A comparison of algorithms for tracking sub-pixel speckle motion

Author

Geiman, B. ; Bohs, L. ; Anderson, M. ; Breit, S. ; Trahey, G.

Author_Institution

Dept. of Biomed. Eng., Duke Univ., Durham, NC, USA

Volume

2

fYear

1997

fDate

5-8 Oct 1997

Firstpage

1239

Abstract

We have previously described Ensemble Tracking, a speckle tracking method that uses parallel receive processing and 2D pattern matching to generate a vector velocity map with high spatial and temporal resolution. Due to the mismatch in axial and lateral spatial frequencies of speckle and limited lateral sampling, Ensemble Tracking requires lateral interpolation to improve lateral velocity resolution. In this paper, we compare three interpolation algorithms for measuring lateral sub-pixel speckle motion: Cubic Spline, Parabolic Fit, and Grid Slopes. Simulation results show that Grid Slopes performs better than Cubic Spline and Parabolic Fit, and is accurate over a wider range of speckle translations

Keywords

acoustic signal processing; biomedical ultrasonics; interpolation; medical signal processing; speckle; splines (mathematics); tracking; Cubic Spline; Grid Slopes; Parabolic Fit; interpolation algorithms; lateral sub-pixel speckle motion; speckle translations; sub-pixel speckle motion tracking; Biomedical measurements; Frequency; Interpolation; Motion measurement; Pattern matching; Spatial resolution; Speckle; Spline; Tracking; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultrasonics Symposium, 1997. Proceedings., 1997 IEEE

Conference_Location

Toronto, Ont.

ISSN

1051-0117

Print_ISBN

0-7803-4153-8

Type

conf

DOI

10.1109/ULTSYM.1997.661802

Filename

661802