Int J Comput Assist Radiol Surg - Left ventricle wall motion quantification from echocardiographic images by non-rigid image registration.

Tópicos

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Resumo

RPOSE: The aim of this study is to evaluate the efficiency of applying a new non-rigid image registration method on two-dimensional echocardiographic images for computing the left ventricle (LV) myocardial motion field over a cardiac cycle.METHODS: The key feature of our method is to register all images in the sequence to a reference image (end-diastole image) using a hierarchical transformation model, which is a combination of an affine transformation for modeling the global LV motion and a free-form deformation (FFD) transformation based on B-splines for modeling the local LV deformation. Registration is done by minimizing a cost function associated with the image similarity based on a global pixel-based matching and the smoothness of transformation. The algorithm uses a fast and robust optimization strategy using a multiresolution approach for the estimation of parameters of the deformation model. The proposed algorithm is evaluated for calculating the displacement curves of two expert-identified anatomical landmarks in apical views of the LV for 10 healthy volunteers and 14 subjects with pathology. The proposed algorithm is also evaluated for classifying the regional LV wall motion abnormality using the calculation of the strain value at the end of systole in 288 segments as scored by two consensual experienced echocardiographers in a three-point scale: 1: normokinesia, 2: hypokinesia, and 3: akinesia. Moreover, we compared the results of the proposed registration algorithm to those previously obtained using the other image registration methods.RESULTS: Regarding to the reference two experienced echocardiographers, the results demonstrate the proposed algorithm more accurately estimates the displacement curve of the two anatomical landmarks in apical views than the other registration methods in all data set. Moreover, the p values of the t test for the strain value of each segment at the end of systole measured by the proposed algorithm show higher differences than the other registration method. These differences are between each pair of scores in all segments and in three segments of septum independently.CONCLUSIONS: The clinical results show that the proposed algorithm can improve both the calculation of the displacement curve of every point of LV during a cardiac cycle and the classification of regional LV wall motion abnormality. Therefore, this diagnostic system can be used as a useful tool for clinical evaluation of the regional LV function.

Resumo Limpo

rpose aim studi evalu effici appli new nonrigid imag registr method twodimension echocardiograph imag comput left ventricl lv myocardi motion field cardiac cyclemethod key featur method regist imag sequenc refer imag enddiastol imag use hierarch transform model combin affin transform model global lv motion freeform deform ffd transform base bspline model local lv deform registr done minim cost function associ imag similar base global pixelbas match smooth transform algorithm use fast robust optim strategi use multiresolut approach estim paramet deform model propos algorithm evalu calcul displac curv two expertidentifi anatom landmark apic view lv healthi volunt subject patholog propos algorithm also evalu classifi region lv wall motion abnorm use calcul strain valu end systol segment score two consensu experienc echocardiograph threepoint scale normokinesia hypokinesia akinesia moreov compar result propos registr algorithm previous obtain use imag registr methodsresult regard refer two experienc echocardiograph result demonstr propos algorithm accur estim displac curv two anatom landmark apic view registr method data set moreov p valu t test strain valu segment end systol measur propos algorithm show higher differ registr method differ pair score segment three segment septum independentlyconclus clinic result show propos algorithm can improv calcul displac curv everi point lv cardiac cycl classif region lv wall motion abnorm therefor diagnost system can use use tool clinic evalu region lv function

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