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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Rui Sun Zhuoxin Zhang Cishen |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore (Li Rui; Sun Zhuoxin) || Sch. of Chem. & Biomed. Eng., Nanyang Technol. Univ., Singapore (Zhang Cishen) |
| Abstract | Current medical ultrasound imaging suffers from grainy type speckles, which highly degrade the image details and hence reduce the diagnosis information contained in the images. Various filtering techniques for speckle reduction were previously proposed, including the standard median and Wiener filters. However, their performances are still limited in the sense that either speckles are not fully suppressed or edges and point features are not well preserved. In this paper, we first discuss about the statistical Nakagami distribution and analytical multiplicative noise models of speckles in ultrasound images, and then we propose an adaptive filter, named as Nakagami multiplicative adaptive filter (NaMAF), based on these models for effective speckle reduction and feature preservation. Performances of the proposed adaptive filter are compared with that of standard speckle reduction filters, showing that the proposed NaMAF performs best in terms of best visual effect and largest signal-to-noise ratio (SNR) when tested on phantom and in vivo images and least mean-square error (MSE) when tested on simulated images. |
| Starting Page | 1787 |
| Ending Page | 1792 |
| File Size | 505205 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424422869 |
| DOI | 10.1109/ICARCV.2008.4795799 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-17 |
| Publisher Place | Vietnam |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive filters Speckle Biomedical imaging Ultrasonic imaging Medical diagnostic imaging Wiener filter Nakagami distribution Performance evaluation Testing Degradation adaptive filter speckle ultrasound imaging multiplicative noise |
| Content Type | Text |
| Resource Type | Article |
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