Literature DB >> 3353444

Generation of photon energy deposition kernels using the EGS Monte Carlo code.

T R Mackie1, A F Bielajew, D W Rogers, J J Battista.   

Abstract

The EGS Monte Carlo code was used to generate photon energy deposition kernels which describe the energy deposited by charged particles set in motion by primary, first scattered, second scattered, multiple scattered and bremsstrahlung plus annihilation photons. These were calculated for a water medium irradiated with monoenergetic photons with energies in the range 0.1-50 MeV. In addition to the primary energy deposition kernels, primary charged particle transport was further characterised by computing the effective centre of the voxels, and the effective penetration depth, effective radius and effective lateral distance travelled by these particles. The dose per unit collision kerma for parallel monoenergetic primary photons beta' was calculated. Additional applications of the energy deposition kernels are discussed.

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Year:  1988        PMID: 3353444     DOI: 10.1088/0031-9155/33/1/001

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


  29 in total

1.  Dosimetric verification in inhomogeneous phantom geometries for the XiO radiotherapy treatment planning system with 6-MV photon beams.

Authors:  Ryosuke Kohno; Satoshi Kitou; Eriko Hirano; Satoru Kameoka; Tomonori Goka; Teiji Nishio; Tomoko Miyagishi; Takaki Ariji; Mitsuhiko Kawashima; Takashi Ogino
Journal:  Radiol Phys Technol       Date:  2008-12-25

2.  GPU-accelerated Monte Carlo convolution/superposition implementation for dose calculation.

Authors:  Bo Zhou; Cedric X Yu; Danny Z Chen; X Sharon Hu
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

3.  The impact of linac output variations on dose distributions in helical tomotherapy.

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

4.  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

5.  Determination of radiotherapy X-ray spectra using a screen-film system.

Authors:  H M Garnica-Garza
Journal:  Med Biol Eng Comput       Date:  2008-09-09       Impact factor: 2.602

6.  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

7.  Multisource modeling of flattening filter free (FFF) beam and the optimization of model parameters.

Authors:  Woong Cho; Kayla N Kielar; Ed Mok; Lei Xing; Jeong-Hoon Park; Won-Gyun Jung; Tae-Suk Suh
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

8.  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

9.  Postlumpectomy focal brachytherapy for simultaneous treatment of surgical cavity and draining lymph nodes.

Authors:  Brian A Hrycushko; Shihong Li; Chengyu Shi; Beth Goins; Yaxi Liu; William T Phillips; Pamela M Otto; Ande Bao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-09-23       Impact factor: 7.038

10.  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

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