14 March 2011 A joint model for boundaries of multiple anatomical parts
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Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 796246 (2011) https://doi.org/10.1117/12.877694
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States
Abstract
The use of joint shape analysis of multiple anatomical parts is a promising area of research with applications in medical diagnostics, growth evaluations, and disease characterizations. In this paper, we consider several features (shapes, orientations, scales, and locations) associated with anatomical parts and develop probability models that capture interactions between these features and across objects. The shape component is based on elastic shape analysis of continuous boundary curves. The proposed model is a second order model that considers principal coefficients in tangent spaces of joint manifolds as multivariate normal random variables. Additionally, it models interactions across objects using area-interaction processes. Using given observations of four anatomical parts: caudate, hippocampus, putamen and thalamus, on one side of the brain, we first estimate the model parameters and then generate random samples from them using the Metropolis-Hastings algorithm. The plausibility of these random samples validates the proposed models.
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Grégoire Kerr, Grégoire Kerr, Sebastian Kurtek, Sebastian Kurtek, Anuj Srivastava, Anuj Srivastava, "A joint model for boundaries of multiple anatomical parts", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 796246 (14 March 2011); doi: 10.1117/12.877694; https://doi.org/10.1117/12.877694
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