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Unique technique of strain analysis using image tracking method for tagging MRI and non-tagged cine SSFP images: validation by using Pig Model with myocardial infarction

Introduction

Assessment of cardiac function is essential for the assessment of the patients with cardiovascular diseases. Especially strain analysis using tagging MRI is extremely valuable for the assessment of the regional cardiac function. However, this analysis used tagging MRI is limited by tag fading and complicated analysis methods.

Purpose

We developed the software of strain analysis using image tracking for non-tagged standard steady state free precession (SSFP) cine MRI. The purpose of this study was to compare strain analysis by image tracking of SSFP cine MRI to HARP analysis of tagging MRI by using Pig model with myocardial infarction.

Methods

In four pigs with myocardial infarction, strains were measured in short axis view and long axis view of left ventricle, using automated tracking of image pattern (ZIOsoft Inc) visible in tagging MRI and non-tagged cine MRI. Left ventricle strains by our software were compared to measures with conventional tagging MRI by HARP (Diagnosoft Inc). Analyses were performed on the identical location of middle and base LV slices. Average Ecc was compared via Spearmen rank correlation and Bland-Altman comparison of methods in each segmented region.

Results

Our automated tracking system using image pattern precisely detected inner and outer contour of left ventricle and strain values were calculated in each segmented region. There was a excellent correlation and agreement for strain by HARP and strain by image tracking Ecc analysis of tagging MRI (r = 0.85, P < 0.0001 and -0.3 +/- 5.2) and non-tagged cine MRI (r = 0.61, P < 0.0001 and 0.8 +/- 8.8), respectively.

Conclusion

Strain analysis using our image tracking method is a feasible for the assessment of non-tagged SSFP cine MRI as well as tagging MRI, indicating a new unique approach for clinical comprehensive assessment of regional cardiac function.

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Correspondence to Kobayashi Yasuyuki.

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Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Yasuyuki, K., Schuleri, K., Lima, J.A. et al. Unique technique of strain analysis using image tracking method for tagging MRI and non-tagged cine SSFP images: validation by using Pig Model with myocardial infarction. J Cardiovasc Magn Reson 12, P246 (2010). https://doi.org/10.1186/1532-429X-12-S1-P246

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Keywords

  • Strain Analysis
  • Steady State Free Precession
  • Segmented Region
  • Automate Tracking
  • Image Tracking