Purpose: In the segmentation of sequential treatment‐time CT prostate images acquired in
image‐guided radiotherapy, accurately capturing the intrapatient variation of the patient …

Object Oriented Data Analysis is a framework that facilitates inter-disciplinary research
through new terminology for discussing the often many possible approaches to the analysis …

The shape of a population of geometric entities is characterized by both the common
geometry of the population and the variability among instances. In the deformable model …

Statistical measurements of the variability of probability distributions are important in many
image analysis applications. For instance, let the appearance of a material in a picture be …

For many years we have been developing a variety of methods that together would allow
segmentation of 3D objects from medical images in a way reflecting knowledge of both the …

Training a shape prior has been potent scheme for anatomical object segmentations,
especially for images with noisy or weak intensity patterns. When the shape representation …

Both posterior optimization of deformable shape models and multiscale approaches have
been potent directions for segmentation. In this work these two concepts are united. It is …

Many organs in the human body are nearly tubular in shape, ie, have circular cross-sections.
Examples are portions of blood vessels and the colon. The method of segmentation of slab …

Training a shape prior has been potent scheme for anatomical object segmentations,
especially for images with noisy or weak intensity patterns. When the shape representation …

Image‐guided radiotherapy (IGRT), adaptive radiotherapy (ART), and online reoptimization
rely on accurate mapping of the radiation beam isocenter (s) from planning to treatment …