Tree Representation and Implicit Tree Matching for a Coarse to Fine Image Matching Algorithm
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Proceedings of the 23rd DAGM-Symposium on Pattern Recognition
Non-rigid registration of 3d multi-channel microscopy images of cell nuclei
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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The aim of this paper is to present new tools for visualization and quantification in dynamic processes. We concentrate on the concise description of local quantitative values and on a easy-to-apprehend way to visualize them. Our approach is based on registration in order to obtain a transformation for the whole image space. This transformation permits us to obtain local values such as bending or velocity in each pixel. We define a density function using this values and apply confinement tree analysis on them. We present an application in cell biology where we can obtain new insight into the elasticity properties of the nuclear lamina.