Modeling blur in various detector geometries for MeV radiography

Winch, Nicola M.; Watson, Scott Avery; Hunter, James F.

doi:10.1117/12.2249110

Title: Modeling blur in various detector geometries for MeV radiography

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Abstract

Monte Carlo transport codes have been used to model the detector blur and energy deposition in various detector geometries for applications in MeV radiography. Segmented scintillating detectors, where low Z scintillators combined with a high-Z metal matrix, can be designed in which the resolution increases with increasing metal fraction. Here, the combination of various types of metal intensification screens and storage phosphor imaging plates has also been studied. A storage phosphor coated directly onto a metal intensification screen has superior performance over a commercial plate. Stacks of storage phosphor plates and tantalum intensification screens show an increase in energy deposited and detective quantum efficiency with increasing plate number, at the expense of resolution. Select detector geometries were tested by comparing simulation and experimental modulation transfer functions to validate the approach.

Authors:

^[1];

^[1]

Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Publication Date:: Thu Mar 09 00:00:00 EST 2017

Research Org.:: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1544758

Report Number(s):: LA-UR-17-20889
Journal ID: ISSN 0277-786X

Grant/Contract Number:: 89233218CNA000001

Resource Type:: Accepted Manuscript

Journal Name:: Proceedings of SPIE - The International Society for Optical Engineering

Additional Journal Information:: Journal Volume: 10132; Conference: SPIE Medical Imaging, Orlando, FL (United States), 13-16 Feb 2017; Journal ID: ISSN 0277-786X

Publisher:: SPIE

Country of Publication:: United States

Language:: English

Subject:: 62 RADIOLOGY AND NUCLEAR MEDICINE; 97 MATHEMATICS AND COMPUTING; Monte Carlo simulation; image quality; resolution; MeV radiography

Citation Formats


                    Winch, Nicola M., Watson, Scott Avery, and Hunter, James F. Modeling blur in various detector geometries for MeV radiography.  United States: N. p., 2017. 
Web.  doi:10.1117/12.2249110.

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                    Winch, Nicola M., Watson, Scott Avery, & Hunter, James F. Modeling blur in various detector geometries for MeV radiography.  United States.  https://doi.org/10.1117/12.2249110

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                    Winch, Nicola M., Watson, Scott Avery, and Hunter, James F. Thu .  
"Modeling blur in various detector geometries for MeV radiography".  United States.  https://doi.org/10.1117/12.2249110.  https://www.osti.gov/servlets/purl/1544758.

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@article{osti_1544758,

  title        = {Modeling blur in various detector geometries for MeV radiography},

  author       = {Winch, Nicola M. and Watson, Scott Avery and Hunter, James F.},

  abstractNote = {Monte Carlo transport codes have been used to model the detector blur and energy deposition in various detector geometries for applications in MeV radiography. Segmented scintillating detectors, where low Z scintillators combined with a high-Z metal matrix, can be designed in which the resolution increases with increasing metal fraction. Here, the combination of various types of metal intensification screens and storage phosphor imaging plates has also been studied. A storage phosphor coated directly onto a metal intensification screen has superior performance over a commercial plate. Stacks of storage phosphor plates and tantalum intensification screens show an increase in energy deposited and detective quantum efficiency with increasing plate number, at the expense of resolution. Select detector geometries were tested by comparing simulation and experimental modulation transfer functions to validate the approach.},

  doi          = {10.1117/12.2249110},

  journal      = {Proceedings of SPIE - The International Society for Optical Engineering},

  number       = ,

  volume       = 10132,

  place        = {United States},

  year         = {Thu Mar 09 00:00:00 EST 2017},

  month        = {Thu Mar 09 00:00:00 EST 2017}

}

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