Literature DB >> 28094862

Software platform for simulation of a prototype proton CT scanner.

Valentina Giacometti1,2, Vladimir A Bashkirov2, Pierluigi Piersimoni3, Susanna Guatelli1, Tia E Plautz4, Hartmut F-W Sadrozinski4, Robert P Johnson4, Andriy Zatserklyaniy4, Thomas Tessonnier5,6, Katia Parodi6,7, Anatoly B Rosenfeld1, Reinhard W Schulte2,3.   

Abstract

PURPOSE: Proton computed tomography (pCT) is a promising imaging technique to substitute or at least complement x-ray CT for more accurate proton therapy treatment planning as it allows calculating directly proton relative stopping power from proton energy loss measurements. A proton CT scanner with a silicon-based particle tracking system and a five-stage scintillating energy detector has been completed. In parallel a modular software platform was developed to characterize the performance of the proposed pCT.
METHOD: The modular pCT software platform consists of (1) a Geant4-based simulation modeling the Loma Linda proton therapy beam line and the prototype proton CT scanner, (2) water equivalent path length (WEPL) calibration of the scintillating energy detector, and (3) image reconstruction algorithm for the reconstruction of the relative stopping power (RSP) of the scanned object. In this work, each component of the modular pCT software platform is described and validated with respect to experimental data and benchmarked against theoretical predictions. In particular, the RSP reconstruction was validated with both experimental scans, water column measurements, and theoretical calculations.
RESULTS: The results show that the pCT software platform accurately reproduces the performance of the existing prototype pCT scanner with a RSP agreement between experimental and simulated values to better than 1.5%.
CONCLUSIONS: The validated platform is a versatile tool for clinical proton CT performance and application studies in a virtual setting. The platform is flexible and can be modified to simulate not yet existing versions of pCT scanners and higher proton energies than those currently clinically available.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  Geant4; image reconstruction; proton computed tomography; stopping power

Mesh:

Substances:

Year:  2017        PMID: 28094862      PMCID: PMC9059774          DOI: 10.1002/mp.12107

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.506


  19 in total

1.  Total variation superiorization schemes in proton computed tomography image reconstruction.

Authors:  S N Penfold; R W Schulte; Y Censor; A B Rosenfeld
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

2.  The proton treatment center at Loma Linda University Medical Center: rationale for and description of its development.

Authors:  J M Slater; J O Archambeau; D W Miller; M I Notarus; W Preston; J D Slater
Journal:  Int J Radiat Oncol Biol Phys       Date:  1992       Impact factor: 7.038

3.  A maximum likelihood proton path formalism for application in proton computed tomography.

Authors:  R W Schulte; S N Penfold; J T Tafas; K E Schubert
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

4.  Filtered backprojection proton CT reconstruction along most likely paths.

Authors:  Simon Rit; George Dedes; Nicolas Freud; David Sarrut; Jean Michel Létang
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

5.  Computed tomography using proton energy loss.

Authors:  K M Hanson; J N Bradbury; T M Cannon; R L Hutson; D B Laubacher; R J Macek; M A Paciotti; C A Taylor
Journal:  Phys Med Biol       Date:  1981-11       Impact factor: 3.609

6.  A comprehensive study on the relationship between the image quality and imaging dose in low-dose cone beam CT.

Authors:  Hao Yan; Laura Cervino; Xun Jia; Steve B Jiang
Journal:  Phys Med Biol       Date:  2012-04-07       Impact factor: 3.609

7.  Water-equivalent path length calibration of a prototype proton CT scanner.

Authors:  R F Hurley; R W Schulte; V A Bashkirov; A J Wroe; A Ghebremedhin; H F-W Sadrozinski; V Rykalin; G Coutrakon; P Koss; B Patyal
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

8.  Overview of the LLUMC/UCSC/CSUSB Phase 2 Proton CT Project.

Authors:  R W Schulte; V Bashkirov; R Johnson; H F-W Sadrozinski; K E Schubert
Journal:  Trans Am Nucl Soc       Date:  2012

9.  A Fast Experimental Scanner for Proton CT: Technical Performance and First Experience with Phantom Scans.

Authors:  Robert P Johnson; Vladimir Bashkirov; Langley DeWitt; Valentina Giacometti; Robert F Hurley; Pierluigi Piersimoni; Tia E Plautz; Hartmut F-W Sadrozinski; Keith Schubert; Reinhard Schulte; Blake Schultze; Andriy Zatserklyaniy
Journal:  IEEE Trans Nucl Sci       Date:  2015-12-10       Impact factor: 1.679

10.  Development of a Head Scanner for Proton CT.

Authors:  H F-W Sadrozinski; R P Johnson; S Macafee; A Plumb; D Steinberg; A Zatserklyaniy; V Bashkirov F Hurley; R Schulte
Journal:  Nucl Instrum Methods Phys Res A       Date:  2012-04-13       Impact factor: 1.455

View more
  12 in total

1.  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 2.  In vivo range verification in particle therapy.

Authors:  Katia Parodi; Jerimy C Polf
Journal:  Med Phys       Date:  2018-11       Impact factor: 4.071

3.  Development of a high resolution voxelised head phantom for medical physics applications.

Authors:  V Giacometti; S Guatelli; M Bazalova-Carter; A B Rosenfeld; R W Schulte
Journal:  Phys Med       Date:  2017-01-17       Impact factor: 2.685

4.  An Improved Method of Total Variation Superiorization Applied to Reconstruction in Proton Computed Tomography.

Authors:  Blake Schultze; Yair Censor; Paniz Karbasi; Keith E Schubert; Reinhard W Schulte
Journal:  IEEE Trans Med Imaging       Date:  2019-04-16       Impact factor: 10.048

5.  Fast In Situ Image Reconstruction for Proton Radiography.

Authors:  Caesar E Ordoñez; Nicholas T Karonis; Kirk L Duffin; John R Winans; Ethan A DeJongh; Don F DeJongh; George Coutrakon; Nicole F Myers; Mark Pankuch; James S Welsh
Journal:  J Radiat Oncol       Date:  2019-05-25

6.  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

7.  An Iterative Least Squares Method for Proton CT Image Reconstruction.

Authors:  Don F DeJongh; Ethan A DeJongh
Journal:  IEEE Trans Radiat Plasma Med Sci       Date:  2021-05-11

8.  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

9.  The impact of secondary fragments on the image quality of helium ion imaging.

Authors:  Lennart Volz; Pierluigi Piersimoni; Vladimir A Bashkirov; Stephan Brons; Charles-Antoine Collins-Fekete; Robert P Johnson; Reinhard W Schulte; Joao Seco
Journal:  Phys Med Biol       Date:  2018-10-02       Impact factor: 3.609

10.  Analysis of characteristics of images acquired with a prototype clinical proton radiography system.

Authors:  Christina Sarosiek; Ethan A DeJongh; George Coutrakon; Don F DeJongh; Kirk L Duffin; Nicholas T Karonis; Caesar E Ordoñez; Mark Pankuch; Victor Rykalin; John R Winans; James S Welsh
Journal:  Med Phys       Date:  2021-03-22       Impact factor: 4.071

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.