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Optimized list-mode acquisition and data processing procedures for ACS2 based PET systems.

Jens Langner1, Paul Bühler, Uwe Just

  • 1PET Center, Institute of Radiopharmacy, Research Center Rossendorf, Dresden, Germany. J.Langner@fz-rossendorf.de

Zeitschrift Fur Medizinische Physik
|May 16, 2006
PubMed
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We developed hardware and software solutions to improve Positron Emission Tomography (PET) list-mode data transfer, speeding it up by 140x. This enhances routine PET scans and enables advanced processing like movement correction.

Area of Science:

  • Medical Imaging
  • Nuclear Medicine
  • Biomedical Engineering

Background:

  • Positron Emission Tomography (PET) systems with Acquisition Control System version 2 (ACS2) have limited list-mode functionality.
  • Data transfer in list-mode acquisition is time-consuming, hindering its practical application.

Purpose of the Study:

  • To develop hardware and software solutions to overcome limitations in PET list-mode data acquisition and transfer.
  • To improve the integration of list-mode acquisition into routine PET procedures and enhance system stability.

Main Methods:

  • Developed novel hardware and software to optimize data transfer from ACS2-based PET scanners.
  • Implemented solutions to improve the overall runtime stability of the PET system.
  • Evaluated the impact of the developed methods on data transfer speed and system performance.

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Main Results:

  • Achieved a data transfer speed increase of up to 140 times for acquired PET data.
  • Demonstrated the feasibility of integrating list-mode acquisition into routine clinical workflows.
  • Showcased the potential for advanced post-processing methods, such as event-driven movement correction.

Conclusions:

  • The developed solutions significantly accelerate PET list-mode data transfer, enabling advanced applications.
  • Improved system stability and data transfer efficiency benefit both list-mode and conventional histogram-mode PET acquisition.
  • Enhanced flexibility and efficiency in PET investigations are achieved through optimized list-mode data handling.