Fuzzy C-Means Segmentation on Brain MR Slices Corrupted by RF-Inhomogeneity

Risultato della ricerca: Otherpeer review

12 Citazioni (Scopus)

Abstract

Brain MR Images corrupted by RF-Inhomogeneity exhibit brightness variations in such a way that a standard Fuzzy C-Means (fcm) segmentation algorithm fails. As a consequence, modified versions of the algorithm can be found in literature, which take into account the artifact. In this work we show that the application of a suitable pre-processing algorithm, already presented by the authors, followed by a standard fcm segmentation achieves good results also. The experimental results ones are compared with those obtained using SPM5, which can be considered the state of the art algorithm oriented to brain segmentation and bias removal.
Lingua originaleEnglish
Pagine378-384
Numero di pagine7
Stato di pubblicazionePublished - 2007

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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