Adaptive Bias Field Correction: Application on Abdominal MR Images

GÖÇERİ E., Dura E., Esteve J. D., GÜNAY M.

6th ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing (VipIMAGE), Porto, Portekiz, 18 - 20 Ekim 2017, cilt.27, ss.102-110 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 27
  • Doi Numarası: 10.1007/978-3-319-68195-5_11
  • Basıldığı Şehir: Porto
  • Basıldığı Ülke: Portekiz
  • Sayfa Sayıları: ss.102-110
  • Anahtar Kelimeler: Bias correction, Energy minimization, Intensity normalization, Image segmentation, MR image, INTENSITY INHOMOGENEITY, SEGMENTATION, NONUNIFORMITY, INFORMATION
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Segmentation of medical images is one of the most important phases for disease diagnosis. Accuracy, robustness and stability of the results obtained by image segmentation is a major concern. Many segmentation methods rely on absolute values of intensity level, which are affected by a bias term due to in-homogeneous field in magnetic resonance images. The main objective of this paper is two folded: (1) To show efficiency of an energy minimization based approach, which uses intrinsic component optimization, on abdominal magnetic resonance images. (2) To propose an adaptive method to stop the optimization automatically. The proposed method can control the value of the energy functional and stops the iteration efficiently. Comparisons with two previous state-of-the art methods indicate a better performance of the proposed method.