Literature DB >> 17500475

Effects of Hounsfield number conversion on CT based proton Monte Carlo dose calculations.

Hongyu Jiang1, Joao Seco, Harald Paganetti.   

Abstract

The Monte Carlo method provides the most accurate dose calculations on a patient computed tomography (CT) geometry. The increase in accuracy is, at least in part, due to the fact that instead of treating human tissues as water of various densities as in analytical algorithms, the Monte Carlo method allows human tissues to be characterized by elemental composition and mass density, and hence allows the accurate consideration of all relevant electromagnetic and nuclear interactions. On the other hand, the algorithm to convert CT Hounsfield numbers to tissue materials for Monte Carlo dose calculation introduces uncertainties. There is not a simple one to one correspondence between Hounsfield numbers and tissue materials. To investigate the effects of Hounsfield number conversion for proton Monte Carlo dose calculations, clinical proton treatment plans were simulated using the Geant4 Monte Carlo code. Three Hounsfield number to material conversion methods were studied. The results were compared in forms of dose volume histograms of gross tumor volume and clinical target volume. The differences found are generally small but can be dosimetrically significant. Further, different methods may cause deviations in the predicted proton beam range in particular for deep proton fields. Typically, slight discrepancies in mass density assignments play only a minor role in the target region, whereas more significant effects are caused by different assignments in elemental compositions. In the presence of large tissue inhomogeneities, for head and neck treatments, treatment planning decisions could be affected by these differences because of deviations in the predicted tumor coverage. Outside the target area, differences in elemental composition and mass density assignments both may play a role. This can lead to pronounced effects for organs at risk, in particular in the spread-out Bragg peak penumbra or distal regions. In addition, the significance of the elemental composition effect (dose to water vs. dose to tissue) is tissue-type dependent and is also affected by nuclear reactions.

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Year:  2007        PMID: 17500475      PMCID: PMC2292645          DOI: 10.1118/1.2715481

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


  19 in total

Review 1.  Dose calculations for external photon beams in radiotherapy.

Authors:  A Ahnesjö; M M Aspradakis
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Authors:  W Schneider; T Bortfeld; W Schlegel
Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

3.  Converting absorbed dose to medium to absorbed dose to water for Monte Carlo based photon beam dose calculations.

Authors:  J V Siebers; P J Keall; A E Nahum; R Mohan
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4.  Clinical implementation of a Monte Carlo treatment planning system.

Authors:  C M Ma; E Mok; A Kapur; T Pawlicki; D Findley; S Brain; K Forster; A L Boyer
Journal:  Med Phys       Date:  1999-10       Impact factor: 4.071

5.  Nuclear interactions in proton therapy: dose and relative biological effect distributions originating from primary and secondary particles.

Authors:  H Paganetti
Journal:  Phys Med Biol       Date:  2002-03-07       Impact factor: 3.609

6.  Removing the effect of statistical uncertainty on dose-volume histograms from Monte Carlo dose calculations.

Authors:  S B Jiang; T Pawlicki; C M Ma
Journal:  Phys Med Biol       Date:  2000-08       Impact factor: 3.609

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8.  A pencil beam algorithm for proton dose calculations.

Authors:  L Hong; M Goitein; M Bucciolini; R Comiskey; B Gottschalk; S Rosenthal; C Serago; M Urie
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9.  Assessing the effect of electron density in photon dose calculations.

Authors:  J Seco; P M Evans
Journal:  Med Phys       Date:  2006-02       Impact factor: 4.071

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Journal:  Int J Radiat Oncol Biol Phys       Date:  1996-05-01       Impact factor: 7.038

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  11 in total

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5.  Determination of elemental tissue composition following proton treatment using positron emission tomography.

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Journal:  Phys Med Biol       Date:  2013-05-16       Impact factor: 3.609

6.  Assessment of organ-specific neutron equivalent doses in proton therapy using computational whole-body age-dependent voxel phantoms.

Authors:  Christina Zacharatou Jarlskog; Choonik Lee; Wesley E Bolch; X George Xu; Harald Paganetti
Journal:  Phys Med Biol       Date:  2008-01-10       Impact factor: 3.609

7.  An Integrated Framework Based on Full Monte Carlo Simulations for Double-Scattering Proton Therapy.

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8.  An inhomogeneous most likely path formalism for proton computed tomography.

Authors:  Mark D Brooke; Scott N Penfold
Journal:  Phys Med       Date:  2020-02-07       Impact factor: 2.685

9.  Dosimetric impact of using a commercial metal artifact reduction tool in carbon ion therapy in patients with hip prostheses.

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10.  Technical Note: A methodology for improved accuracy in stopping power estimation using MRI and CT.

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Journal:  Med Phys       Date:  2020-11-20       Impact factor: 4.071

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