Why the study?
Does left ventricular regional shape dynamics analysis by 3D cardiac MRI accurately distinguish between normal volunteers and patients with first-time myocardial infarction?
Does left ventricular regional shape dynamics analysis by 3D cardiac MRI accurately distinguish between normal volunteers and patients with first-time myocardial infarction?
A novel 3D cardiac MRI index based on curvedness and Fourier Series can accurately distinguish between normal left ventricles and those with myocardial infarction, offering potential diagnostic and prognostic value.
May aid LV shape analysis for post-MI detection on 3D MRI; hypothesis-generating and should not yet change practice.
Geometric remodelling of the left ventricle (LV) following myocardial infarction reflects on the geometric characteristics directly. This study focuses on a potential index based on curvedness. Nine consecutive normal volunteers and thirty consecutive myocardial infarction patients underwent MRI scan (twenty-seven patients had follow-up scan). Short-axis cine images of all cases were delineated. Three dimensional LV models were reconstructed and restored for possible motion distortion. The curvedness values were computed over 16-segments nomenclature. The curvedness signal for each segment over twenty-two time frames were fitted using a second order Fourier Series. Fourier coefficients were extracted and unsupervised learning was conducted between normal and patient data. An accuracy of 89% and adjusted Rand Index of 0.5374 suggest that these Fourier Series and curvedness based features can be an useful index for prognosis and diagnosis in clinical practice.
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Wan et al. (2014) studied this question.
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