Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
d Original Contribution AUTOMATIC BONE LOCALIZATION AND FRACTURE DETECTION FROM
 

Summary: d Original Contribution
AUTOMATIC BONE LOCALIZATION AND FRACTURE DETECTION FROM
VOLUMETRIC ULTRASOUND IMAGES USING 3-D LOCAL PHASE FEATURES
ILKER HACIHALILOGLU,* RAFEEF ABUGHARBIEH,* ANTONY J. HODGSON,y
ROBERT N. ROHLING,*y
and PIERRE GUY
z
*Department of Electrical and Computer Engineering; y
Department of Mechanical Engineering; and z
Department of
Orthopaedics, University of British Columbia, Vancouver, BC, Canada
(Received 13 April 2011; revised 5 September 2011; in final form 13 October 2011)
Abstract--This article presents a novel method for bone segmentation from three-dimensional (3-D) ultrasound
images that derives intensity-invariant 3-D local image phase measures that are then employed for extracting
ridge-like features similar to those that occur at soft tissue/bone interfaces. The main contributions in this article
include: (1) the extension of our previously proposed phase-symmetry-based bone surface extraction from two-
dimensional (2-D) to 3-D images using 3-D Log-Gabor filters; (2) the design of a new framework for accuracy eval-
uation based on using computed tomography as a gold standard that allows the assessment of surface localization
accuracy across the entire 3-D surface; (3) the quantitative validation of accuracy of our 3-D phase-processing
approach on both intact and fractured bone surfaces using phantoms and ex vivo 3-D ultrasound scans; and (4)

  

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

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences