Exploring trade-offs between target coverage, healthy tissue sparing, and the placement of catheters in HDR brachytherapy for prostate cancer using a novel multi-objective model-based mixed-integer evolutionary algorithm.
Krzysztof L. SadowskiMarjolein C. van der MeerNgoc Hoang LuongTanja AlderliestenDirk ThierensRob van der LaarseYury NiatsetskiArjan BelPeter A. N. BosmanPublished in: GECCO (2017)
Keyphrases
- prostate cancer
- evolutionary algorithm
- multi objective
- mixed integer
- radiation therapy
- multi objective optimization
- image guided
- optimization problems
- mr images
- treatment plan
- linear program
- computer aided
- deformable registration
- convex hull
- lot sizing
- feasible solution
- genetic algorithm
- cancer patients
- differential evolution
- multiple objectives
- medical image analysis
- particle swarm optimization
- nsga ii
- simulated annealing
- optimal solution
- tissue deformation
- continuous variables
- brain tumors
- image analysis
- minimally invasive surgery
- objective function
- soft tissue
- linear programming
- high resolution
- training set
- magnetic resonance