Patient Specific Modelling

Patient specific modelling (PSM) is concerned with the integration of data from the patient with computational modelling. The process may be imagined as a black box in which computational modelling occurs. Data from the patient is fed into the box and different types of data are outputted from the box. In the context of this book computational modelling refers to modelling of physical phenomena, mainly mechanical and electromagnetic forces. Similarly inputs to computational modelling are concerned with physical phenomena; medical imaging data provides information on geometry and motion, data is provided on electrical activity from electrophysiological recordings.

[1]  R D Kamm,et al.  Effects of fibrous cap thickness on peak circumferential stress in model atherosclerotic vessels. , 1992, Circulation research.

[2]  Freddie D. Witherden,et al.  PyFR: An open source framework for solving advection-diffusion type problems on streaming architectures using the flux reconstruction approach , 2013, Comput. Phys. Commun..

[3]  J Swedenborg,et al.  Biomechanical rupture risk assessment of abdominal aortic aneurysms: model complexity versus predictability of finite element simulations. , 2010, European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery.

[4]  C. Putman,et al.  Quantitative Characterization of the Hemodynamic Environment in Ruptured and Unruptured Brain Aneurysms , 2010, American Journal of Neuroradiology.

[5]  M. Webster,et al.  Wall stress distribution on three-dimensionally reconstructed models of human abdominal aortic aneurysm. , 2000, Journal of vascular surgery.

[6]  Colin Berry,et al.  MRI using ultrasmall superparamagnetic particles of iron oxide in patients under surveillance for abdominal aortic aneurysms to predict rupture or surgical repair: MRI for abdominal aortic aneurysms to predict rupture or surgery—the MA3RS study , 2015, Open Heart.

[7]  M. Turner.  Stiffness and Deflection Analysis of Complex Structures , 1956 .

[8]  Jerry L Prince,et al.  Image Segmentation Using Deformable Models , 2000 .

[9]  Charles A. Taylor,et al.  Patient-Specific Modeling of Blood Flow and Pressure in Human Coronary Arteries , 2010, Annals of Biomedical Engineering.

[10]  Alejandro F. Frangi,et al.  Patient-Specific Computational Hemodynamics of Intracranial Aneurysms from 3D Rotational Angiography and CT Angiography: An In Vivo Reproducibility Study , 2011, American Journal of Neuroradiology.

[11]  R. Kamm,et al.  Distribution of Circumferential Stress in Ruptured and Stable Atherosclerotic Lesions A Structural Analysis With Histopathological Correlation , 1993, Circulation.

[12]  F. Mut,et al.  Association of Hemodynamic Characteristics and Cerebral Aneurysm Rupture , 2011, American Journal of Neuroradiology.

[13]  Steven C. Chapra,et al.  Numerical Methods for Engineers , 1986 .

[14]  Martin J Graves,et al.  Stress analysis of carotid plaque rupture based on in vivo high resolution MRI. , 2006, Journal of biomechanics.

[15]  E. Rybicki,et al.  On the mathematical analysis of stress in the human femur. , 1972, Journal of biomechanics.

[16]  G. V. R. Born,et al.  INFLUENCE OF PLAQUE CONFIGURATION AND STRESS DISTRIBUTION ON FISSURING OF CORONARY ATHEROSCLEROTIC PLAQUES , 1989, The Lancet.

[17]  David A. Steinman,et al.  An image-based modeling framework for patient-specific computational hemodynamics , 2008, Medical & Biological Engineering & Computing.

[18]  P. Serruys,et al.  Evaluation of endothelial shear stress and 3D geometry as factors determining the development of atherosclerosis and remodeling in human coronary arteries in vivo. Combining 3D reconstruction from angiography and IVUS (ANGUS) with computational fluid dynamics. , 1997, Arteriosclerosis, thrombosis, and vascular biology.

[19]  O. C. Zienkiewicz,et al.  The birth of the finite element method and of computational mechanics , 2004 .

