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

Volume

53

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

767

Lastpage

770

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;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2006.870195

Filename

1608530