Abstract
The resolution of the PET scanners is limited by the parallax error due to the missing knowledge about Depth of Interaction (DoI) of the incident photons inside the scintillation crystal. In real time, a DoI calculator must fulfill a suitable event processing rate, which requires low complexity DoI algorithms. The DoI is obtained when the crystal within a phoswich detector is identified based on the shape of the scintillation light distribution. The main idea of this paper is to enhance the performance of crystal identification by using a Support Vector Machine (SVM) classifier and Discrete Fourier Transform (DFT) feature extractor. Besides, the paper introduces a complexity reduction method by merging the SVM classification phase and DFT in order to comply with the real-time rate. A real-time FPGA-based merged DFT-SVM DoI method has been implemented and validated to discriminate pulse-shapes of LSO-LuYAP scintillation crystals events. A correct assignment of 92.2% at rate of 6.2 Mevents/s is achieved for a sample of ∼100 000 pulses from LSO-LuYAP crystals read out using vacuum photomultipliers. Compared with recent DoI methods, the proposed method provides the highest performance and fulfills the required real-time rate of PET scanners
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.