Literature DB >> 16475750

Benchmarking analytical calculations of proton doses in heterogeneous matter.

George Ciangaru1, Jerimy C Polf, Martin Bues, Alfred R Smith.   

Abstract

A proton dose computational algorithm, performing an analytical superposition of infinitely narrow proton beamlets (ASPB) is introduced. The algorithm uses the standard pencil beam technique of laterally distributing the central axis broad beam doses according to the Moliere scattering theory extended to slablike varying density media. The purpose of this study was to determine the accuracy of our computational tool by comparing it with experimental and Monte Carlo (MC) simulation data as benchmarks. In the tests, parallel wide beams of protons were scattered in water phantoms containing embedded air and bone materials with simple geometrical forms and spatial dimensions of a few centimeters. For homogeneous water and bone phantoms, the proton doses we calculated with the ASPB algorithm were found very comparable to experimental and MC data. For layered bone slab inhomogeneity in water, the comparison between our analytical calculation and the MC simulation showed reasonable agreement, even when the inhomogeneity was placed at the Bragg peak depth. There also was reasonable agreement for the parallelepiped bone block inhomogeneity placed at various depths, except for cases in which the bone was located in the region of the Bragg peak, when discrepancies were as large as more than 10%. When the inhomogeneity was in the form of abutting air-bone slabs, discrepancies of as much as 8% occurred in the lateral dose profiles on the air cavity side of the phantom. Additionally, the analytical depth-dose calculations disagreed with the MC calculations within 3% of the Bragg peak dose, at the entry and midway depths in the phantom. The distal depth-dose 20%-80% fall-off widths and ranges calculated with our algorithm and the MC simulation were generally within 0.1 cm of agreement. The analytical lateral-dose profile calculations showed smaller (by less than 0.1 cm) 20%-80% penumbra widths and shorter fall-off tails than did those calculated by the MC simulations. Overall, this work validates the usefulness of our ASPB algorithm as a reasonably fast and accurate tool for quality assurance in planning wide beam proton therapy treatment of clinical sites either composed of homogeneous materials or containing laterally extended inhomogeneities that are comparable in density and located away from the Bragg peak depths.

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Year:  2005        PMID: 16475750     DOI: 10.1118/1.2064887

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations.

Authors:  Pablo P Yepes; Dragan Mirkovic; Phillip J Taddei
Journal:  Phys Med Biol       Date:  2010-11-12       Impact factor: 3.609

2.  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

3.  Experimental and Monte Carlo characterization of a dynamic collimation system prototype for pencil beam scanning proton therapy.

Authors:  Blake R Smith; Mark Pankuch; Daniel E Hyer; Wesley S Culberson
Journal:  Med Phys       Date:  2020-09-09       Impact factor: 4.071

Review 4.  The physics of proton therapy.

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

5.  Application of a fast proton dose calculation algorithm to a thorax geometry.

Authors:  Pablo P Yepes; Travis Brannan; Jessie Huang; Dragan Mirkovic; Wayne D Newhauser; Phillip J Taddei; Uwe Titt
Journal:  Radiat Meas       Date:  2010-12-01       Impact factor: 1.898

6.  Dose calculation accuracy in particle therapy: Comparing carbon ions with protons.

Authors:  Sirinya Ruangchan; Hugo Palmans; Barbara Knäusl; Dietmar Georg; Monika Clausen
Journal:  Med Phys       Date:  2021-09-23       Impact factor: 4.506

7.  Validation of the RayStation Monte Carlo dose calculation algorithm using a realistic lung phantom.

Authors:  Andries N Schreuder; Daniel S Bridges; Lauren Rigsby; Marc Blakey; Martin Janson; Samantha G Hedrick; John B Wilkinson
Journal:  J Appl Clin Med Phys       Date:  2019-11-25       Impact factor: 2.102

8.  A fast Monte Carlo code for proton transport in radiation therapy based on MCNPX.

Authors:  Keyvan Jabbari; Jan Seuntjens
Journal:  J Med Phys       Date:  2014-07

9.  A simplified methodology to produce Monte Carlo dose distributions in proton therapy.

Authors:  Chris Beltran; Yingcui Jia; Roelf Slopsema; Daniel Yeung; Zuofeng Li
Journal:  J Appl Clin Med Phys       Date:  2014-07-08       Impact factor: 2.102

  9 in total

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