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A method for tracking moving sources with PET


Stanford Reference:

14-171


Abstract


Stanford researchers at the Pratx Lab have developed a new trajectory reconstruction method for tracking moving sources labeled with positron-emitting radionuclides using PET. This method reconstructs the time-varying position of individual sources directly from raw list-mode PET, thereby bypassing conventional image reconstruction entirely.
Proof-of-concept experiments show that low-activity and fast-moving sources can be reliably tracked in vivo with < 2 mm accuracy. This method can be applied for tracking of single cells in vivo, real-time tracking of a moving tumor during radiotherapy, and estimation of respiratory breathing in 4D-PET.

Figure

Figure description - Single-source tracking. List-mode PET data from a point source (1, 10, 100, 1000 Bq) moving at 5 mm/s in an S-like pattern was reconstructed using standard MLEM (top row) and the novel trajectory reconstruction method (bottom row). This result indicate that the invention can track a moving source better than can be achieved using conventional ML-EM.

Stage of Research
  • Proof-of-concept - Monte Carlo simulations (GATE) show that this algorithm can track a single cell inside a small-animal PET system with <2 mm accuracy provided that the activity of the cell (Bq) is greater than twice the square of its velocity (cm/s).
  • Applying method to tracking multiple sources in parallel.



  • Applications


    • In vivo cell tracking:
      • Cell-based therapies for cardiac and neural tissue regeneration and cancer immunotherapy
      • Preclinical research tool to study biological processes such as cancer metastasis
      • Small animal research for drug development
    • 4D PET/CT imaging – estimation of respiratory breathing
    • Radiation Therapy - real time tracking of a moving tumor

    Advantages


    • Real time
    • Accurate – can track moving sources with higher localization accuracy and up to higher velocities and lower activities
    • Novel concept - First proposed method to reconstruct the motion of a source directly from PET measurements, without forming an image
    • Can be extended to track multiple moving sources in parallel

    Publications



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    Date Released

     8/13/2014
     

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    Evan Elder, Licensing Associate
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    Related Keywords


    tumor tracking   Imaging: PET   cell tracking   radiopharmaceuticals   radiation therapy   molecular imaging   imaging: molecular   cancer imaging   drug development   PET software   PET tracer   PET/MRI   Positron emission tomography (PET)   radionuclides   tumor targeting   healthcare: imaging   imaging software   medical imaging software   healthcare: radiation therapy   image guided radiation therapy (IGRT)   medical devices: radiation therapy   radiation oncology   single cell analysis   single cell imaging   
     

       

      

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