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

doi:10.1007/978-3-642-03882-2-240

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

IRCCS Fondazione Policlinico San Matteo

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	IFMBE Proceedings
Pages	898-901
Number of pages	4
Volume	25
Edition	4
DOIs	https://doi.org/10.1007/978-3-642-03882-2-240
Publication status	Published - 2009
Event	World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics - Munich, Germany Duration: Sep 7 2009 → Sep 12 2009

Other

Other	World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics
Country/Territory	Germany
City	Munich
Period	9/7/09 → 9/12/09

Keywords

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

ASJC Scopus subject areas

Biomedical Engineering
Bioengineering

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10.1007/978-3-642-03882-2-240

Cite this

Iacono, MI, Passera, K, Magrassi, L, Dore, R, Lago, P, Arbustini, E & Mainardi, LT 2009, Towards a quantitative assessment of dural ectasia in patients with marfan syndrome. in IFMBE Proceedings. 4 edn, vol. 25, pp. 898-901, World Congress on Medical Physics and Biomedical Engineering: Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics, Munich, Germany, 9/7/09. https://doi.org/10.1007/978-3-642-03882-2-240

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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.",

keywords = "Dural ectasia, Fuzzy c-means, Marching cubes, Marfan syndrome, Surface rendering",

author = "Iacono, {Maria Ida} and K. Passera and L. Magrassi and R. Dore and P. Lago and E. Arbustini and Mainardi, {L. T.}",

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T1 - Towards a quantitative assessment of dural ectasia in patients with marfan syndrome

AU - Iacono, Maria Ida

AU - Passera, K.

AU - Magrassi, L.

AU - Dore, R.

AU - Lago, P.

AU - Arbustini, E.

AU - Mainardi, L. T.

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Dural ectasia

KW - Fuzzy c-means

KW - Marching cubes

KW - Marfan syndrome

KW - Surface rendering

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Y2 - 7 September 2009 through 12 September 2009

ER -

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

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Keywords

ASJC Scopus subject areas

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