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D. Metaxas et al. (Eds.): MICCAI 2008, Part I, LNCS 5241, pp. 287295, 2008. Springer-Verlag Berlin Heidelberg 2008
 

Summary: D. Metaxas et al. (Eds.): MICCAI 2008, Part I, LNCS 5241, pp. 287295, 2008.
Springer-Verlag Berlin Heidelberg 2008
Bone Segmentation and Fracture Detection in Ultrasound
Using 3D Local Phase Features
Ilker Hacihaliloglu1
, Rafeef Abugharbieh1
, Antony Hodgson2
, and Robert Rohling1,2
1
Department of Electrical and Computer Engineering
2
Department of Mechanical Engineering, University of British Columbia,
Vancouver, BC, Canada
ilkerh@ece.ubc.ca, rafeef@ece.ubc.ca, ahodgson@mech.ubc.ca,
rohling@ece.ubc.ca
Abstract. 3D ultrasound (US) is increasingly considered as a viable alternative
imaging modality in computer-assisted orthopaedic surgery (CAOS) applica-
tions. Automatic bone segmentation from US images, however, remains a
challenge due to speckle noise and various other artifacts inherent to US. In this
paper, we present intensity invariant three dimensional (3D) local image phase

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences