Regional Appearance in Deformable Model Segmentation

Automated medical image segmentation is a challenging task that benefits from the use of effective image appearance models. In this paper, we compare appearance models at three regional scales for statistically characterizing image intensity near object boundaries in the context of segmentation via deformable models. The three models capture appearance in the form of regional intensity quantile functions. These distribution-based regional image descriptors are amenable to Euclidean methods such as principal component analysis, which we use to build the statistical appearance models. The first model uses two regions, the interior and exterior of the organ of interest. The second model accounts for exterior inhomogeneity by clustering on object-relative local intensity quantile functions to determine tissue-consistent regions relative to the organ boundary. The third model analyzes these image descriptors per geometrically defined local region. To evaluate the three models, we present se...

• Type: Conference
• Year: 2007
• Where: IPMI
• Authors: Joshua Stough, Robert E. Broadhurst, Stephen M. Pizer, Edward L. Chaney
• Keywords: Image Appearance Models, Intensity Quantile Functions, IPMI 2007, Medical Imaging, Models Capture Appearance