|
Descripción
|
|
|---|---|
| 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 Bscans. 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. | |
|
Internacional
|
Si |
|
Nombre congreso
|
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015) |
|
Tipo de participación
|
960 |
|
Lugar del congreso
|
Brooklyn (NY, USA). |
|
Revisores
|
Si |
|
ISBN o ISSN
|
978-1-4799-2375-5 |
|
DOI
|
10.1109/ISBI.2015.7163919 |
|
Fecha inicio congreso
|
16/04/2015 |
|
Fecha fin congreso
|
19/04/2015 |
|
Desde la página
|
494 |
|
Hasta la página
|
497 |
|
Título de las actas
|
Evaluation of Speckle Reduction with Denoising Filtering in Optical Coherence Tomography for Dermatology |