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Generation of Curved Planar Reformations from Magnetic Resonance Images of the Spine

  • Tomaž Vrtovec
  • Sébastien Ourselin
  • Lavier Gomes
  • Boštjan Likar
  • Franjo Pernuš
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)

Abstract

We present a novel method for curved planar reformation (CPR) of spine images obtained by magnetic resonance (MR) imaging. CPR images, created via a transformation from image-based to spine-based coordinate system, follow the structural shape of the spine and allow the whole course of the curved structure to be viewed in a single image. The spine-based coordinate system is defined on the 3D spine curve and on the axial vertebral rotation, both described by polynomial models. The 3D spine curve passes through the centers of vertebral bodies, and the axial vertebral rotation determines the rotation of vertebral spinous processes around the spine. The optimal polynomial parameters are found in an optimization framework, based on image analysis. The method was evaluated on 19 MR images of the spine from 10 patients.

Keywords

Vertebral Body Idiopathic Scoliosis Ground Truth Data Spine Curve Spine Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tomaž Vrtovec
    • 1
    • 2
  • Sébastien Ourselin
    • 2
  • Lavier Gomes
    • 3
  • Boštjan Likar
    • 1
  • Franjo Pernuš
    • 1
  1. 1.Faculty of Electrical EngineeringUniversity of LjubljanaSlovenia
  2. 2.BioMedIA Lab, Autonomous Systems LaboratoryCSIRO ICT CentreAustralia
  3. 3.Department of Radiology, Westmead HospitalUniversity of SydneyAustralia

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