2D/3D Registration of Neonatal Brain Images
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.
KeywordsMutual Information Cerebral Palsy Speckle Noise Probability Density Function Registration Result
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- 1.Davis, D.: Review of cerebral palsy. Neonatal Network 16, 7–12 (1997)Google Scholar
- 2.Paneth, N., Nudelli, R., Kazam, E., Monte, W.: Brain Damage in the preterm infant. Mac Keith Press, London (1994)Google Scholar
- 6.Mattes, D., Haynor, D.R., Vesselle, H., Lewellen, T.K., Eubank, W.: Non-rigid multimodality image registration. In: Medical Imaging 2001: Image Processing, pp. 1609–1620 (2001)Google Scholar
- 7.Styner, M., Gerig, G.: Parametric Estimation of 2D/3D Bias Correction with 1+1ES-Optimization. Techmical Report, Image Science Lab ETH Zürich (1997)Google Scholar