Literature DB >> 2333045

The validity of the density scaling method in primary electron transport for photon and electron beams.

M K Woo1, J R Cunningham.   

Abstract

In the convolution/superposition method of photon beam dose calculations, inhomogeneities are usually handled by using some form of scaling involving the relative electron densities of the inhomogeneities. In this paper the accuracy of density scaling as applied to primary electrons generated in photon interactions is examined. Monte Carlo calculations are compared with density scaling calculations for air and cork slab inhomogeneities. For individual primary photon kernels as well as for photon interactions restricted to a thin layer, the results can differ significantly, by up to 50%, between the two calculations. However, for realistic photon beams where interactions occur throughout the whole irradiated volume, the discrepancies are much less severe. The discrepancies for the kernel calculation are attributed to the scattering characteristics of the electrons and the consequent oversimplified modeling used in the density scaling method. A technique called the kernel integration technique is developed to analyze the general effects of air and cork inhomogeneities. It is shown that the discrepancies become significant only under rather extreme conditions, such as immediately beyond the surface after a large air gap. In electron beams all the primary electrons originate from the surface of the phantom and the errors caused by simple density scaling can be much more significant. Various aspects relating to the accuracy of density scaling for air and cork slab inhomogeneities are discussed.

Mesh:

Year:  1990        PMID: 2333045     DOI: 10.1118/1.596497

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


  8 in total

1.  Investigation of various energy deposition kernel refinements for the convolution∕superposition method.

Authors:  Jessie Y Huang; David Eklund; Nathan L Childress; Rebecca M Howell; Dragan Mirkovic; David S Followill; Stephen F Kry
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

2.  A convolution/superposition method using primary and scatter dose kernels formed for energy bins of X-ray spectra reconstructed as a function of off-axis distance: a theoretical study on 10-MV X-ray dose calculations in thorax-like phantoms.

Authors:  Akira Iwasaki; Shigenobu Kimura; Kohji Sutoh; Kazuo Kamimura; Makoto Sasamori; Fumio Komai; Morio Seino; Singo Terashima; Mamoru Kubota; Junichi Hirota; Yoichiro Hosokawa
Journal:  Radiol Phys Technol       Date:  2011-06-15

3.  Endo-rectal balloon cavity dosimetry in a phantom: performance under IMRT and helical tomotherapy beams.

Authors:  Nicholas Hardcastle; Peter E Metcalfe; Anatoly B Rosenfeld; Wolfgang A Tomé
Journal:  Radiother Oncol       Date:  2009-03-30       Impact factor: 6.280

4.  Clinical implications in the use of the PBC algorithm versus the AAA by comparison of different NTCP models/parameters.

Authors:  Antonella Bufacchi; Barbara Nardiello; Roberto Capparella; Luisa Begnozzi
Journal:  Radiat Oncol       Date:  2013-07-04       Impact factor: 3.481

5.  Dosimetry of oblique tangential photon beams calculated by superposition/convolution algorithms: a Monte Carlo evaluation.

Authors:  James C L Chow; Runqing Jiang; Michael K K Leung
Journal:  J Appl Clin Med Phys       Date:  2010-11-03       Impact factor: 2.102

6.  Validation of measurement-guided 3D VMAT dose reconstruction on a heterogeneous anthropomorphic phantom.

Authors:  Daniel Opp; Benjamin E Nelms; Geoffrey Zhang; Craig Stevens; Vladimir Feygelman
Journal:  J Appl Clin Med Phys       Date:  2013-07-08       Impact factor: 2.102

7.  Comparison of RTP dose distributions in heterogeneous phantoms with the BEAM Monte Carlo simulation system.

Authors:  M Miften; M Wiesmeyer; A Kapur; C M Ma
Journal:  J Appl Clin Med Phys       Date:  2001       Impact factor: 2.102

8.  The Effect of Algorithms on Dose Distribution in Inhomogeneous Phantom: Monaco Treatment Planning System versus Monte Carlo Simulation.

Authors:  Taylan Tuğrul
Journal:  J Med Phys       Date:  2021-08-07
  8 in total

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