Automated Segmentation of Cerebral Vasculature with Aneurysms in 3DRA and TOF-MRA using Geodesic Active Regions: an Evaluation Study

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• dc.contributor.author Bogunovic, Hrvojeca
• dc.contributor.author Pozo Soler, José Ma. (José María)ca
• dc.contributor.author Villa-Uriol, Maria-Cruzca
• dc.contributor.author Majoie, Charles B. L. M.ca
• dc.contributor.author van den Berg, Reneca
• dc.contributor.author Gratama van Andel, Hugo A. F.ca
• dc.contributor.author Macho, Juan M.ca
• dc.contributor.author Blasco, Jordica
• dc.contributor.author San Román, Luisca
• dc.contributor.author Frangi Caregnato, Alejandroca
• dc.date.accessioned 2012-07-09T09:58:45Z
• dc.date.available 2012-07-09T09:58:45Z
• dc.date.issued 2010ca
• dc.description.abstract Purpose: To evaluate the suitability of an improved version of an automatic segmentation method based on geodesic active regions (GAR) for segmenting cerebral vasculature with aneurysms from 3D X-ray reconstruc-/ntion angiography (3DRA) and time of °ight magnetic resonance angiography (TOF-MRA) images available in the clinical routine./nMethods: Three aspects of the GAR method have been improved: execution time, robustness to variability in imaging protocols and robustness to variability in image spatial resolutions. The improved GAR was retrospectively evaluated on images from patients containing intracranial aneurysms in the area of the Circle of Willis and imaged with two modalities: 3DRA and TOF-MRA. Images were obtained from two clinical centers, each using di®erent imaging equipment. Evaluation included qualitative and quantitative analyses of/nthe segmentation results on 20 images from 10 patients. The gold standard was built from 660 cross-sections (33 per image) of vessels and aneurysms, manually measured by interventional neuroradiologists. GAR has also been compared to an interactive segmentation method: iso-intensity surface extraction (ISE). In addition, since patients had been imaged with the two modalities, we performed an inter-modality agreement analysis with respect to both the manual measurements and each of the two segmentation methods. Results: Both GAR and ISE di®ered from the gold standard within acceptable limits compared to the imaging resolution. GAR (ISE, respectively) had an average accuracy of 0.20 (0.24) mm for 3DRA and 0.27 (0.30) mm for TOF-MRA, and had a repeatability of 0.05 (0.20) mm. Compared to ISE, GAR had a lower qualitative error in the vessel region and a lower quantitative error in the aneurysm region. The repeatability/nof GAR was superior to manual measurements and ISE. The inter-modality agreement was similar between GAR and the manual measurements. Conclusions: The improved GAR method outperformed ISE qualitatively as well as quantitatively and is suitable for segmenting 3DRA and TOF-MRA images from clinical routine.
• dc.description.sponsorship The authors would like to acknowledge J. Schneiders for providing part of the TOF-MRA imaging data. The authors would like to thank also A. G. Radaelli, M. Nieber, and X. Planes for the help in implementing some of the methods. This work was partially supported by the @neurIST Integrated Project (co-financed by the European Commission through Contract No. IST-027703), the CDTI CENIT-CDTEAM grant funded by the Spanish Ministry of Science and Innovation (MICINN-CDTI), the AGAUR-FI fellowship from Generalitat de Catalunya, and Philips Healthcare (Best, The Netherlands).
• dc.format.mimetype application/pdfca
• dc.identifier.citation Bogunovic H, Pozo JM, Villa-Uriol MC, Majoie CBLM, van den Berg R, Gratama van Andel HAF, Macho JM, Blasco J, San Román L, Frangi AF. Automated Segmentation of Cerebral Vasculature with Aneurysms in 3DRA and TOF-MRA using Geodesic Active Regions: an Evaluation Study. Med Phys. 2011; 38(1): 210-222. DOI: 10.1118/1.3515749ca
• dc.identifier.doi http://dx.doi.org/10.1118/1.3515749
• dc.identifier.issn 0094-2405ca
• dc.identifier.uri http://hdl.handle.net/10230/16687
• dc.language.iso engca
• dc.publisher American Association of Physicists in Medicine (AAPM)ca
• dc.relation.ispartof Medical Physics. 2011; 38(1): 210-222
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP6/027703
• dc.rights © 2011, American Association of Physicists in Medicine. Individual readers of this journal, and nonprofit libraries acting for them, are freely permitted to make fair use of the material in it, such as to copy an article for use in teaching or research. (For other kinds of copying see "Copying Fees.") Permission is granted to quote from this journal in scientific works with the customary acknowledgment of the source. To reprint a figure, table, or other excerpt requires, in addition, AAPM may require that permission also be obtained from one of the authors. Address inquiries and notices to Penny Slattery, Journal Manager, Medical Physics Journal, AAPM, One Physics Ellipse, College Park, MD 20740-3846; email: journal -at- aapm.org. The abstract of this article can be found at http://online.medphys.org/resource/1/mphya6/v38/i1/p210_s1ca
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Cerebral angiography
• dc.subject.keyword Cerebral aneurysms
• dc.subject.keyword Vessel segmentation
• dc.subject.keyword Geodesic active regions
• dc.subject.keyword Quantitative evaluation
• dc.subject.other Aneurismes cerebrals
• dc.subject.other Angiografia - Tècniques digitals
• dc.title Automated Segmentation of Cerebral Vasculature with Aneurysms in 3DRA and TOF-MRA using Geodesic Active Regions: an Evaluation Studyca
• dc.type info:eu-repo/semantics/articleca
• dc.type.version info:eu-repo/semantics/acceptedVersion