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Analog and digital signal processing method using multi-time-over-threshold and FPGA for PET.

Kyu Bom Kim1, Yong Choi1, Jiwoong Jung1

  • 1Department of Electronic Engineering, Sogang University, 1 Shinsu-Dong, Mapo-Gu, Seoul, 121-742, South Korea.

Medical Physics
|July 26, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multi-time-over-threshold (MTOT) method using Field-Programmable Gate Arrays (FPGAs) for Positron Emission Tomography (PET) signal processing. This cost-effective system achieves 19% energy and 900 ps time resolution without analog-to-digital converters (ADCs) or time-to-digital converters (TDCs).

Keywords:
PETTOTanalog and digital signal processing methoddata acquisition

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Area of Science:

  • Medical Imaging
  • Nuclear Instrumentation
  • Signal Processing

Background:

  • Positron Emission Tomography (PET) systems require sophisticated signal processing for accurate event detection.
  • Traditional PET signal processing often relies on Analog-to-Digital Converters (ADCs) and Time-to-Digital Converters (TDCs), adding complexity and cost.
  • Developing simplified, cost-effective signal processing methods is crucial for advancing PET technology.

Purpose of the Study:

  • To develop an analog and digital signal processing method for PET using Multi-Time-Over-Threshold (MTOT) and Field-Programmable Gate Arrays (FPGAs).
  • To extract PET event information utilizing the FPGA's internal clock (~350 MHz), eliminating the need for external ADCs and TDCs.
  • To create a simple and cost-effective signal processing system for PET applications.

Main Methods:

  • PET detector modules comprised a 4x4 matrix of LYSO crystals and a 4x4 Silicon Photomultiplier (SiPM) array.
  • Output signals were amplified and processed through comparators to generate trigger signals.
  • FPGA was used to calculate energy by integrating digitized pulses and determine arrival time from trigger signal timestamps, storing data in list mode.

Main Results:

  • The performance of the MTOT method and FPGA-based signal processing was evaluated.
  • The system achieved an energy resolution of 19%.
  • A time resolution of 900 ps was obtained.

Conclusions:

  • The proposed MTOT method, implemented solely with FPGAs, offers a viable alternative to traditional ADC/TDC-based PET signal processing.
  • This approach provides a simple and cost-effective solution for analog and digital signal processing in PET systems.
  • The study demonstrates the potential of FPGAs in advancing PET instrumentation.