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We present a novel method for tracking the left ventricle (LV) in three-dimensional ultrasound data using an hybrid approach combining segmentation and tracking-based clues. This is accomplished by coupling an affine motion model to an existing LV segmentation framework and introducing an energy term that penalizes the deviation to the affine motion estimated using a global Lucas-Kanade algorithm...
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