Multidimensional AM-FM models and methods for biomedical image computing

Author

Pattichis, M.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM, USA

fYear

2009

fDate

3-6 Sept. 2009

Firstpage

5641

Lastpage

5644

Abstract

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.

Keywords

amplitude modulation; frequency modulation; image classification; image enhancement; image reconstruction; image resolution; image segmentation; medical image processing; motion estimation; video signal processing; AM-FM demodulation method; Hilbert-based approach; biomedical image computing; image classification; image reconstruction; medical image segmentation; multidimensional AM-FM model; resolution enhancement; video motion estimation; Algorithms; Computer Simulation; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Biological; Reproducibility of Results; Sensitivity and Specificity;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE

Conference_Location

Minneapolis, MN

ISSN

1557-170X

Print_ISBN

978-1-4244-3296-7

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2009.5333763

Filename

5333763