Speckle Spot Detection in Ultrasound Images: Application to Speckle Reduction and Speckle Tracking
From LRDE
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- Authors
- Nicolas Widynski, Thierry Géraud, Damien Garcia
- Where
- Proceedings of the IEEE International Ultrasonics Symposium (IUS)
- Place
- Chicago, IL, USA
- Type
- inproceedings
- Keywords
- Image
- Date
- 2014-09-10
Abstract
This paper investigates the speckle spot detection task in ultrasound images. Speckle spots are described by structural criteria: dimensions, shape, and topology. We propose to represent the image using a morphological inclusion tree, from which speckle spots are detected using their structural appearance. This makes the method independent of contrast, and hence robusts to intensity correction. The detection was applied to speckle reduction and speckle tracking, and experiments showed that this approach performs well compared to state-of-the-art methods.
Documents
Bibtex (lrde.bib)
@InProceedings{ widynski.14.ius, author = {Nicolas Widynski and Thierry G\'eraud and Damien Garcia}, title = {Speckle Spot Detection in Ultrasound Images: Application to Speckle Reduction and Speckle Tracking}, booktitle = {Proceedings of the IEEE International Ultrasonics Symposium (IUS)}, year = {2014}, pages = {1734--1737}, address = {Chicago, IL, USA}, abstract = {This paper investigates the speckle spot detection task in ultrasound images. Speckle spots are described by structural criteria: dimensions, shape, and topology. We propose to represent the image using a morphological inclusion tree, from which speckle spots are detected using their structural appearance. This makes the method independent of contrast, and hence robusts to intensity correction. The detection was applied to speckle reduction and speckle tracking, and experiments showed that this approach performs well compared to state-of-the-art methods.}, doi = {10.1109/ULTSYM.2014.0430} }