Literature DB >> 29176057

Acoustic-based proton range verification in heterogeneous tissue: simulation studies.

Kevin C Jones1, Wei Nie, James C H Chu, Julius V Turian, Alireza Kassaee, Chandra M Sehgal, Stephen Avery.   

Abstract

Acoustic-based proton range verification (protoacoustics) is a potential in vivo technique for determining the Bragg peak position. Previous measurements and simulations have been restricted to homogeneous water tanks. Here, a CT-based simulation method is proposed and applied to a liver and prostate case to model the effects of tissue heterogeneity on the protoacoustic amplitude and time-of-flight range verification accuracy. For the liver case, posterior irradiation with a single proton pencil beam was simulated for detectors placed on the skin. In the prostate case, a transrectal probe measured the protoacoustic pressure generated by irradiation with five separate anterior proton beams. After calculating the proton beam dose deposition, each CT voxel's material properties were mapped based on Hounsfield Unit values, and thermoacoustically-generated acoustic wave propagation was simulated with the k-Wave MATLAB toolbox. By comparing the simulation results for the original liver CT to homogenized variants, the effects of heterogeneity were assessed. For the liver case, 1.4 cGy of dose at the Bragg peak generated 50 mPa of pressure (13 cm distal), a 2×  lower amplitude than simulated in a homogeneous water tank. Protoacoustic triangulation of the Bragg peak based on multiple detector measurements resulted in 0.4 mm accuracy for a δ-function proton pulse irradiation of the liver. For the prostate case, higher amplitudes are simulated (92-1004 mPa) for closer detectors (<8 cm). For four of the prostate beams, the protoacoustic range triangulation was accurate to  ⩽1.6 mm (δ-function proton pulse). Based on the results, application of protoacoustic range verification to heterogeneous tissue will result in decreased signal amplitudes relative to homogeneous water tank measurements, but accurate range verification is still expected to be possible.

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Year:  2018        PMID: 29176057      PMCID: PMC5815855          DOI: 10.1088/1361-6560/aa9d16

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


  30 in total

1.  Modeling power law absorption and dispersion for acoustic propagation using the fractional Laplacian.

Authors:  Bradley E Treeby; B T Cox
Journal:  J Acoust Soc Am       Date:  2010-05       Impact factor: 1.840

2.  Imaging of prompt gamma rays emitted during delivery of clinical proton beams with a Compton camera: feasibility studies for range verification.

Authors:  Jerimy C Polf; Stephen Avery; Dennis S Mackin; Sam Beddar
Journal:  Phys Med Biol       Date:  2015-08-28       Impact factor: 3.609

3.  Proton range verification through prompt gamma-ray spectroscopy.

Authors:  Joost M Verburg; Joao Seco
Journal:  Phys Med Biol       Date:  2014-11-03       Impact factor: 3.609

4.  Proton beam characterization by proton-induced acoustic emission: simulation studies.

Authors:  K C Jones; A Witztum; C M Sehgal; S Avery
Journal:  Phys Med Biol       Date:  2014-10-16       Impact factor: 3.609

5.  Submillimeter ionoacoustic range determination for protons in water at a clinical synchrocyclotron.

Authors:  Sebastian Lehrack; Walter Assmann; Damien Bertrand; Sebastien Henrotin; Joel Herault; Vincent Heymans; Francois Vander Stappen; Peter G Thirolf; Marie Vidal; Jarno Van de Walle; Katia Parodi
Journal:  Phys Med Biol       Date:  2017-08-18       Impact factor: 3.609

6.  Sensitivity of simulated transcranial ultrasound fields to acoustic medium property maps.

Authors:  James Robertson; Eleanor Martin; Ben Cox; Bradley E Treeby
Journal:  Phys Med Biol       Date:  2017-02-06       Impact factor: 3.609

7.  Towards clinical application: prompt gamma imaging of passively scattered proton fields with a knife-edge slit camera.

Authors:  M Priegnitz; S Barczyk; L Nenoff; C Golnik; I Keitz; T Werner; S Mein; J Smeets; F Vander Stappen; G Janssens; L Hotoiu; F Fiedler; D Prieels; W Enghardt; G Pausch; C Richter
Journal:  Phys Med Biol       Date:  2016-10-25       Impact factor: 3.609

8.  Acoustic time-of-flight for proton range verification in water.

Authors:  Kevin C Jones; François Vander Stappen; Chandra M Sehgal; Stephen Avery
Journal:  Med Phys       Date:  2016-09       Impact factor: 4.071

9.  A high resolution computer model for sound propagation in the human thorax based on the Visible Human data set.

Authors:  C Narasimhan; Richard Ward; Kara L Kruse; Murthy Guddati; G Mahinthakumar
Journal:  Comput Biol Med       Date:  2004-03       Impact factor: 4.589

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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  6 in total

1.  Engineering the Echogenic Properties of Microfluidic Microbubbles Using Mixtures of Recombinant Protein and Amphiphilic Copolymers.

Authors:  Zhuo Chen; Katherine W Pulsipher; Rajarshi Chattaraj; Daniel A Hammer; Chandra M Sehgal; Daeyeon Lee
Journal:  Langmuir       Date:  2019-02-27       Impact factor: 3.882

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

Review 3.  Latest developments in in-vivo imaging for proton therapy.

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

4.  A novel range-verification method using ionoacoustic wave generated from spherical gold markers for particle-beam therapy: a simulation study.

Authors:  Taisuke Takayanagi; Tomoki Uesaka; Masanori Kitaoka; Mehmet Burcin Unlu; Kikuo Umegaki; Hiroki Shirato; Lei Xing; Taeko Matsuura
Journal:  Sci Rep       Date:  2019-03-08       Impact factor: 4.379

5.  On-line range verification for proton beam therapy using spherical ionoacoustic waves with resonant frequency.

Authors:  Taisuke Takayanagi; Tomoki Uesaka; Yuta Nakamura; Mehmet Burcin Unlu; Yasutoshi Kuriyama; Tomonori Uesugi; Yoshihiro Ishi; Nobuki Kudo; Masanori Kobayashi; Kikuo Umegaki; Satoshi Tomioka; Taeko Matsuura
Journal:  Sci Rep       Date:  2020-11-23       Impact factor: 4.379

6.  Proton range monitoring using 13N peak for proton therapy applications.

Authors:  M Rafiqul Islam; Mehrdad Shahmohammadi Beni; Chor-Yi Ng; Masayasu Miyake; Mahabubur Rahman; Shigeki Ito; Shinichi Gotoh; Taiga Yamaya; Hiroshi Watabe
Journal:  PLoS One       Date:  2022-02-15       Impact factor: 3.240

  6 in total

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