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  • Original Paper
  • Open Access

Detection of point landmarks in 3D medical images via phase congruency model

  • Ricardo J. Ferrari1Email author,
  • Stéphane Allaire2,
  • Andrew Hope2,
  • John Kim2,
  • David Jaffray2 and
  • Vladimir Pekar3
Journal of the Brazilian Computer Society201117:32

Received: 16 September 2010

Accepted: 28 February 2011

Published: 19 March 2011


This paper presents a novel technique for detection of point landmarks in volumetric medical images based on a three-dimensional (3D) Phase Congruency (PC) model. A bank of 3D log-Gabor filters is specially designed in the frequency domain and used to compute 3D energy maps, which are further combined to form the phase congruency measure. The PC measure is invariant to intensity variations and contrast resolution and provides a good indication of feature significance in an image. To detect significant 3D point landmarks, eigen-analysis of a 3×3 matrix of second-order PC moments, computed for each point in the image, is performed followed by local maxima detection. Two different application scenarios in radiation therapy planning of the head and neck anatomy are used to illustrate the feasibility and usefulness of the proposed method.


Point landmarks3D hase congruency3D log-Gabor filtersWaveletsNonrigid registrationRadiation therapy