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.
Pattichis
M S
MS
Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, USA. pattichis@ece.unm.edu
D000465:Algorithms; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity