Automated Estimation Of Lesion Size

Urs E. Ruttimann; Richard L. Webber; Roelf A. J. Groenhuis; Emanuel Troullos; Michael T. Rethman

doi:10.1117/12.947277

11 June 1985 Automated Estimation Of Lesion Size

Urs E. Ruttimann, Richard L. Webber, Roelf A. J. Groenhuis, Emanuel Troullos, Michael T. Rethman

Proceedings Volume 0535, Application of Optical Instrumentation in Medicine XIII; (1985) https://doi.org/10.1117/12.947277
Event: 1985 Medical Imaging Conferences, 1985, California, United States

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.

Citation Download Citation

Urs E. Ruttimann, Richard L. Webber, Roelf A. J. Groenhuis, Emanuel Troullos, and Michael T. Rethman "Automated Estimation Of Lesion Size", Proc. SPIE 0535, Application of Optical Instrumentation in Medicine XIII, (11 June 1985); https://doi.org/10.1117/12.947277

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