Title
Optimizing Nozzle Travel Time in Proton Therapy
Abstract
Proton therapy is a cancer therapy that is more expensive than classical radiotherapy but that is considered the gold standard in several situations. Since there is also a limited amount of delivering facilities for this techniques, it is fundamental to increase the number of treated patients over time. The objective of this work is to offer an insight on the problem of the optimization of the part of the delivery time of a treatment plan that relates to the movements of the system. We denote it as the Nozzle Travel Time Problem (NTTP), in analogy with the Leaf Travel Time Problem (LTTP) in classical radiotherapy. In particular this work: (i) describes a mathematical model for the delivery system and formalize the optimization problem for finding the optimal sequence of movements of the system (nozzle and bed) that satisfies the covering of the prescribed irradiation directions; (ii) provides an optimization pipeline that solves the problem for instances with an amount of irradiation directions much greater than those usually employed in the clinical practice; (iii) reports preliminary results about the effects of employing two different resolution strategies within the aforementioned pipeline, that rely on an exact Traveling Salesman Problem (TSP) solver, Concorde, and an efficient Vehicle Routing Problem (VRP) heuristic, VROOM.
Year
DOI
Venue
2022
10.1109/CBMS55023.2022.00085
2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS)
Keywords
DocType
ISSN
Proton Therapy,Delivery Time Optimization,Generalized Traveling Salesman Problem
Conference
2372-918X
ISBN
Citations 
PageRank 
978-1-6654-6771-1
0
0.34
References 
Authors
6
11