Journal
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume 19, Issue 12, Pages 1261-1266Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/42.897820
Keywords
coronary plaque; image speckle; optical coherence tomography; rotating kernel transformation technique
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Funding
- NHLBI NIH HHS [NIH-1-R29-HL55686-01A1, 1 R01 HL63953-01] Funding Source: Medline
- NIAMS NIH HHS [NIH-RO1-AR44812-01] Funding Source: Medline
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During the last few years, optical coherence tomography (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.
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