Literature DB >> 8685250

The calibration of CT Hounsfield units for radiotherapy treatment planning.

U Schneider1, E Pedroni, A Lomax.   

Abstract

Computer tomographic (CT) scans are used to correct for tissue inhomogeneities in radiotherapy treatment planning. In order to guarantee a precise treatment, it is important to obtain the relationship between CT Hounsfield units and electron densities (or proton stopping powers for proton radiotherapy), which is the basic input for radiotherapy planning systems which consider tissue heterogeneities. A method is described to determine improved CT calibrations for biological tissue (a stoichiometric calibration) based on measurements using tissue equivalent materials. The precision of this stoichiometric calibration and the more usual tissue substitute calibration is determined by a comparison of calculated proton radiographic images based on these calibrations and measured radiographs of a biological sample. It has been found that the stoichiometric calibration is more precise than the tissue substitute calibration.

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Year:  1996        PMID: 8685250     DOI: 10.1088/0031-9155/41/1/009

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


  152 in total

1.  The NAC proton treatment planning system.

Authors:  A N Schreuder; D T Jones; J E Symons; E A De Kock; J K Hough; J Wilson; F J Vernimmen; W Schlegel; A Höss; M Lee
Journal:  Strahlenther Onkol       Date:  1999-06       Impact factor: 3.621

2.  A generalized calibration procedure for in vivo transit dosimetry using siemens electronic portal imaging devices.

Authors:  Andrea Fidanzio; Francesca Greco; Laura Gargiulo; Savino Cilla; Domenico Sabatino; Massimo Cappiello; Cinzia Di Felice; Elisabetta Di Castro; Luigi Azario; Mariateresa Russo; Luciano Pompei; Guido D'Onofrio; Angelo Piermattei
Journal:  Med Biol Eng Comput       Date:  2010-11-04       Impact factor: 2.602

3.  Proton dose calculation on scatter-corrected CBCT image: Feasibility study for adaptive proton therapy.

Authors:  Yang-Kyun Park; Gregory C Sharp; Justin Phillips; Brian A Winey
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

4.  A linear, separable two-parameter model for dual energy CT imaging of proton stopping power computation.

Authors:  Dong Han; Jeffrey V Siebers; Jeffrey F Williamson
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

5.  Murine vs human tissue compositions: implications of using human tissue compositions for photon energy absorption in mice.

Authors:  Lotte Ejr Schyns; Daniëlle Bp Eekers; Brent van der Heyden; Isabel P Almeida; Ana Vaniqui; Frank Verhaegen
Journal:  Br J Radiol       Date:  2018-11-30       Impact factor: 3.039

6.  Validation of a Monte Carlo tool for patient-specific dose simulations in multi-slice computed tomography.

Authors:  Paul Deak; Marcel van Straten; Paul C Shrimpton; Maria Zankl; Willi A Kalender
Journal:  Eur Radiol       Date:  2007-12-08       Impact factor: 5.315

7.  Influence of intravenous contrast agent on dose calculation in 3-D treatment planning for radiosurgery of cerebral arteriovenous malformations.

Authors:  Angelika Zabel-du Bois; Benjamin Ackermann; Henrik Hauswald; Oliver Schramm; Gabriele Sroka-Perez; Peter Huber; Jürgen Debus; Stefanie Milker-Zabel
Journal:  Strahlenther Onkol       Date:  2009-05-15       Impact factor: 3.621

8.  Reducing the sensitivity of IMPT treatment plans to setup errors and range uncertainties via probabilistic treatment planning.

Authors:  Jan Unkelbach; Thomas Bortfeld; Benjamin C Martin; Martin Soukup
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

9.  Quality assurance evaluation of spot scanning beam proton therapy with an anthropomorphic prostate phantom.

Authors:  K Iqbal; M Gillin; P A Summers; S Dhanesar; K A Gifford; S A Buzdar
Journal:  Br J Radiol       Date:  2013-09-18       Impact factor: 3.039

10.  Helium CT: Monte Carlo simulation results for an ideal source and detector with comparison to proton CT.

Authors:  Pierluigi Piersimoni; Bruce A Faddegon; José Ramos Méndez; Reinhard W Schulte; Lennart Volz; Joao Seco
Journal:  Med Phys       Date:  2018-05-20       Impact factor: 4.071

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