Rationale and Objectives The automated segmentation of organs and tissues throughout the
body using computed tomography and magnetic resonance imaging has been rapidly …

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 …

Statistical shape models (SSM) are used to introduce shape priors in the segmentation of
medical images. However, such models require large training datasets in the case of multi …

For wrist complaints related to motion, a 2-D radiograph or CT scan of the static wrist may
not always be considered diagnostic. 3-D motion imaging, ie, multiple 3DCT scans in time …

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 …

Objective: Image segmentation is a crucial and fundamental step in many medical image
analysis tasks, such as tumor measurement, surgery planning, disease diagnosis, etc. To …

Abstract Statistical Shape Models (SSMs) have achieved considerable success in medical
image segmentation. A high quality SSM is able to approximate the main plausible …

We present a method that quantifies point-wise changes in surface morphology of the bones
of the human wrist. The proposed method, referred to as Registration-based Bone …

Segmentation of the carpal bones from 3D imaging modalities, such as magnetic resonance
imaging (MRI), is commonly performed for in vivo analysis of wrist morphology, kinematics …

Groupwise registration of point sets is the fundamental step in creating statistical shape
models (SSMs). When the number of points on the sets varies across the population, each …