Performance of Assessment Tool for Preoperative Planning of Brain Tumor Resection

Authors

  • Dr. V. K. Narendira Kumar  Assistant Professor, Department of Computer Science, Gobi Arts & Science College (Autonomous), Gobichettipalayam, Erode District, Tamil Nadu, India
  • G. Prabhu  Asstistant Professor, Department of Information Technology, Gobi Arts & Science College (Autonomous), Gobichettipalayam, Erode District, Tamil Nadu, India
  • N. Geetha  Asstistant Professor, Department of Information Technology, Gobi Arts & Science College (Autonomous), Gobichettipalayam, Erode District, Tamil Nadu, India
  • R. Santhosh  Assistant Professor, Department of Computer Science, Gobi Arts & Science College (Autonomous), Gobichettipalayam, Erode District, Tamil Nadu, India

DOI:

https://doi.org//10.32628/IJSRSET196134

Keywords:

Brain Shift, Patient Positioning, Tumor Resection, Finite Elements.

Abstract

A patient precise finite constituent biphasic brain model has be making use of to codify a surgeon's experience by establishing quantifiable biomechanical measures to achieve orientations for optimal preparation of brain tumor resection. When faced by means of evaluating more than a few potential approaches to tumor removal during preoperative planning, the objective of this exertion is to make easy the surgeon’s selection of a patient head orientation such that tumor presentation and resection is help by means of positive brain shift conditions rather than trying to allay confounding ones. Displacement-based procedures consisting of region classification of the brain surface shifting in the craniotomy region and lateral displacement of the tumor center relative to an approach vector distinct by the surgeon were calculated over a variety of orientations and second-hand to form an objective function. For a frontal lobe tumor presentation, the reproduction predicts an perfect orientation that point to s the patient should be positioned in a on the side deceits place on the side contra lateral to the tumor in arrange to minimize unfavorable brain shift.

