Abstract
A new algorithm for speckle tracking is introduced. The algorithm is based on 2D correlation processing of beamformed radio frequency (RF) data from a medical imaging scanner employing a linear array of transducers. However, it is based on two powerful features for mask size design and for optimizing search direction for efficient implementation. An eigenvalue decomposition of a local intraframe spatial correlation matrix is used to determine the mask size. In addition, the search direction is detrmined from the 2D gradiant of the phase profiles of an interframe spatial correlation matrix. The result is a robust and computationally efficient speckle tracking algorithm suitable for medical imaging applications. A description of the new algorithm is given in this paper along with illustrative examples from image sequences obtained from tissue mimicking phantoms and in vivo liver images from a healthy volunteer.
Original language | English (US) |
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Title of host publication | Image and Multidimensional Signal ProcessingMultimedia Signal Processing |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 2075-2078 |
Number of pages | 4 |
ISBN (Electronic) | 0780362934 |
DOIs | |
State | Published - 2000 |
Event | 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 - Istanbul, Turkey Duration: Jun 5 2000 → Jun 9 2000 |
Publication series
Name | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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Volume | 4 |
ISSN (Print) | 1520-6149 |
Other
Other | 25th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2000 |
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Country/Territory | Turkey |
City | Istanbul |
Period | 6/5/00 → 6/9/00 |
Bibliographical note
Publisher Copyright:© 2000 IEEE.