Biomedical Engineering Reference
In-Depth Information
3. Skrinjar, O., Nabavi, A., Duncan, J.: Model-driven brain shift compensation. Med. Image
Anal. 6, 361-373 (2002)
4. Ferrant, M., Nabavi, A., Macq, B., Black, P.M., Jolesz, F.A., Kikinis, R., Warfield, S.K.: Serial
registration of intraoperative MR images of the brain. Med. Image Anal. 6(4), 337-359 (2002)
5. Clatz, O., Delingette, H., Bardinet, E., Dormont, D., Ayache, N.: Patient specific biomechani-
cal model of the brain: application to Parkinson's disease procedure. In International Sympo-
sium on Surgery Simulation and Soft Tissue Modeling (IS4TM'03). Juan-les-Pins, Springer,
Verlag, France (2003)
6. Hagemann, A., Rohr, K., Stiehl, H.S.: Coupling of fluid and elastic models for biomechanical
simulations of brain deformations using FEM. Med. Image Anal. 6(4), 375-388 (2002)
7. Miga, M.I., Sinha, T.K., Cash, D.M., Galloway, R.I., Weil, R.J.: Cortical surface registration
for image-guided neurosurgery using laser-range scanning. IEEE Trans. Med. Imaging 22(8),
973-985 (2003)
8. Wittek, A., Joldes, G.R., 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, 292-303 (2010)
9. Horton, A., Wittek, A., Joldes, G.R., Miller, K.: A meshless total lagrangian explicit dynamics
algorithm for surgical simulation. Int. J. Numer. Meth. Biomed. Eng. 26(8), 977-998 (2010).
doi:
10.1002/cnm.1374
10. Taylor, Z.A., Cheng, M., Ourselin, S.: High-Speed nonlinear finite element analysis for
surgical simulation using graphics processing units. IEEE Trans. Med. Imaging 27(5),
650-663 (2008)
11. Joldes, G.R., Wittek, A., Miller, K.: Real-time nonlinear finite element computations on GPU -
Application to neurosurgical simulation. Comput. Method. Appl. M. 199, 3305-3314 (2010)
12. Shams, R., Sadeghi, P., Kennedy, R.A., Hartley, R.I.: A survey of medical image registration
on multicore and the GPU. IEEE Signal Process. Mag. 27(2), 50-60 (2010)
13. Sun, H., Lunn, K.E., Farid, H., Ziji, W., Roberts, D.W., Hartov, A., Paulsen, K.D.: Stereopsis-
guided brain shift compensation. IEEE Trans. Med. Imaging 24(8), 1039-1052 (2005)
14. Sun, H., Farid, H., Rick, K., Hartov, A., Roberts, D.W., Paulsen, K.D.: Estimating cortical
surface motion using Stereopsis for brain deformation models, in Medical Image Computing
and Computer-Assisted Intervention—MICCAI 2003, pp. 794-801. Springer Berlin,
Heidelberg (2003)
15. Miller, K., Wittek, A., Joldes, G.R., Horton, A., Roy, T.D., Berger, J., Morriss, L.: Modelling
brain deformations for computer-integrated neurosurgery. Int. J. Numer. Meth. Biomed. Eng.
26(1), 117-138 (2010)
16. Amidror, I.: Scattered data interpolation methods for electronic imaging systems: A survey.
J. Electron. Imaging 11(2), 157-176 (2002)
