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A robust generalized fuzzy operator approach to film contrast correction in digital subtraction radiography

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Abstract

Digital subtraction radiography requires close matching of the contrast in each pair of X-ray images to be subtracted. Previous studies have shown that nonparametric contrast/brightness correction methods using the cumulative density function (CDF) and its improvements, which are based on gray-level transformation associated with the pixel histogram, perform well in uniform contrast/brightness difference conditions. However, for radiographs with nonuniform contrast/brightness, the CDF produces unsatisfactory results. In this paper, we propose a new approach in contrast correction based on the generalized fuzzy operator with least square method. The result shows that 50% of the contrast/brightness errors can be corrected using this approach when the contrast/brightness difference between a radiographic pair is 10 U. A comparison of our approach with that of CDF is presented, and this modified GFO method produces better contrast normalization results than the CDF approach.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, People’s Republic of China

    Chung-Chu Leung

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  1. Chung-Chu Leung
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Correspondence to Chung-Chu Leung.

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Leung, CC. A robust generalized fuzzy operator approach to film contrast correction in digital subtraction radiography. Med Bio Eng Comput 44, 95–104 (2006). https://doi.org/10.1007/s11517-005-0013-1

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  • DOI: https://doi.org/10.1007/s11517-005-0013-1

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