Signal Processing and Information Technology. Second International Joint Conference, SPIT 2012, Dubai, UAE, September 20-21, 2012, Revised Selected Papers

Research Article

A Novel Method for Left Ventricle Volume Measurement on Short Axis MRI Images Based on Deformable Superellipses

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  • @INPROCEEDINGS{10.1007/978-3-319-11629-7_15,
        author={Mostafa Oghli and Alireza Fallahi and Vahab Dehlaqi and Mohammad Pooyan and Nazanin Abdollahi},
        title={A Novel Method for Left Ventricle Volume Measurement on Short Axis MRI Images Based on Deformable Superellipses},
        proceedings={Signal Processing and Information Technology. Second International Joint Conference, SPIT 2012, Dubai, UAE, September 20-21, 2012, Revised Selected Papers},
        proceedings_a={SPIT},
        year={2014},
        month={11},
        keywords={Left ventricle Volume measurement Short axis cardiac MR Superellipse Levenberg Marquardt algorithm},
        doi={10.1007/978-3-319-11629-7_15}
    }
    
  • Mostafa Oghli
    Alireza Fallahi
    Vahab Dehlaqi
    Mohammad Pooyan
    Nazanin Abdollahi
    Year: 2014
    A Novel Method for Left Ventricle Volume Measurement on Short Axis MRI Images Based on Deformable Superellipses
    SPIT
    Springer
    DOI: 10.1007/978-3-319-11629-7_15
Mostafa Oghli, Alireza Fallahi1, Vahab Dehlaqi2, Mohammad Pooyan3, Nazanin Abdollahi3
  • 1: Hamedan University of Technology
  • 2: Kermanshah University of Medical Sciences
  • 3: Shahed University

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.