Biglands, J

Boyle, RD

Jerosch-Herold, M

Larghat, A

Magee, D

Plein, S

Radjenovic, A

Journal of Cardiovascular Magnetic Resonance

English

White Rose Research Online

Evaluation of the Effect of Myocardial Localisation Errors on Myocardial Blood Flow Estimates from Myocardial Perfusion MRI

John D Biglands

Derek R Magee

Roger Boyle

Abdulghani Larghat

Michael Jerosch-Herold

Sven Plein

Aleksandra Radjenovic

Springer - Publisher Connector

BioMed Central
Journal of Cardiovascular Magnetic 
Resonance
ssOpen AccePoster 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    
Introduction
Dynamic contrast enhanced myocardial perfusion MRI
(DCE-MRI) has the potential to be superior to other cur-
rently 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, mak-
ing objective comparisons of algorithm performance dif-
ficult.
Purpose
The purpose of this study was to investigate the effect of
errors in the placement of endocardial and epicardial con-
tours 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 eroded by
up to three voxels. The regions described by these con-
tours were used to estimate mean MBFs by a Fermi-con-
strained deconvolution algorithm.
Results
Using the manual contours the mean (+/- standard devia-
tion) 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 consist-
ent with known myocardial sub-physiology, i.e. at stress
the epicardium exhibits greater perfusion than the endo-
cardium. Single contour errors of up to 3 voxels were only
seen to make a statistically significant (p < 0.05) differ-
ence 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 con-
tour was eroded by 2 or more voxels. Similar results were
observed in the resting data.
Conclusion
These results suggest that the current accuracy achievable
by segmentation algorithms for the assessment of trans-
mural perfusion is sufficient for MBF estimation and
future work should focus on decreasing algorithm failure
rates, rather than achieving marginal improvements in
segmentation accuracy. The endocardium is the most crit-
ical contour and the inclusion of any blood pool voxels
should be avoided.
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
<supplement> <title> <p>Abstracts of the 13<sup>th </sup>Annual SCMR Scientific Sessions - 2010</p> </title> <note>Meeting abstracts - A single PDF containing all abstracts in this Supplement is available <a href="http://www.biomedcentral.com/content/files/pdf/1532-429X-11-S1-full.pdf">here</a>.</note> <url>http://www.biomedcentral.com/content/files/pdf/1532-429X-11-S1-info</url> </supplement>
This abstract is available from: http://jcmr-online.com/content/12/S1/P235
© 2010 Biglands et al; licensee BioMed Central Ltd. Page 1 of 2
(page number not for citation purposes)
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Plots showing the mean errors in flow at stressFigure 1
Plots showing the mean errors in flow at stress. Positive dilation is in the direction of the epicardium, negative towards 
the blood pool. (a) shows the errors induced when the endocardial contour is modified whilst holding the epicardial contour at 
its reference state. (b) shows the converse arrangement. Error bars show ± one standard deviation. The corresponding tables 
show the p-value and 95% confidence interval for the t-test (n = 10).Page 2 of 2
(page number not for citation purposes)


Evaluation of the effect of myocardial localisation errors on myocardial blood flow estimates from DCE-MRI

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Evaluation of the Effect of Myocardial Localisation Errors on Myocardial Blood Flow Estimates from Myocardial Perfusion MRI

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