An important area of research in Computational Anatomy is to assign a metric space structure to 2D/3D images of anatomical structures.

COMPUTATIONAL ANATOMY: COMPUTING METRICS ON ANATOMICAL SHAPES. MF Beg, MI Miller. A Trouvé. Center for Imaging Science. Johns Hopkins University. Baltimore MD ...

Metric distances can be used to quantify the notion of close and far on anatomical shapes as represented in images. This is achieved by computing ...

An important area of research in Computational Anatomy is to assign a metric space structure to 2D/3D images of anatomical structures.

Metric distances can be used to quantify the notion of close and far on anatomical shapes as represented in images. This is achieved by computing ...

In this talk, I will present the problem of quantifying anatomical shape as represented in an image within the framework of the deformable template model.

This paper reviews literature, current concepts and approaches in computational anatomy (CA). The model of CA is a Grenander deformable template.

Computational Functional Anatomy (CFA) is the study of functional and physiological response variables in anatomical coordinates.

Dec 20, 2013 · One goal of Computational Anatomy is to develop quantitative tools to study the statistical variability of anatomical shapes and help the ...

Computational anatomy can be used to assign a metric space structure to 2D/3D images of anatomical structures. Other areas of application include the following:.