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A spectral reconstruction algorithm for two-plane Compton cameras.

Enrique Muñoz1, Luis Barrientos1, José Bernabéu1

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Real-time monitoring in hadron therapy is crucial. A new spectral reconstruction method shows promise for prompt gamma imaging, but detector limitations currently hinder its full clinical application.

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Area of Science:

  • Medical Physics
  • Nuclear Medicine
  • Radiation Oncology

Background:

  • Hadron therapy requires real-time monitoring for precise treatment delivery.
  • Current monitoring methods lack the reliability needed for widespread clinical adoption.
  • Compton imaging systems offer potential for prompt gamma emission monitoring during irradiation.

Purpose of the Study:

  • To develop and evaluate a spectral reconstruction method for prompt gamma imaging.
  • To improve the extraction of spatial and spectral information from Compton imaging events.
  • To assess the feasibility of real-time treatment monitoring in hadron therapy.

Main Methods:

  • Implementation of a spectral reconstruction method within a list-mode maximum likelihood expectation maximization algorithm.
  • Generation of a four-dimensional image in the joint spatial-spectral domain.
  • Analytical modeling of system response and Monte Carlo integration for sensitivity calculation.

Main Results:

  • The proposed method simultaneously recovers spectral and spatial information under ideal conditions.
  • Monte Carlo simulations identified mispositioning and energy loss as key degradation factors.
  • Accurate reconstruction of experimental point-like sources and identification of complex phantom distributions were achieved.

Conclusions:

  • The spectral reconstruction method shows potential for prompt gamma imaging in hadron therapy.
  • Detector limitations, specifically gamma interaction point mispositioning and energy loss, need to be addressed for clinical application.
  • Further advancements are needed to overcome these limitations for realistic scenarios.