Radiation Exposure Analysis in 3D Cancer Treatment

Dmitriy Dubovitskiy, Valeri Kouznetsov

2016

Abstract

Dosimetry in the process of treatment of cancer tumour by ionising radiation. It is important and sometimes very challenging due to the fact that it is necessary to measure the radiation dose in vivo on small areas on the surface of the composite relief. Recently, in order to reduce the radiation dose to healthy tissues and concentration of the therapeutic effect of radiation directly on the tumour application method of three-dimensional (3D) irradiation started, in which radiation beams enter the body from different directions concentrating on the tumour. New methods of treatment correspondingly require more precise and sophisticated methods of dosimetry. Existing methods of 3D dose measurement are highly labor-intensive and generally suffer from low accuracy. In this paper, we propose the technical method of 3D measurement of the dose in real-time and approaches to build volume model of the dose distribution inside the patient’s body using object recognition technique.

References

  1. Soubra, M., Cygler, J. and Mackay, G.F. (1984). Evaluation of a Dual Metal Oxide-Silicon Semiconductor Field Effect Transistor Detector as a Radiation Dosimeter. Med. Phys. , 21 (4) April.
  2. Yves De Deene, Andrew Jirasek (2008). Uncertainty in 3D gel dosimetry, 8th International Conference on 3D Radiation Dosimetry (IC3DDose). Journal of Physics: Conference Series 573 (2015) 01.
  3. Karthikeyan Nithiyanantham, Ganesh K. Mani, Vikraman Subramani, Lutz Mueller, Karrthick K. Palaniappan, Tejinder Kataria (2015). Analysis of direct clinical consequences of MLC positional errors in volumetricmodulated arc therapy using 3D dosimetry system. Journal of Applied Clinical Medical Physics Vol 16 No 5.
  4. Ma T. P., Dressendorfer P. V. (1989). Ionizing radiation effects in MOS devices and circuits. New York: Wiley Interscience.
  5. Kohler, Ross A., Kushner, R.A., (1988). Total dose radiation hardness of MOS devices in hermetic ceramic packages. Nuclear Science, IEEE Transactions on (Volume:35 ,Issue: 6) .
  6. S. Kaschieva (1994). Improving the radiation hardness of MOS structures. International Journal of Electronics Volume 76,Issue 5.
  7. Claeys, C.,Simoen, Eddy (2002). Radiation Effects in Advanced Semiconductor Materials and Devices. Springer Science and Business Media, Aug 21.
  8. G Meurant (1999). New Insulators Devices and Radiation Effects. 1st Edition, Print book ISBN 9780444818010, Holland.
  9. A. Sathish Kumar, S. D. Sharma, and B. Paul Ravindran (2014). Characteristics of mobile MOSFET dosimetry system for megavoltage photon beams. J Med Phys. Jul-Sep; 39(3): 142?149.
  10. A. Gopidaj, Ramesh S. Billima GGA, Velayudham Ramasubramanian (2008). Performance characteristics and commissioning of MOSFET as an in-vivo dosimeter for high energy photon external beam radiation therapy. Reports of Practical Oncology and Radiotherapy, Volume 13, Issue 3, Pages 114-125.
  11. Bo-Young Choe (2013). Dosimetric Characteristics of Standard and Micro MOSFET Dosimeters as In-vivo Dosimeter for Clinical Electron Beam. Journal- Korean Physical Society., 03/2013; 55:2566-2570.
  12. Briere TM, et al. (2005). In vivo dosimetry using disposable MOSFET dosimeters for total body irradiation. Med Phys, 32:1996.
  13. Scalchi P, Francescon P, Rajaguru P (2005). Characterisation of a new MOSFET detector configuration for in vivo skin dosimetry. Med Phys, 32(6):1571?8.
  14. S. M. Sze (1981). Physics of Semiconductor Devices. Willey, New York, 2nd ed.
  15. E. H. Nicollian, J. R. Brews (1982). MOS (metal oxide semiconductor) physics and technology. Wiley, New York.
  16. Jay N. Zemel (1979). Nondestructive Evaluation of Semiconductor Materials and Devices. Nato Science Series B, ISSN: 0258-1221.
  17. Hughes H. L., Benedetto J. M. (2003). Radiation effects and hardening of MOS technology devices and circuits. IEEE Trans. on Nuclear Science.
