Novel Quantitative Method for Spleen's Morphometry in Splenomegally

Authors:
Tomasz Sołtysiński
Affiliations:
Institute of Precision and Biomedical Engineering, Department of Mechatronics, Warsaw University of Technology, Warsaw, Poland 02-525
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

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Abstract

Novel method for spleen's semiautomatic accurate quantitative morphometry adaptable in diagnosis of splenomegally is described. The method is based on multiscale wavelet image decomposition, Bayesian inference that reveals the most probable structure delineation in the image and spectral method to smooth and approximate the most probable representation of a real contour hidden in a noisy or fuzzy data.