Abstract
Modeling ubiquitous physical deformation of organs and other anatomical structures lies at the heart of a vast range of medical imaging applications. Often, clinicians need to know where and how things move and change in order to provide accurate diagnosis and/or to deliver precise treatment. Statistical approaches provide a powerful means to analyze, describe and predict the deformation so it can be modeled and usually better understood. This is carrying growing significance as recent advance in medical image acquisition and collection has presented a unique opportunity to generate training data for statistical analysis and, therefore, effectively contribute to human knowledge base, coining the modern evidence-based medicine.
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