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https://hdl.handle.net/20.500.14279/23658| Title: | Speckle reduction in ultrasonic imaging for medical applications | Authors: | Greiner, T. Loizou, Christos P. Pandit, Madhukar Mauruschat, J. Albert, F.W. |
Major Field of Science: | Engineering and Technology | Field Category: | Medical Engineering | Keywords: | Ultrasonic imaging;Signal processing algorithms;Filtering and prediction theory;Speckle;Biomedical equipment;Digital filters | Issue Date: | Apr-1991 | Source: | International Conference on Acoustics, Speech, and Signal Processing, 1991, 14-17 April, Toronto, ON, Canada | Start page: | 2993 | End page: | 2996 | Conference: | International Conference on Acoustics, Speech, and Signal Processing | URI: | https://hdl.handle.net/20.500.14279/23658 | ISBN: | 0-7803-0003-3 | DOI: | 10.1109/ICASSP.1991.151032 | Rights: | © IEEE | Type: | Conference Papers | Affiliation : | University of Kaiserslautern Hospital of Kaiserslautern |
Funding: | The application of SAR speckle reduction filters for the purpose of ultrasonic imaging is introduced. A new adaptive filter is proposed which yields a significant improvement of sharpness in edge areas and better smoothing in homogeneous regions. The new filter incorporates high statistical moments which are weighted by their normalized local entropy determined by a moment window around the central pixel. Furthermore, a recursive version, which is algorithmically more efficient, is suggested. The results are illustrated by applying the filter to noise-corrupted artificial edge areas and ultrasonic agar phantoms. As a practical application the diagnosis of immune rejections in transplanted kidneys is demonstrated. | Publication Type: | Peer Reviewed |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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