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ROBERTO PIRRONE

Segmentation of MR brain images with bias artifact

  • Autori: Ardizzone, E.; Pirrone, R.; Gambino, O.; Alagna, F.
  • Anno di pubblicazione: 2010
  • Tipologia: roceedings (TIPOLOGIA NON ATTIVA)

Abstract

Brain MR Images corrupted by RF- Inhomogeneity (bias artifact) exhibit brightness variations across the image. As a consequence, a standard Fuzzy C-Means (fern) segmentation algorithm may fail. In this work we show a new general-purpose bias removing algorithm, which can be used as a pre-processing step for a fern segmentation. We also compare our experimental results with the ones achieved by using E2 D - H U M filter, showing an improvement in brain segmentation and bias removal.

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