Front Inner Page - Volume 4 No.1 February 2017

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  • Title

    :

    A Statistical Pattern Recognition Approach for Tracking Left Ventricle Endocardium

    Authors

    :

    V.Abuhanifa1, D.John Pragasam2

    Keywords

    :

    Left Ventricle Segmentation, Particle Filters,Dynamical Model, Discriminative Classifiers.

    Issue Date

    :

    February 2017

    Abstract

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    The Left Ventricle endocardium has a difficult problem can be determined by a new statistical pattern recognition approach. In this pattern, resampling algorithm along with the current time step is estimated and appearance, motion and shape of the current images are segmented. The new presence of the left ventricle shape is decoupled for reducing the running time complexity. Thus the proposed model uses diastole and systole motion of a heart which is used to identify the problem present in the left ventricle. The left ventricle endocardium problem is identified by comparing with the data set of healthy cases and the deviation of left ventricle is identified by Statistical Image Reconstruction (SIR) Algorithm. The nonconformity of left ventricle to that of healthy cases is used for easy diagnosis.

    Page(s)

    :

    1-6

    ISSN

    :

    2347- 4734

    Source

    :

    Vol. 4, No.1, February 2017

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