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This study investigates the benefits of observing an example of the subject-specific 3D liver motion for individualizing a statistical population model and the influence of tracking errors on the model predictions based on 4D-MRI data from 16 subjects, simulated erroneous 2D tracking surrogates and leave-one-subject-out tests. A robust formulation of the exemplar model was proposed, which lead to...
In this study we propose to combine the outcome of four temporal prediction methods, which have different strength and weaknesses, by taking their median. Based on 25 motion traces from ultrasound liver tracking, this decision fusion provided statistically significantly better results than the individual outcomes for latencies from 150 to 1000ms. On average, RMS errors reduced by at least 50% in comparison...
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