5.6 Conclusion
We have presented a method for three dimensional quantification of brain aneurysms for the purpose of surgical planning and the corresponding evaluation study. This study demonstrates the feasibility of using implicit deformable models combined with non-parametric statistical information to quantify aneurysm morphology and to obtain clinically relevant parameters. In summary, the technique presented in this work will contribute to the computerized surgical planning of coiling procedures by allowing more accurate and truly 3D quantification of brain aneurysms.
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Bibliography
Winn, H., Jane, J., Taylor, J., Kaiser, D., and Britz, G., Prevalence of asymptomatic incidental aneurysms: review of 4568 arteriograms, J. Neurosurg., Vol. 97, No. 1, p. 240, July 2002.
Huang, J. and van Gelder, J., The probability of sudden death from rupture of intracranial aneurysms: a meta-analysis, Neurosurgery, Vol. 51, No. 5, pp. 1101–5, Nov. 2002.
Hop, J., Rinkel, G., Algra, A., and van Gijn, J., Case-fatality rates and functional outcome after subarachnoid hemorrhage: a systematic review, Stroke, Vol. 28, pp. 660–664, 1997.
Raaymakers, T., Rinkel, G., Limburg, M., and Algra, A., Mortality and morbidity of surgery for unruptured intracranial aneurysms: a metaanalysis., Stroke, Vol. 29, No. 8, pp. 1531–8, Aug. 1998.
Spetzger, U., Rohde, V., and Gilsbach, J., Clips and coils in aneurysm treatment, Wien Med Wochenschr., Vol. 147, Nos. 7–8, pp. 172–7, 1997.
Murayama, Y., Nien, Y., Duckwiler, G., Gobin, Y., Jahan, R., Frazee, J., Martin, N., and Vinuela, F., Guglielmi detachable coil embolization of cerebral aneurysms: 11 years’ experience, J Neurosurg, Vol. 98, No. 5, pp. 959–66, May 2003.
Guglielmi, G., Vinuela, F., Spetka, I., and Macellari, V., Electrothrombosis of saccular aneurysms via endovascular approach, Neruosurgery, Vol. 75, No. 1, pp. 1–7, July 1991.
Debrun, G., Aletich, V., Kehrli, P., Misra, M., Ausman, J., Charbel, F., and Shownkeen, H., Aneurysm geometry: an important criterion in selecting patients for Guglielmi detachable coiling, Neuro. Med. Chir., Vol. 38, pp. 1–20, April 1998.
Anderson, G., Steinke, D., Petruk, K., Ashforth, R., and Findlay, J., Computed Tomographic Angiography versus Digital Subtraction Angiography for the diagnosis and early treatment of ruptured intracranial aneurysms, Neurosurgery, Vol. 45, No. 6, pp. 1315–20, Dec. 1999.
White, P., Teasdale, E., Wardlaw, J., and Easton, V., Intracranial aneurysms: CT angiography and MR angiography for detection prospective blinded comparison in a large patient cohort., Radiology, Vol. 219, No. 3, pp. 739–49, June 2001.
Loncaric, S. and Sorantin, M. S. E., 3-D deformable model for aortic aneurysm segmentation from CT images, Engineering in Medicine and Biology Society, 2000. In: Proceedings of the 22nd Annual International Conference of the IEEE, Vol. 1, pp. 398–401, July 2000.
Lorigo, L., Faugeras, O., Grimson, W., Keriven, R., Kikinis, R., and Westin, C., Co-dimension 2 Geodesic Active Contours for MRA Segmentation, Lecture Notes in Computer Science, Vol. 1613, pp. 126, 1999.
Lorigo, L., Faugeras, O., Grimson, W., Keriven, R., Kikinis, R., Nabavi, A., and Westin., C., CURVES: Curve evolution for vessel segmentation, Med. Image. Analysis, Vol. 5, No. 3, pp. 195–206, 2001.
van Bemmel, C., Spreeuwers, L., Viergever, M., and Niessen, W., Level-Set Based Carotid Artery Segmentation for Stenosis Grading, Medical Image Computing and Computer-Assisted Intervention (MICCAI 2002), Lecture Notes in Computer Science, Vol. 2489, pp. 36–43, 2002.
van Bemmel, C., Spreeuwers, L., Viergever, M., and Niessen, W., Level-Set-Based Artery-Vein Separation in Blood Pool Agent CE-MR angiograms, IEEE Transactions on Medical Imaging, Vol. 22, No. 10, pp. 1224–1234, Oct. 2003.
