Advertisement

Journal of the Korean Physical Society

, Volume 76, Issue 1, pp 86–92 | Cite as

Evaluation of Developed Thermal Distribution Prediction Algorithm Using Mass Density Distribution with CT Image

  • Jinho Hwang
  • Yunji Seol
  • Taegeon Oh
  • Na young An
  • Jaehyeon Lee
  • Chul-Seung Kay
  • Hong Seok Jang
  • Byung Ock Choi
  • Young-nam KangEmail author
Article
  • 2 Downloads

Abstract

Prior to the hyperthermia, the amount of heat energy delivered to the tumors must be confirmed. If it cannot be confirmed before hyperthermia, normal tissues may also be heated, leading to possible necrosis. In a previous study, the thermal distribution was calculated using mass density distribution with CT image. The previous study was not performed various evaluations of accuracy for the developed thermal distribution prediction algorithm. In this study, the developed thermal distribution prediction algorithm was evaluated by comparing the phantom with the measured temperature and a commercial simulation software (Sim4Life) has been used as a reference data for hyperthermia studies. The difference between the measured temperature and the commercial simulation software (Sim4Life) was within 3%, and the difference between the measured temperature and the developed thermal distribution algorithm was also within 2%. The difference between the developed thermal distribution algorithm and the commercial simulation software was also within 3%. The thermal distribution algorithm developed in this study could predict the internal temperature of the patient before hyperthermia and increase the treatment accuracy by preventing necrosis from occurring in normal organs. In addition, it could easily predict the temperatures for hyperthermia without modeling CT images taken for the diagnosis of lesions.

Keywords

Thermal prediction program Hyperthermia therapy SAR (specific absorption rate) Mass density BHE (Bio Heat Equation) Sim4Life 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgments

This research was supported by Advanced Institute for Radiation Medical Technology (AIRFMT) at Catholic University of Korea. This research is supported by AdipoLABs Co., Ltd. Thanks to ZMT for providing free license of Sim4Life used in this study.

References

  1. [1]
    N. Cihoric et al., Int. J. Hyperther. 31, 609 (2015).CrossRefGoogle Scholar
  2. [2]
    P. Wust et al., Lancet Oncol. 3, 487 (2002).CrossRefGoogle Scholar
  3. [3]
    H. Kok and J. Crezee, Int. J. Hyperther. 33, 378 (2017).CrossRefGoogle Scholar
  4. [4]
    J. Overgaard et al., The Lancet 345, 540 (1995).CrossRefGoogle Scholar
  5. [5]
    I. C. H. Group et al., Int. J. Radiat. Oncol. 35, 731 (1996).CrossRefGoogle Scholar
  6. [6]
    S. M. Yacoob and N. S. Hassan, Biomed. Eng. Online 11, 47 (2012).CrossRefGoogle Scholar
  7. [7]
    J. Hwang et al., J. Korean Phys. Soc. 73, 1584 (2018).ADSCrossRefGoogle Scholar
  8. [8]
    P. F. Maccarini, H-O. Rolfsnes, D. Neuman and P. Stauffer, in The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2004), Vol. 1, p. 2518.Google Scholar
  9. [9]
    D. Correia et al., IEEE T. Bio-Med. Eng. 56, 2917 (2009).CrossRefGoogle Scholar
  10. [10]
    H. Kok, A. Kotte and J. Crezee, Int. J. Hyperther. 33, 593 (2017).CrossRefGoogle Scholar
  11. [11]
    S. Das, S. Clegg, M. S. Anscher and T. Samulski, Int. J. Hyperther. 11, 797 (1995).CrossRefGoogle Scholar
  12. [12]
    X. Chen et al., Int. J. Hyperther. 26, 39 (2010).CrossRefGoogle Scholar
  13. [13]
    D. Stalling, M. Seebass, M. Zöckler and H-C. Hege (2000).Google Scholar
  14. [14]
    Sim4Life by ZMT, https://www.zmt.swiss
  15. [15]
    B. Prasad et al., J. Therm. Biol. 74, 281 (2018).ADSCrossRefGoogle Scholar
  16. [16]
    S. H. Lee et al., J. Korean Soc. Radiother. Technol. 27, 97 (2015).Google Scholar
  17. [17]
    J. K. Kim, B. Prasad and S. Kim, in Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXVI (2017), Vol. 10047, p. 1004718.Google Scholar
  18. [18]
    W. Schneider, T. Bortfeld and W. Schlegel, Phys. Med. Biol. 45, 459 (2000).CrossRefGoogle Scholar

Copyright information

© The Korean Physical Society 2020

Authors and Affiliations

  • Jinho Hwang
    • 1
    • 2
  • Yunji Seol
    • 1
    • 2
  • Taegeon Oh
    • 1
    • 2
  • Na young An
    • 1
    • 2
  • Jaehyeon Lee
    • 1
    • 2
  • Chul-Seung Kay
    • 3
  • Hong Seok Jang
    • 2
    • 4
  • Byung Ock Choi
    • 2
    • 4
  • Young-nam Kang
    • 2
    • 4
    Email author
  1. 1.Department of Biomedicine & Health SciencesThe Catholic University of KoreaSeoulKorea
  2. 2.Advanced Institute for Radiation Fusion Medical Technology, College of MedicineThe Catholic University of KoreaSeoulKorea
  3. 3.Department of Radiation Oncology, Incheon St. Mary’s Hospital, College of MedicineThe Catholic University of KoreaIncheonKorea
  4. 4.Department of Radiation Oncology, Seoul St. Mary’s Hospital, College of MedicineThe Catholic University of KoreaSeoulKorea

Personalised recommendations