Literature DB >> 19931030

Ion stopping powers and CT numbers.

Michael F Moyers1, Milind Sardesai, Sean Sun, Daniel W Miller.   

Abstract

One of the advantages of ion beam therapy is the steep dose gradient produced near the ion's range. Use of this advantage makes knowledge of the stopping powers for all materials through which the beam passes critical. Most treatment planning systems calculate dose distributions using depth dose data measured in water and an algorithm that converts the kilovoltage X-ray computed tomography (CT) number of a given material to its linear stopping power relative to water. Some materials present in kilovoltage scans of patients and simulation phantoms do not lie on the standard tissue conversion curve. The relative linear stopping powers (RLSPs) of 21 different tissue substitutes and positioning, registration, immobilization, and beamline materials were measured in beams of protons accelerated to energies of 155, 200, and 250 MeV; carbon ions accelerated to 290 MeV/n; and iron ions accelerated to 970 MeV/n. These same materials were scanned with both kilovoltage and megavoltage CT scanners to obtain their CT numbers. Measured RLSPs and CT numbers were compared with calculated and/or literature values. Relationships of RLSPs to physical densities, electronic densities, kilovoltage CT numbers, megavoltage CT numbers, and water equivalence values converted by a treatment planning system are given. Usage of CT numbers and substitution of measured values into treatment plans to provide accurate patient and phantom simulations are discussed. 2010 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19931030     DOI: 10.1016/j.meddos.2009.05.004

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  28 in total

1.  Does kV-MV dual-energy computed tomography have an advantage in determining proton stopping power ratios in patients?

Authors:  M Yang; G Virshup; J Clayton; X R Zhu; R Mohan; L Dong
Journal:  Phys Med Biol       Date:  2011-06-30       Impact factor: 3.609

Review 2.  Treatment planning optimisation in proton therapy.

Authors:  S E McGowan; N G Burnet; A J Lomax
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

3.  The effect of beam purity and scanner complexity on proton CT accuracy.

Authors:  P Piersimoni; J Ramos-Méndez; T Geoghegan; V A Bashkirov; R W Schulte; B A Faddegon
Journal:  Med Phys       Date:  2017-01-09       Impact factor: 4.071

4.  A beam-specific planning target volume (PTV) design for proton therapy to account for setup and range uncertainties.

Authors:  Peter C Park; X Ronald Zhu; Andrew K Lee; Narayan Sahoo; Adam D Melancon; Lifei Zhang; Lei Dong
Journal:  Int J Radiat Oncol Biol Phys       Date:  2011-06-22       Impact factor: 7.038

5.  Comparison of x ray computed tomography number to proton relative linear stopping power conversion functions using a standard phantom.

Authors:  M F Moyers
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

6.  Dosimetric benefits of robust treatment planning for intensity modulated proton therapy for base-of-skull cancers.

Authors:  Wei Liu; Radhe Mohan; Peter Park; Zhong Liu; Heng Li; Xiaoqiang Li; Yupeng Li; Richard Wu; Narayan Sahoo; Lei Dong; X Ronald Zhu; David R Grosshans
Journal:  Pract Radiat Oncol       Date:  2014-01-14

7.  Water equivalent thickness values of materials used in beams of protons, helium, carbon and iron ions.

Authors:  Rui Zhang; Phillip J Taddei; Markus M Fitzek; Wayne D Newhauser
Journal:  Phys Med Biol       Date:  2010-04-06       Impact factor: 3.609

8.  Feasibility of proton-activated implantable markers for proton range verification using PET.

Authors:  Jongmin Cho; Geoffrey Ibbott; Michael Gillin; Carlos Gonzalez-Lepera; Uwe Titt; Harald Paganetti; Matthew Kerr; Osama Mawlawi
Journal:  Phys Med Biol       Date:  2013-10-08       Impact factor: 3.609

9.  Development of proton computed tomography detectors for applications in hadron therapy.

Authors:  Vladimir A Bashkirov; Robert P Johnson; Hartmut F-W Sadrozinski; Reinhard W Schulte
Journal:  Nucl Instrum Methods Phys Res A       Date:  2015-08-08       Impact factor: 1.455

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

Authors:  Jongmin Cho; Geoffrey Ibbott; Michael Gillin; Carlos Gonzalez-Lepera; Chul Hee Min; Xuping Zhu; Georges El Fakhri; Harald Paganetti; Osama Mawlawi
Journal:  Phys Med Biol       Date:  2013-05-16       Impact factor: 3.609

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