Additive fuzzy enhancement and an associative memory for feature tracking in radiation therapy images

H. R. Tizhoosh, G. Krell, B. Michaelis

Research output: Contribution to conferencePaperpeer-review

Abstract

Medical images in radiation therapy, especially electronic portal images, are often very poor in quality because of imaging physics. For a reliable patient set-up verification by tracking of relevant features, better in-treatment images are necessary. In this work, we present the prototype of an additive fuzzy system for a locally adaptive image enhancement and a modified associative memory for image restoration. Using a-priori knowledge and the advantages of this hybrid neural-fuzzy system, a much better quality for the in-treatment image can be achieved.

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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