title: Acetabular cartilage segmentation in CT arthrography based on a bone-normalized probabilistic atlas.
abstract: OBJECTIVE
  Determination of acetabular cartilage loss in the hip joint is a clinically significant metric that requires image segmentation. A new semiautomatic method to segment acetabular cartilage in computed tomography (CT) arthrography scans was developed and tested.
  
  
  METHODS
  A semiautomatic segmentation method was developed based on the combination of anatomical and statistical information. Anatomical information is identified using the pelvic bone position and the contact area between cartilage and bone. Statistical information is acquired from CT intensity modeling of acetabular cartilage and adjacent tissue structures. This method was applied to the identification of acetabular cartilages in 37 intra-articular CT arthrography scans.
  
  
  RESULTS
  The semiautomatic anatomical-statistical method performed better than other segmentation methods. The semiautomatic method was effective in noisy scans and was able to detect damaged cartilage.
  
  
  CONCLUSIONS
  The new semiautomatic method segments acetabular cartilage by fully utilizing the statistical and anatomical information in CT arthrography datasets. This method for hip joint cartilage segmentation has potential for use in many clinical applications.
authors: Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran, proshani@ut.ac.ir.
authors: Pooneh R
authors: PR
authors: Tabrizi
authors: Reza A
authors: RA
authors: Zoroofi
authors: Futoshi
authors: F
authors: Yokota
authors: Satoru
authors: S
authors: Tamura
authors: Takashi
authors: T
authors: Nishii
authors: Yoshinobu
authors: Y
authors: Sato
mesh_terms: D000328:Adult; D001175:Arthrography / Q000379:methods*; D002358:Cartilage, Articular / Q000000981:diagnostic imaging*; D005260:Female; D006621:Hip Joint / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D014057:Tomography, X-Ray Computed / Q000379:methods*; D055815:Young Adult