<ol>
	<li>Hor, K. N., Gottliebson, W. M., Carson, C., Wash, E., Cnota, J., Fleck, R., Wansapura, J., Klimeczek, P., Al-Khalidi, H. R., Chung, E. S., Benson, D. W., Mazur, W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Magnetic+Resonance+Feature+Tracking:+Comparison+of+Feature+Tracking+Method+for+Strain+Calculation+with+Harmonic+Phase+Imaging+Analysis+.">Magnetic Resonance Feature Tracking: Comparison of Feature Tracking Method for Strain Calculation with Harmonic Phase Imaging Analysis .</a> JACC Cardiovasc Imaging. 3 (2), 152-154 (2010).</li><li>Maret, E., Todt, T., Brudin, L., Nylander, E., Swahn, E., Ohlsson, J. L., Engvall, J. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Functional+measurement+based+on+feature+tracking+of+cine+magnetic+resonance+images+identify+left+ventricular+segments+with+myocardial+scar.">Functional measurement based on feature tracking of cine magnetic resonance images identify left ventricular segments with myocardial scar.</a> Cardiovascular Ultrasound. 7, 53-53 (2009).</li><li>Singh, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Optic Flow Computation: A Unified Perspective. , (1992).</li><li>Barron, J. L., Fleet, D. J., Beauchemin, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Performance+of+optical+flow+techniques.">Performance of optical flow techniques.</a> International Journal of Computer Vision. 12, 43-77 (1994).</li><li>Bohs, L. N., Geiman, B. J., Anderson, M. E., Gebhart, S. C., Trahey, G. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Speckle+tracking+for+multi-dimensional+flow+estimation.">Speckle tracking for multi-dimensional flow estimation.</a> Ultrasonics. 38, 369-375 (2000).</li><li>Malpica, N., Santos, A., Zuluaga, M. A., Ledesma, M. J., P&#233;rez, E., Garcia-Fernandez, M. A., Desco, M., M, . <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Tracking+of+Regions-of-Interest+in+myocardial+contrast+echocardiography.">Tracking of Regions-of-Interest in myocardial contrast echocardiography.</a> Ultrasound in Med. &#38; Biol. 30, 303-309 (2004).</li></ol>

Rolf Baumann is employee of TomTec Imaging Systems GmbH, Germany

We describe a new method "feature tracking" to measure deformation and displacement parameters in myocardial tissue derived from SSFP images. This method was recently validated against HARP in assessment of peak global circumferential strain in a large population of patients with Duchenne Muscular Dystrophy (1). We found an excellent correlation between those two techniques. Feature tracking technology is relatively simple in usage and does not need any additional imaging sequences such as tagging, SENSE or DENSE. In addition to clinically validated assessment of peak global Ecc, regional strain data can be derived as well FT appears to be a robust technique able to estimate longitudinal and radial LV strain as well as longitudinal right ventricular strain.
More studies need to be done in order to exactly determine the limits of the technique regarding temporal and spatial resolution of the image. FT allows comparisons across other modalities such as echocardiography since the basic principle is the same.
Conclusion
Feature tracking has the potential to be integrated in clinical practice since it eliminates the need of time consuming analysis and additional acquisition procedure. FT can be used for assessment of left and right ventricular global and segmental strains, left ventricular dyssynchrony. Further clinical studies are underway to assess usefulness of FT in clinical cardiology.

A correction was made to <a href="http://www.jove.com/video/2356">Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking</a>. An author's given name was updated.
The author's name was updated from:
Woodrow Benson
to:
D. Woodrow Benson

A correction was made to <a href="http://www.jove.com/video/2356">Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking</a>. An author's given name was updated.

Erratum: Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

<ul>
<li>Diogenes&reg; Feature Tracking software ( TomTec Imaging Systems, Fulda, Germany)</li>
</ul>

magnetic resonance derived myocardial strain assessment using feature tracking

Purpose: An accurate and practical method to measure parameters like strain in myocardial tissue is of great clinical value, since it has been shown, that strain is a more sensitive and earlier marker for contractile dysfunction than the frequently used parameter EF. Current technologies for CMR are time consuming and difficult to implement in clinical practice. Feature tracking is a technology that can lead to more automization and robustness of quantitative analysis of medical images with less time consumption than comparable methods.
Methods: An automatic or manual input in a single phase serves as an initialization from which the system starts to track the displacement of individual patterns representing anatomical structures over time. The specialty of this method is that the images do not need to be manipulated in any way beforehand like e.g. tagging of CMR images.
Results: The method is very well suited for tracking muscular tissue and with this allowing quantitative elaboration of myocardium and also blood flow.
Conclusions: This new method offers a robust and time saving procedure to quantify myocardial tissue and blood with displacement, velocity and deformation parameters on regular sequences of CMR imaging. It therefore can be implemented in clinical practice.

Watch this Scientific Journal Video about Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking at JoVE.com

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

An accurate and practical method to measure parameters like strain in myocardial tissue is of great clinical value, since it has been shown, that strain is a more sensitive and earlier marker for contractile dysfunction than the frequently used parameter EF.

Purpose: An accurate and practical method to measure parameters like strain in myocardial tissue is of great clinical value, since it has been shown, that ...

magnetic-resonance-derived-myocardial-strain-assessment-using-feature

Research

JoVE Journal

Medicine

14.1K Views.  Cincinnati Children Hospital Medical Center (CCHMC). An accurate and practical method to measure parameters like strain in myocardial tissue is of great clinical value, since it has been shown, that strain is a more sensitive and earlier marker for contractile dysfunction than the frequently used parameter EF. 