[20]  O. C. Zienkiewicz,et al.  The Finite Element Method: Its Basis and Fundamentals , 2005 .

[21]  J. Gunn,et al.  Computational fluid dynamics modelling in cardiovascular medicine , 2015, Heart.

[22]  Charles A. Taylor,et al.  Patient-specific modeling of cardiovascular mechanics. , 2009, Annual review of biomedical engineering.

[23]  Frits Mastik,et al.  An Inverse Method for Imaging the Local Elasticity of Atherosclerotic Coronary Plaques , 2008, IEEE Transactions on Information Technology in Biomedicine.

[24]  R. Thresher,et al.  The stress analysis of human teeth. , 1973, Journal of biomechanics.

[25]  Alejandro F. Frangi,et al.  Automated segmentation of cerebral vasculature with aneurysms in 3DRA and TOF-MRA using geodesic active regions: an evaluation study. , 2010, Medical physics.

[26]  David Barber,et al.  Acquisition of 3-D arterial geometries and integration with computational fluid dynamics. , 2009, Ultrasound in medicine & biology.

[27]  R Greene,et al.  Computation of vascular flow dynamics from intravascular ultrasound images. , 1996, Medical engineering & physics.

[28]  Roy C. P. Kerckhoffs,et al.  Current progress in patient-specific modeling , 2010, Briefings Bioinform..

[29]  J S Chen,et al.  A method for in-vivo analysis for regional arterial wall material property alterations with atherosclerosis: preliminary results. , 2003, Medical engineering & physics.

[30]  C. R. Ethier,et al.  A characteristic/finite element algorithm for the 3-D Navier–Stokes equations using unstructured grids , 1999 .

[31]  T. Kenner,et al.  Calculation of pulsatile flow and particle paths in an aneurysm-model , 1984, Basic Research in Cardiology.

[32]  D A Vorp,et al.  Mechanical properties and microstructure of intraluminal thrombus from abdominal aortic aneurysm. , 2001, Journal of biomechanical engineering.

[33]  Karol Miller,et al.  A simple, effective and clinically applicable method to compute abdominal aortic aneurysm wall stress. , 2016, Journal of the mechanical behavior of biomedical materials.

[34]  M H Friedman,et al.  Numerical simulation of aortic bifurcation flows: the effect of flow divider curvature. , 1984, Journal of biomechanics.

[35]  Marco Attene,et al.  ReMESH: An Interactive Environment to Edit and Repair Triangle Meshes , 2006, IEEE International Conference on Shape Modeling and Applications 2006 (SMI'06).

[36]  P R Hoskins,et al.  Three-dimensional imaging and computational modelling for estimation of wall stresses in arteries. , 2009, The British journal of radiology.

[37]  W A Wall,et al.  Prestressing in finite deformation abdominal aortic aneurysm simulation. , 2009, Journal of biomechanics.

[38]  Katharine H Fraser,et al.  A method to estimate wall shear rate with a clinical ultrasound scanner. , 2008, Ultrasound in medicine & biology.

[39]  Alejandro F Frangi,et al.  Intra-Aneurysmal Pressure and Flow Changes Induced by Flow Diverters: Relation to Aneurysm Size and Shape , 2013, American Journal of Neuroradiology.

[40]  Hao Gao,et al.  Study of carotid arterial plaque stress for symptomatic and asymptomatic patients. , 2011, Journal of biomechanics.

[41]  P. Blanco,et al.  On the potentialities of 3D-1D coupled models in hemodynamics simulations. , 2009, Journal of biomechanics.

[42]  Karol Miller,et al.  On the prospect of patient-specific biomechanics without patient-specific properties of tissues. , 2013, Journal of the mechanical behavior of biomedical materials.

[43]  George Em Karniadakis,et al.  A triangular spectral element method; applications to the incompressible Navier-Stokes equations , 1995 .