- Oral presentation
- Open Access
CMR myocardial texture analysis tracks different etiologies of left ventricular hypertrophy
© Schofield et al. 2016
- Published: 27 January 2016
- Left Ventricular Hypertrophy
- Aortic Stenosis
- Late Gadolinium Enhancement
- Texture Analysis
- Tissue Characterisation
Defining the underlying etiology of heart muscle disease is important. Tissue characterisation with late gadolinium enhancement (LGE) and the newer parametric mapping technologies aim to do this. Texture analysis (TA) is another tool that may help. Macroscopic heterogeneity in texture on diagnostic imaging, both at and beyond that appreciated by the human eye, are known to track microscopic histological characteristics in other branches of medicine (computed tomography, oncology). We hypothesised that TA could be 1. translated to CMR cine images and quantify and detect image signal heterogeneity, and 2. the measured signal would track underlying disease etiology.
185 cases were studied: (50 HCM, 52 amyloid, 68 aortic stenosis (AS) and 15 healthy controls). All images were pre-contrast and considered free of susceptibility artefact or any gating abnormalities. For each only the end-diastolic frame of a mid short axis cine was studied. Analysis was using TexRAD commercial research software (TexRAD Ltd, http://www.texrad.com, part of Feedback Plc, Cambridge, UK). The analysis comprised firstly selective scale image filtration to extract features corresponding to fine, medium and coarse texture scales, and secondly texture quantification by histogram analysis quantified using 6 parameters: mean intensity, standard-deviation (SD), entropy, mean of positive pixels (MPP), skewness, and kurtosis.
Texture analysis of conventional CMR cine images may complement conventional myocardial tissue characterisation in LVH - here detecting changes that appear to track etiology and LGE scar.
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