRI) has the potential to be superior to other currently available imaging techniques for the assessment of myocardial ischaemia. Quantitative analysis of cardiac perfusion is currently not routinely carried out because of the time consuming process of manually segmenting the myocardium from large DCE-MRI datasets. A range of automated segmentation algorithms have been proposed which quote results in terms of distance error or estimated myocardial blood flow (MBF). However, the relationship between these two evaluation measures is not clear, making objective comparisons of algorithm performance difficult.
Using the manual contours the mean (+/- standard deviation) MBF at rest was 2.0 +/- 0.5 ml/g/min and at stress was 4.4 +/- 0.7 ml/g/min. The mean myocardial width (+/ - standard deviation) was 7.4 +/- 1.5 voxels (9.0 +/- 2.1 mm), meaning that a contour modification of 3 voxels typically traversed just under half of the myocardial tissue. The mean MBF errors under stress conditions are plotted against contour errors in the endocardium (Fig. 1a) and epicardium (Fig. 1b). The trends of the curves are consistent with known myocardial sub-physiology, i.e. at stress the epicardium exhibits greater perfusion than the endocardium. Single contour errors of up to 3 voxels were only seen to make a statistically significant (p < 0.05) difference in MBF in the case of endocardial erosions of 2 or more voxels. Similarly, when endocardial and epicardial contours were changed simultaneously, estimated MBFs remained unaffected, except when the endocardial contour was eroded by 2 or more voxels. Similar results were observed in the resting data.
Purpose The purpose of this study was to investigate the effect of errors in the placement of endocardial and epicardial contours on estimated MBF in the analysis of DCE-MRI data.
Methods Rest and adenosine stress DCE-MRI was carried out on 10 healthy volunteers. Manually segmented epicardial and endocardial contours were radially dilated and ero
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