Dynamic estimation of three-dimensional cerebrovascular deformation from rotational angiography

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Zhang C, Villa-Uriol MC, De Craene M, Pozo JM, Macho J, Frangi AF. Dynamic estimation of three-dimensional cerebrovascular deformation from rotational angiography. Med Phys. 2011; 38(3): 1294-1306. DOI: 10.1118/1.3549761
http://hdl.handle.net/10230/16690
To cite or link this document: http://hdl.handle.net/10230/16690
dc.contributor.author Zhang, Chong
dc.contributor.author Villa-Uriol, Maria-Cruz
dc.contributor.author De Craene, Mathieu
dc.contributor.author Pozo Soler, José Ma. (José María)
dc.contributor.author Macho, Juan M.
dc.contributor.author Frangi Caregnato, Alejandro
dc.contributor.author Universitat Pompeu Fabra
dc.date.accessioned 2012-07-09T09:58:51Z
dc.date.available 2012-07-09T09:58:51Z
dc.date.issued 2011
dc.identifier.citation Zhang C, Villa-Uriol MC, De Craene M, Pozo JM, Macho J, Frangi AF. Dynamic estimation of three-dimensional cerebrovascular deformation from rotational angiography. Med Phys. 2011; 38(3): 1294-1306. DOI: 10.1118/1.3549761
dc.identifier.issn 0094-2405
dc.identifier.uri http://hdl.handle.net/10230/16690
dc.description.abstract Purpose: The objective of this study is to investigate the feasibility of detecting and quantifying 3D cerebrovascular wall motion from a single 3D rotational x-ray angiography (3DRA) acquisition within a clinically acceptable time and computing from the estimated motion field for the further biomechanical modeling of the cerebrovascular wall. Methods: The whole motion cycle of the cerebral vasculature is modeled using a 4D B-spline transformation, which is estimated from a 4D to 2D + t image registration framework. The registration is performed by optimizing a single similarity metric between the entire 2D + t measured projection sequence and the corresponding forward projections of the deformed volume at their exact time instants. The joint use of two acceleration strategies, together with their implementation on graphics processing units, is also proposed so as to reach computation times close to clinical requirements. For further characterizing vessel wall properties, an approximation of the wall thickness changes is obtained through a strain calculation. Results: Evaluation on in silico and in vitro pulsating phantom aneurysms demonstrated an accurate estimation of wall motion curves. In general, the error was below 10% of the maximum pulsation, even in the situation when substantial inhomogeneous intensity pattern was present. Experiments on in vivo data provided realistic aneurysm and vessel wall motion estimates, whereas in regions where motion was neither visible nor anatomically possible, no motion was detected. The use of the acceleration strategies enabled completing the estimation process for one entire cycle in 5-10 min without degrading the overall performance. The strain map extracted from our motion estimation provided a realistic deformation measure of the vessel wall. Conclusions: The authors' technique has demonstrated that it can provide accurate and robust 4D estimates of cerebrovascular wall motion within a clinically acceptable time, although it has to be applied to a larger patient population prior to possible wide application to routine endovascular procedures. In particular, for the first time, this feasibility study has shown that in vivo cerebrovascular motion can be obtained intraprocedurally from a 3DRA acquisition. Results have also shown the potential of performing strain analysis using this imaging modality, thus making possible for the future modeling of biomechanical properties of the vascular wall.
dc.description.sponsorship This work was partially supported by the CENIT-CDTEAM grant funded by the Spanish Ministry of Science and Innovation, partially generated in the framework of the @neurIST Integrated Project, which is cofinanced by the European Commission (Grant No. IST-027703), and partially supported by the Spanish Ministry of Science and Innovation (Ref. No. TIN2009-14536-C02-01), Plan E, and FEDER.
dc.language.iso eng
dc.publisher American Association of Physicists in Medicine (AAPM)
dc.relation.ispartof Medical Physics. 2011; 38(3): 1294-1306
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/i3/p1294_s1
dc.subject.other Angiografia
dc.subject.other Malalties cerebrovasculars
dc.subject.other Diagnòstic per la imatge
dc.title Dynamic estimation of three-dimensional cerebrovascular deformation from rotational angiography
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1118/1.3549761
dc.subject.keyword Cerebral vasculature
dc.subject.keyword Image registration
dc.subject.keyword Motion estimation
dc.subject.keyword Rotational angiography
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP6/027703
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/acceptedVersion


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