Determination of Magnetic Nanoparticles Injection Characteristics for Optimal Hyperthermia Treatment of an Arbitrary Cancerous Cells Distribution

One of the most promising methods for cancer treatment that is developed substantially in theoretical and clinical fields is hyperthermia. Magnetic hyperthermia using nanoparticles has significant advantages in comparison with other hyperthermia treatments. Providing the proper dosage of magnetic nanoparticles (MNPs) in the proper location(s) is one the most challenging steps of this procedure. In the present article, an efficient and robust analytical algorithm to determine the proper injection location(s) and dosage(s) in addition to the number of infusions for an arbitrary cancerous cells distribution in the tissue is presented. The method is based on temperature elevation of tumor spots to a specified amount and prevention of overheating in the nearby healthy tissues. The algorithm is based on tissue imaging, hyperthermia level decision, and implementation of inverse Fourier’s transformation, Green’s function, as well as genetic algorithm. Based on the obtained results, the algorithm can achieve 17 % and 12 % relative deviation error with respect to the desired temperature for uniform and concentrated cancerous cells distribution pattern, respectively, while for the more complex pattern examined, the error increased to 25 %, which is quite promising for the complex test case.