References

  1. T. Hartkens, D. L. G. Hill, A. D. Castellano-Smith, D. J. Hawkes, C. R. Maurer, A. J. Martin, W. A. Hall, H. Liu, and C. L. Truwit. Measurement and analysis of brain deformation during neurosurgery. IEEE Transactions on Medical Imaging, 22(1):82–92, January 2003.
  2. C. Nimsky, O. Ganslandt, S. Cerny, P. Hastreiter, G. Greiner, and R. Fahlbusch. Quantification of, visualization of, and compensation for brain shift using intraoperative magnetic resonance imaging. Neurosurgery, 47(5):1070–1079, 2000.
  3. A. Nabavi, P. M. Black, D. T. Gering, C. F. Westin, V. Mehta, R. S. Pergolizzi, M. Ferrant, S. K. Warfield, N. Hata, R. B. Schwartz, W. M. Wells, R. Kikinis, and F. A. Jolesz. Serial intraoperative magnetic resonance imaging of brain shift. Neurosurgery, 48(4):787–797, 2001.
  4. D. W. Roberts, A. Hartov, F. E. Kennedy, M. I. Miga, and K. D. Paulsen. Intraoperative brain shift and deformation: A quantitative analysis of cortical displacement in 28 cases. Neurosurgery, 43(4):749–758, 1998.
  5. K. Ha, P. Dumpuri, M. I. Miga, R. C. Thompson, “Modeling surgical procedures to assist in understanding surgical approach”, Medical Imaging 2007: Visualization and Image-Guided Procedures: Proc. of the SPIE, (in press), 2007
  6. P. Dumpuri, R. C. Thompson, A. Cao, S. Ding, I. Garg, B. M. Dawant, and M. I. Miga, “A fast efficient method to compensate for brain shift for tumor resection therapies measured between preoperative and postoperative tomograms”, IEEE Transactions on Biomedical Engineering, (in press), 2009
  7. P. Dumpuri, R. C. Thompson, B. M. Dawant, A. Cao, M. I. Miga, “An atlas-based method to compensate for brain shift: Preliminary results”, Medical Image Analysis, Vol. 11, No. 2., pp.128-145, 2007
  8. M.A. Biot. “General theory of three-dimensional consolidation”. J.Appl.Phys., 12:155–164, Feb 1941.
  9. M. I. Miga, K. D. Paulsen, J. M. Lemery, S. D. Eisner, A. Hartov, F. E. Kennedy, and D. W. Roberts. “Model updated image guidance: Initial clinical experiences with gravity-induced brain deformation”. IEEE Transactions on Medical Imaging, 18(10):866–874, 1999.
  10. M. I. Miga, D. W. Roberts, A. Hartov, S. Eisner, J. Lemery, F. E. Kennedy, and K. D. Paulsen. “Updated neuro imaging using intra operative brain modeling and sparse data”. Stereotactic and Functional Neurosurgery, 72(2- 4):103–106, 1999.
  11. M. I. Miga, K. D. Paulsen, P. J. Hoopes, F. E. Kennedy, A. Hartov, and D. W. Roberts. “In vivo quantification of a homogeneous brain deformation model for updating preoperative images during surgery”. IEEE Transactions on Biomedical Engineering, 47(2):266–273, 2000.
  12. M. I. Miga, D. W. Roberts, F. E. Kennedy, L. A. Platenik, A. Hartov, K. E. Lunn, and K. D. Paulsen. “Modeling of retraction and resection for intra operative updating of images. Neurosurgery”, 49(1):75–84, 2001.
  13. Nagashima T, Shirakuni T, Rapoport S: “A two-dimensional, finite element analysis of vasogenic brain edema,” Neurol Med Chir 30:1-9, 1990
  14. M. I. Miga. “Development and quantification of a 3D brain deformation model for model-updated image-guided stereotactic neurosurgery”. PhD thesis, Thayer school of Engineering, Dartmouth College, September 1998.
  15. K.D. Paulsen, M.I. Miga, F.E. Kennedy, P.J. Hoopes, A. Hartov, and D.W. Roberts. “A computational model for tracking subsurface tissue deformation during stereotactic neurosurgery”. IEEE Trans. Biomed. Eng, 46(2):213–225, Feb 1999.
  16. M. I. Miga, K. D. Paulsen, F. E. Kennedy, P. J. Hoopes, A. Hartov, and D. W. Roberts. “Initial in-vivo analysis of 3D heterogeneous brain computations for model-updated image-guided Neurosurgery”. Medical Image Computing and Computer-Assisted Intervention 1998: Lecture Notes in Computer Science, Springer Verlag, New York, 1496, pp.743- 752, 1998.
  17. V.K. Narendira Kumar et al, “MRI of the Brain in Moving Subjects Application to Fetal, Neonatal and Adult Brain”,International Journal of Information Technology and Computer Science, ISSN No. 2074-9007 (print), ISSN No. 2074-9015 (online), Page No. 44-50, Vol.: 4, No.: 10, September -2012.
  18. V.K. Narendira Kumar et al, “3D Brain Tumors and Internal Brain Structures Segmentation in MR Images”, International Journal of Image, Graphics and Signal Processing, ISSN No. 2074-9074 (print), ISSN No. 2074-9082 (online), Page No. 35-43, Vol.: 4, No.: 1, February - 2012.
  19. V.K. Narendira Kumar et al, “Segmentation of Striatal Brain Structures from High Resolution Pet Images”, International Journal of Computational Intelligence Research, ISSN No. 0973-1873 (print), Page No. 51-62, Vol.: 7, No.: 1, 2011.

International Journal of Scientific Research in Science, Engineering and Technology

Downloads

Published

2019-01-31

Issue

Volume 6, Issue 1, January-February-2019

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. V. K. Narendira Kumar, G. Prabhu, N. Geetha, R. Santhosh, " Performance of Assessment Tool for Preoperative Planning of Brain Tumor Resection, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 1, pp.150-164, January-February-2019. Available at doi : https://doi.org/10.32628/IJSRSET196134