Abstract
Diagnosis and treatment follow-up of cardiac diseases can rely on numerous cardiac imaging modalities. Among these modalities Cardiac Magnetic Resonance (CMR) has become a reference examination for cardiac morphology, function and perfusion in humans. It is the current reference standard for the assessment of both left and right ventricular volumes and mass. There are numerous automatic and semi-automatic methods for cardiac cavities segmentation and volume measurement but the problem is still open. In this paper a novel semi automatic method is proposed based on parametric model, superellipse, for segmentation and measurement the volume of the left ventricle on short axis MRI images. For fitting superellipse on MR images, a set of data points has been needed as a partial data. These data points are been provided by user and this fact put our method in the category of semi-automatic methods.
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© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Oghli, M.G., Fallahi, A., Dehlaqi, V., Pooyan, M., Abdollahi, N. (2014). A Novel Method for Left Ventricle Volume Measurement on Short Axis MRI Images Based on Deformable Superellipses. In: Das, V.V., Elkafrawy, P. (eds) Signal Processing and Information Technology. SPIT 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 117. Springer, Cham. https://doi.org/10.1007/978-3-319-11629-7_15
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DOI: https://doi.org/10.1007/978-3-319-11629-7_15
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