Literature DB >> 23224794

Performance assessment of isolation methods for geometrical cerebral aneurysm analysis.

Rubén Cárdenes1, Ignacio Larrabide, Luis San Román, Alejandro F Frangi.   

Abstract

Geometrical aneurysm quantification is considered an important topic for the study of aneurysm formation, growth, risk of rupture and also in treatment planning. Usually, quantification involves aneurysm isolation, consisting in the operation of detecting the boundary between the aneurysm dome and its feeding arteries. This operation is sometimes performed manually, but it is a tedious task, subject to user variability. To obtain reproducible measurements, automatic techniques have been proposed. In this paper, we compare different aneurysm isolation techniques, two automatic and one manual-based on a cutting plane. All of them are compared against the results obtained by manual delineations of 26 real cases. We show from the results that automatic methods have good performance, providing results similar to manual methods in average. We also show that automatic methods improve reproducibility compared to direct measurements performed on volume rendering views. Each automatic method presents strengths and weaknesses in particular cases such as small aneurysms, aneurysms with multiple parent vessels or terminal aneurysms, but their reproducibility makes them suitable for robust population studies. Finally, based on this study, we have proposed a criterion that allows to use a combination of the two methods studied and that outperforms each of them individually.

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Year:  2012        PMID: 23224794     DOI: 10.1007/s11517-012-1003-8

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  12 in total

1.  A framework for geometric analysis of vascular structures: application to cerebral aneurysms.

Authors:  Marina Piccinelli; Alessandro Veneziani; David A Steinman; Andrea Remuzzi; Luca Antiga
Journal:  IEEE Trans Med Imaging       Date:  2009-05-12       Impact factor: 10.048

2.  An objective approach to digital removal of saccular aneurysms: technique and applications.

Authors:  M D Ford; Y Hoi; M Piccinelli; L Antiga; D A Steinman
Journal:  Br J Radiol       Date:  2009-01       Impact factor: 3.039

3.  Automated segmentation of cerebral vasculature with aneurysms in 3DRA and TOF-MRA using geodesic active regions: an evaluation study.

Authors:  Hrvoje Bogunović; José María Pozo; María Cruz Villa-Uriol; Charles B L M Majoie; Rene van den Berg; Hugo A F Gratama van Andel; Juan M Macho; Jordi Blasco; Luis San Román; Alejandro F Frangi
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

4.  Quantified aneurysm shape and rupture risk.

Authors:  Madhavan L Raghavan; Baoshun Ma; Robert E Harbaugh
Journal:  J Neurosurg       Date:  2005-02       Impact factor: 5.115

5.  Automatic aneurysm neck detection using surface Voronoi diagrams.

Authors:  Rubén Cárdenes; José María Pozo; Hrvoje Bogunovic; Ignacio Larrabide; Alejandro F Frangi
Journal:  IEEE Trans Med Imaging       Date:  2011-05-27       Impact factor: 10.048

6.  Augmented vessels for quantitative analysis of vascular abnormalities and endovascular treatment planning.

Authors:  Wilbur C K Wong; Albert C S Chung
Journal:  IEEE Trans Med Imaging       Date:  2006-06       Impact factor: 10.048

7.  Three-dimensional morphological analysis of intracranial aneurysms: a fully automated method for aneurysm sac isolation and quantification.

Authors:  Ignacio Larrabide; Maria Cruz Villa-Uriol; Rubén Cárdenes; Jose Maria Pozo; Juan Macho; Luis San Roman; Jordi Blasco; Elio Vivas; Alberto Marzo; D Rod Hose; Alejandro F Frangi
Journal:  Med Phys       Date:  2011-05       Impact factor: 4.071

8.  Three-dimensional geometrical characterization of cerebral aneurysms.

Authors:  Baoshun Ma; Robert E Harbaugh; Madhavan L Raghavan
Journal:  Ann Biomed Eng       Date:  2004-02       Impact factor: 3.934

9.  Morphology parameters for intracranial aneurysm rupture risk assessment.

Authors:  Sujan Dhar; Markus Tremmel; J Mocco; Minsuok Kim; Junichi Yamamoto; Adnan H Siddiqui; L Nelson Hopkins; Hui Meng
Journal:  Neurosurgery       Date:  2008-08       Impact factor: 4.654

10.  Three-dimensional blood vessel quantification via centerline deformation.

Authors:  Dong-Goo Kang; Dae Chul Suh; Jong Beom Ra
Journal:  IEEE Trans Med Imaging       Date:  2009-03       Impact factor: 10.048

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  4 in total

1.  Unsteady wall shear stress analysis from image-based computational fluid dynamic aneurysm models under Newtonian and Casson rheological models.

Authors:  Marcelo A Castro; María C Ahumada Olivares; Christopher M Putman; Juan R Cebral
Journal:  Med Biol Eng Comput       Date:  2014-08-26       Impact factor: 2.602

2.  Semiautomatic neck curve reconstruction for intracranial aneurysm rupture risk assessment based on morphological parameters.

Authors:  Sylvia Saalfeld; Philipp Berg; Annika Niemann; Maria Luz; Bernhard Preim; Oliver Beuing
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-08-29       Impact factor: 2.924

3.  Feasibility of Quantification of Intracranial Aneurysm Pulsation with 4D CTA with Manual and Computer-Aided Post-Processing.

Authors:  Till Illies; Dennis Saering; Manabu Kinoshita; Toshiyuki Fujinaka; Maxim Bester; Jens Fiehler; Noriyuki Tomiyama; Yoshiyuki Watanabe
Journal:  PLoS One       Date:  2016-11-23       Impact factor: 3.240

4.  Multiple Aneurysms AnaTomy CHallenge 2018 (MATCH)-Phase Ib: Effect of morphology on hemodynamics.

Authors:  Samuel Voß; Oliver Beuing; Gábor Janiga; Philipp Berg
Journal:  PLoS One       Date:  2019-05-17       Impact factor: 3.240

  4 in total

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