The medical image analysis field has traditionally been focused on the development of
organ-, and disease-specific methods. Recently, the interest in the development of more …

Segmentation of the wrist bones in CT images has been frequently used in different clinical
applications including arthritis evaluation, bone age assessment and image-guided …

Accurate and efficient segmentation of the hippocampus from brain images is a challenging
issue. Although experienced anatomic tracers can be reliable, manual segmentation is a …

Region of interest (ROI) analysis is a very common procedure for morphometry studies of
brain structures, where each structure is usually isolated from the rest of the brain and …

Learning probability distributions of the shape of anatomic structures requires fitting shape
representations to human expert segmentations from training sets of medical images. The …

Many brain morphometry studies have been performed in order to characterize the brain
atrophy pattern of Alzheimer's disease (AD). The earliest studies focused on the volume of …

This paper presents a new active contour-based, statistical method for simultaneous
volumetric segmentation of multiple subcortical structures in the brain. In biological tissues …

Statistical shape models (SSMs) are state-of-the-art medical image analysis tools for
extracting and explaining shape across a set of biological structures. A combined analysis of …

A crucial problem in statistical shape analysis is establishing the correspondence of shape
features across a population. While many solutions are easy to express using boundary …

In questions of statistical shape analysis, the foremost is how such shapes should be
represented. The number of parameters required for a given accuracy and the types of …