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Τίτλος: Speckle reduction in ultrasonic imaging for medical applications
Συγγραφείς: Greiner, T. 
Loizou, Christos P. 
Pandit, Madhukar 
Mauruschat, J. 
Albert, F.W. 
Major Field of Science: Engineering and Technology
Field Category: Medical Engineering
Λέξεις-κλειδιά: Ultrasonic imaging;Signal processing algorithms;Filtering and prediction theory;Speckle;Biomedical equipment;Digital filters
Ημερομηνία Έκδοσης: Απρ-1991
Πηγή: 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
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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