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Articulated Model Registration of MRI/X-Ray Spine Data

  • Rola Harmouche
  • Farida Cheriet
  • Hubert Labelle
  • Jean Dansereau
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6112)

Abstract

This paper presents a method based on articulated models for the registration of spine data extracted from multimodal medical images of patients with scoliosis. With the ultimate aim being the development of a complete geometrical model of the torso of a scoliotic patient, this work presents a method for the registration of vertebral column data using 3D magnetic resonance images (MRI) acquired in prone position and X-ray data acquired in standing position for five patients with scoliosis. The 3D shape of the vertebrae is estimated from both image modalities for each patient, and an articulated model is used in order to calculate intervertebral transformations required in order to align the vertebrae between both postures. Euclidean distances between anatomical landmarks are calculated in order to assess multimodal registration error. Results show a decrease in the Euclidean distance using the proposed method compared to rigid registration and more physically realistic vertebrae deformations compared to thin-plate-spline (TPS) registration thus improving alignment.

Keywords

Adolescent Idiopathic Scoliosis Magnetic Resonance Image Image Magnetic Resonance Image Data Registration Error Rigid Registration 
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 2010

Authors and Affiliations

  • Rola Harmouche
    • 1
  • Farida Cheriet
    • 1
  • Hubert Labelle
    • 2
  • Jean Dansereau
    • 1
  1. 1.École Polytechnique de MontréalMontréal
  2. 2.Hôpital Ste-JustineMontréal

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