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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.


CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

Open Access
Online
ISSN
2364-5504
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Stopping power accuracy and achievable spatial resolution of helium ion imaging using a prototype particle CT detector system

Lennart Volz
  • Corresponding author
  • German Cancer Research Center (DKFZ), INF280, 69120 Heidelberg, Germany
  • Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
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/ Charles-Antoine Collins-Fekete
  • Départment de physique, de génie physique et d‘optique et centre de recherche sur le cancer, Université Laval, Québec, Canada
  • Départment de radio-oncologie et CRCHU de Québec, CHU de Québec, Canada
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/ Pierluigi Piersimoni / Robert P. Johnson / Vladimir Bashkirov
  • Division of biomedical engineering sciences, department of basic sciences, Loma Linda University, Loma Linda, USA
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/ Reinhard Schulte
  • Division of biomedical engineering sciences, department of basic sciences, Loma Linda University, Loma Linda, USA
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/ Joao Seco
  • Department of Physics and Astronomy, Heidelberg University, Heidelberg, Germany
  • German Cancer Research Center (DKFZ), Heidelberg, Germany
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Published Online: 2017-09-07 | DOI: https://doi.org/10.1515/cdbme-2017-0084

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 Heidel-berg 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 custom-made 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.

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

About the article

Published Online: 2017-09-07


Citation Information: Current Directions in Biomedical Engineering, Volume 3, Issue 2, Pages 401–404, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2017-0084.

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©2017 Lennart Volz et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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