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Although accurate and robust estimations of the deforming cardiac geometry and kinematics from cine tomographic medical image sequences remain a technical challenge, they have significant clinical value. Traditionally, boundary or volumetric segmentation and motion estimation problems are considered as two sequential steps, even though the order of these processes can be different. In this paper,...
Local contractility evaluation is a promising area of cardiovascular research. We propose strain (local deformation measure) calculation method based on 2d non-rigid image registration on CINE magnetic resonance imaging data. First we register pairs of consecutive images in time series then we apply the results to whole study. Presented 2d approach is stable and faster then 3d or 3d+t methods. We...
Segmentation of the myocardium in echocardiographic images is an important task for the diagnosis of heart disease. This task is difficult due to the inherent problems of echographic images (i.e. low contrast, speckle noise, signal dropout, presence of shadows). In this article, we extend a level-set method recently proposed in [1] in order to track the whole myocardium in echocardiographic sequences...
Tracking the mitral valve leaflet in an ultrasound sequence is a challenging task because of the poor image quality and fast and irregular leaflet motion. Previous algorithms usually applied standard segmentation methods based on edges, object intensity and anatomical information to segment the mitral leaflet in static frames. However, they are limited in practical applications due to the requirement...
In this paper, we present a novel technique based on nonrigid image registration for myocardial motion estimation using both untagged and 3-D tagged MR images. The novel aspect of our technique is its simultaneous usage of complementary information from both untagged and 3-D tagged MR images. To estimate the motion within the myocardium, we register a sequence of tagged and untagged MR images during...
In this paper we propose an integrated cardiac segmentation and motion tracking algorithm. First, we present a subject-specific dynamical model (SSDM) that simultaneously handles inter-subject variability and temporal dynamics (intra-subject variability), such that it can progressively identify the subject vector associated with a new cardiac sequence, and use this subject vector to predict the subject-specific...
Many different techniques have been proposed to compute motion fields on Tagged MR imaging. However, most of them require tags segmentation or endo- epicardial contours segmentation. Automatic estimation of the myocardial motion field was extracted using a consecutive non-rigid registration algorithm based on a semilocal Bspline parametric model. The sequence was also represented in the Bspline space...
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