158
K. Miller et al.
can be calculated before the simulation commences during the preprocessing stage
(see Chap. 10 of this book). Implementation of algorithms in parallel on networks
of processors and harnessing the computational power of graphics processing units
[11] provide a challenge for the coming years.
Acknowledgements The financial support of the Australian Research Council (Grants No.
DP0343112, DP0664534, DP1092893, DP120100402, DP160100714 and LX0560460), National
Health and Medical Research Council (Australia) (APP1006031, APP1144519, APP1162030) and
National Institutes of Health (Grant No. 1-RO3-CA126466-01A1) is gratefully acknowledged. We
thank our collaborators Dr. Ron Kikinis and Dr. Simon Warfield from Harvard Medical School and
Dr. Kiyoyuki Chinzei and Dr. Toshikatsu Washio from Surgical Assist Technology Group of AIST,
Japan, for the help in various aspects of our work.
The medical images used in the present study (provided by Dr. Simon Warfield) were obtained
in the investigation supported by a research grant from the Whitaker Foundation and by NIH grants
R21 MH67054, R01 LM007861, P41 RR13218 and P01 CA67165.
We thank Toyota Central R&D Labs. (Nagakute, Aichi, Japan) for providing the THUMS brain
model.
References
1. Wittek, A., Grosland, N.M., Joldes, G.R., Magnotta, V., Miller, K.: From finite element
meshes to clouds of points: a review of methods for generation of computational biomechanics models for patient-specific applications. Ann. Biomed. Eng. 44(1), 3–15 (2016)
2. Bucholz, R., MacNeil, W., McDurmont, L.: The operating room of the future. Clin.
Neurosurg. 51, 228–237 (2004)
3. Nakaji, P., Speltzer, R.F.: Innovations in surgical approach: the marriage of technique,
technology, and judgement. Clin. Neurosurg. 51, 177–185 (2004)
4. Roberts, D.W., Hartov, A., Kennedy, F.E., Miga, M.I., Paulsen, K.D.: Intraoperative brain shift
and deformation: a quantitative analysis of cortical displacement in 28 cases. Neurosurgery.
43, 749–758 (1998)
5. Ferrant, M., Nabavi, A., Macq, B., Black, P., Jolesz, F.A., Kikinis, R., Warfield, S.K.: Serial
registration of interoperative MR images of the brain. Med. Image Anal. 6(4), 337–359
(2002)
6. Warfield, S.K., Talos, F., Tei, A., Bharatha, A., Nabavi, A., Ferrant, M., Black, P.M., Jolesz,
F.A., Kikinis, R.: Real-time registration of volumetric brain MRI by biomechanical simulation
of deformation during image guided neurosurgery. Comput. Vis. Sci. 5, 3–11 (2002)
7. Warfield, S.K., Haker, S.J., Talos, F., Kemper, C.A., Weisenfeld, N., Mewes, A.U.J.,
Goldberg-Zimring, D., Zou, K.H., Westin, C.F., Wells III, W.M., Tempany, C.M.C., Golby,
A., Black, P.M., Jolesz, F.A., Kikinis, R.: Capturing intraoperative deformations: research
experience at Brigham and Women’s hospital. Med. Image Anal. 9(2), 145–162 (2005)
8. Wittek, A., Miller, K., Kikinis, R., Warfield, S.K.: Patient-specific model of brain deformation: application to medical image registration. J. Biomech. 40, 919–929 (2007)
9. Garlapati, R.R., Mostayed, A., Joldes, G.R., Wittek, A., Doyle, B., Miller, K.: Towards
measuring neuroimage misalignment. Comput. Biol. Med. 64, 12–23 (2015)
10. Mostayed, A., Garlapati, R.R., Joldes, G.R., Wittek, A., Roy, A., Kikinis, R., Warfield,
S.K., Miller, K.: Biomechanical model as a registration tool for image-guided neurosurgery:
evaluation against BSpline registration. Ann. Biomed. Eng. 41(11), 2409–2425 (2013)
11. Joldes, G.R., Wittek, A., Miller, K.: Real-time nonlinear finite element computations on
GPU - application to neurosurgical simulation. Comput. Methods Appl. Mech. Eng. 199(49–
52), 3305–3314 (2010)
K. Miller et al.
can be calculated before the simulation commences during the preprocessing stage
(see Chap. 10 of this book). Implementation of algorithms in parallel on networks
of processors and harnessing the computational power of graphics processing units
[11] provide a challenge for the coming years.
