Performance of commercially available deformable image registration platforms for contour propagation using patient-based computational phantoms: A multi-institutional study.

@article{Loi2018PerformanceOC,
  title={Performance of commercially available deformable image registration platforms for contour propagation using patient-based computational phantoms: A multi-institutional study.},
  author={Gianfranco Loi and Marco Fusella and Eleonora Lanzi and Elisabetta Cagni and Cristina Garibaldi and Giuseppina Iacoviello and Francesco Lucio and Enrico Menghi and Roberto Miceli and Lucia Clara Orlandini and Antonella Roggio and Federica Rosica and Michele Stasi and Lidia Strigari and Silvia Strolin and Christian Fiandra},
  journal={Medical physics},
  year={2018},
  volume={45 2},
  pages={
          748-757
        }
}
PURPOSE To investigate the performance of various algorithms for deformable image registration (DIR) to propagate regions of interest (ROIs) using multiple commercial platforms. METHODS AND MATERIALS Thirteen institutions participated in the study with six commercial platforms: RayStation (RaySearch Laboratories, Stockholm, Sweden), MIM (Cleveland, OH, USA), VelocityAI and Smart Adapt (Varian Medical Systems, Palo Alto, CA, USA), Mirada XD (Mirada Medical Ltd, Oxford, UK), and ABAS (Elekta AB… CONTINUE READING

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