Resumen
Electroporation has sparked great interest regarding its use in medicine. When planning electroporation-based treatments, the main goal is to determine the best possible electrode position and voltage amplitude that will ensure treatment of the entire target tissue?s volume. However, this process is still mainly performed manually or using computationally intensive genetic algorithms. This study presents an algorithm for optimizing electrode positions based on spatial information of the electric field distribution in the target tissue. The algorithm is currently designed for the electrochemotherapy of vertebral tumors via a transpedicular approach but could be adapted to other anatomic sites in the future. The algorithm performs successfully for different spinal segments, tumor sizes, and locations within the vertebra. Application of the algorithm significantly reduces the time and expertise required to create a treatment plan for the electrochemotherapy of vertebral tumors.