In many cases, the accuracy of statistical pixel classification can be improved by applying a spatially varying prior that can be derived from a shape model. We propose to represent the prior knowledge on the spatial distribution of tissue classes by a distribution of shape particles, each representing one possible distribution of tissue classes. Classification and shape can then be optimized j...

Image segmentation with shape priors has received a lot of attention over the past few years. Most existing work focuses on a linearized shape space with small deformation modes around a mean shape, which is only relevant when considering similar shapes. In this thesis, we introduce a new framework that can handle more general shape priors. We model a category of shapes as a finite dimensional ...

Appearance and shape are two key elements exploited in medical image segmentation. However, in some medical image analysis tasks, appearance cues are weak/misleading due to disease/artifacts and often lead to erroneous segmentation. In this paper, a novel deformable model is proposed for robust segmentation in the presence of weak/misleading appearance cues. Owing to the less trustable appearan...

We propose a novel method for 3D image segmentation, where a Bayesian formulation, based on joint prior knowledge of the object shape and the image gray levels, along with information derived from the input image, is employed. Our method is motivated by the observation that the shape of an object and the gray level variation in an image have consistent relations that provide configurations and ...

We present a method to compute the conditional distribution of a statistical shape model given partial data. The result is a "posterior shape model", which is again a statistical shape model of the same form as the original model. This allows its direct use in the variety of algorithms that include prior knowledge about the variability of a class of shapes with a statistical shape model. Poster...

Local solid shape applies to the surface curvature of small surface patches-essentially regions of approximately constant curvatures-of volumetric objects that are smooth volumetric regions in Euclidean 3-space. This should be distinguished from local shape in pictorial space. The difference is categorical. Although local solid shape has naturally been explored in haptics, results in vision are...

We propose a new deformable shape model Active Shape Structural Model (ASSM) for recognition and reconstruction. The main features of ASSM are: (1) It describes variations of shape not only statistically as Active shape/Appearance model but also by structural variations. (2) Statistical and structural prior knowledge is integrated resulting in a multi-resolution shape description such that the ...