6 Biomechanical Modelling of the Brain for Neurosurgical Simulation. . .
163
97. Wittek, A., Joldes, G., Couton, M., Warfield, S.K., Miller, K.: Patient-specific non-linear finite
element modelling for predicting soft organ deformation in real-time; application to non-rigid
neuroimage registration. Prog. Biophys. Mol. Biol. 103(2–3), 292–303 (2010)
98. Wittek, A., Hawkins, T., Miller, K.: On the unimportance of constitutive models in computing
brain deformation for image-guided surgery. Biomech. Model. Mechanobiol. 8(1), 77–84
(2009)
99. Joldes, G.R., Wittek, A., Miller, K.: Non-locking tetrahedral finite element for surgical
simulation. Commun. Numer. Methods Eng. 25(7), 827–836 (2009)
100. Grosland, N.M., Shivanna, K.H., Magnotta, V.A., Kallemeyn, N.A., DeVries, N.A., Tadepalli,
S.C., Lislee, C.: IA-FEMesh: an open-source, interactive, multiblock approach to anatomic
finite element model development. Comput. Methods Prog. Biomed. 94(1), 96–107 (2009)
101. Joldes, G.R., Wittek, A., Miller, K.: Cortical surface motion estimation for brain shift
prediction. In: Miller, K., Nielsen, P.M.F. (eds.) Computational Biomechanics for Medicine,
pp. 53–62. Springer, New York (2010)
102. Miller, K., Lu, J.: On the prospect of patient-specific biomechanics without patient-specific
properties of tissues. J. Mech. Behav. Biomed. Mater. 27, 154 (2013)
103. Joldes, G.R., Wittek, A., Miller, K., Morriss, L.: Realistic and efficient brain-skull interaction
model for brain shift computation. In: Miller, K., Nielsen, P.M.F. (eds.) Computational
Biomechanics for Medicine III. Springer, New York (2008)
104. Wittek, A., Omori, K.: Parametric study of effects of brain-skull boundary conditions and
brain material properties on responses of simplified finite element brain model under angular
acceleration impulse in sagittal plane. JSME Int. J. 46(4), 1388–1399 (2003)
105. Joldes, G.R., Wittek, A., Couton, M., Warfield, S.K., Miller, K.: Real-time prediction of brain
shift using nonlinear finite element algorithms. In: Yang, G.Z., Hawkes, D., Rueckert, D.,
Nobel, A., Taylor, C. (eds.) Medical Image Computing and Computer-Assisted Intervention -
Miccai 2009, Pt II, pp. 300–307. Springer, Berlin/Heidelberg (2009)
106. Miller, K., Chinzei, K.: Mechanical properties of brain tissue in tension. J. Biomech. 35(4),
483–490 (2002)
107. Sinkus, R., Tanter, M., Xydeas, T., Catheline, S., Bercoff, J., Fink, M.: Viscoelastic shear
properties of in vivo breast lesions measured by MR elastography. Magn. Reson. Imaging.
23(2), 159–165 (2005)
108. Joldes, G.R., Wittek, A., Miller, K.: Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation. Med. Image Anal. 13(6), 912–919
(2009)
109. Miller, K., Joldes, G., Lance, D., Wittek, A.: Total Lagrangian explicit dynamics finite element
algorithm for computing soft tissue deformation. Commun. Numer. Methods Eng. 23(2), 121–
134 (2007)
110. Miller, K., Joldes, G.R., Bourantas, G., Warfield, S.K., Hyde, D.E., Kikinis, R., Wittek,
A.: Biomechanical Modeling and Computer Simulation of the Brain during Neurosurgery.
arXiv:1904.01192 (2019)
111. Joldes, G.R., Wittek, A., Miller, K.: Computation of intraoperative brain shift using dynamic
relaxation. Comput. Methods Appl. Mech. Eng. 198(41–44), 3313–3320 (2009)
112. ABAQUS: Abaqus 6.14 Documentation. Rhode Island. USA (2018)
113. Fedorov, A., Billet, E., Prastawa, M., Gerig, G., Radmanesh, A., Warfield, S.K., Kikinis, R.,
Chrisochoides, N.: Evaluation of brain MRI alignment with the Robust Hausdorff Distance
Measures. In: Bebis, G. (ed.) Advances in Visual Computing, Pt I, pp. 594–603 (2008)
114. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach.
