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Monte Carlo study of a 3D Compton imaging device with GEANT4

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Title: Monte Carlo study of a 3D Compton imaging device with GEANT4
Authors: Lenti, M.1 lenti@fi.infn.it, Veltri, M.1,2 michele.veltri@uniurb.it
Source: Nuclear Instruments & Methods in Physics Research Section A. Oct2011, Vol. 654 Issue 1, p560-568. 9p.
Subjects: Photon scattering, Monte Carlo method, Imaging systems, Compton effect, Nondestructive testing, Germanium diodes, Gamma rays, Brain imaging
Abstract: Abstract: In this paper we investigate, with a detailed Monte Carlo simulation based on Geant4, the novel approach of Lenti (2008) to 3D imaging with photon scattering. A monochromatic and well collimated gamma beam is used to illuminate the object to be imaged and the photons Compton scattered are detected by means of a surrounding germanium strip detector. The impact position and the energy of the photons are measured with high precision and the scattering position along the beam axis is calculated. We study as an application of this technique the case of brain imaging but the results can be applied as well to situations where a lighter object, with localized variations of density, is embedded in a denser container. We report here the attainable sensitivity in the detection of density variations as a function of the beam energy, the depth inside the object and size and density of the inclusions. Using a 600keV gamma beam, for an inclusion with a density increase of 30% with respect to the surrounding tissue and thickness along the beam of 5mm, we obtain at midbrain position a resolution of about 2mm and a contrast of 12%. In addition the simulation indicates that for the same gamma beam energy a complete brain scan would result in an effective dose of about 1mSv. [Copyright &y& Elsevier]
Copyright of Nuclear Instruments & Methods in Physics Research Section A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Monte Carlo study of a 3D Compton imaging device with GEANT4
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  Data: <searchLink fieldCode="AR" term="%22Lenti%2C+M%2E%22">Lenti, M.</searchLink><relatesTo>1</relatesTo><i> lenti@fi.infn.it</i><br /><searchLink fieldCode="AR" term="%22Veltri%2C+M%2E%22">Veltri, M.</searchLink><relatesTo>1,2</relatesTo><i> michele.veltri@uniurb.it</i>
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  Data: <searchLink fieldCode="JN" term="%22Nuclear+Instruments+%26+Methods+in+Physics+Research+Section+A%22">Nuclear Instruments & Methods in Physics Research Section A</searchLink>. Oct2011, Vol. 654 Issue 1, p560-568. 9p.
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  Data: <searchLink fieldCode="DE" term="%22Photon+scattering%22">Photon scattering</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Imaging+systems%22">Imaging systems</searchLink><br /><searchLink fieldCode="DE" term="%22Compton+effect%22">Compton effect</searchLink><br /><searchLink fieldCode="DE" term="%22Nondestructive+testing%22">Nondestructive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Germanium+diodes%22">Germanium diodes</searchLink><br /><searchLink fieldCode="DE" term="%22Gamma+rays%22">Gamma rays</searchLink><br /><searchLink fieldCode="DE" term="%22Brain+imaging%22">Brain imaging</searchLink>
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  Data: Abstract: In this paper we investigate, with a detailed Monte Carlo simulation based on Geant4, the novel approach of Lenti (2008) to 3D imaging with photon scattering. A monochromatic and well collimated gamma beam is used to illuminate the object to be imaged and the photons Compton scattered are detected by means of a surrounding germanium strip detector. The impact position and the energy of the photons are measured with high precision and the scattering position along the beam axis is calculated. We study as an application of this technique the case of brain imaging but the results can be applied as well to situations where a lighter object, with localized variations of density, is embedded in a denser container. We report here the attainable sensitivity in the detection of density variations as a function of the beam energy, the depth inside the object and size and density of the inclusions. Using a 600keV gamma beam, for an inclusion with a density increase of 30% with respect to the surrounding tissue and thickness along the beam of 5mm, we obtain at midbrain position a resolution of about 2mm and a contrast of 12%. In addition the simulation indicates that for the same gamma beam energy a complete brain scan would result in an effective dose of about 1mSv. [Copyright &y& Elsevier]
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  Label:
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  Data: <i>Copyright of Nuclear Instruments & Methods in Physics Research Section A is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.nima.2011.06.060
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        Text: English
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        Type: general
      – SubjectFull: Monte Carlo method
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      – SubjectFull: Imaging systems
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      – SubjectFull: Compton effect
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      – SubjectFull: Nondestructive testing
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      – SubjectFull: Germanium diodes
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      – SubjectFull: Gamma rays
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      – SubjectFull: Brain imaging
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              Text: Oct2011
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