Literature DB >> 36258816

Stopping power accuracy and achievable spatial resolution of helium ion imaging using a prototype particle CT detector system.

Lennart Volz1,2, Charles-Antoine Collins-Fekete3,4, Pierluigi Piersimoni5, Robert P Johnson6, Vladimir Bashkirov7, Reinhard Schulte7, Joao Seco5,2.   

Abstract

A precise relative stopping power map of the patient is crucial for accurate particle therapy. Charged particle imaging determines the stopping power either tomographically - particle computed tomography (pCT) - or by combining prior knowledge from particle radiography (pRad) and x-ray CT. Generally, multiple Coulomb scattering limits the spatial resolution. Compared to protons, heavier particles scatter less due to their lower charge/mass ratio. A theoretical framework to predict the most likely trajectory of particles in matter was developed for light ions up to carbon and was found to be the most accurate for helium comparing for fixed initial velocity. To further investigate the potential of helium in particle imaging, helium computed tomography (HeCT) and radiography (HeRad) were studied at the Heidelberg Ion-Beam Therapy Centre (HIT) using a prototype pCT detector system registering individual particles, originally developed by the U.S. pCT collaboration. Several phantoms were investigated: modules of the Catphan QA phantom for analysis of spatial resolution and achievable stopping power accuracy, a paediatric head phantom (CIRS) and a custommade phantom comprised of animal meat enclosed in a 2 % agarose mixture representing human tissue. The pCT images were reconstructed applying the CARP iterative reconstruction algorithm. The MTF10% was investigated using a sharp edge gradient technique. HeRad provides a spatial resolution above that of protons (MTF1010%=6.07 lp/cm for HeRad versus MTF10%=3.35 lp/cm for proton radiography). For HeCT, the spatial resolution was limited by the number of projections acquired (90 projections for a full scan). The RSP accuracy for all inserts of the Catphan CTP404 module was found to be 2.5% or better and is subject to further optimisation. In conclusion, helium imaging appears to offer higher spatial resolution compared to proton imaging. In future studies, the advantage of helium imaging compared to other imaging modalities in clinical applications will be further explored.

Entities:  

Keywords:  Computed Tomography; Helium; Particle Imaging; Proton; Radiography; Resolution; Stopping Power

Year:  2017        PMID: 36258816      PMCID: PMC9576402          DOI: 10.1515/cdbme-2017-0084

Source DB:  PubMed          Journal:  Curr Dir Biomed Eng        ISSN: 2364-5504


  13 in total

1.  The measurement of proton stopping power using proton-cone-beam computed tomography.

Authors:  P Zygmanski; K P Gall; M S Rabin; S J Rosenthal
Journal:  Phys Med Biol       Date:  2000-02       Impact factor: 3.609

2.  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

3.  Reconstruction for proton computed tomography by tracing proton trajectories: a Monte Carlo study.

Authors:  Tianfang Li; Zhengrong Liang; Jayalakshmi V Singanallur; Todd J Satogata; David C Williams; Reinhard W Schulte
Journal:  Med Phys       Date:  2006-03       Impact factor: 4.071

4.  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

5.  A comprehensive study of the most likely path formalism for proton-computed tomography.

Authors:  B Erdelyi
Journal:  Phys Med Biol       Date:  2009-09-24       Impact factor: 3.609

6.  Developing a phenomenological model of the proton trajectory within a heterogeneous medium required for proton imaging.

Authors:  Charles-Antoine Collins Fekete; Paul Doolan; Marta F Dias; Luc Beaulieu; Joao Seco
Journal:  Phys Med Biol       Date:  2015-06-10       Impact factor: 3.609

7.  A maximum likelihood method for high resolution proton radiography/proton CT.

Authors:  Charles-Antoine Collins-Fekete; Sébastien Brousmiche; Stephen K N Portillo; Luc Beaulieu; Joao Seco
Journal:  Phys Med Biol       Date:  2016-11-03       Impact factor: 3.609

8.  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

9.  A theoretical framework to predict the most likely ion path in particle imaging.

Authors:  Charles-Antoine Collins-Fekete; Lennart Volz; Stephen K N Portillo; Luc Beaulieu; Joao Seco
Journal:  Phys Med Biol       Date:  2017-01-11       Impact factor: 3.609

10.  Multiple Coulomb scattering and spatial resolution in proton radiography.

Authors:  U Schneider; E Pedroni
Journal:  Med Phys       Date:  1994-11       Impact factor: 4.071

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