Christoph Guetter

Hui Xue

James Carr

Jens Guehring

Jeremy D Collins

Marie Wasielewski

Marie-Pierre Jolly

MP Jolly

Neil Chatterjee

Peter J Weale

Sven Zuehlsdorff

Xiaoguang Lu

English

PubMed

Crossref

Journal of Cardiovascular Magnetic Resonance

A novel, automated method for measuring mitral valve annular velocity from standard cine TrueFISP data - a feasibility study

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ORAL PRESENTATION Open Access
A novel, automated method for measuring mitral
valve annular velocity from standard cine
TrueFISP data - a feasibility study
Peter J Weale1*, Christoph Guetter2, Jeremy D Collins3, Marie Wasielewski3, Neil Chatterjee4, Marie-Pierre Jolly2,
Hui Xue2, Xiaoguang Lu2, Jens Guehring2, Sven Zuehlsdorff1, James Carr3
From 2011 SCMR/Euro CMR Joint Scientific Sessions
Nice, France. 3-6 February 2011
Introduction
A novel method for determining a correlate of Tissue
Doppler Imaging (TDI) parameters from cine TrueFisp
data. Using the velocity of automatically identified and
tracked landmarks,time/velocity data and hence s’, e’
and a’ can be derived.
Purpose
To validate mitral valve annular velocities extracted in
an automated fashion using an established algorithm for
database guided landmark detection and temporal pro-
pagation based on inverse consistent non-rigid registra-
tion [1] in a normal population.
To correlate the derived early diastolic myocardial
peak-velocity measurements (e prime or e’) against
phase contrast methods and to evaluate correlation
with age.
Methods
A cohort of 12 healthy volunteers (7F, 22 to 62 yrs) was
recruited under an IRB approved protocol. Cine True-
FISP data was acquired in the four chamber orientation
with temporal resolution of 7,10,20,30,40 and 50ms.
with the aim of assessing the performance of the auto-
matic tracking algorithm with increased sampling rate.
e’ was derived from time-velocity curves (Figure 1)
extracted from the frame to frame change in position of
the track points.
In a sub-cohort of 6 subjects breath-hold and free
breathing phase contrast data (Venc 25cm/s) was
acquired in the short axis orientation at a slice position
where the myocardium on the apical side of the valve
ring was within the slice throughout the cardiac cycle.
Lateral and septal myocardium at the intersection of
the four chamber orientation was then evaluated using
standard flow post-processing and e’ velocities derived.
Results
For each temporal resolution, the mean e’ velocity was
calculated across all subjects. The results demonstrate
the expected increase in detected peak e’ with improving
temporal resolution but at <20ms the data develops an
increasing variance as illustrated in table 1.
Using e’ derived from the lateral landmark with 30 ms
temporal resolution , a good correlation with both
breath-hold and free breathing phase contrast data (r =
0.80 for both) is seen.
Measured e’ demonstrates an inverse correlation with
subject age (r = - 0.74)
Conclusions
This novel method of deriving mitral annular velocities
is potentially a method for extracting data which may
correlate with TDI.
It is simple extension of an existing algorithm which
provides measurement of s’ eand a’ from standard ima-
ging data. Validation against TDI is ongoing.
Author details
1Siemens Healthcare USA, Chicago, IL, USA. 2Siemens Corporate Research,
Princeton, NJ, USA. 3Northwestern University, Department of Radiolgy,
Chicago, IL, USA. 4Northwestern University Feinberg School of Medicine,
Chicago, IL, USA.
Published: 2 February 2011
1Siemens Healthcare USA, Chicago, IL, USA
Full list of author information is available at the end of the article
Weale et al. Journal of Cardiovascular Magnetic Resonance 2011, 13(Suppl 1):O48
http://jcmr-online.com/content/13/S1/O48
© 2011 Weale 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.
Reference
1. Jolly MP, Guetter C, Guehring J: “Cardiac Segmentation in MR Cine Data
Using Inverse Consistent Deformable Registration”. Proc.ISBI Rotterdam;
2010.
doi:10.1186/1532-429X-13-S1-O48
Cite this article as: Weale et al.: A novel, automated method for
measuring mitral valve annular velocity from standard cine TrueFISP
data - a feasibility study. Journal of Cardiovascular Magnetic Resonance
2011 13(Suppl 1):O48.
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Figure 1 Time/Velocity curve showing depiction of s’ e’ and a’.
Table 1 Lateral and Septal e prime - effect of temporal resolution
Temporal Resolution(ms) Septal e’ cm.s-1 Septal Standard Deviation Lateral e’ cm.s-1 Lateral Standard Deviation
7 46.69 29.81 28.69 17.91
10 26.24 17.83 18.62 8.02
20 15.48 9 14.41 5.7
30 10.72 5.81 10.72 5.81
40 8.45 4.1 8.45 4.1
50 6.37 2.6 6.37 2.6
Figure 2 Automatically generated tracking points.
Weale et al. Journal of Cardiovascular Magnetic Resonance 2011, 13(Suppl 1):O48
http://jcmr-online.com/content/13/S1/O48
Page 2 of 2


Guehring Jens

Lu Xiaoguang

Xue Hui

Jolly Marie-Pierre

Chatterjee Neil

Wasielewski Marie

Collins Jeremy D

Guetter Christoph

Weale Peter J

Zuehlsdorff Sven

Carr James

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Cardiac Segmentation in MR Cine Data Using Inverse Consistent Deformable Registration”. Proc.ISBI Rotterdam;

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A novel, automated method for measuring mitral valve annular velocity from standard cine TrueFISP data - a feasibility study

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