Effect on the Reconstruction of Blood Vessel Geometry to the Thresholds Image Intensity Level for Patient Aneurysm

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Thresholding is the greenest and most generally used techniques in image segmentation. This threshold determination can be used to extract various features of the vascular geometry that is used for understanding and analyzing of the image. Our objective is to investigate the influence of the modernization of blood vessel geometry to the threshold image intensity level difference in vessel segmentation. This study included a patient with cerebral aneurysms. We employed three different threshold levels from 200, 400 and 600 in order to determine the influence of the threshold objectively. The flow solution variation on exemplified by wall shear stress (WSS) presents similarity due to the location and magnitude of geometry variation resulting from the different threshold image intensity level and relatively small changes can lead to important dissimilarity in geometry of vessel and flow feature, predominantly in location with an enormous variety of cross sectional area. This is the significance of the understanding of modeling computational simulations of blood flow and can be expressively effected by alterations in geometry different.

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89-95

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March 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Antiga, L., Piccinelli, M., Botti, L., Ene-Iordache, B., Remuzzi, A., Steinman, D.A., 2008. An image-based modeling framework for patient-specific computational hemo- dynamics. Medical and Biological Engineering and Computing 46, 1097–1112.

DOI: 10.1007/s11517-008-0420-1

Google Scholar

[2] Cebral, J.R., Castro, M.A., Appanaboyina, S., Putman, C.M., Millan, D., Frangi, A.F., 2005. Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity. IEEE Transactions on Medical Imaging 24, 457–467.

DOI: 10.1109/tmi.2005.844159

Google Scholar

[3] Chang, H.H., Duckwiler, G.R., Valentine, D.J., Chu, W.C., 2009. Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for compu- tational fluid dynamics modeling. Medical Physics 36, 5612–5621.

DOI: 10.1118/1.3260841

Google Scholar

[4] Hassan, T., Timofeev, E.V., Saito, T., Shimizu, H., Ezura, M., Matsumoto, Y., Takayama, K., Tominaga, T., Takahashi, A., 2005. A proposed parent vessel geometry-based categorization of saccular intracranial aneurysms: computa- tional flow dynamics analysis of the risk factors for lesion rupture. Journal of Neurosurgery 103, 662–680.

DOI: 10.3171/jns.2005.103.4.0662

Google Scholar

[5] Metcalfe, R.W., 2003. The promise of computational fluid dynamics as a tool for delineating therapeutic options in the treatment of aneurysms. American Journal of Neuroradiology 24, 553–554.

Google Scholar

[6] Moore, J.A., Steinman, D.A., Ethier, C.R., 1997. Computational blood flow model- ling: errors associated with reconstructing finite element models from magnetic resonance images. Journal of Biomechanics 31, 179–184.

DOI: 10.1016/s0021-9290(97)00125-5

Google Scholar

[7] Omodaka, S, Inoue, T., 2012. Influence of surface model extraction parameter on computational fluid dynamic modeling of cerebral aneurysms, Journal of Biomechanics, 45, 2355-2361.

DOI: 10.1016/j.jbiomech.2012.07.006

Google Scholar

[8] Rayz, V.L., Boussel, L., Acevedo-Bolton, G., Martin, A.J., Young, W.L., Lawton, M.T., Higashida, R., Saloner, D., 2008. Numerical simulations of flow in cerebral aneurysms: comparison of CFD results and in vivo MRI measurements. Journal of Biomechanical Engineering 130, 051011.

DOI: 10.1115/1.2970056

Google Scholar

[9] Yim, P.J., Vasbinder, B., Ho, V.B., Choyke, P.L., 2002. A deformable isosurface and vascular applications. Progress in biomedical optics and imaging 3, 1390–1397.

DOI: 10.1117/12.467104

Google Scholar

[10] Venugopal, P., Valentino, D., Schmitt, H., Villablanca, J.P., Vinuela, F., Duckwiler, G., 2007. Sensitivity of patient-specific numerical simulation of cerebal aneurysm hemody- namics to inflow boundary conditions. Journal of Neurosurgery 106, 1051–1060.

DOI: 10.3171/jns.2007.106.6.1051

Google Scholar