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Quantitative Monte Carlo-based holmium-166 SPECT reconstruction.

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A new quantitative holmium-166 (166Ho) SPECT reconstruction method using Monte Carlo simulations significantly improves image accuracy for liver cancer treatment planning. This method enhances dose estimation for radioembolization, leading to more effective patient care.

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Area of Science:

  • Nuclear Medicine
  • Medical Imaging
  • Radiotherapy Physics

Background:

  • Quantitative imaging is crucial for microsphere radioembolization (RE) of liver malignancies.
  • Holmium-166 (166Ho) microspheres are used for RE and can be visualized with gamma cameras.
  • Accurate dosimetry requires precise radionuclide distribution imaging.

Purpose of the Study:

  • To develop and evaluate a novel reconstruction method for quantitative (166)Ho SPECT.
  • To incorporate Monte Carlo (MC)-based modeling of the full energy spectrum for improved accuracy.
  • To enhance treatment planning and dosimetry for liver radioembolization.

Main Methods:

  • Developed a fast MC simulator for (166)Ho projection images, integrated into a statistical reconstruction algorithm (SPECT-fMC).
  • Modeled photon scatter and attenuation using MC simulations across the full (166)Ho energy spectrum.
  • Validated SPECT-fMC against energy window-based methods (SPECT-DSW, SPECT-ppMC+DSW) using phantom experiments and clinical patient data.

Main Results:

  • SPECT-fMC demonstrated substantially higher image contrast and reduced count errors (12%) compared to existing methods.
  • Activity recovery coefficients (ARCs) improved significantly, reaching 76%-103% with SPECT-fMC.
  • SPECT-fMC provided more accurate whole-body activity recovery and significantly higher tumor absorbed doses.

Conclusions:

  • Monte Carlo-based modeling of image-degrading factors improves the quantitative accuracy of (166)Ho SPECT.
  • The proposed SPECT-fMC reconstruction method enables accurate radiation absorbed dose estimation in clinical practice.
  • This advancement supports better treatment planning and dosimetry for liver radioembolization.