Deformation analysis of 3D tagged cardiac images using an optical flow method

Chun Xu, James J Pilla, Gamaliel Isaac, Joseph H Gorman, Aaron S Blom, Robert C Gorman, Zhou Ling, Lawrence Dougherty
2010 Journal of Cardiovascular Magnetic Resonance  
This study proposes and validates a method of measuring 3D strain in myocardium using a 3D Cardiovascular Magnetic Resonance (CMR) tissue-tagging sequence and a 3D optical flow method (OFM). Methods: Initially, a 3D tag MR sequence was developed and the parameters of the sequence and 3D OFM were optimized using phantom images with simulated deformation. This method then was validated in-vivo and utilized to quantify normal sheep left ventricular functions. Results: Optimizing imaging and OFM
more » ... ameters in the phantom study produced sub-pixel root-mean square error (RMS) between the estimated and known displacements in the x (RMS x = 0.62 pixels (0.43 mm)), y (RMSy = 0.64 pixels (0.45 mm)) and z (RMSz = 0.68 pixels (1 mm)) direction, respectively. In-vivo validation demonstrated excellent correlation between the displacement measured by manually tracking tag intersections and that generated by 3D OFM (R ≥ 0.98). Technique performance was maintained even with 20% Gaussian noise added to the phantom images. Furthermore, 3D tracking of 3D cardiac motions resulted in a 51% decrease in in-plane tracking error as compared to 2D tracking. The in-vivo function studies showed that maximum wall thickening was greatest in the lateral wall, and increased from both apex and base towards the mid-ventricular region. Regional deformation patterns are in agreement with previous studies on LV function. Conclusion: A novel method was developed to measure 3D LV wall deformation rapidly with high in-plane and through-plane resolution from one 3D cine acquisition.
doi:10.1186/1532-429x-12-19 pmid:20353600 pmcid:PMC2856559 fatcat:qdqe2zbddjdrxil5imqw63lq7a