Deschamps, T., Extraction de courbes et surfaces par méthodes de chemins minimaux et ensembles de niveaux. Applications en imagerie medicale 3D, Ph.D. Thesis, University of Paris-Dauphine, France, 2001.
Frangi, A., Niessen, W., Vincken, K., and Viergever, M., Multiscale Vessel Enhancement Filtering, Lecture Notes in Computer Science, Vol. 1496, pp. 130–137, 1998.
Zhu, S. and Yuille, A., Region competition: unifying snakes, region growing, and Bayes/MDL for multiband image segmentation. In: IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 18, No. 9, pp. 884–900, 1996.
Paragios, N., Geodesic Active Regions and Level Set Methods: Contributions and Applications in Artificial Vision, Ph.D. Thesis, University of Nice Sophia-Antipolis, France, 2000.
Yezzi, A., Tsai, A., and Willsky, A., A statistical approach to snakes for bimodal and trimodal imagery, In: Proceedings of the Seventh IEEE International Conference on Computer Vision, Vol. 2, pp. 898–903, 1999.
Sato, Y., Nakajima, S., Shiraga, N., Atsumi, H., Yoshida, S., Koller, T., Gerig, G., and Kikinis, R., Three-dimensional multiscale line filter for segmentation and visualization of curvilinear structures in medical images, Med. Image Anal., Vol. 2, No. 2, pp. 143–168, 1998.
Dasarathy, B., Nearest Neighbor Pattern Classification Techniques, IEEE Computer Society Press, Los Alamitos, CA, 1990.
Duda, R., Stork, D., and Hart, P., Pattern Classification and Scene Analysis: Pattern Classification, John Wiley and Sons Inc., Chester, UK 2000.
Perona, P. and J. Malik, Scale-space and edge detection using anisotropic diffusion, IEEE Trans. Pattern Anal. Machine Intel., Vol. 12, No. 7, pp. 629–639, 1990.
Sapiro, G., Geometric Partial Differential Equations and Image Analysis, Cambridge University Press, Cambridge, 2001.
Teo, P., Sapiro, G., and Wandell, B., Segmenting cortical gray matter for functional MRI visualization, In: 6th Int. Conf. Comput. Vision, pp. 292–297, 1998
Caselles, V., Kimmel, R., and Sapiro, G., Geodesic Active Contours, Int. J. Comput. Vision, Vol. 22, No. 1, pp. 61–79, 1997.
Kass, M., Witkin, A., and Terzopoulos, D., Snakes: Active contour models, Int. J. Comput. Vision, Vol. 1, No. 4, pp. 321–331, 1988.
Osher, S. and Sethian, J., Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations, J. Comp. Phy, Vol. 79, pp. 12–49, 1988.
ANN library: http://www.cs.umd.edu/~mount/ANN.
Sethian, J., Level Set Methods and Fast Marching Methods, Cambridge University Press, Cambridge, 2000.
Osher, S. and Fedkiw, R., Level Set Methods and Dynamic Implicit Surfaces, Springer-Verlag, Berlin 2003.
Bland, J. and Altman, D., Statistical methods for assessing agreement between two methods of clinical measurement, Lancet, Vol. 8476, pp. 307–10, Feb. 1986.
Jain, A. and Chandrasekaran, B., Dimensionality and sample size considerations in pattern recognition practice, Handbook of Statistics, P. R. Krishnaiah and L. N. Kanal (Eds) Vol. 2, North Holland, pp. 835–855, 1982.
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Hernández, M., Frangi, A.F., Sapiro, G. (2005). Quantification of Brain Aneurysm Dimensions from CTA for Surgical Planning of Coiling Interventions. In: Suri, J.S., Wilson, D.L., Laxminarayan, S. (eds) Handbook of Biomedical Image Analysis. Topics in Biomedical Engineering International Book Series. Springer, Boston, MA. https://doi.org/10.1007/0-306-48608-3_5
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