Computer-aided planning for endovascular treatment of intracranial aneurysms (CAPETA)

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dc.contributor.author Mohamed, Ashraf
dc.contributor.author Sgouritsa, Eleni
dc.contributor.author Morsi, Hesham
dc.contributor.author Shaltoni, Hashem
dc.contributor.author Mawad, Michel E.
dc.contributor.author Kakadiaries, Ioannis A.
dc.date.accessioned 2019-07-12T10:59:43Z
dc.date.available 2019-07-12T10:59:43Z
dc.date.copyright 2010 en_US
dc.date.issued 2019-07-12
dc.identifier.uri http://hdl.handle.net/10725/11051
dc.description.abstract Endovascular treatment planning of intracranial aneurysms requires accurate quantification of their geometric parameters, including the neck length, dome height and maximum diameter. Today, the geometry of intracranial aneurysms is typically quantified manually based on three-dimensional (3D) Digital Subtraction Angiography (DSA) images. Since the repeatability of manual measurements is not guaranteed and their accuracy is dependent on the experience of the treating physician, we propose a semi-automated approach for computer-aided measurement of these parameters. In particular, a tubular deformable model, initialized based on user-provided points, is first fit to the surface of the parent artery. An initial estimate of the aneurysmal segment is obtained based on differences between the two surfaces. A 3D deformable contour model is then used to localize the aneurysmal neck and to separate its dome surface from the parent artery. Finally, approaches for estimation of the clinically relevant geometric parameters are applied based on the aneurysmal neck and dome surface. Results on 19 3D DSA datasets of saccular aneurysms indicate that, for the maximum diameter, the standard deviation of the difference between the proposed approach and two independent manual sets of measurements obtained by expert readers is similar to the inter-rater standard deviation. For the neck length and dome height, the results improve considerably if we exclude datasets with high deviation from the manual measurements. en_US
dc.language.iso en en_US
dc.publisher SPIE en_US
dc.title Computer-aided planning for endovascular treatment of intracranial aneurysms (CAPETA) en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOM en_US
dc.author.idnumber 201700518 en_US
dc.author.department N/A en_US
dc.description.embargo N/A en_US
dc.identifier.doi https://doi.org/10.1117/12.841042 en_US
dc.identifier.ctation Mohamed, A., Sgouritsa, E., Morsi, H., Shaltoni, H., Mawad, M. E., & Kakadiaris, I. A. (2010, February). Computer-aided planning for endovascular treatment of intracranial aneurysms (CAPETA). In Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling (Vol. 7625, p. 762532). International Society for Optics and Photonics. en_US
dc.author.email michel.mawad@lau.edu.lb en_US
dc.conference.date 13-18 February 2010 en_US
dc.conference.place San Diego, California, United States en_US
dc.conference.subtitle visualization, image-guided procedures, and modeling en_US
dc.conference.title Medical imaging 2010 en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://www.spiedigitallibrary.org/conference-proceedings-of-spie/7625/762532/Computer-aided-planning-for-endovascular-treatment-ofintracranial-aneurysms-CAPETA/10.1117/12.841042.short?SSO=1 en_US
dc.volume 7625 en_US
dc.author.affiliation Lebanese American University en_US

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