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P4A-5 3D Cardiac Strain Estimation Using Spatio-Temporal Elastic Registration: In Silico Validation | IEEE Conference Publication | IEEE Xplore

P4A-5 3D Cardiac Strain Estimation Using Spatio-Temporal Elastic Registration: In Silico Validation


Abstract:

Current ultrasound methods for measuring myocardial strain are often limited to measurements in one or two dimensions. Cardiac motion and deformation however are truly 3D...Show More

Abstract:

Current ultrasound methods for measuring myocardial strain are often limited to measurements in one or two dimensions. Cardiac motion and deformation however are truly 3D. With the introduction of matrix transducer technology, 3D ultrasound imaging of the heart has become feasible but suffers from low temporal and spatial resolution, making 3D strain estimation challenging. In this paper, it is shown that spatio- temporal elastic registration of currently available 3D volumetric ultrasound data sets can be used to measure the full 3D strain tensor. The method is validated using simulated data sets of the left ventricle. The regional motion of the ventricle was estimated with an accuracy of 10.14 plusmn 3.70% to 26.40 plusmn 11.95%, depending on the noise level and heart rate.
Date of Conference: 28-31 October 2007
Date Added to IEEE Xplore: 26 December 2007
ISBN Information:
Print ISSN: 1051-0117
Conference Location: New York, NY, USA

I. Introduction

Myocardial strain is measured as an important indicator to quantify myocardial function [1]. Doppler-based methods are traditionally used to measure myocardial strain [2]. A major disadvantage of this approach is the fact that it is only capable of measuring strain along the direction of propagation of the ultrasound wave, yielding a one dimensional strain measurement [3]. Methods based on tracking B-mode patterns or radio-frequency patterns within the image plane allow to measure myocardial strain in two dimensions [4]. Although this is obviously an improvement, it remains limited as cardiac motion and deformation is truly 3D. With the introduction of matrix array transducer technology, 3D ultrasound (US) imaging of the heart has become feasible [5]. However, the increased field of view in 3D US comes at the expense of a reduction in both spatial and temporal resolution, making decorrelation between consecutive image frames significant and therefore challenging 3D strain measurements. A prior study of our group showed that spatio-temporal elastic registration of such 3D volumetric ultrasound data sets can enable the measurement of the full 3D strain tensor in-vivo [6].

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