On the three-objective static unconstrained leaf sequencing in IMRT.

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  • Additional Information
    • Source:
      Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE
    • Publication Information:
      Publication: New York, NY : Springer
      Original Publication: Stevenage, Eng., Peregrinus.
    • Subject Terms:
      Algorithms*; Radiotherapy Planning, Computer-Assisted/*statistics & numerical data ; Radiotherapy, Intensity-Modulated/*statistics & numerical data; Computational Biology ; Humans ; Particle Accelerators ; Radiotherapy Dosage ; Radiotherapy, Intensity-Modulated/instrumentation
    • Abstract:
      Algorithms are an essential part of radiation therapy planning, which includes three optimizations problems: beam angle configuration, fluence map, and realization. This study addresses the third one, also called the leaf sequencing problem, which arises for each chosen irradiation angle, given the optimized fluence map. It consists in defining a sequence of configurations of a device (called multileaf collimator) that correctly delivers radiation to the patient. A usual model for this problem is the decomposition of a matrix into a weighted sum of (0,1)-matrices, called segments, in which the ones in each row appear consecutively. Each (0,1)-matrix corresponds to a configuration of the device. The realization problem has three objectives. The first one is to minimize the sum of weights assigned to the (0,1)-matrices. The second is to minimize the number of segments. Finally, the third one is to find the best order to apply those configurations. This study presents a greedy and randomized algorithm to this problem and compares it with other algorithms presented previously in the literature. Statistical tests show that our algorithm outperformed the previous ones regarding the quality indicators investigated. Graphical Abstract a Illustrates how the IMRT realization is modelled to a mathematical problem. b Shows a decomposition example of the IMRT realization. c The scheme of the algorithm that is proposed on this work, called GRA-SRA.
    • Contributed Indexing:
      Keywords: IMRT realization problem; Leaf sequencing; Multileaf collimator; Radiation therapy
    • Publication Date:
      Date Created: 20200706 Date Completed: 20210607 Latest Revision: 20210607
    • Publication Date:
      20231215
    • Accession Number:
      10.1007/s11517-020-02210-z
    • Accession Number:
      32623643