Application of wavelet analysis in optical coherence

Entities Mentioned

• University of Otago
• Proespichaya Kanatharana
• Panote Thavarungkul
• Chittanon Buranachai
• Igor V. Meglinski
• Prince of Songkla University

1. 

   Feature Of The Week 11/08/09: Optical Coherence Tomography (OCT) is modern optical diagnostic technique, which is well suited for non-invasive imaging of the interior structures of dense media from a range of composite materials to biological tissues. Since OCT is known for being able to reject multiple scattering, it has been used successfully to image low scattering samples such as retina to considerably scattering samples such as biological tissues and synthetic scaffolds. However, with some highly scattering samples OCT struggles to cope with multiple scattering resulting in a rather poor quality of images.

   In order to improve the signal to noise ratio in the OCT signal taken from very highly scattering samples, Chittanon Buranachai, Panote Thavarungkul, Proespichaya Kanatharana from Prince of Songkla University, Thailand and Igor Meglinski from the University of Otago, New Zealand applied the well known image processing technique of Wavelet analysis to remove the noise from scattering light in ordinary OCT images taken from printed pattern covered with highly light scattering correction tape. The idea of decomposing an image into different scale enables the authors to separate the unwanted high spatial frequency components from the low spatial frequency parts containing feature of interest in OCT image. The method works entirely on the acquired OCT data and there is no need to adjust the instrument setup. A great improvement has been shown in the paper and the technique can be easily applied to ordinary OCT images.

   For more information see recent Article. Courtesy Chittanon Buranachai. For better viewing click "Full Screen".

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