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Title: Falcon: automated optimization method for arbitrary assessment criteria

Abstract

FALCON is a method for automatic multivariable optimization for arbitrary assessment criteria that can be applied to numerous fields where outcome simulation is combined with optimization and assessment criteria. A specific implementation of FALCON is for automatic radiation therapy treatment planning. In this application, FALCON implements dose calculations into the planning process and optimizes available beam delivery modifier parameters to determine the treatment plan that best meets clinical decision-making criteria. FALCON is described in the context of the optimization of external-beam radiation therapy and intensity modulated radiation therapy (IMRT), but the concepts could also be applied to internal (brachytherapy) radiotherapy. The radiation beams could consist of photons or any charged or uncharged particles. The concept of optimizing source distributions can be applied to complex radiography (e.g. flash x-ray or proton) to improve the imaging capabilities of facilities proposed for science-based stockpile stewardship.

Inventors:
 [1];  [1];  [1]
  1. (Livermore, CA)
Issue Date:
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
OSTI Identifier:
873853
Patent Number(s):
6260005
Assignee:
Regents of University of California (Oakland, CA) LLNL
DOE Contract Number:  
W-7405-ENG-48
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
falcon; automated; optimization; method; arbitrary; assessment; criteria; automatic; multivariable; applied; numerous; fields; outcome; simulation; combined; specific; implementation; radiation; therapy; treatment; planning; application; implements; dose; calculations; process; optimizes; available; beam; delivery; modifier; parameters; determine; plan; meets; clinical; decision-making; described; context; external-beam; intensity; modulated; imrt; concepts; internal; brachytherapy; radiotherapy; beams; consist; photons; charged; uncharged; particles; concept; optimizing; source; distributions; complex; radiography; flash; x-ray; proton; improve; imaging; capabilities; facilities; proposed; science-based; stockpile; stewardship; intensity modulated; charged particles; charged particle; radiation therapy; radiation beams; source distribution; beam radiation; assessment criteria; dose calculation; radiation beam; arbitrary assessment; /703/

Citation Formats

Yang, Tser-Yuan, Moses, Edward I., and Hartmann-Siantar, Christine. Falcon: automated optimization method for arbitrary assessment criteria. United States: N. p., 2001. Web.
Yang, Tser-Yuan, Moses, Edward I., & Hartmann-Siantar, Christine. Falcon: automated optimization method for arbitrary assessment criteria. United States.
Yang, Tser-Yuan, Moses, Edward I., and Hartmann-Siantar, Christine. Mon . "Falcon: automated optimization method for arbitrary assessment criteria". United States. https://www.osti.gov/servlets/purl/873853.
@article{osti_873853,
title = {Falcon: automated optimization method for arbitrary assessment criteria},
author = {Yang, Tser-Yuan and Moses, Edward I. and Hartmann-Siantar, Christine},
abstractNote = {FALCON is a method for automatic multivariable optimization for arbitrary assessment criteria that can be applied to numerous fields where outcome simulation is combined with optimization and assessment criteria. A specific implementation of FALCON is for automatic radiation therapy treatment planning. In this application, FALCON implements dose calculations into the planning process and optimizes available beam delivery modifier parameters to determine the treatment plan that best meets clinical decision-making criteria. FALCON is described in the context of the optimization of external-beam radiation therapy and intensity modulated radiation therapy (IMRT), but the concepts could also be applied to internal (brachytherapy) radiotherapy. The radiation beams could consist of photons or any charged or uncharged particles. The concept of optimizing source distributions can be applied to complex radiography (e.g. flash x-ray or proton) to improve the imaging capabilities of facilities proposed for science-based stockpile stewardship.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2001},
month = {1}
}

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