Optimization of the Laser/Cancer Treatment’s Planning and Thermal Dosimetry Control
In this paper, we propose a new dosimetry planning approach for the laser surgery/cancer treatment with physician interaction that takes into account all the steps of the management of the dosimetry process. Depending on the impact of the thermal damage to the tissue during the simulation, the software tool will output a dosimetry schedule for each simulation and keep all choices for a final decision.
Using Client Server technology, the software tool will also include a public and shared knowledge database to keep track of all simulations and learning process. This will optimize the process by dropping all unwanted simulation by delimiting the tissue tumor size, probe size, laser power, and time range.
A case study of the Laser Interstitial Thermal Therapy (LITT) will demonstrate the feasibility of the dosimetry framework. LITT can be a highly complex treatment, with many parameters influencing treatment efficacy.
Index Terms—Dosimetry, planning, bio-heat equation, laser source, thermal damage, tissue cancer, bioheat transfer simulation, side effects, database knowledge, intelligence artificial, client server technology, object-oriented programming.
The authors are with Universitédu Québec en Outaouais, Québec, Canada (email: firstname.lastname@example.org).
Cite: Mhamed Nour, Mohammed Bougataya, Karim El Guemhioui, Ahmed Lakhssassi, "Optimization of the Laser/Cancer Treatment’s Planning and Thermal Dosimetry Control," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 7, no. 1, pp. 1-12, 2017.
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