Literature DB >> 16177509

Assessment of left ventricular contraction by parametric analysis of main motion (PAMM): theory and application for echocardiography.

C Ruiz Dominguez1, N Kachenoura, A De Cesare, A Delouche, P Lim, O Gérard, A Herment, B Diebold, F Frouin.   

Abstract

The computerized study of the regional contraction of the left ventricle has undergone numerous developments, particularly in relation to echocardiography. A new method, parametric analysis of main motion (PAMM), is proposed in order to synthesize the information contained in a cine loop of images in parametric images. PAMM determines, for the intensity variation time curves (IVTC) observed in each pixel, two amplitude coefficients characterizing the continuous component and the alternating component; the variable component is generated from a mother curve by introducing a time shift coefficient and a scale coefficient. Two approaches, a PAMM data driven and a PAMM model driven (simpler and faster), are proposed. On the basis of the four coefficients, an amplitude image and an image of mean contraction time are synthesized and interpreted by a cardiologist. In all cases, both PAMM methods allow better IVTC adjustment than the other methods of parametric imaging used in echocardiography. A preliminary database comprising 70 segments is scored and compared with the visual analysis, taken from a consensus of two expert interpreters. The levels of absolute and relative concordance are 79% and 97%. PAMM model driven is a promising method for the rapid detection of abnormalities in left ventricle contraction.

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Year:  2005        PMID: 16177509     DOI: 10.1088/0031-9155/50/14/006

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

1.  Interpretation of cardiac wall motion from cine-MRI combined with parametric imaging based on the Hilbert transform.

Authors:  Narjes Benameur; Enrico Gianluca Caiani; Younes Arous; Nejmeddine Ben Abdallah; Tarek Kraiem
Journal:  MAGMA       Date:  2017-02-20       Impact factor: 2.310

2.  Automatic classification of left ventricular regional wall motion abnormalities in echocardiography images using nonrigid image registration.

Authors:  Ahmad Shalbaf; Hamid Behnam; Zahra Alizade-Sani; Maryam Shojaifard
Journal:  J Digit Imaging       Date:  2013-10       Impact factor: 4.056

  2 in total

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