Three-dimensional morphological analysis of intracranial aneurysms: A fully automated method for aneurysm sac isolation and quantification
2011; Wiley; Volume: 38; Issue: 5 Linguagem: Inglês
10.1118/1.3575417
ISSN2473-4209
AutoresIgnacio Larrabide, Maria‐Cruz Villa‐Uriol, Rubén Cárdenes, José M. Pozo, Juan Macho, Luís San Román, Jordi Blasco, Elío Vivas, Alberto Marzo, David R. J. Hose, Alejandro F. Frangi,
Tópico(s)Acute Ischemic Stroke Management
ResumoMedical PhysicsVolume 38, Issue 5 p. 2439-2449 Radiation measurement physics Three-dimensional morphological analysis of intracranial aneurysms: A fully automated method for aneurysm sac isolation and quantification Ignacio Larrabide, Ignacio Larrabide Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, Spain and Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain Author to whom correspondence should be addressed. Electronic mail: ignacio.larrabide@upf.eduSearch for more papers by this authorMaria Cruz Villa-Uriol, Maria Cruz Villa-Uriol Center for Computational Imaging Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, SpainSearch for more papers by this authorRubén Cárdenes, Rubén Cárdenes Center for Computational Imaging Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, SpainSearch for more papers by this authorJose Maria Pozo, Jose Maria Pozo Center for Computational Imaging Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, SpainSearch for more papers by this authorJuan Macho, Juan Macho Department of Vascular Radiology, Hospital Clinic i Provincial de Barcelona, Barcelona 08036, SpainSearch for more papers by this authorLuis San Roman, Luis San Roman Department of Vascular Radiology, Hospital Clinic i Provincial de Barcelona, Barcelona 08036, SpainSearch for more papers by this authorJordi Blasco, Jordi Blasco Department of Vascular Radiology, Hospital Clinic i Provincial de Barcelona, Barcelona 08036, SpainSearch for more papers by this authorElio Vivas, Elio Vivas Neuroangiograía Terapéutica J. J. Merland, Hospital General de Catalunya, San Cugat del Valles 08195, SpainSearch for more papers by this authorAlberto Marzo, Alberto Marzo Academic Unit of Medical Physics, Faculty of Medicine and Biomedical Sciences, University of Sheffield, Sheffield S10 2TN, United KingdomSearch for more papers by this authorD. Rod Hose, D. Rod Hose Academic Unit of Medical Physics, Faculty of Medicine and Biomedical Sciences, University of Sheffield, Sheffield S10 2TN, United KingdomSearch for more papers by this authorAlejandro F. Frangi, Alejandro F. Frangi Center for Computational Imaging Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, Spain and Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona 08019, SpainSearch for more papers by this author Ignacio Larrabide, Ignacio Larrabide Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, Spain and Center for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain Author to whom correspondence should be addressed. Electronic mail: ignacio.larrabide@upf.eduSearch for more papers by this authorMaria Cruz Villa-Uriol, Maria Cruz Villa-Uriol Center for Computational Imaging Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, SpainSearch for more papers by this authorRubén Cárdenes, Rubén Cárdenes Center for Computational Imaging Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, SpainSearch for more papers by this authorJose Maria Pozo, Jose Maria Pozo Center for Computational Imaging Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, SpainSearch for more papers by this authorJuan Macho, Juan Macho Department of Vascular Radiology, Hospital Clinic i Provincial de Barcelona, Barcelona 08036, SpainSearch for more papers by this authorLuis San Roman, Luis San Roman Department of Vascular Radiology, Hospital Clinic i Provincial de Barcelona, Barcelona 08036, SpainSearch for more papers by this authorJordi Blasco, Jordi Blasco Department of Vascular Radiology, Hospital Clinic i Provincial de Barcelona, Barcelona 08036, SpainSearch for more papers by this authorElio Vivas, Elio Vivas Neuroangiograía Terapéutica J. J. Merland, Hospital General de Catalunya, San Cugat del Valles 08195, SpainSearch for more papers by this authorAlberto Marzo, Alberto Marzo Academic Unit of Medical Physics, Faculty of Medicine and Biomedical Sciences, University of Sheffield, Sheffield S10 2TN, United KingdomSearch for more papers by this authorD. Rod Hose, D. Rod Hose Academic Unit of Medical Physics, Faculty of Medicine and Biomedical Sciences, University of Sheffield, Sheffield S10 2TN, United KingdomSearch for more papers by this authorAlejandro F. Frangi, Alejandro F. Frangi Center for Computational Imaging Simulation Technologies in Biomedicine (CISTIB), Universitat Pompeu Fabra, Barcelona 08019, Spain and Networking Research Center on Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona 08019, Spain and Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona 08019, SpainSearch for more papers by this author First published: 28 April 2011 https://doi.org/10.1118/1.3575417Citations: 25 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Purpose: Morphological descriptors are practical and essential biomarkers for diagnosis and treatment selection for intracranial aneurysm management according to the current guidelines in use. Nevertheless, relatively little work has been dedicated to improve the three-dimensional quantification of aneurysmal morphology, to automate the analysis, and hence to reduce the inherent intra and interobserver variability of manual analysis. In this paper we propose a methodology for the automated isolation and morphological quantification of saccular intracranial aneurysms based on a 3D representation of the vascular anatomy. Method: This methodology is based on the analysis of the vasculature skeleton's topology and the subsequent application of concepts from deformable cylinders. These are expanded inside the parent vessel to identify different regions and discriminate the aneurysm sac from the parent vessel wall. The method renders as output the surface representation of the isolated aneurysm sac, which can then be quantified automatically. The proposed method provides the means for identifying the aneurysm neck in a deterministic way. The results obtained by the method were assessed in two ways: they were compared to manual measurements obtained by three independent clinicians as normally done during diagnosis and to automated measurements from manually isolated aneurysms by three independent operators, nonclinicians, experts in vascular image analysis. All the measurements were obtained using in-house tools. The results were qualitatively and quantitatively compared for a set of the saccular intracranial aneurysms (n = 26).Results: Measurements performed on a synthetic phantom showed that the automated measurements obtained from manually isolated aneurysms where the most accurate. The differences between the measurements obtained by the clinicians and the manually isolated sacs were statistically significant (neck width: p < 0.001, sac height: p = 0.002). When comparing clinicians' measurements to automatically isolated sacs, only the differences for the neck width were significant (neck width: p < 0.001, sac height: p = 0.95). However, the correlation and agreement between the measurements obtained from manually and automatically isolated aneurysms for the neck width: p = 0.43 and sac height: p = 0.95 where found.Conclusions: The proposed method allows the automated isolation of intracranial aneurysms, eliminating the interobserver variability. In average, the computational cost of the automated method (2 min 36 s) was similar to the time required by a manual operator (measurement by clinicians: 2 min 51 s, manual isolation: 2 min 21 s) but eliminating human interaction. The automated measurements are irrespective of the viewing angle, eliminating any bias or difference between the observer criteria. Finally, the qualitative assessment of the results showed acceptable agreement between manually and automatically isolated aneurysms. Citing Literature Volume38, Issue5May 2011Pages 2439-2449 RelatedInformation
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