Geometry-Driven-Diffusion Filtering of MR Brain Images using Dissimilarities and Optimal Relaxation Parameter

  • Ivan Bajla (Author)
  • Igor Holländer (Author)

Activity: Talk or presentation / Lecture › Presentation at a scientific conference / workshop

Description

A novel method of local adapting of the conductance using a pixel dissimilarity measure is developed. An alternative processing methodology is proposed, which is based on intensity gradient histogram calculated for region interiors and boundaries of a phantom which models real MR brain scans. It involves a specific sot function suitable for the calculation of the optimum relaxation parameter Kopt and for the selection of the optimal exponential conductance. Computer experiments for locally adaptive geometry-driven-diffusion filtering of an MR brain phantom have benn performed and evaluated.
Period14 Jun 1998 → 17 Jun 1998
Event titleVIII Mediterranean Conference on Medical and Biological Engineering and Computing - Medicon '98
Event typeOther
Degree of RecognitionInternational

Research Field

  • Not defined