Literature DB >> 30474618

Revisiting the single-energy CT calibration for proton therapy treatment planning: a critical look at the stoichiometric method.

Carles Gomà1, Isabel P Almeida, Frank Verhaegen.   

Abstract

Despite extensive research in dual-energy computed tomography (CT), single-energy CT (SECT) is still the standard imaging modality in proton therapy treatment planning and, in this context, the stoichiometric calibration method is considered to be the most accurate to establish a relationship between CT numbers and proton stopping power. This work revisits the SECT calibration for proton therapy treatment planning, with special emphasis on the stoichiometric method. Three different sets of tissue-substitutes of known elemental composition (Gammex, CIRS and Catphan) were scanned with the same scanning protocol. A stoichiometric fit was performed for each set of tissue-substitutes. Based on that, the CT number, relative electron density and relative proton stopping power were calculated for ICRU 46 biological tissues and the different sets of tissue-substitutes. Despite common belief, it was found that the stoichiometric fit depends on the elemental composition of the tissue-substitutes used in the calibration, leading to differences in relative stopping power up to 3.5% for cortical bone. In addition, according to Rutherford et al (1976 Neuroradiology 11 15-21) parametrization of the atomic cross-section, CT numbers of Gammex tissue-substitutes and ICRU 46 biological tissues were found to be similar within the whole energy range relevant to computed tomography. Consequently, it was found that, for Gammex tissue-substitutes, the CT calibration curve resulting from the stoichiometric method agrees with that obtained by simple interpolation of experimental data. In conclusion, the stoichiometric method for SECT calibration seems to depend on the tissue-substitutes used for calibration-which could be regarded as an additional source of uncertainty in proton range for bone tissues. Furthermore, Gammex tissue-substitutes appear to be a good representative of biological tissues within the energy range relevant to computed tomography-making the stoichiometric method unnecessary.

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Year:  2018        PMID: 30474618     DOI: 10.1088/1361-6560/aaede5

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


  8 in total

Review 1.  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

2.  Physical density estimations of single- and dual-energy CT using material-based forward projection algorithm: a simulation study.

Authors:  Kai-Wen Li; Daiyu Fujiwara; Akihiro Haga; Huisheng Liu; Li-Sheng Geng
Journal:  Br J Radiol       Date:  2021-09-29       Impact factor: 3.039

3.  The accuracy of helium ion CT based particle therapy range prediction: an experimental study comparing different particle and x-ray CT modalities.

Authors:  L Volz; C-A Collins-Fekete; E Bär; S Brons; C Graeff; R P Johnson; A Runz; C Sarosiek; R W Schulte; J Seco
Journal:  Phys Med Biol       Date:  2021-11-29       Impact factor: 3.609

4.  Potential of a Second-Generation Dual-Layer Spectral CT for Dose Calculation in Particle Therapy Treatment Planning.

Authors:  Friderike K Longarino; Antonia Kowalewski; Thomas Tessonnier; Stewart Mein; Benjamin Ackermann; Jürgen Debus; Andrea Mairani; Wolfram Stiller
Journal:  Front Oncol       Date:  2022-04-20       Impact factor: 5.738

5.  Dosimetric evaluation of cone-beam CT-based synthetic CTs in pediatric patients undergoing intensity-modulated proton therapy.

Authors:  Khadija Sheikh; Dezhi Liu; Heng Li; Sahaja Acharya; Matthew M Ladra; William T Hrinivich
Journal:  J Appl Clin Med Phys       Date:  2022-04-12       Impact factor: 2.243

6.  Impact of beam-hardening corrections on proton relative stopping power estimates from single- and dual-energy CT.

Authors:  Michael S Chacko; Dee Wu; Hardev S Grewal; Jagadeesh R Sonnad
Journal:  J Appl Clin Med Phys       Date:  2022-07-11       Impact factor: 2.243

7.  Development of clinical application program for radiotherapy induced cancer risk calculation using Monte Carlo engine in volumetric-modulated arc therapy.

Authors:  Dong-Jin Kang; Young-Joo Shin; Seonghoon Jeong; Jae-Yong Jung; Hakjae Lee; Boram Lee
Journal:  Radiat Oncol       Date:  2021-06-12       Impact factor: 3.481

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

Authors:  Jessica E Scholey; Dharshan Chandramohan; Tarun Naren; William Liu; Peder Eric Zufall Larson; Atchar Sudhyadhom
Journal:  Med Phys       Date:  2020-11-20       Impact factor: 4.071

  8 in total

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