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Proceedings Paper

Enhancement of surgical tissue in visual noise
Author(s): Dariush Ebrahimi; Lorne Rotstein; Stanley J. Hamstra
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Paper Abstract

The purpose of this study was to characterize the natural statistics of surgical images as a first step in exploring the application of methods from vision science to the problem of tissue discrimination in surgery. Field has previously shown that natural images have a simple characteristic spatial structure, with amplitude spectra that decrease with frequency roughly as 1/f. Several subsequent studies have shown that amplitude is generally thought to be proportional to 1/fα where α has been found to be within a fairly narrow range (0.7 -1.5) for natural scenes. Four sets of surgical images were acquired for the current study and their spatial frequency content analyzed. The value of α for these images was found to be 1.59. The same measure for a set of 60 natural images from the Brodatz book of texture gave a value of 1.15. Consequently, we developed examples of image enhancement using a modified histogram equalization technique and a non-linear normalization transform. We conclude that surgical images lack high spatial frequency content, but it is feasible to enhance target structures.

Paper Details

Date Published: 12 May 2004
PDF: 5 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.535591
Show Author Affiliations
Dariush Ebrahimi, Univ. of Toronto (Canada)
Lorne Rotstein, Princess Margaret Hospital, Univ. Health Network (Canada)
Stanley J. Hamstra, Univ. of Toronto (Canada)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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