Literature DB >> 15552077

Photon beam convolution using polyenergetic energy deposition kernels.

P W Hoban1, D C Murray, W H Round.   

Abstract

In photon beam convolution calculations where polyenergetic energy deposition kernels (EDKS) are used, the primary photon energy spectrum should be correctly accounted for in Monte Carlo generation of EDKS. This requires the probability of interaction, determined by the linear attenuation coefficient, mu, to be taken into account when primary photon interactions are forced to occur at the EDK origin. The use of primary and scattered EDKS generated with a fixed photon spectrum can give rise to an error in the dose calculation due to neglecting the effects of beam hardening with depth. The proportion of primary photon energy that is transferred to secondary electrons increases with depth of interaction, due to the increase in the ratio mu ab/mu as the beam hardens. Convolution depth-dose curves calculated using polyenergetic EDKS generated for the primary photon spectra which exist at depths of 0, 20 and 40 cm in water, show a fall-off which is too steep when compared with EGS4 Monte Carlo results. A beam hardening correction factor applied to primary and scattered 0 cm EDKS, based on the ratio of kerma to terma at each depth, gives primary, scattered and total dose in good agreement with Monte Carlo results.

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Year:  1994        PMID: 15552077     DOI: 10.1088/0031-9155/39/4/002

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


  8 in total

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Authors:  R T Flynn; M W Kissick; M P Mehta; G H Olivera; R Jeraj; T R Mackie
Journal:  Phys Med Biol       Date:  2007-12-28       Impact factor: 3.609

2.  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

3.  Comparison of intensity modulated x-ray therapy and intensity modulated proton therapy for selective subvolume boosting: a phantom study.

Authors:  R T Flynn; D L Barbee; T R Mackie; R Jeraj
Journal:  Phys Med Biol       Date:  2007-10-01       Impact factor: 3.609

4.  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

5.  Parallel beamlet dose calculation via beamlet contexts in a distributed multi-GPU framework.

Authors:  Ryan Neph; Cheng Ouyang; John Neylon; Youming Yang; Ke Sheng
Journal:  Med Phys       Date:  2019-06-30       Impact factor: 4.071

6.  On the sensitivity of IMRT dose optimization to the mathematical form of a biological imaging-based prescription function.

Authors:  Stephen R Bowen; Ryan T Flynn; Søren M Bentzen; Robert Jeraj
Journal:  Phys Med Biol       Date:  2009-02-13       Impact factor: 3.609

7.  Intensity-modulated x-ray (IMXT) versus proton (IMPT) therapy for theragnostic hypoxia-based dose painting.

Authors:  Ryan T Flynn; Stephen R Bowen; Søren M Bentzen; T Rockwell Mackie; Robert Jeraj
Journal:  Phys Med Biol       Date:  2008-07-17       Impact factor: 3.609

8.  Investigation of the Scaling Formula Accuracy for Poly-energetic Kernel Calculation in 6 MV Photon Beam.

Authors:  Tahereh Hadisinia; Ghazale Geraily; Seyed Mohsen Etesami; Mojtaba Hoseini-Ghahfarokhi; Atefeh Mahmoudi; Mostafa Farzin; Maryam Maleki
Journal:  J Biomed Phys Eng       Date:  2021-04-01
  8 in total

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