Statistical shape models (SSMs) have by now been firmly established as a robust tool for
segmentation of medical images. While 2D models have been in use since the early 1990s …

Segmentation of anatomical structures, from modalities like computed tomography (CT),
magnetic resonance imaging (MRI) and ultrasound, is a key enabling technology for medical …

Active contour segmentation and its robust implementation using level set methods are well-
established theoretical approaches that have been studied thoroughly in the image analysis …

A thoroughly revised and updated edition of this introduction to modern statistical methods
for shape analysis Shape analysis is an important tool in the many disciplines where objects …

We review methods designed to compute correspondences between geometric shapes
represented by triangle meshes, contours or point sets. This survey is motivated in part by …

Statistical models of shape and appearance are powerful tools for interpreting medical
images. We assume a training set of images in which corresponding landmark points have …

The task of segmenting the lung fields, the heart, and the clavicles in standard posterior–
anterior chest radiographs is considered. Three supervised segmentation methods are …

We propose an automatic four-chamber heart segmentation system for the quantitative
functional analysis of the heart from cardiac computed tomography (CT) volumes. Two topics …

Bone age rating is associated with a considerable variability from the human interpretation,
and this is the motivation for presenting a new method for automated determination of bone …

The last half century has seen the development of many biological or physical t-ories that
have explicitly or implicitly involved medial descriptions of objects and other spatial entities …