Feature Tracking: a novel method to analyze myocardial strain: Results from the CMR strain study in healthy volunteers
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POSTER PRESENTATION
Open Access
Feature Tracking: a novel method to analyze myocardial strain: Results from the CMR strain study in healthy volunteers Madhavi Kadiyala*, Rena Toole, Kathleen Bertman, Simcha Pollack, Nathaniel Reichek From 2011 SCMR/Euro CMR Joint Scientific Sessions Nice, France. 3-6 February 2011 Objective We sought to determine normal gender-specific strain values in healthy subjects using Feature Tracking (FT-MRI). Background Feature tracking (FT-MRI) is a novel MRI based method to analyze myocardial strain that is fast, simple and has potential for clinical use. Similar to echocardiographic “speckle tracking” myocardial “features” can be tracked
on routine steady state free precession or gradient echo images without the need for additional tagged imaging.
Methods Global and regional strains including circumferential (endocardial and epicardial Ecc), radial (Err) and longitudinal (Ell) strains were obtained with FT-MRI (Diogenes v Tomtec Systems) in 60 carefully screened normal subjects. Strains were derived from three long
Figure 1
Saint Francis Hospital, The Heart Center, Roslyn, NY, USA © 2011 Kadiyala 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.
Kadiyala et al. Journal of Cardiovascular Magnetic Resonance 2011, 13(Suppl 1):P14 http://jcmr-online.com/content/13/S1/P14
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axis (four, three and two chamber) and three short axis views (basal, mid and apical ) after semi automated tracing of endocardial and epicardial borders. Strains were mapped to a 17 segment AHA model and regional strains in the left anterior descending (LAD), circumflex (LCX) and right coronary (RCA) territories derived.
Results There were 29 men and 31 women with mean age 54 (14) yrs. The peak global strains were : Ecc (endo) -24 (4)%, Ecc (epi)-16(3)%( difference p
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