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Proceedings Paper

Speckle Reduction Processing
Author(s): Steve M. Gehlbach; F. Graham Sommer
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Paper Abstract

Speckle is believed to be a significant degrading factor in ultrasonic images, and likely impairs the detectability of low contrast tumors and clinical scans. One method of reducing speckle, termed frequency diversity processing, uses multiple, narrow-band filters applied to the received RF signal. For this study, several images of targets from a contrast detail phantom were acquired and stored on floppy disks, by digitizing the RF from a mechanically translated transducer. Digital filtering techniques were used to process the images by breaking the RF spectrum into several overlapping bands. Each processed image was computed as both the incoherent and coherent average of the individual narrow-band images. The filters were designed with individually variable weights to broaden and whiten the original transducer spectrum. The resulting processed images showed a degradation of spatial resolution, but a significant increase in grey scale information, and a substantial improvement in the signal-to-noise ratio. The results indicate little difference between coherent and incoherent processing of the images.

Paper Details

Date Published: 10 September 1987
PDF: 7 pages
Proc. SPIE 0768, Pattern Recognition and Acoustical Imaging, (10 September 1987); doi: 10.1117/12.940265
Show Author Affiliations
Steve M. Gehlbach, Kesa Corporation (United States)
F. Graham Sommer, Stanford University School of Medicine (United States)


Published in SPIE Proceedings Vol. 0768:
Pattern Recognition and Acoustical Imaging
Leonard A. Ferrari, Editor(s)

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