Bibliography - Computational Hemodynamics: Theory, Modelling and Applications - page 334

Nichols W, O'Rourke M, Vlachopoulos C (2011) McDonald's blood flow in arteries, 6th edn.
Theoretical, experimental and clinical principles. CRC Press Taylor & Francis Florida,
ISBN:978034098501, P 768
O'Rourke RA, Brundage BH, Froelicher VF, Greenland P, Grundy SM, Hachamovitch R, Pohost
GM, Shaw LJ, Weintraub WS, Winters WL (2000) American college of cardiology/American
heart association expert consensus document on electron-beam computed tomography for the
diagnosis and prognosis of coronary artery disease. Circulation 102:126-140
Ojha M (1993) Spatial and temporal variations of wall shear stress within an end-to-side arterial
anastomosis model. J Biomech 26:1377-1388
Paz M, Leigh WE (2004) Structural Dynamics: theory and computation, updated with SAP2000.
Kluwer Academic Publishers, Springer Science and Business New York, ISBN: 978-1-4613-
5098-9, P 812
Peacock J, Hankins S, Jones T, Lutz R (1995) Flow instabilities induced by coronary artery stents:
assessment with an in vitro pulse duplicator. J Biomech Eng 28:17-26
Perktold K, Peter RO, Resch M, Langs G (1991) Pulsatile non-Newtonian blood flow in three-
dimensional carotid bifurcation models: a numerical study of flow phenomena under different
bifurcation angles. J Biomech Eng 13:507-515
Peters TM, Collins DL, Evans AC (1993) Image segmentation and 3-D applications. In: Sprawls P,
Bronskill MJ (eds) The Physics of MRI: 1992 AAPM Summer School Proceedings. American
Association of Physicists in Medicine by the American Institute of Physics, Woodbury, NY,
pp 607-646
Pham DL, Xu C, Prince JL (2000) A survey of current methods in medical image segmentation.
Annu Rev Biomed Eng 2:315-338
Philips Medical Systems Clinical Education (1984) Basic principles of MR imaging. http://theon-
linelearningcenter.com/Catalog/Product.aspx?mid=2249. Accessed 20 March 2014
Plank MJ, Comerford A, Wall DJN, David T (2007) Modelling the early stages of atherosclerosis.
In: Mathematical modeling of biological systems, vol. I, Modeling and Simulation in Science,
Engineering and Technology 2007, pp 263-274
Popel AS, Johnson PC (2005) Microcirculation and Hemorheology. Annu Rev Fluid Mech 37:43-69
Powell AJ, Maier SE, Chung T, Geva T (2000) Phase-velocity cine magnetic resonance imaging
measurement of pulsatile blood flow in children and young adults: in vitro and in vivo valida-
tion. Pediatr Cardiol 21:104-110
Pries AR, Neuhaus D, Gaehtgens P (1992) Blood viscosity in tube flow: dependence on diameter
and hematocrit. Am J Physiol Heart Circ Physiol 263:1770-1778
Pries AR, Secomb TW, Gaehtgens P (1995) Design principles of vascular beds. Circ Res 77:1017-
1023
Qiao A, Yin W, Chu B (2014) Numerical simulation of fluid-structure interaction in bypassed De-
Bakey III aortic dissection. Comput Methods Biomech Biomed Engin 18:1173-1180
Raback P, Ruokolainen J, Lyly M, Järvinen E (2001) Fluid-structure interaction boundary con-
ditions by artificial compressibility. ECCOMAS Computational Fluid Dynamics Conference
2001, Swansea, Wales, UK, 4-7 September 2001
Rahimian A, Lashuk I, Veerapaneni S, Chandramowlishwaran A, Malhotra D, Moon L, Sampath
R, Shringarpure A, Vetter J, Vuduc R, Zorin D, Biros G (2010) Petascale direct numerical
simulation of blood flow on 200k cores and heterogeneous architectures, in Proceedings of
the 2010 ACM/IEEE International Conference for High Performance Computing, Networking,
Storage and Analysis, IEEE Computer Society, pp 1-11
Reasor DA, Clausen JR, Aidun CK (2012) Coupling the lattice-Boltzmann and spectrin-link meth-
ods for the direct numerical simulation of cellular blood flow. Int J Numer Methods Fluids
68:767-781
Reddy JN (2013) An introduction to continuum mechanics. Cambridge University Press, New
York, ISBN: 9781107025431, P 470
Regan M, Sheppard S (1996) Interactive multimedia courseware and the hands-on learning experi-
ence: an assessment study. J Eng Educ 85:123-131