Cite

[1] Auer M., Gasser T.C., Reconstruction and finite element mesh generation of abdominal aortic aneurysms from computerized tomography angiography data with minimal user interactions, IEEE Transactions on Medical Imaging, 29, 2010, 1022-1028.10.1109/TMI.2009.2039579Search in Google Scholar

[2] Chan T.F., Vese L.A., Active Contours Without Edges, IEEE Transaction on Image Processing, 10, 2001, 266-277.10.1109/83.902291Search in Google Scholar

[3] Cloutier G., Zimmer A., Yu F.T., Chiasson J.L., Increased shear rate resistance and fastest kinetics of erythrocyte aggregation in diabetes measured with ultrasound, Diabetes care, 31, 2008, 1400-1402.10.2337/dc07-1802Search in Google Scholar

[4] Dasari P., Venkatesan B., Thyagarajan C., Balan S., Expectant and medical management of placenta increta in a primiparous woman presenting with postpartum haemorrhage: The role of Imaging, Journal of Radiology Case Reports, 4, 2010, 32-40.10.3941/jrcr.v4i5.343Search in Google Scholar

[5] Frangi F., Niessen W.J., Vincken K. L., Viergever M. A., Muliscale Vessel Enhancement Filtering, in: Proc. of MICCAI 1998, 1998, 130-137.10.1007/BFb0056195Search in Google Scholar

[6] Gijsen F.J., van de Vosse F.N., Janssen J.D., The influence of the non-Newtonian properties of blood on the flow in large arteries: steady flow in a carotid bifurcation model, Journal of Biomechanics, 32, 1999, 601-608.10.1016/S0021-9290(99)00015-9Open DOISearch in Google Scholar

[7] Gonzales R., Woods R., Digital Image Processing, Addison-Wesley, 1983.Search in Google Scholar

[8] Hoi Y., Meng H., Woodward S.H., Bendok B.R., Hanel R.A., Guterman L.R., Hopkins L.N., Effects of arterial geometry on aneurysm growth: three-dimensional computational fluid dynamics study, Journal of Neurosurgery, 101, 2004, 676-681.10.3171/jns.2004.101.4.067615481725Search in Google Scholar

[9] Klepaczko A., Szczypiński P., Dwojakowski G., Strzelecki M., Materka A., Computer simulation of magnetic resonance angiography imaging: Model description and validation, PLoS ONE, 9, 2014, DOI: 10.1371/journal.pone.0093689.10.1371/journal.pone.0093689398917724740285Open DOISearch in Google Scholar

[10]Lee J., Smith N.P., The multi-scale modelling of coronary blood flow, Ann Biomed Eng., 40, 2012, 2399-2413.10.1007/s10439-012-0583-7346378622565815Search in Google Scholar

[11]Lesage D., Angelini E.D., Bloch I., Funka-Lea G., A review of 3D vessel lumen segmentation techniques: models, features and extraction schemes, Medical image analysis, 13, 2009, 819-845.10.1016/j.media.2009.07.01119818675Search in Google Scholar

[12]Polanczyk A., Podyma M., Stefanczyk L., Szubert W., Zbicinski I., A 3D model of thrombus formation in a stent-graft after implantation in the abdominal aorta, Journal of Biomechanics, 48, 2015, 425-431.10.1016/j.jbiomech.2014.12.03325543277Search in Google Scholar

[13]Polanczyk A., Podyma M., Stefanczyk L., Zbicinski I., Effects of stent-graft geometry and blood hematocrit on hemodynamic in Abdominal Aortic Aneurysm, Chemical and Process Engineering, 33, 2012, 53-61.10.2478/v10176-012-0005-2Search in Google Scholar

[14]Polanczyk A., Podyma M., Trebinski L., Chrzastek J., Zbicinski I., Stefanczyk L., A Novel Attempt to Standardize Results of CFD Simulations Basing on Spatial Configuration of Aortic Stent-Grafts, PloS ONE, 2016, http://dx.doi.org/10.1371/journal.pone.0153332.10.1371/journal.pone.0153332483054027073907Open DOISearch in Google Scholar

[15]Sato Y., Nakajima S., Atsumi H., Koller T., Gerig G., Yoshida S., Kikinis R., 3D Multi-Scale Line Filter for Segmentation and Visualization of Curvilinear Structures in Medical Image, in: Proc. of CVRMed-MRCAS'97, 1997, Lecture Notes in Computer Science, 1205, 213-222.10.1007/BFb0029240Search in Google Scholar

[16]Strzelecki M., Szczypinski P., Materka A., Kocinski M., Sankowski A., Level-set segmentation of noisy 3D images of numerically simulated blood vessels and vascular trees, in: Proc. of 6th International Symposium on Image and Signal Processing and Analysis, 2009, 742-747.10.1109/ISPA.2009.5297641Search in Google Scholar

[17] Tadeusiewicz R., Śmietański J., Acquisition of Medical Images and their Processing, Analysis, Automatic Recognition and Diagnostic Interpretation [in Polish: Pozyskiwanie obrazów medycznych oraz ich przetwarzanie, analiza, automatyczne rozpoznawanie i diagnostyczna interpretacja], Wydawnictwo STN, Kraków, 2011.Search in Google Scholar

[18]Thierfelder J., Sommer K.M., Baumann W.H., Klotz A.B., Meinel E., Strobl F.G., Nikolaou F.F., Reiser K., von Baumgarten M.F., Whole-brain CT perfusion: reliability and reproducibility of volumetric perfusion deficit assessment in patients with acute ischemic stroke, Neuroradiology, 55, 2013, 827-835.10.1007/s00234-013-1179-023568701Open DOISearch in Google Scholar

[19]Valencia A., Figueroa H., Rivera R., Bravo E., Sensitivity analysis of fluid structure interaction in a cerebral aneurysm model to wall thickness and elastic modulus, Advances and Applications in Fluid Mechanics, 12, 2012, 49-66.Search in Google Scholar

[20]Waite L.F., Applied Biofluid Mechanics, McGraw-Hill Professional, New York, 2007.Search in Google Scholar

[21]Woźniak T., Strzelecki M., Segmentation of 3D magnetic resonance brain vessel images based on level set approaches, in: Proc. of IEEE SPA 2015, 2015, 56-61.10.1109/SPA.2015.7365133Search in Google Scholar

[22] Woźniak T., Strzelecki M., Stefańczyk L., Majos A., 3D vascular tree segmentation using a multiscale vesselness function and a level set approach, Biocybernetics and Biomedical Engineering, 37, 2017, 66-77.10.1016/j.bbe.2016.11.003Search in Google Scholar

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