  18. Oldham T. R., McLean F. B. (2003). Total ionizing dose effects in MOS oxides and devices. IEEE Trans. on Nuclear Science Vol. 50.
  19. Adams J. R., Daves W. R., Sanders T. J. (1977). A radiation hardened field oxide. IEEE Trans. on Nuclear Science. Vol. NS-24, N 6.
  20. E.R.Davies (1997). Machine Vision: Theory, Algorithms, Practicalities. Academic press, London.
  21. Dubovitskiy, D. A. and Blackledge, J. M. (2008). Surface inspection using a computer vision system that includes fractal analysis. ISAST Transaction on Electronics and Signal Processing, 2(3):76-89.
  22. Dubovitskiy, D. A. and Blackledge, J. M. (2009). Texture classification using fractal geometry for the diagnosis of skin cancers. EG UK Theory and Practice of Computer Graphics 2009, pages 41- 48.
  23. Dubovitskiy D., Devyatkov V. and Richer G. (2014). The Application of Mobile Devices for the Recognition of Malignant Melanoma. BIODEVICES 2014: Proceedings of the International Conference on Biomedical Electronics and Devices, Angers, ISBN: 978-989- 758-013-0, Page 140, France 03 ? 06 March.
  24. Dubovitskiy, D. A. and Blackledge, J. M. (2011). Moletest: A Web-based Skin Cancer Screening System. The Third International Conference on Resource Intensive Applications and Services, vol: 978-1-61208-006-2, pages: 22 - 29, Venice, Italy, 22 - 27 May.
  25. Dubovitskiy, D. A. and Blackledge, J. M. (2008). Object Detection and Classification with Applications to Skin Cancer Screening. International Society for Advanced Science and Technology (ISAST) Intelligent Systems, No. 1, Vol. 1, ISSN 1797-1802, pages: 34 ? 45.
  26. Dubovitskiy, D. A. and Blackledge, J. M. (2012). Targeting cell nuclei for the automation of raman spectroscopy in cytology. In Targeting Cell Nuclei for the Automation of Raman Spectroscopy in Cytology. British Patent No. GB1217633.5.
  27. Dubovitskiy, D. A. and McBride, J. (2013). New 'spider' convex hull algorithm for an unknown polygon in object recognition. BIODEVICES 2013: Proceedings of the International Conference on Biomedical Electronics and Devices, page 311.
  28. Freeman, H. (1988). Machine vision. Algorithms, Architectures, and Systems. Academic press, London.
  29. Grimson, W. E. L. (1990). Object Recognition by Computers: The Role of Geometric Constraints. MIT Press.
  30. Louis, J. and Galbiati, J. (1990). Machine vision and digital image processing fundamentals. State University of New York, New-York.
  31. Nalwa, V. S. and Binford, T. O. (1986). On detecting edge. IEEE Trans. Pattern Analysis and Machine Intelligence, 1(PAMI-8):699-714.
  32. Ripley, B. D. (1996). Pattern Recognition and Neural Networks. Academic Press, Oxford.
  33. K.Clarke and D.Schweizer (1991). Measuring the fractal dimension of natural surfaces using a robust fractal estimator. Cartography and Geographic Information Systems, (18):27-47.
  34. K.Falconer (1990). Fractal Geometry. Wiley.
  35. L.DeCola (1989). Fractal analysis of a classified landsat scene. Photogrammetric Engineering and Remote Sensing, 55(5):601-610.
  36. Snyder, W. E. and Qi, H. (2004). Machine Vision. Cambridge University Press, England.
  37. Y.YAGI, J.R.GILBERSON: Digital imaging in pathology: The case for standardisation. J Telemed Telecare 11 (2005), 109-16.
Download


Paper Citation


in Harvard Style

Dubovitskiy D. and Kouznetsov V. (2016). Radiation Exposure Analysis in 3D Cancer Treatment . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 102-107. DOI: 10.5220/0005818401020107


in Bibtex Style

@conference{biodevices16,
author={Dmitriy Dubovitskiy and Valeri Kouznetsov},
title={Radiation Exposure Analysis in 3D Cancer Treatment},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)},
year={2016},
pages={102-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005818401020107},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)
TI - Radiation Exposure Analysis in 3D Cancer Treatment
SN - 978-989-758-170-0
AU - Dubovitskiy D.
AU - Kouznetsov V.
PY - 2016
SP - 102
EP - 107
DO - 10.5220/0005818401020107