A method for morphological characterization of dural ectasia in Marfan syndrome.

Maria I. Iacono, Katia Passera, Lorenzo Magrassi, Roberto Dore, Paolo Lago, Eloisa Arbustini, Luca T. Mainardi

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Abstract

In this paper we reported a novel method to detect and quantify dural ectasia in Marfan syndrome. Firstly, the dural sacs of 8 Marfan patients were segmented by applying an unsupervised Fuzzy C-Means method on T2-weighed magnetic resonance images. Then, for each patient a tubular model of the dural sac was extracted by detecting and removing the existent pathological extrusions. The segmented images together with the resulting tube were then rendered using a marching cubes algorithm. The proposed algorithm represents a first attempt to quantify and to morphologically characterize the pathological ectasia that usually accompanies the Marfan disorder. The generated 3D reconstruction and the opportunity to overlap them with a physiological model provides the clinician with a tool for a panoramic view of the structures and a means for a more accurate inspection of ectasia. In addition the extracted parameters furnish quantitative and reproducible measures that could be useful as discriminative indexes for an automatic and more objective diagnosis.

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Pathologic Dilatations
Marfan Syndrome
Physiological models
Magnetic resonance
Extrusion
Inspection
Magnetic Resonance Spectroscopy

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

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title = "A method for morphological characterization of dural ectasia in Marfan syndrome.",
abstract = "In this paper we reported a novel method to detect and quantify dural ectasia in Marfan syndrome. Firstly, the dural sacs of 8 Marfan patients were segmented by applying an unsupervised Fuzzy C-Means method on T2-weighed magnetic resonance images. Then, for each patient a tubular model of the dural sac was extracted by detecting and removing the existent pathological extrusions. The segmented images together with the resulting tube were then rendered using a marching cubes algorithm. The proposed algorithm represents a first attempt to quantify and to morphologically characterize the pathological ectasia that usually accompanies the Marfan disorder. The generated 3D reconstruction and the opportunity to overlap them with a physiological model provides the clinician with a tool for a panoramic view of the structures and a means for a more accurate inspection of ectasia. In addition the extracted parameters furnish quantitative and reproducible measures that could be useful as discriminative indexes for an automatic and more objective diagnosis.",
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T1 - A method for morphological characterization of dural ectasia in Marfan syndrome.

AU - Iacono, Maria I.

AU - Passera, Katia

AU - Magrassi, Lorenzo

AU - Dore, Roberto

AU - Lago, Paolo

AU - Arbustini, Eloisa

AU - Mainardi, Luca T.

PY - 2009

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