Literature DB >> 25652506

Feasibility of RACT for 3D dose measurement and range verification in a water phantom.

Fahed Alsanea1, Vadim Moskvin2, Keith M Stantz3.   

Abstract

PURPOSE: The objective of this study is to establish the feasibility of using radiation-induced acoustics to measure the range and Bragg peak dose from a pulsed proton beam. Simulation studies implementing a prototype scanner design based on computed tomographic methods were performed to investigate the sensitivity to proton range and integral dose.
METHODS: Derived from thermodynamic wave equation, the pressure signals generated from the dose deposited from a pulsed proton beam with a 1 cm lateral beam width and a range of 16, 20, and 27 cm in water using Monte Carlo methods were simulated. The resulting dosimetric images were reconstructed implementing a 3D filtered backprojection algorithm and the pressure signals acquired from a 71-transducer array with a cylindrical geometry (30 × 40 cm) rotated over 2π about its central axis. Dependencies on the detector bandwidth and proton beam pulse width were performed, after which, different noise levels were added to the detector signals (using 1 μs pulse width and a 0.5 MHz cutoff frequency/hydrophone) to investigate the statistical and systematic errors in the proton range (at 20 cm) and Bragg peak dose (of 1 cGy).
RESULTS: The reconstructed radioacoustic computed tomographic image intensity was shown to be linearly correlated to the dose within the Bragg peak. And, based on noise dependent studies, a detector sensitivity of 38 mPa was necessary to determine the proton range to within 1.0 mm (full-width at half-maximum) (systematic error < 150 μm) for a 1 cGy Bragg peak dose, where the integral dose within the Bragg peak was measured to within 2%. For existing hydrophone detector sensitivities, a Bragg peak dose of 1.6 cGy is possible.
CONCLUSIONS: This study demonstrates that computed tomographic scanner based on ionizing radiation-induced acoustics can be used to verify dose distribution and proton range with centi-Gray sensitivity. Realizing this technology into the clinic has the potential to significantly impact beam commissioning, treatment verification during particle beam therapy and image guided techniques.

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Year:  2015        PMID: 25652506     DOI: 10.1118/1.4906241

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


  7 in total

1.  Theoretical detection threshold of the proton-acoustic range verification technique.

Authors:  Moiz Ahmad; Liangzhong Xiang; Siavash Yousefi; Lei Xing
Journal:  Med Phys       Date:  2015-10       Impact factor: 4.071

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

Authors:  Kevin C Jones; Wei Nie; James C H Chu; Julius V Turian; Alireza Kassaee; Chandra M Sehgal; Stephen Avery
Journal:  Phys Med Biol       Date:  2018-01-11       Impact factor: 3.609

3.  Proton range verification in homogeneous materials through acoustic measurements.

Authors:  Wei Nie; Kevin C Jones; Scott Petro; Alireza Kassaee; Chandra M Sehgal; Stephen Avery
Journal:  Phys Med Biol       Date:  2018-01-17       Impact factor: 3.609

Review 4.  Empowering Intensity Modulated Proton Therapy Through Physics and Technology: An Overview.

Authors:  Radhe Mohan; Indra J Das; Clifton C Ling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-10-01       Impact factor: 7.038

5.  Ionoacoustic tomography of the proton Bragg peak in combination with ultrasound and optoacoustic imaging.

Authors:  Stephan Kellnberger; Walter Assmann; Sebastian Lehrack; Sabine Reinhardt; Peter Thirolf; Daniel Queirós; George Sergiadis; Günther Dollinger; Katia Parodi; Vasilis Ntziachristos
Journal:  Sci Rep       Date:  2016-07-07       Impact factor: 4.379

6.  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

7.  An ultrasound based platform for image-guided radiotherapy in canine bladder cancer patients.

Authors:  Justin T Sick; Nicholas J Rancilio; Caroline V Fulkerson; Jeannie M Plantenga; Deborah W Knapp; Keith M Stantz
Journal:  Phys Imaging Radiat Oncol       Date:  2019-11-15
  7 in total

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