Journal article
Speckle reduction in ultrasonic images through a maximum likelihood based adaptive filter
Physics in medicine & biology, v 51(21), pp 5591-5602
07 Nov 2006
PMID: 17047272
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Speckle poses serious problems in the interpretation of ultrasound images. It reduces contrast and resolution, making it difficult to identify the presence of abnormalities in B mode images. Using a recently proposed compound probability density function (pdf) for the statistics of the backscattered ultrasonic signals, an adaptive filter for speckle reduction is implemented and tested on B mode images of a tissue mimicking phantom. Results suggest that the adaptive filter based on a maximum likelihood approach improves the ability to classify targets in images while retaining the details in the original unprocessed image.
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Details
- Title
- Speckle reduction in ultrasonic images through a maximum likelihood based adaptive filter
- Creators
- P M Shankar - Department of Electrical and Computer Engineering, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA. pshankar@coe.drexel.edu
- Publication Details
- Physics in medicine & biology, v 51(21), pp 5591-5602
- Publisher
- Institute of Physics (IOP); England
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000242528800014
- Scopus ID
- 2-s2.0-33751189137
- Other Identifier
- 991014878310604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Biomedical
- Radiology, Nuclear Medicine & Medical Imaging