Literature DB >> 15719970

Patient specific optimization of the relation between CT-hounsfield units and proton stopping power with proton radiography.

Uwe Schneider1, Peter Pemler, Jürgen Besserer, Eros Pedroni, Antony Lomax, Barbara Kaser-Hotz.   

Abstract

The purpose of this work is to show the feasibility of using in vivo proton radiography of a radiotherapy patient for the patient individual optimization of the calibration from CT-Hounsfield units to relative proton stopping power. Water equivalent tissue (WET) calibrated proton radiographs of a dog patient treated for a nasal tumor were used as baseline in comparison with integrated proton stopping power through the calibrated CT of the dog. In an optimization procedure starting with a stoichiometric calibration curve, the calibration was modified randomly. The result of this iteration is an optimized calibration curve which was used to recalculate the dose distribution of the patient. One result of this experiment was that the mean value of the deviations between WET calculations based on the stoichiometric calibration curve and the measurements was shifted systematically away from zero. The calibration produced by the optimization procedure reduced this shift to around 0.4 mm. Another result was that the precision of the calibration, reflected as the standard deviation of the normally distributed deviations between WET calculation and measurement, could be reduced from 7.9 to 6.7 mm with the optimized calibration. The dose distributions based on the two calibration curves showed major deviations at the distal end of the target volume.

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Year:  2005        PMID: 15719970     DOI: 10.1118/1.1833041

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


  13 in total

1.  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

2.  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

Review 3.  Status and innovations in pre-treatment CT imaging for proton therapy.

Authors:  Patrick Wohlfahrt; Christian Richter
Journal:  Br J Radiol       Date:  2019-11-11       Impact factor: 3.039

4.  200 MeV proton radiography studies with a hand phantom using a prototype proton CT scanner.

Authors:  Tia Plautz; V Bashkirov; V Feng; F Hurley; R P Johnson; C Leary; S Macafee; A Plumb; V Rykalin; H F-W Sadrozinski; K Schubert; R Schulte; B Schultze; D Steinberg; M Witt; A Zatserklyaniy
Journal:  IEEE Trans Med Imaging       Date:  2014-04       Impact factor: 10.048

5.  New developments in treatment planning and verification of particle beam therapy.

Authors:  Reinhard W Schulte; Andrew J Wroe
Journal:  Transl Cancer Res       Date:  2012-10-01       Impact factor: 1.241

6.  The rationale for intensity-modulated proton therapy in geometrically challenging cases.

Authors:  S Safai; A Trofimov; J A Adams; M Engelsman; T Bortfeld
Journal:  Phys Med Biol       Date:  2013-08-22       Impact factor: 3.609

Review 7.  Latest developments in in-vivo imaging for proton therapy.

Authors:  Katia Parodi
Journal:  Br J Radiol       Date:  2019-12-12       Impact factor: 3.039

8.  Range accuracy in carbon ion treatment planning based on CT-calibration with real tissue samples.

Authors:  Eike Rietzel; Dieter Schardt; Thomas Haberer
Journal:  Radiat Oncol       Date:  2007-03-23       Impact factor: 3.481

Review 9.  Proton radiography and tomography with application to proton therapy.

Authors:  G Poludniowski; N M Allinson; P M Evans
Journal:  Br J Radiol       Date:  2015-06-04       Impact factor: 3.039

10.  Practical considerations in the calibration of CT scanners for proton therapy.

Authors:  Christopher G Ainsley; Caitlyn M Yeager
Journal:  J Appl Clin Med Phys       Date:  2014-05-08       Impact factor: 2.102

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