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Improving Human Health: Challenges and Methodology for Controlling Thermal Doses During Cancer Therapeutic Treatment

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Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 681)

Abstract

Controlled thermal ablation in order to maximize the therapy and minimize the side effects poses a challenge during the heating of the biological tissue. Traditionally, these processes are modelled by the bio heat equation introduced by Pennes, who used the Fourier’s theory of heat conduction. During my talk I will present our automated thermal dose control and prediction system for cancer tumors therapy by using Implantable Bio-chip solution. The proposed system is able to control thermal ablation doses deposition during a laser surgery/cancer treatment. A system would help physicians to predict thermal diffusion to organize the treatment as well as maximize therapeutic effects while minimizing side effects. An innovative approach is proposed to improve the quality of thermal treatments in oncology. A biochip platform will be investigated, designed, and prototyped on an FPGA board. The destruction of tumors using a heating source has been widely used as an efficient approach for cancer treatment, where the oncologists use a heating source to destroy the targeted tumoral tissue. A case study of the Laser Interstitial Thermal Therapy (LITT) will demonstrate his feasibility as Cancer therapeutic treatment. Furthermore, our Dosimetry Framework of the Bio-heat Transfer for Laser/Cancer Treatment will be introduced. This would provide a precise idea of the predicted reaction depending on selected doses, tissue geometry, and the laser source prior to the treatment; so new treatment strategies can be proposed and evaluated.

Keywords

  • Real-time monitoring
  • Thermal ablation
  • BIOCHIP
  • Cancer tumor
  • FPGA
  • FDM
  • Laser Interstitial Thermal Therapy
  • Thermal damage
  • Brain cancer
  • Bio heat transfer simulation
  • Thermal sensor
  • Minimally invasive surgery
  • Robotic surgical assistants
  • Robotic arm
  • Raspberry Pi B+

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  • DOI: 10.1007/978-981-15-6259-4_2
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Correspondence to Ahmed Lakhssassi .

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Lakhssassi, A., Mellal, I., Nour, M., Fouzar, Y., Bougataya, M., Kengne, E. (2021). Improving Human Health: Challenges and Methodology for Controlling Thermal Doses During Cancer Therapeutic Treatment. In: Hajji, B., Mellit, A., Marco Tina, G., Rabhi, A., Launay, J., Naimi, S. (eds) Proceedings of the 2nd International Conference on Electronic Engineering and Renewable Energy Systems. ICEERE 2020. Lecture Notes in Electrical Engineering, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-15-6259-4_2

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  • DOI: https://doi.org/10.1007/978-981-15-6259-4_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6258-7

  • Online ISBN: 978-981-15-6259-4

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