First-order speckle statistics of ultrasound breast images synthesized from a computational anatomy model

Authors

  • Yi-Ting Shen Depts. of Electrical and Computer Engineering, University of Western Ontario, 279 Thompson Engineering Building, London, Ont. N6A 5B9, Canada
  • James C. Lacefield Depts. of Electrical and Computer Engineering, University of Western Ontario, 279 Thompson Engineering Building, London, Ont. N6A 5B9, Canada

Keywords:

Biological organs, Image analysis, Imaging systems, Medical imaging, Rayleigh scattering, Signal to noise ratio, Speckle, Statistical methods, Aberration correction, Computational anatomy model, Rayleigh-distributed speckle, Regions of interest (ROI)

Abstract

A three-dimensional breast anatomy model and image synthesis were implemented for future use in numerical studies of aberration correction and lesion detection in ultrasound imaging. A two-dimensional cross-section with 0.015 mm sample spacing was extracted from the anatomy model and input to a k-space ultrasound propagation simulator. Each image was partitioned in sixteen 2.0 × 4.5 mm2 regions of interest (ROI). It was found that the point signal to noise (SNR) ratio of the breast model was 1.50 ± 0.30 and was significantly less than the theoretical value of 1.91 for Rayleigh-distributed speckle.

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Published

2005-09-01

How to Cite

1.
Shen Y-T, Lacefield JC. First-order speckle statistics of ultrasound breast images synthesized from a computational anatomy model. Canadian Acoustics [Internet]. 2005 Sep. 1 [cited 2022 Oct. 3];33(3):86-7. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1757

Issue

Section

Proceedings of the Acoustics Week in Canada