Multi-objective optimization framework to plan laser ablation procedure for prostate tumors through a genetic algorithm
This study introduces an effective methodology for optimizing laser-induced thermal ablation for prostate tumors. By coupling genetic algorithms with finite element simulations, a set of optimal protocols (in terms of time and laser settings) can be selected, ensuring maximal tumor necrosis with minimal damage to the healthy prostate. This approach assists surgeons in protocol planning and reduces uncertainty in outcomes.
Authors
- Giuseppe Peter Vanoli (ORCID: https://orcid.org/0000-0003-4831-276X)
- Assunta Andreozzi (ORCID: https://orcid.org/0000-0002-7118-8843)
- Giovanni Napoli (ORCID: https://orcid.org/0009-0007-5911-7210)
- Marcello Iasiello (ORCID: https://orcid.org/0000-0002-7681-3046)
- Gabriele Adabbo (ORCID: https://orcid.org/0009-0009-8181-1625)
Institutions
- University of Molise (IT)
- University of Naples Federico II (IT)
Publication Details
- Journal
- Computer Methods and Programs in Biomedicine
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1016/j.cmpb.2025.108827
- Citations
- 8
- Primary Topic
- Advanced Multi-Objective Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 12.03