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Statistical shape modelling (SSM) approaches have been proposed as a powerful tool to segment the left ventricle in cardiac magnetic resonance (CMR) images. Our aim was to extend this method to segment the RV cavity in CMR images and validate it compared to the conventional gold-standard (GS) manual tracing. A SSM of the RV was built using a database of 4347 intrinsically 3D surfaces, extracted from...
The right ventricle is a structurally and functionally complex chamber whose importance has been partially neglected previously. Right ventricular dimensions and function are known to be of diagnostic as well of prognostic importance in patients with cardiac disease.1–6 Unfortunately an accurate and rapid non-invasive assessment of right ventricular performance is challenging due to the complex structure...
Statistical shape models (SSMs) represent a powerful tool used in patient-specific modeling to segment medical images because they incorporate a-priori knowledge that guide the model during deformation. Our aim was to evaluate segmentation accuracy in terms of left ventricular (LV) volumes obtained using four different SSMs versus manual gold standard tracing on cardiac magnetic resonance (CMR) images...
Currently, clinical assessment of mitral regurgitation (MR) makes the use of 2D color Doppler imaging for the estimation of the vena contracta (VC) and of the effective regurgitant orifice area (EROA)‥Since the anatomic regurgitant orifice (ARO) has a 3D shape and it's not circular, it cannot be accurately represented by these 2D parameters. We developed a novel semiautomated method for 3D ARO segmentation...
Finite element models (FEMs) have been already widely used to analyze mitral valve (MV) biomechanics. Recently, strategies to implement patient-specific, image-based FEMs of the MV were proposed, improving their realism. In particular, we proposed to implement MV FEMs from real time 3D transthoracic echocardiographic imaging. To allow a future clinical use of this approach as a support tool for MV...
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