Title :
Using recurrence quantification analysis determinism for noise removal in cardiac optical mapping
Author :
Furman, Michael D. ; Simonotto, Jennifer D. ; Beaver, Thomas M. ; Spano, Mark L. ; Ditto, William L.
Author_Institution :
Dept. of Biomed. Eng., Univ. of Florida, Gainesville, FL, USA
fDate :
4/1/2006 12:00:00 AM
Abstract :
Selecting signal processing parameters in optical imaging by utilizing the change in Determinism, a measure introduced in Recurrence Quantification Analysis, provides a novel method using the change in residual noise Determinism for improving noise quantification and removal across signals exhibiting disparate underlying tissue pathologies. The method illustrates an improved process for selecting filtering parameters and how using measured signal-to-noise ratio alone can lead to improper parameter selection.
Keywords :
biological tissues; biomedical optical imaging; cardiology; image denoising; medical image processing; cardiac optical mapping; filtering parameters; noise removal; optical imaging; recurrence quantification analysis determinism; signal processing parameters; signal-to-noise ration; tissue pathologies; Filtering; Image analysis; Noise measurement; Optical filters; Optical imaging; Optical noise; Optical signal processing; Pathology; Signal analysis; Signal processing; Determinism; Recurrence Quantification Analysis; noise; noise reduction; optical mapping; signal-to-noise ratio; standard median filter; Algorithms; Animals; Body Surface Potential Mapping; Computer Simulation; Heart Conduction System; Image Enhancement; Microscopy, Fluorescence; Models, Cardiovascular; Models, Statistical; Stochastic Processes; Swine;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.870195