Evaluation of speckle reduction with denoising filtering in optical coherence tomography for dermatology
| Title | Evaluation of speckle reduction with denoising filtering in optical coherence tomography for dermatology |
| Publication Type | Conference Paper |
| Year of Publication | 2015 |
| Authors | Gómez-Valverde, J. J., Ortuño, J. E., Guerra, P., Hermann, B., Zabihian, B., Rubio-Guivernau, J. L., Santos, A., Drexler, W., Ledesma-Carbayo, M. J. |
| Conference Name | 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI) |
| Keywords | 2D denoising filters, 3D block matching, Adaptive optics, biomedical optical imaging, BM3D, contrast-to-noise ratios, denoising, dermatological OCT B-scans, dermatology, Digital filters, diseases, enhancement quality metrics, filtering theory, high edge-preserving potential, image denoising, image enhancement, image matching, medical image processing, OCT images, optical coherence tomography, Optical filters, Optical imaging, optical tomography, pubcrawl170111, sigma filter, signal-to-noise ratios, Skin, skin disease diagnosis, speckle, speckle noise, speckle reduction, Tomography, wavelet multiframe algorithm, wavelet transforms, wavelet-based compounding algorithm |
| Abstract | Optical Coherence Tomography (OCT) has shown a great potential as a complementary imaging tool in the diagnosis of skin diseases. Speckle noise is the most prominent artifact present in OCT images and could limit the interpretation and detection capabilities. In this work we evaluate various denoising filters with high edge-preserving potential for the reduction of speckle noise in 256 dermatological OCT B-scans. Our results show that the Enhanced Sigma Filter and the Block Matching 3-D (BM3D) as 2D denoising filters and the Wavelet Multiframe algorithm considering adjacent B-scans achieved the best results in terms of the enhancement quality metrics used. Our results suggest that a combination of 2D filtering followed by a wavelet based compounding algorithm may significantly reduce speckle, increasing signal-to-noise and contrast-to-noise ratios, without the need of extra acquisitions of the same frame. |
| DOI | 10.1109/ISBI.2015.7163919 |
| Citation Key | gomez-valverde_evaluation_2015 |
- Skin
- OCT images
- optical coherence tomography
- Optical filters
- Optical imaging
- optical tomography
- pubcrawl170111
- sigma filter
- signal-to-noise ratios
- medical image processing
- skin disease diagnosis
- speckle
- speckle noise
- speckle reduction
- Tomography
- wavelet multiframe algorithm
- wavelet transforms
- wavelet-based compounding algorithm
- Digital filters
- 3D block matching
- Adaptive optics
- biomedical optical imaging
- BM3D
- contrast-to-noise ratios
- denoising
- dermatological OCT B-scans
- dermatology
- 2D denoising filters
- diseases
- enhancement quality metrics
- filtering theory
- high edge-preserving potential
- image denoising
- image enhancement
- image matching