Logarithmic intensity and speckle-based motion contrast methods for human retinal vasculature visualization using swept source optical coherence tomography
- Creators
- Motaghiannezam, Reza
- Fraser, Scott
Abstract
We formulate a theory to show that the statistics of OCT signal amplitude and intensity are highly dependent on the sample reflectivity strength, motion, and noise power. Our theoretical and experimental results depict the lack of speckle amplitude and intensity contrasts to differentiate regions of motion from static areas. Two logarithmic intensity-based contrasts, logarithmic intensity variance (LOGIV) and differential logarithmic intensity variance (DLOGIV), are proposed for serving as surrogate markers for motion with enhanced sensitivity. Our findings demonstrate a good agreement between the theoretical and experimental results for logarithmic intensity-based contrasts. Logarithmic intensity-based motion and speckle-based contrast methods are validated and compared for in vivo human retinal vasculature visualization using high-speed swept-source optical coherence tomography (SS-OCT) at 1060 nm. The vasculature was identified as regions of motion by creating LOGIV and DLOGIV tomograms: multiple B-scans were collected of individual slices through the retina and the variance of logarithmic intensities and differences of logarithmic intensities were calculated. Both methods captured the small vessels and the meshwork of capillaries associated with the inner retina in en face images over 4 mm^2 in a normal subject.
Additional Information
© 2012 Optical Society of America. Received 1 Dec 2011; revised 31 Jan 2012; accepted 3 Feb 2012; published 10 Feb 2012. This work was supported in part by research from the California Institute for Regenerative Medicine (CIRM). The authors thank Carl Zeiss Meditec for providing the patient interface part of their Stratus OCT system.Attached Files
Published - Motaghiannezam2012p18021Biomed_Opt_Express.pdf
Files
Name | Size | Download all |
---|---|---|
md5:c79c5579c6a8f07fdad5d75799e74b71
|
18.8 MB | Preview Download |
Additional details
- Eprint ID
- 31306
- Resolver ID
- CaltechAUTHORS:20120504-111723349
- California Institute for Regenerative Medicine (CIRM)
- Created
-
2012-05-08Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field