Literature DB >> 31081542

Determination of proton stopping power ratio with dual-energy CT in 3D-printed tissue/air cavity surrogates.

Jerimy C Polf1, Matthew M Mille2, Sina Mossahebi1, Haijian Chen1, Paul Maggi1, Huaiyu Chen-Mayer3.   

Abstract

PURPOSE: To study the accuracy with which proton stopping power ratio (SPR) can be determined with dual-energy computed tomography (DECT) for small structures and bone-tissue-air interfaces like those found in the head or in the neck.
METHODS: Hollow cylindrical polylactic acid (PLA) plugs (3 cm diameter, 5 cm height) were 3D printed containing either one or three septa with thicknesses tsepta  = 0.8, 1.6, 3.2, and 6.4 mm running along the length of the plug. The cylinders were inserted individually into a tissue-equivalent head phantom (16 cm diameter, 5 cm height). First, DECT scans were obtained using a Siemens SOMATOM Definition Edge CT scanner. Effective atomic number (Zeff ) and electron density (ρe ) images were reconstructed from the DECT to produce SPR-CT images of each plug. Second, independent elemental composition analysis of the PLA plastic was used to determine the Zeff and ρe for calculating the theoretical SPR (SPR-TH) using the Bethe-Bloch equation. Finally, for each plug, a direct measurement of SPR (SPR-DM) was obtained in a clinical proton beam. The values of SPR-CT, SPR-TH, and SPR-DM were compared.
RESULTS: The SPR-CT for PLA agreed with SPR-DM for tsepta  ≥ 3 mm (for CT slice thicknesses of 0.5, 1.0, and 3.0 mm). The density of PLA was found to decrease with thickness when tsepta  < 3 mm. As tsepta (and density) decreased, the SPR-CT values also decreased, in good agreement with SPR-DM and SPR-TH.
CONCLUSION: Overall, the DECT-based SPR-CT was within 3% of SPR-TH and SPR-DM in the high-density gradient regions of the 3D-printed plugs for septa greater than ~ 3mm in thickness.
© 2019 American Association of Physicists in Medicine.

Entities:  

Keywords:  3D printing; dual energy CT; proton therapy; stopping power ratio

Mesh:

Substances:

Year:  2019        PMID: 31081542      PMCID: PMC6625856          DOI: 10.1002/mp.13587

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


  25 in total

1.  Deriving effective atomic numbers from DECT based on a parameterization of the ratio of high and low linear attenuation coefficients.

Authors:  Guillaume Landry; Joao Seco; Mathieu Gaudreault; Frank Verhaegen
Journal:  Phys Med Biol       Date:  2013-09-11       Impact factor: 3.609

2.  Experimental verification of ion stopping power prediction from dual energy CT data in tissue surrogates.

Authors:  Nora Hünemohr; Bernhard Krauss; Christoph Tremmel; Benjamin Ackermann; Oliver Jäkel; Steffen Greilich
Journal:  Phys Med Biol       Date:  2013-12-12       Impact factor: 3.609

Review 3.  In vivo proton range verification: a review.

Authors:  Antje-Christin Knopf; Antony Lomax
Journal:  Phys Med Biol       Date:  2013-07-17       Impact factor: 3.609

4.  Ion range estimation by using dual energy computed tomography.

Authors:  Nora Hünemohr; Bernhard Krauss; Julien Dinkel; Clarissa Gillmann; Benjamin Ackermann; Oliver Jäkel; Steffen Greilich
Journal:  Z Med Phys       Date:  2013-04-15       Impact factor: 4.820

5.  Tissue decomposition from dual energy CT data for MC based dose calculation in particle therapy.

Authors:  Nora Hünemohr; Harald Paganetti; Steffen Greilich; Oliver Jäkel; Joao Seco
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

Review 6.  Dual energy CT in radiotherapy: Current applications and future outlook.

Authors:  Wouter van Elmpt; Guillaume Landry; Marco Das; Frank Verhaegen
Journal:  Radiother Oncol       Date:  2016-03-11       Impact factor: 6.280

7.  Theoretical variance analysis of single- and dual-energy computed tomography methods for calculating proton stopping power ratios of biological tissues.

Authors:  M Yang; G Virshup; J Clayton; X R Zhu; R Mohan; L Dong
Journal:  Phys Med Biol       Date:  2010-02-10       Impact factor: 3.609

8.  Comprehensive analysis of proton range uncertainties related to patient stopping-power-ratio estimation using the stoichiometric calibration.

Authors:  Ming Yang; X Ronald Zhu; Peter C Park; Uwe Titt; Radhe Mohan; Gary Virshup; James E Clayton; Lei Dong
Journal:  Phys Med Biol       Date:  2012-06-07       Impact factor: 3.609

9.  Comparison of proton therapy treatment planning for head tumors with a pencil beam algorithm on dual and single energy CT images.

Authors:  Nace Hudobivnik; Florian Schwarz; Thorsten Johnson; Linda Agolli; George Dedes; Thomas Tessonnier; Frank Verhaegen; Christian Thieke; Claus Belka; Wieland H Sommer; Katia Parodi; Guillaume Landry
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

Review 10.  Range uncertainties in proton therapy and the role of Monte Carlo simulations.

Authors:  Harald Paganetti
Journal:  Phys Med Biol       Date:  2012-05-09       Impact factor: 3.609

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  3 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.  Evaluation of Stopping Power Ratio Calculation Using Dual-energy Computed Tomography With Fast Kilovoltage Switching for Treatment Planning of Particle Therapy.

Authors:  Shingo Ohira; Yasuhiro Imai; Yuhei Koike; Shunsuke Ono; Yoshihiro Ueda; Masayoshi Miyazaki; Masahiko Koizumi; Koji Konishi
Journal:  In Vivo       Date:  2022 Jan-Feb       Impact factor: 2.155

3.  Initial Validation of Proton Dose Calculations on SPR Images from DECT in Treatment Planning System.

Authors:  Sina Mossahebi; Pouya Sabouri; Haijian Chen; Michelle Mundis; Matthew O'Neil; Paul Maggi; Jerimy C Polf
Journal:  Int J Part Ther       Date:  2020-11-23
  3 in total

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