Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration
AbstractCurrent state-of-the-art medical deformable image registration (DIR) methods optimize a weighted sum of key objectives of interest. Having a pre-determined weight combination that leads to high-quality results for any instance of a specific DIR problem (i.e., a class solution) would facilitate clinical application of DIR. However, such a combination can vary widely for each instance and is currently often manually determined. A multi-objective optimization approach for DIR removes the need for manual tuning, providing a set of high-quality trade-off solutions. Here, we investigate machine learning for a multi-objective class solution, i.e., not a single weight combination, but a set thereof, that, when used on any instance of a specific DIR problem, approximates such a set of trade-off solutions. To this end, we employed a multi-objective evolutionary algorithm to learn sets of weight combinations for three breast DIR problems of increasing difficulty: 10 prone-prone cases, 4 prone-supine cases with limited deformations and 6 prone-supine cases with larger deformations and image artefacts. Clinically-acceptable results were obtained for the first two problems. Therefore, for DIR problems with limited deformations, a multi-objective class solution can be machine learned and used to compute straightforwardly multiple high-quality DIR outcomes, potentially leading to more efficient use of DIR in clinical practice. View Full-Text
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Pirpinia, K.; Bosman, P.A.N.; Sonke, J.-J.; van Herk, M.; Alderliesten, T. Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration. Algorithms 2019, 12, 99.
Pirpinia K, Bosman PAN, Sonke J-J, van Herk M, Alderliesten T. Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration. Algorithms. 2019; 12(5):99.Chicago/Turabian Style
Pirpinia, Kleopatra; Bosman, Peter A.N.; Sonke, Jan-Jakob; van Herk, Marcel; Alderliesten, Tanja. 2019. "Evolutionary Machine Learning for Multi-Objective Class Solutions in Medical Deformable Image Registration." Algorithms 12, no. 5: 99.
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