Total variation based 3D skull segmentation Toplam Degisim Tabanli 3B Kafatasi Bölütleme

Atasoy F., Şen B., Nar F., Özcan C., Bozkurt I.

24th Signal Processing and Communication Application Conference, SIU 2016, Zonguldak, Turkey, 16 - 19 May 2016, pp.1353-1356 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2016.7495999
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1353-1356
  • Ankara Yıldırım Beyazıt University Affiliated: Yes

Abstract

Segmentation is widely used for determining tumor and other lesions and classifying tissues for various analysis purposes in medical images. However, being an illposed problem, there is no single segmentation method which can perform successfully for all kind of data. In this study, a novel total variation (TV) based skull segmentation method is proposed. Skull segmentation performance of the proposed method is shown using computed tomography (CT) images.