Towards a quantitative assessment of dural ectasia in patients with marfan syndrome

Maria Ida Iacono, K. Passera, L. Magrassi, R. Dore, P. Lago, E. Arbustini, L. T. Mainardi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper an automatic segmentation algorithm and a surface rendering technique for volumetric analysis of dural ectasia are presented. The segmentation algorithm, based on an unsupervised Fuzzy C-Means method, was applied on T2-weighed Magnetic Resonance images of 6 patients affected by Marfan Syndrome. The segmented images were then rendered using a marching cubes algorithm, a powerful technique producing very high-quality images. The proposed methodology is a preliminary step towards a morphological characterization of the pathological dilatation of the dura related to this particular autosomal disorder. The fidelity of the generated 3D reconstructions comes close to anatomical reality and provides the clinician with a tool for a panoramic view of the structures and a means for a more accurate diagnosis of ectasia.

Original languageEnglish
Title of host publicationIFMBE Proceedings
Pages898-901
Number of pages4
Volume25
Edition4
DOIs
Publication statusPublished - 2009
EventWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany
Duration: Sep 7 2009Sep 12 2009

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
CountryGermany
CityMunich
Period9/7/099/12/09

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Keywords

  • Dural ectasia
  • Fuzzy c-means
  • Marching cubes
  • Marfan syndrome
  • Surface rendering

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

Cite this

Iacono, M. I., Passera, K., Magrassi, L., Dore, R., Lago, P., Arbustini, E., & Mainardi, L. T. (2009). Towards a quantitative assessment of dural ectasia in patients with marfan syndrome. In IFMBE Proceedings (4 ed., Vol. 25, pp. 898-901) https://doi.org/10.1007/978-3-642-03882-2-240