Multidimensional AM-FM models and methods for biomedical image computing

This paper provides an overview of multidimensional AM-FM methods for analyzing medical images and videos. Over the last decade, several new AM-FM demodulation methods have been developed. We provide a discussion of what many of these methods share in common, and give some details on recent, Hilbert-based approaches. Medical image applications range from medical image segmentation, resolution enhancement, classification, reconstruction to new methods for video motion estimation. A brief summary of suggestions for future work in this area is also given.