The AneuRisk project is a a scientific endeavour that aimed at investigating the role of vessel morphology, blood fluid dynamics and biomechanical properties of the vascular wall, on the pathogenesis of cerebral aneurysms. The project has gathered together researchers of different scientific fields, ranging from neurosurgery and neuroradiology to statistics, numerical analysis and bio-engineering.
The project involved the MOX Laboratory for Modeling and Scientific Computing (Dipartimento di Matematica, Politecnico di Milano), Laboratory of Biological Structure Mechanics (Dipartimento di Ingegneria Strutturale, Politecnico di Milano), Istituto Mario Negri (Ranica), Ospedale Niguarda Ca’ Granda (Milano) and Ospedale Maggiore Policlinico (Milano), and has been supported by the Fondazione Politecnico di Milano and Siemens Medical Solutions Italia.
The benchmark dataset AneuRisk65 can be downloaded HERE. An increasing data warehouse is managed by the AneuRisk Web Repository.
Selected publications:
- Ettinger, B., Perotto, S., Sangalli, L.M. (2016), Spatial regression models over two-dimensional manifolds, Biometrika, 103 (1), 71-88.
- Sangalli, L.M., Secchi, P. and Vantini, S. (2014), AneuRisk65: three-dimensional cerebral vascular geometries, Electronic Journal of Statistics, 8 (2), 1879-1890.
- Sangalli, L.M., Secchi, P. and Vantini, S. (2014), Analysis of AneuRisk65 data: K-mean Alignment, Electronic Journal of Statistics, 8 (2), 1891-1904.
- Passerini, T., Sangalli, L.M., Vantini, S., Piccinelli, M., Bacigaluppi, S., Antiga, L., Secchi, P., Veneziani, A. (2012), An Integrated CFD-Statistical Investigation of Parent Vasculature of Cerebral Aneurysms, Cardiovascular Engineering and Technology, 3 (1), 26-40.
- Piccinelli, M., Bacigaluppi, S., Boccardi, E., Ene-Iordache, B., Remuzzi, A., Veneziani, A., Antiga, L. (2011), Influence of internal carotid artery geometry on aneurysm location and orientation: a computational geometry study, Neurosurgery, 68 (5), pp. 1270-1285.
- Sangalli, L.M., Secchi, P., Vantini, S., Vitelli, V. (2010), K-means alignment for curve clustering, Computational Statistics and Data Analysis, 54, pp. 1219-1233.
- Sangalli, L.M., Secchi, P., Vantini, S., Veneziani, A. (2009), A Case Study in Exploratory Functional Data Analysis: Geometrical Features of the Internal Carotid Artery, Journal of the American Statistical Association, 104 (485), pp. 37-48.
- Sangalli, L.M., Secchi, P., Vantini, S., Veneziani, A.(2009), Efficient estimation of three-dimensional curves and their derivatives by free knot regression splines, applied to the analysis of inner carotid artery centrelines, Journal of the Royal Statistical Society Ser. C, Applied Statistics, 58 (3), pp. 285-306.
- Piccinelli, M., Veneziani, A., Steinman, D.A., Remuzzi, A., Antiga, L. (2009), A framework for geometric analysis of vascular structures: Applications to cerebral aneurysms, IEEE Trans Biomed Imag, 28 (8), pp. 1141-1155.
PhD Thesis
- Passerini, T. (MOX, Politecnico di Milano, 2008)
- Vantini, S. (MOX, Politecnico di Milano, 2008)
- Socci, L. (LaBS, Politecnico di Milano, 2007)