Acknowledgements The financial support of the Australian Research Council (Grants No.
DP0343112, DP0664534, DP1092893, DP120100402, DP160100714 and LX0560460), National
Health and Medical Research Council (Australia) (APP1006031, APP1144519, APP1162030) and
National Institutes of Health (Grant No. 1-RO3-CA126466-01A1) is gratefully acknowledged. We
thank our collaborators Dr. Ron Kikinis and Dr. Simon Warfield from Harvard Medical School and
Dr. Kiyoyuki Chinzei and Dr. Toshikatsu Washio from Surgical Assist Technology Group of AIST,
Japan, for the help in various aspects of our work.
The medical images used in the present study (provided by Dr. Simon Warfield) were obtained
in the investigation supported by a research grant from the Whitaker Foundation and by NIH grants
R21 MH67054, R01 LM007861, P41 RR13218 and P01 CA67165.
We thank Toyota Central R&D Labs. (Nagakute, Aichi, Japan) for providing the THUMS brain
model.
References
1. Wittek, A., Grosland, N.M., Joldes, G.R., Magnotta, V., Miller, K.: From finite element
meshes to clouds of points: a review of methods for generation of computational biomechanics models for patient-specific applications. Ann. Biomed. Eng. 44(1), 3–15 (2016)
2. Bucholz, R., MacNeil, W., McDurmont, L.: The operating room of the future. Clin.
Neurosurg. 51, 228–237 (2004)
3. Nakaji, P., Speltzer, R.F.: Innovations in surgical approach: the marriage of technique,
technology, and judgement. Clin. Neurosurg. 51, 177–185 (2004)
4. Roberts, D.W., Hartov, A., Kennedy, F.E., Miga, M.I., Paulsen, K.D.: Intraoperative brain shift
and deformation: a quantitative analysis of cortical displacement in 28 cases. Neurosurgery.
43, 749–758 (1998)
5. Ferrant, M., Nabavi, A., Macq, B., Black, P., Jolesz, F.A., Kikinis, R., Warfield, S.K.: Serial
registration of interoperative MR images of the brain. Med. Image Anal. 6(4), 337–359
(2002)
6. Warfield, S.K., Talos, F., Tei, A., Bharatha, A., Nabavi, A., Ferrant, M., Black, P.M., Jolesz,
F.A., Kikinis, R.: Real-time registration of volumetric brain MRI by biomechanical simulation
of deformation during image guided neurosurgery. Comput. Vis. Sci. 5, 3–11 (2002)
7. Warfield, S.K., Haker, S.J., Talos, F., Kemper, C.A., Weisenfeld, N., Mewes, A.U.J.,
Goldberg-Zimring, D., Zou, K.H., Westin, C.F., Wells III, W.M., Tempany, C.M.C., Golby,
A., Black, P.M., Jolesz, F.A., Kikinis, R.: Capturing intraoperative deformations: research
experience at Brigham and Women’s hospital. Med. Image Anal. 9(2), 145–162 (2005)
8. Wittek, A., Miller, K., Kikinis, R., Warfield, S.K.: Patient-specific model of brain deformation: application to medical image registration. J. Biomech. 40, 919–929 (2007)
9. Garlapati, R.R., Mostayed, A., Joldes, G.R., Wittek, A., Doyle, B., Miller, K.: Towards
measuring neuroimage misalignment. Comput. Biol. Med. 64, 12–23 (2015)
10. Mostayed, A., Garlapati, R.R., Joldes, G.R., Wittek, A., Roy, A., Kikinis, R., Warfield,
S.K., Miller, K.: Biomechanical model as a registration tool for image-guided neurosurgery:
evaluation against BSpline registration. Ann. Biomed. Eng. 41(11), 2409–2425 (2013)
11. Joldes, G.R., Wittek, A., Miller, K.: Real-time nonlinear finite element computations on
GPU - application to neurosurgical simulation. Comput. Methods Appl. Mech. Eng. 199(49–
52), 3305–3314 (2010)