Gamma-ray tracking for high energy gamma-ray imaging in pixelated CdZnTe

doi:10.1016/j.nima.2018.10.121

Title: Gamma-ray tracking for high energy gamma-ray imaging in pixelated CdZnTe

Abstract

Sequencing gamma-ray interactions within a detector system is an integral component of Compton imaging. In detectors with poor timing resolution compared to the time interval of successive interactions, algorithms which order gamma-ray interactions must be implemented using only energy and position information. This work examines previous algorithms and inspects interaction kinematics to increase the sequencing algorithm’s speed and effectiveness. The proposed method, in which the first interaction is assumed to deposit the largest energy, has improved sequencing performance by greater than 20% for full energy gamma ray depositions larger than 1 MeV that do not contain pair-production. In addition, the algorithm shows a decrease in computational costs for sequence reconstruction to allow for better real time reconstruction. Experimental results show an almost twofold increase in the signal to noise ratio (SNR) for simple backprojection images of a ²²Na source. Additional measurements of the 2.2 MeV gamma rays from H¹(n,$$\gamma$$)D² neutron capture demonstrates the proposed algorithm’s superior performance.

Authors:

Shy, Daniel ^[1]; He, Zhong ^[1]

Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Nuclear Engineering and Radiological Sciences

Publication Date:: 2018-10-01

Research Org.:: Univ. of Michigan, Ann Arbor, MI (United States)

Sponsoring Org.:: USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22); USDOE

OSTI Identifier:: 1524440

Alternate Identifier(s):: OSTI ID: 1636281

Grant/Contract Number:: NA0002534; NA002131

Resource Type:: Accepted Manuscript

Journal Name:: Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment

Additional Journal Information:: Journal Volume: 954; Journal ID: ISSN 0168-9002

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Gamma-ray tracking; Compton event reconstruction; 3D position sensitive CdZnTe; Event sequencing; Compton kinematics; High energy gamma-ray imaging

Citation Formats


                    Shy, Daniel, and He, Zhong. Gamma-ray tracking for high energy gamma-ray imaging in pixelated CdZnTe.  United States: N. p., 2018. 
        Web.  doi:10.1016/j.nima.2018.10.121.

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                    Shy, Daniel, & He, Zhong. Gamma-ray tracking for high energy gamma-ray imaging in pixelated CdZnTe.  United States.  doi:10.1016/j.nima.2018.10.121.

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                    Shy, Daniel, and He, Zhong. Mon .  
        "Gamma-ray tracking for high energy gamma-ray imaging in pixelated CdZnTe".  United States.  doi:10.1016/j.nima.2018.10.121.  https://www.osti.gov/servlets/purl/1524440.

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@article{osti_1524440,

  title        = {Gamma-ray tracking for high energy gamma-ray imaging in pixelated CdZnTe},

  author       = {Shy, Daniel and He, Zhong},

  abstractNote = {Sequencing gamma-ray interactions within a detector system is an integral component of Compton imaging. In detectors with poor timing resolution compared to the time interval of successive interactions, algorithms which order gamma-ray interactions must be implemented using only energy and position information. This work examines previous algorithms and inspects interaction kinematics to increase the sequencing algorithm’s speed and effectiveness. The proposed method, in which the first interaction is assumed to deposit the largest energy, has improved sequencing performance by greater than 20% for full energy gamma ray depositions larger than 1 MeV that do not contain pair-production. In addition, the algorithm shows a decrease in computational costs for sequence reconstruction to allow for better real time reconstruction. Experimental results show an almost twofold increase in the signal to noise ratio (SNR) for simple backprojection images of a 22Na source. Additional measurements of the 2.2 MeV gamma rays from H1(n,$\gamma$)D2 neutron capture demonstrates the proposed algorithm’s superior performance.},

  doi          = {10.1016/j.nima.2018.10.121},

  journal      = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},

  number       = ,

  volume       = 954,

  place        = {United States},

  year         = {2018},

  month        = {10}

}

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DOI: 10.1016/j.nima.2018.10.121

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Works referencing / citing this record:

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Title: Gamma-ray tracking for high energy gamma-ray imaging in pixelated CdZnTe

Abstract

Citation Formats

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