The @neurIST project: towards understanding cerebral aneurysms

Frangi, Alejandro F.

doi:10.1117/2.1200706.0782

Cited by 11 publications

(11 citation statements)

References 8 publications

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“…One lateral aneurysm located near the ophthalmic bifurcation on the internal carotid artery and one terminal aneurysm located at the carotid bifurcation. Clinical and imaging data were obtained within the @neurIST project [6].…”

Section: A Blood Flow Modelingmentioning

confidence: 99%

Comparison of steady-state and transient blood flow simulations of intracranial aneurysms

Geers

Larrabide

Morales

et al. 2010

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

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Hemodynamics play an important role in the pathogenesis of intracranial aneurysms and patient-specific computational hemodynamic simulations could provide valuable information to clinicians. Transient simulations that capture the pulsatility of blood flow are commonly used for research purposes. However, steady-state simulations might provide enough information at a lower computational cost, which could help facilitate the introduction of hemodynamic simulations into clinical practice. In this study, we compared steady-state simulations to transient simulations for two aneurysms. The effect of a change in flow rate waveform was investigated and virtual treatment techniques were employed to compare post-treatment flow reduction predictions. We found that the difference in the time-averaged wall shear stress on the aneurysm was less than 5% and the distribution of wall shear stress was qualitatively assessed to be very similar.

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Section: A Blood Flow Modelingmentioning

confidence: 99%

Comparison of steady-state and transient blood flow simulations of intracranial aneurysms

Geers

Larrabide

Morales

et al. 2010

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

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“…The proposed methodology has been evaluated with 10 different aneurysm geometries from the neurIST database [8]. These 10 cases where selected on the basis that the corresponding skeleton, obtained from the segmentation, was found to be "topologically correct" at the region of the aneurysm (i.e., no vessels touching the aneurysm dome, main vessels around the aneurysm are visible).…”

Section: Resultsmentioning

confidence: 99%

Automated intracranial aneurysm isolation and quantification

Larrabide

Villa-Urio

Cárdenes

et al. 2010

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

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Until today, geometrical descriptors of intracranial aneurysms are largely used for diagnosis and treatment selection. Nevertheless, relatively little work has been devoted to automatize these measurements. In this work we propose a methodology for the automated isolation and quantification from vascular segmentation. The proposed methodology is based on skeleton topology analysis, geometrical analysis and deformable models to isolate, automatically, the aneurysm dome as well as its geometrical characteristics. The accuracy of this methodology when compared to manually isolated aneurysms is evaluated in 10 patient-specific vascular geometries. Good correspondence is observed between manual and automated results.

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“…A set of twenty-six (n=26) saccular intracranial aneurysm geometries collected during the European project @neurIST [25] have been used for the assessment of the proposed methodology. These have been obtained from diagnostic 3D rotational angiographic (3DRA) images, which have been acquired using either an Integris T M Allura System (Philips Healthcare, Best, The Netherlands) or an AXIOM Artis (Siemens Medical Solutions, Erlangen, Germany).…”

Section: Experiments and Resultsmentioning

confidence: 99%

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

et al. 2011

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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, automate the analysis, and hence reduce the inherent intra-and inter-observer 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 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 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 neck width: p=0.43 and sac height: p=0.95 where found.. Conclusion:The proposed method allows the automated isolation of intracranial aneurysms, eliminating the inter-observer variability. In average, the computational cost of the automated method (2 min. 36 sec.) was similar to the time required by a manual operator (measurement by 3 clinicians: 2 min. 51 sec., manual isolation: 2 min. 21 sec.) but eliminating human interaction. The automated measurements are irrespective of the viewing angle, eliminating any bias or difference between observer criteria. Finally, the qualitative assessment of the results showed acceptable agreement between manually and automatically isolated aneurysms.

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The @neurIST project: towards understanding cerebral aneurysms

Abstract: By providing an integrated approach to alleviate the current fragmentation of relevant information, a novel data management system will have a major impact on the treatment of cerebral aneurisms.

Cited by 11 publications

References 8 publications

Comparison of steady-state and transient blood flow simulations of intracranial aneurysms

Comparison of steady-state and transient blood flow simulations of intracranial aneurysms

Automated intracranial aneurysm isolation and quantification

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

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