Recent multiscale AM-FM methods in emerging applications in medical imaging

By Víctor Murray, Marios S. Pattichis, E. Barriga, Peter Soliz. 2012

25 citations recorded by the source corpus.

Amplitude-modulation frequency-modulation (AM-FM) decompositions represent images using spatially-varying sinusoidal waves and their spatially-varying amplitudes. AM-FM decompositions use different scales and bandpass filters to extract the wide range of instantaneous frequencies and instantaneous amplitude components that may be present in an image. In the past few years, as the understanding of its theory advanced, AM-FM decompositions have been applied in a series of medical imaging problems ranging from ultrasound to retinal image analysis, yielding excellent results. This article summarizes the theory of AM-FM decompositions and related medical imaging applications.

Subfields: Computer Vision and Pattern Recognition, Media Technology

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Citations in the corpus

What do we need to build explainable AI systems for the medical domain? (2017, methodology): “, 2012) and are a hot topic, and in a combined effort can be very beneficial for context understanding; a summary of several medical applications of novel multi-scale AM-FM methods can be found in our recently published survey (Murray et al., 2012).”
The Monogenic Synchrosqueezed Wavelet Transform: A tool for the Decomposition/Demodulation of AM-FM images (2012, background): “To solve this problem, practitioners usually assume that the first component of the instantaneous frequency is positive (see [10] and references therein for more details).”