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Proceedings Paper

Automated Estimation Of Lesion Size
Author(s): Urs E. Ruttimann; Richard L. Webber; Roelf A. J. Groenhuis; Emanuel Troullos; Michael T. Rethman
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Paper Abstract

Two methods were studied of estimating automatically the relative volume of local lesions in digital subtractions radiographs. The first method approximates the projected, lesion area by an equivalent circular area, and the second by an equivalent polygonal area. Lesion volume is estimated in both methods as equivalent area times the average gray-level difference between the detected area and the surrounding background. Regression results of the estimated relative volume versus the calibrated size of lesions induced in dry human mandibles showed the polygonal approximation to be superior. This method also permitted successful monitoring of bone remodelling during the healing process of surgically induced lesions in dogs. The quantitative results, as well as the examples from in vivo lesions demonstrate feasibility and clinically relavance of the methodology.

Paper Details

Date Published: 11 June 1985
PDF: 7 pages
Proc. SPIE 0535, Application of Optical Instrumentation in Medicine XIII, (11 June 1985); doi: 10.1117/12.947277
Show Author Affiliations
Urs E. Ruttimann, National Institutes of Health (United States)
Richard L. Webber, National Institutes of Health (United States)
Roelf A. J. Groenhuis, National Institutes of Health (United States)
Emanuel Troullos, National Institutes of Health (United States)
Michael T. Rethman, US Army Dental Activity (United States)

Published in SPIE Proceedings Vol. 0535:
Application of Optical Instrumentation in Medicine XIII
Samuel J. Dwyer III; Roger H. Schneider, Editor(s)

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