Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Source Code: Christian Wachinger

Structural Representation: Entropy Images

We propose a structural image representation and show its relevance for multi-modal image registration. Structural representation means that only the structures in the image matter and not the intensity values of their depiction. The representation is formulated as a dense descriptor. We specify three properties an optimal descriptor for structural registration has to fulfill: locality preservation, structural equivalence, and discrimination. The proposed entropy images are an approximation to such a representation. We improve their discriminative potential by integrating spatial information in the density estimation. We evaluate entropy images for rigid, deformable, and groupwise multi-modal image registration and achieve very good results in terms of both speed and accuracy. Finally, entropy images seamlessly integrate into existing registration frameworks and allow an efficient registration optimization.

C. Wachinger, N. Navab
Structural Image Representation for Image Registration
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, San Francisco, California, June 2010. Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA). (bib)

Download Entropy Images Code

To calculate entropy images, step through the cells of "exampleScript.m". The zip file contains a sample multi-modal images.

RF to B-mode Conversion

RF2B is a tool to easily convert RF to B-mode images. All steps of the pipeline can be nicely visualized.


Edit | Attach | Refresh | Diffs | More | Revision r1.10 - 10 Mar 2012 - 14:29 - ChristianWachinger

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