Description and properties of a resistive network applied to emission tomography detector readouts.

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Title: Description and properties of a resistive network applied to emission tomography detector readouts.
Authors: Boisson, F.1 frederic.boisson@iphc.cnrs.fr, Bekaert, V.1, Sahr, J.1, Brasse, D.1
Source: Nuclear Instruments & Methods in Physics Research Section A. Nov2017, Vol. 872, p100-106. 7p.
Subjects: Positron emission tomography, Nuclear counters, Photodetectors, Maximum likelihood statistics, Charge transfer
Abstract: Over the last twenty years, PET systems have used discrete crystal detector modules coupled to multi-channel photodetectors, mostly to improve the spatial resolution. Although reading each readout channels individually would be of great interest, costs associated with the electronics would, in most cases, be too expensive. It is therefore essential to propose lower-cost solutions that do not degrade the overall system’s performance. One possible solution to reduce the development costs of a PET system without degrading performance is the use of a resistive network which reduces the total number of readout channels. In this study, we present a symmetric charge division resistive network and associated software methods to assess the performance of a PET detector. Our approach consists in keeping the n lines and n columns information provided by a symmetric charge division circuit (SCD). We provided equations relative to output currents of the network, which enable estimation of the charge. We propose a novel approach to reconstruct the charge distribution from the lines and columns projection using a maximum likelihood expectation maximization (MLEM) approach which takes the non-uniformity of the photodetector channel gains into account. We also introduce a mathematical proof of the relation between the sigma of the reconstructed charge distribution and the Ratio between the line of interest (maximum value) and the background signal charges. To the best of our knowledge, this is the first study reporting these equations. Preliminary results obtained with a resistive network used in readout of a monolithic 50 × 50 × 8 mm 3 LYSO crystal coupled to a H9500 PMT validated the effectiveness of the reconstructed charge distribution to optimize both the x and y spatial resolution and the energy resolution. We obtained a mean x and y spatial resolution of 1.10 mm FWHM and a 14.7% energy resolution by calculating the integral of the reconstructed charge distribution. Finally, the relation between the ratio and the sigma of the reconstructed charge distribution may provide new opportunities in terms of Depth-of-Interaction estimation when using a monolithic crystal coupled to a multi-channel photodetector. [ABSTRACT FROM AUTHOR]
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.)
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  Data: Description and properties of a resistive network applied to emission tomography detector readouts.
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  Data: <searchLink fieldCode="AR" term="%22Boisson%2C+F%2E%22">Boisson, F.</searchLink><relatesTo>1</relatesTo><i> frederic.boisson@iphc.cnrs.fr</i><br /><searchLink fieldCode="AR" term="%22Bekaert%2C+V%2E%22">Bekaert, V.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Sahr%2C+J%2E%22">Sahr, J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Brasse%2C+D%2E%22">Brasse, D.</searchLink><relatesTo>1</relatesTo>
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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>. Nov2017, Vol. 872, p100-106. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Positron+emission+tomography%22">Positron emission tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Nuclear+counters%22">Nuclear counters</searchLink><br /><searchLink fieldCode="DE" term="%22Photodetectors%22">Photodetectors</searchLink><br /><searchLink fieldCode="DE" term="%22Maximum+likelihood+statistics%22">Maximum likelihood statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Charge+transfer%22">Charge transfer</searchLink>
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  Label: Abstract
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  Data: Over the last twenty years, PET systems have used discrete crystal detector modules coupled to multi-channel photodetectors, mostly to improve the spatial resolution. Although reading each readout channels individually would be of great interest, costs associated with the electronics would, in most cases, be too expensive. It is therefore essential to propose lower-cost solutions that do not degrade the overall system’s performance. One possible solution to reduce the development costs of a PET system without degrading performance is the use of a resistive network which reduces the total number of readout channels. In this study, we present a symmetric charge division resistive network and associated software methods to assess the performance of a PET detector. Our approach consists in keeping the n lines and n columns information provided by a symmetric charge division circuit (SCD). We provided equations relative to output currents of the network, which enable estimation of the charge. We propose a novel approach to reconstruct the charge distribution from the lines and columns projection using a maximum likelihood expectation maximization (MLEM) approach which takes the non-uniformity of the photodetector channel gains into account. We also introduce a mathematical proof of the relation between the sigma of the reconstructed charge distribution and the Ratio between the line of interest (maximum value) and the background signal charges. To the best of our knowledge, this is the first study reporting these equations. Preliminary results obtained with a resistive network used in readout of a monolithic 50 × 50 × 8 mm 3 LYSO crystal coupled to a H9500 PMT validated the effectiveness of the reconstructed charge distribution to optimize both the x and y spatial resolution and the energy resolution. We obtained a mean x and y spatial resolution of 1.10 mm FWHM and a 14.7% energy resolution by calculating the integral of the reconstructed charge distribution. Finally, the relation between the ratio and the sigma of the reconstructed charge distribution may provide new opportunities in terms of Depth-of-Interaction estimation when using a monolithic crystal coupled to a multi-channel photodetector. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  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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RecordInfo BibRecord:
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        Value: 10.1016/j.nima.2017.08.015
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 100
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      – SubjectFull: Positron emission tomography
        Type: general
      – SubjectFull: Nuclear counters
        Type: general
      – SubjectFull: Photodetectors
        Type: general
      – SubjectFull: Maximum likelihood statistics
        Type: general
      – SubjectFull: Charge transfer
        Type: general
    Titles:
      – TitleFull: Description and properties of a resistive network applied to emission tomography detector readouts.
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            NameFull: Boisson, F.
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              Text: Nov2017
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              Y: 2017
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