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Finding CLS Using Multiresolution Oriented Local Energy Feature Detection

  • Veit U. B. Schenk
  • Michael Brady
Conference paper

Abstract

In this paper, we present a novel technique for the detection of the curvilinear structures (CLS) in a mammogram based on a multiresolution, oriented local energy analysis. Local energy enables the detection not only of linear structures; but also features of several different kinds in a unified framework. It is possible to distinguish between such feature types using the local phase. In a separate post-processing stage, the behaviour of energy over multiple scales can be used to determine a) whether a response is due to a feature or to noise and b) to estimate at each location the local width of a CLS. Orientation information computed from steerable filters is used in the same post-processing stage to distinguish between curvilinear structures and speck-like responses such as microcalcifications which, on a micro-scale, resemble CLS. By combining scale, phase and orientation information we can distinguish the CLS from non-CLS locally linear features as well as localised structures with high gradients and thus remove only the CLS whilst leaving the remaining important image information intact.

Keywords

Mammographic Density Local Energy Orientation Information Central Ridge Local Width 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Veit U. B. Schenk
    • 1
  • Michael Brady
    • 1
  1. 1.Medical Vision Laboratory, Dept. of Engineering ScienceOxford UniversityOxfordUK

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