Determination of the Interaction Position of Gamma Photons in Monolithic Scintillators Using Neural Network Fitting
| Autor: | María José Rodríguez-Álvarez, Liczandro Hernandez, Filomeno Sanchez, P. Bellido, Michael Seimetz, Antonio González, A. Iborra, Antonio Soriano, Jose M. Benlloch, L. F. Vidal, Laura Moliner, J. P. Rigla, Pablo Conde |
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| Rok vydání: | 2016 |
| Předmět: |
Physics
Nuclear and High Energy Physics Photon Physics::Instrumentation and Detectors 010308 nuclear & particles physics business.industry Detector Inverse-square law Photodetector Type (model theory) 01 natural sciences 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Silicon photomultiplier Optics Nuclear Energy and Engineering Position (vector) Non-linear least squares 0103 physical sciences Electrical and Electronic Engineering business |
| Zdroj: | IEEE Transactions on Nuclear Science. 63:30-36 |
| ISSN: | 1558-1578 0018-9499 |
| Popis: | In Positron Emission Tomography (PET) detectors based on monolithic scintillators, the photon interaction position needs to be estimated from the light distribution (LD) on the photodetector pixels. Due to the finite size of the scintillator volume, the symmetry of the LD is truncated everywhere except for the crystal center. This effect produces a poor estimation of the interaction positions towards the edges, an especially critical situation when linear algorithms, such as Center of Gravity (CoG), are used. When all the crystal faces are painted black, except the one in contact with the photodetector, the LD can be assumed to behave as the inverse square law, providing a simple theoretical model. Using this LD model, the interaction coordinates can be determined by means of fitting each event to a theoretical distribution. In that sense, the use of neural networks (NNs) has been shown to be an effective alternative to more traditional fitting techniques as nonlinear least squares (LS). The multilayer perceptron is one type of NN which can model non-linear functions well and can be trained to accurately generalize when presented with new data. In this work we have shown the capability of NNs to approximate the LD and provide the interaction coordinates of $\gamma $ -photons with two different photodetector setups. One experimental setup was based on analog Silicon Photomultipliers (SiPMs) and a charge division diode network, whereas the second setup was based on digital SiPMs (dSiPMs). In both experiments NNs minimized border effects. Average spatial resolutions of $1.9 \pm 0.2~\hbox{mm}$ and $1.7 \pm 0.2~\hbox{mm}$ for the entire crystal surface were obtained for the analog and dSiPMs approaches, respectively. |
| Databáze: | OpenAIRE |
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