Wavelet transform for cross correlation processing in PW ultrasound

Xiao Liang Xu, James F. Greenleaf

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

This paper addresses applying the wavelet transform to cross correlation (CC) processing in pulsed-wave (PW) ultrasound for measurement of tissue motion and the velocity profile of blood flow. Cross correlation processing, has certain advantages over the Doppler method in performance, but its performance is sensitive to window size and noise. We describe how CC processing can be done with the wavelet transform. We discuss that because the wavelet transform has a unique of feature of varying time-frequency resolution, cross correlation processing in the wavelet domain is more robust with window size and less sensitive to noise.

Original languageEnglish (US)
Pages (from-to)1224-1225
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume16
Issue numberpt 2
StatePublished - Dec 1 1994
EventProceedings of the 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 1 (of 2) - Baltimore, MD, USA
Duration: Nov 3 1994Nov 6 1994

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ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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