Biomedical Image Analysis: Education & Applications with Mathematica

Bart M. ter Haar Romeny and  Markus A. van Almsick

Technische Universiteit Eindhoven

Abstract

We report on 2.5 years of successfully using Mathematica as a high-level, rapid prototyping tool in  education and research of biomedical image analysis.

Students in biomedical engineering performed three-month (4th year) and nine-month (5th year) projects on a wide range of real applications for medical images. Examples include image registration, edge-preserving smoothing, 2D and 3D shape variability analysis, deblurring, 3D visualization, dense optic flow extraction of heart motion, and active shape models. The talk will be richly illustrated.