Literature DB >> 18367787

Proton dose calculation based on in-air fluence measurements.

Barbara Schaffner1.   

Abstract

Proton dose calculation algorithms--as well as photon and electron algorithms--are usually based on configuration measurements taken in a water phantom. The exceptions to this are proton dose calculation algorithms for modulated scanning beams. There, it is usual to measure the spot profiles in air. We use the concept of in-air configuration measurements also for scattering and uniform scanning (wobbling) proton delivery techniques. The dose calculation includes a separate step for the calculation of the in-air fluence distribution per energy layer. The in-air fluence calculation is specific to the technique and-to a lesser extent-design of the treatment machine. The actual dose calculation uses the in-air fluence as input and is generic for all proton machine designs and techniques.

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Year:  2008        PMID: 18367787     DOI: 10.1088/0031-9155/53/6/003

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  18 in total

1.  A generalized 2D pencil beam scaling algorithm for proton dose calculation in heterogeneous slab geometries.

Authors:  David C Westerly; Xiaohu Mo; Wolfgang A Tomé; Thomas R Mackie; Paul M DeLuca
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

2.  Impact of range shifter material on proton pencil beam spot characteristics.

Authors:  Jiajian Shen; Wei Liu; Aman Anand; Joshua B Stoker; Xiaoning Ding; Mirek Fatyga; Michael G Herman; Martin Bues
Journal:  Med Phys       Date:  2015-03       Impact factor: 4.071

3.  Benchmark measurements and simulations of dose perturbations due to metallic spheres in proton beams.

Authors:  Wayne D Newhauser; Laura Rechner; Dragan Mirkovic; Pablo Yepes; Nicholas C Koch; Uwe Titt; Jonas D Fontenot; Rui Zhang
Journal:  Radiat Meas       Date:  2013-11-01       Impact factor: 1.898

4.  Monte Carlo study of radial energy deposition from primary and secondary particles for narrow and large proton beamlet source models.

Authors:  Christopher R Peeler; Uwe Titt
Journal:  Phys Med Biol       Date:  2012-05-23       Impact factor: 3.609

5.  Beyond Gaussians: a study of single-spot modeling for scanning proton dose calculation.

Authors:  Yupeng Li; Ronald X Zhu; Narayan Sahoo; Aman Anand; Xiaodong Zhang
Journal:  Phys Med Biol       Date:  2012-02-01       Impact factor: 3.609

Review 6.  The physics of proton therapy.

Authors:  Wayne D Newhauser; Rui Zhang
Journal:  Phys Med Biol       Date:  2015-03-24       Impact factor: 3.609

7.  GRID-ENABLED TREATMENT PLANNING FOR PROTON THERAPY USING MONTE CARLO SIMULATIONS.

Authors:  Ravi Vadapalli; Pablo Yepes; Wayne Newhauser; Roger Lichti
Journal:  Nucl Technol       Date:  2011-07

8.  Commissioning dose computation models for spot scanning proton beams in water for a commercially available treatment planning system.

Authors:  X R Zhu; F Poenisch; M Lii; G O Sawakuchi; U Titt; M Bues; X Song; X Zhang; Y Li; G Ciangaru; H Li; M B Taylor; K Suzuki; R Mohan; M T Gillin; N Sahoo
Journal:  Med Phys       Date:  2013-04       Impact factor: 4.071

9.  Transitioning from measurement-based to combined patient-specific quality assurance for intensity-modulated proton therapy.

Authors:  Mei Chen; Pablo Yepes; Yoshifumi Hojo; Falk Poenisch; Yupeng Li; Jiayi Chen; Cheng Xu; Xiaodong He; G Brandon Gunn; Steven J Frank; Narayan Sahoo; Heng Li; Xiaorong Ronald Zhu; Xiaodong Zhang
Journal:  Br J Radiol       Date:  2019-12-16       Impact factor: 3.039

10.  Standardized treatment planning methodology for passively scattered proton craniospinal irradiation.

Authors:  Annelise Giebeler; Wayne D Newhauser; Richard A Amos; Anita Mahajan; Kenneth Homann; Rebecca M Howell
Journal:  Radiat Oncol       Date:  2013-02-03       Impact factor: 3.481

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