Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging

Nicholas Tran; Archontis Giannakidis; Grant T. Gullberg; Youngho Seo

doi:10.1117/1.JMI.3.4.046001

3 November 2016 Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging

Nicholas Tran; Archontis Giannakidis; Grant T. Gullberg; Youngho Seo

Author Affiliations +

J. of Medical Imaging, 3(4), 046001 (2016). https://doi.org/10.1117/1.JMI.3.4.046001

Abstract

Systemic hypertension is a causative factor in left ventricular hypertrophy (LVH). This study is motivated by the potential to reverse or manage the dysfunction associated with structural remodeling of the myocardium in this pathology. Using diffusion tensor magnetic resonance imaging, we present an analysis of myocardial fiber and laminar sheet orientation in ex vivo hypertrophic (6 SHR) and normal (5 WKY) rat hearts using the covariance of the diffusion tensor. First, an atlas of normal cardiac microstructure was formed using the WKY b0 images. Then, the SHR and WKY b0 hearts were registered to the atlas. The acquired deformation fields were applied to the SHR and WKY heart tensor fields followed by the preservation of principal direction (PPD) reorientation strategy. A mean tensor field was then formed from the registered WKY tensor images. Calculating the covariance of the registered tensor images about this mean for each heart, the hypertrophic myocardium exhibited significantly increased myocardial fiber derangement (p=0.017) with a mean dispersion of 38.7 deg, and an increased dispersion of the laminar sheet normal (p=0.030) of 54.8 deg compared with 34.8 deg and 51.8 deg, respectively, in the normal hearts. Results demonstrate significantly altered myocardial fiber and laminar sheet structure in rats with hypertensive LVH.

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Nicholas Tran, Nicholas Tran, Archontis Giannakidis, Archontis Giannakidis, Grant T. Gullberg, Grant T. Gullberg, Youngho Seo, Youngho Seo, } "Quantitative analysis of hypertrophic myocardium using diffusion tensor magnetic resonance imaging," Journal of Medical Imaging 3(4), 046001 (3 November 2016). https://doi.org/10.1117/1.JMI.3.4.046001 . Submission:

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