DocumentCode :
471927
Title :
Automated Masking of Voltage-Sensitive Dye Imaging Data
Author :
Phillips, Trevor P. ; Schmidt, Robyn ; Nygren, Anders
Author_Institution :
Schulich Sch. of Eng., Calgary Univ., Alta.
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
4035
Lastpage :
4038
Abstract :
This paper discusses the development of an algorithm to mask poor quality data in fluorescence videos of cardiac tissue stained with voltage-sensitive dye. The aim was to simplify further analysis by eliminating the step of manually masking areas of poor signal quality and areas outside the preparation of interest. Our algorithm estimates signal to noise ratio (SNR) from the power spectral density (PSD) for each pixel. This information is combined with information about the fluorescence intensity in each pixel, according to a user-selectable weighting factor. A threshold is then applied to the resulting combined measure. This approach resulted in an effective algorithm that is capable of automatically creating a "mask" that can be applied to the data to exclude parts of the data from further analysis. The algorithm is sufficiently efficient to allow interactive use, allowing the user to adjust the parameters of the algorithm and instantly view the resulting mask. This tool will be useful as a technique to simplify further analysis of voltage-sensitive dye imaging data
Keywords :
biological tissues; biomedical optical imaging; cardiology; data analysis; dyes; fluorescence; masks; automated masking; cardiac tissue stain; data analysis; fluorescence intensity; fluorescence videos; power spectral density; signal-to-noise ratio; user-selectable weighting factor; voltage-sensitive dye imaging; Background noise; Biomembranes; Data analysis; Fluorescence; Image analysis; Low-frequency noise; Mice; Signal to noise ratio; Videos; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260569
Filename :
4462685
Link To Document :
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