Intell. 8(6), 679–698 (1986)
115. Huttenlocher, D.P., Klanderman, G.A., Rucklidge, W.J.: Comparing images using the Hausdorff distance. IEEE Trans. Pattern Anal. Mach. Intell. 15(9), 850–863 (1993)
116. Fedorov, A., Beichel, R., Kalpathy-Cramer, J., Finet, J., Fillion-Robin, J.C., Pujol, S., Bauer,
C., Jennings, D., Fennessy, F., Sonka, M.: 3D slicer as an image computing platform for the
quantitative imaging network. Magn. Reson. Imaging. 30(9), 1323–1341 (2012)
163
97. Wittek, A., Joldes, G., Couton, M., Warfield, S.K., Miller, K.: Patient-specific non-linear finite
element modelling for predicting soft organ deformation in real-time; application to non-rigid
neuroimage registration. Prog. Biophys. Mol. Biol. 103(2–3), 292–303 (2010)
98. Wittek, A., Hawkins, T., Miller, K.: On the unimportance of constitutive models in computing
brain deformation for image-guided surgery. Biomech. Model. Mechanobiol. 8(1), 77–84
(2009)
99. Joldes, G.R., Wittek, A., Miller, K.: Non-locking tetrahedral finite element for surgical
simulation. Commun. Numer. Methods Eng. 25(7), 827–836 (2009)
100. Grosland, N.M., Shivanna, K.H., Magnotta, V.A., Kallemeyn, N.A., DeVries, N.A., Tadepalli,
S.C., Lislee, C.: IA-FEMesh: an open-source, interactive, multiblock approach to anatomic
finite element model development. Comput. Methods Prog. Biomed. 94(1), 96–107 (2009)
101. Joldes, G.R., Wittek, A., Miller, K.: Cortical surface motion estimation for brain shift
prediction. In: Miller, K., Nielsen, P.M.F. (eds.) Computational Biomechanics for Medicine,
pp. 53–62. Springer, New York (2010)
102. Miller, K., Lu, J.: On the prospect of patient-specific biomechanics without patient-specific
properties of tissues. J. Mech. Behav. Biomed. Mater. 27, 154 (2013)
103. Joldes, G.R., Wittek, A., Miller, K., Morriss, L.: Realistic and efficient brain-skull interaction
model for brain shift computation. In: Miller, K., Nielsen, P.M.F. (eds.) Computational
Biomechanics for Medicine III. Springer, New York (2008)
104. Wittek, A., Omori, K.: Parametric study of effects of brain-skull boundary conditions and
brain material properties on responses of simplified finite element brain model under angular
acceleration impulse in sagittal plane. JSME Int. J. 46(4), 1388–1399 (2003)
105. Joldes, G.R., Wittek, A., Couton, M., Warfield, S.K., Miller, K.: Real-time prediction of brain
shift using nonlinear finite element algorithms. In: Yang, G.Z., Hawkes, D., Rueckert, D.,
Nobel, A., Taylor, C. (eds.) Medical Image Computing and Computer-Assisted Intervention -
Miccai 2009, Pt II, pp. 300–307. Springer, Berlin/Heidelberg (2009)
106. Miller, K., Chinzei, K.: Mechanical properties of brain tissue in tension. J. Biomech. 35(4),
483–490 (2002)
107. Sinkus, R., Tanter, M., Xydeas, T., Catheline, S., Bercoff, J., Fink, M.: Viscoelastic shear
properties of in vivo breast lesions measured by MR elastography. Magn. Reson. Imaging.
23(2), 159–165 (2005)
108. Joldes, G.R., Wittek, A., Miller, K.: Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation. Med. Image Anal. 13(6), 912–919
(2009)
109. Miller, K., Joldes, G., Lance, D., Wittek, A.: Total Lagrangian explicit dynamics finite element
algorithm for computing soft tissue deformation. Commun. Numer. Methods Eng. 23(2), 121–
134 (2007)
110. Miller, K., Joldes, G.R., Bourantas, G., Warfield, S.K., Hyde, D.E., Kikinis, R., Wittek,
A.: Biomechanical Modeling and Computer Simulation of the Brain during Neurosurgery.
arXiv:1904.01192 (2019)
111. Joldes, G.R., Wittek, A., Miller, K.: Computation of intraoperative brain shift using dynamic
relaxation. Comput. Methods Appl. Mech. Eng. 198(41–44), 3313–3320 (2009)
112. ABAQUS: Abaqus 6.14 Documentation. Rhode Island. USA (2018)
113. Fedorov, A., Billet, E., Prastawa, M., Gerig, G., Radmanesh, A., Warfield, S.K., Kikinis, R.,
Chrisochoides, N.: Evaluation of brain MRI alignment with the Robust Hausdorff Distance
Measures. In: Bebis, G. (ed.) Advances in Visual Computing, Pt I, pp. 594–603 (2008)
114. Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach.
Intell. 8(6), 679–698 (1986)
115. Huttenlocher, D.P., Klanderman, G.A., Rucklidge, W.J.: Comparing images using the Hausdorff distance. IEEE Trans. Pattern Anal. Mach. Intell. 15(9), 850–863 (1993)
116. Fedorov, A., Beichel, R., Kalpathy-Cramer, J., Finet, J., Fillion-Robin, J.C., Pujol, S., Bauer,
C., Jennings, D., Fennessy, F., Sonka, M.: 3D slicer as an image computing platform for the
quantitative imaging network. Magn. Reson. Imaging. 30(9), 1323–1341 (2012)