Robust exemplar model of respiratory liver motion and individualization using an additional breath-hold image
IEEE International Symposium on Biomedical Imaging(2015)
摘要
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 mean (95%) prediction improvements of 6% (6%) for tracking errors with 1mm standard deviation. Individualization by an example 3D motion field from the 4D-MRI provided additional improvements (mean: 7%, 95%: 13%). Similar benefits could be achieved from breath-hold images, after automatically detecting and excluding unsuitable motion examples.
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关键词
Respiratory motion, statistical motion model, image-guided therapy, liver
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