2D/3D Registration of Neonatal Brain Images

  • Ewout Vansteenkiste
  • Jef Vandemeulebroucke
  • Wilfried Philips
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4057)


Recently, it is shown the morphology of the white matter, obtained by ultrasound (US) imaging, has prognostic implications for certain brain pathologies. Periventricular Leukomalacia (PVL) is such a pathology diagnosed on infants with a very low birth weight (<1500g). Next to the US images Magnetic Resonance Image (MRI) volumes are commonly used for the inspection of this pathology. Since on both modalities, up to now, we still lack a golden standard for the quantification of the syndrome cross-validation through a multi-modal registration is highly beneficial to the clinical diagnosis. In this article we present a 2D US – 3D MRI registration scheme combining an interactive initialization step, B-spline image interpolation, a mutual information based metric and an evolutionary algorithm optimization scheme.


Mutual Information Cerebral Palsy Speckle Noise Probability Density Function Registration Result 
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

  • Ewout Vansteenkiste
    • 1
  • Jef Vandemeulebroucke
    • 1
  • Wilfried Philips
    • 1
  1. 1.Department of Telecommunication and Information ProcessingGhent UniversityGhentBelgium

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