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Proceedings Paper

Evaluation of rotational kernel transformation technique for enhancement of coronary optical coherence tomography images
Author(s): Jadwiga Rogowska; Mark E. Brezinski
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Paper Abstract

During the last few years, OCT has demonstrated considerable promise as a method of high-resolution intravascular imaging. The goal of this study was to apply and to test the applicability of the rotating kernel transformation (RKT) technique to the speckle reduction and enhancement of OCT images. The technique is locally adaptive. It is based on sequential application of directional masks and selection of the maximum of all outputs. This method enhances the image features by emphasizing thin edges while suppressing a noisy background. Qualitatively, the RKT algorithm provides noticeable improvement over the original image. All processed images are smoother and have better-defined borders of media, intima, and plaque. The quantitative evaluation of RKT performance showed that in terms of average contrast-to-noise ratio, there is a significant improvement in image quality between original and enhanced images. The RKT image enhancement technique shows great promise in improving OCT images for superior boundary identification.

Paper Details

Date Published: 16 November 2000
PDF: 10 pages
Proc. SPIE 4123, Image Reconstruction from Incomplete Data, (16 November 2000); doi: 10.1117/12.409281
Show Author Affiliations
Jadwiga Rogowska, Brigham and Women's Hospital (USA) and Harvard Medical School (United States)
Mark E. Brezinski, Brigham and Women's Hospital (USA) and Harvard Medical School (United States)

Published in SPIE Proceedings Vol. 4123:
Image Reconstruction from Incomplete Data
Michael A. Fiddy; Rick P. Millane, Editor(s)

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