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Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation

Publication ,  Journal Article
Hernandez, M; Frangi, AF; Sapiro, G
Published in: Lecture Notes in Computer Science
January 1, 2003

Knowledge of brain aneurysm dimensions is essential in minimally invasive surgical interventions using Guglielmi Detachable Coils. These parameters are obtained in clinical routine using 2D maximum intensity projection images. Automated quantification of the three dimensional structure of aneurysms directly from the 3D data set may be used to provide accurate and objective measurements of the clinically relevant parameters. In this paper we present an algorithm devised for the segmentation of brain aneurysms based on implicit deformable models combined with non-parametric region-based information. This work also presents the evaluation of the method in a clinical data base of 39 cases.

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Published In

Lecture Notes in Computer Science

DOI

ISSN

0302-9743

Publication Date

January 1, 2003

Volume

2879

Issue

PART 2

Start / End Page

594 / 602

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences
 

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Hernandez, M., Frangi, A. F., & Sapiro, G. (2003). Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation. Lecture Notes in Computer Science, 2879(PART 2), 594–602. https://doi.org/10.1007/978-3-540-39903-2_73
Hernandez, M., A. F. Frangi, and G. Sapiro. “Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation.” Lecture Notes in Computer Science 2879, no. PART 2 (January 1, 2003): 594–602. https://doi.org/10.1007/978-3-540-39903-2_73.
Hernandez M, Frangi AF, Sapiro G. Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation. Lecture Notes in Computer Science. 2003 Jan 1;2879(PART 2):594–602.
Hernandez, M., et al. “Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation.” Lecture Notes in Computer Science, vol. 2879, no. PART 2, Jan. 2003, pp. 594–602. Scopus, doi:10.1007/978-3-540-39903-2_73.
Hernandez M, Frangi AF, Sapiro G. Three-dimensional segmentation of brain aneurysms in CTA using non-parametric region-based information and implicit deformable models: Method and evaluation. Lecture Notes in Computer Science. 2003 Jan 1;2879(PART 2):594–602.

Published In

Lecture Notes in Computer Science

DOI

ISSN

0302-9743

Publication Date

January 1, 2003

Volume

2879

Issue

PART 2

Start / End Page

594 / 602

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences