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Uncertainty-analysis-of-MR-PET-image-registration-for-precision-neuro-PET-imaging.pdf
Preview of 12/02/2021
🔗 Source: amypad.eu
📊 Size: 176 KB
👤 Author: Knox, Sean
⬇️ Downloads: 56

Summary

Accurate regional brain quantitative PET measurements rely on robust image registration between PET and MR images. The precision of MR-PET image registration is mainly driven by the registration implementation and the quality of PET images. A dedicated uncertainty analysis was proposed, using bootstrap resampling of PET list-mode events to generate multiple PET image realisations. The analysis investigated the effects of PET image reconstruction parameters and the performance of four software packages (NiftyReg, Vinci, FSL, and SPM) on the precision and accuracy of MR-PET registration. The results showed that the biggest impact on uncertainty was observed between registration software packages, followed by reconstruction parameters, with SPM and two iterations of fully quantitative image reconstruction yielding the lowest uncertainty.

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Description

Accurate regional brain quantitative PET measurements rely on robust image registration between PET and MR images.

Technical Information

  • File Format: PDF
  • File Size: 176 KB
  • Pages: 1
  • Language: EN
  • Author: Knox, Sean
  • Total Downloads: 56
  • Last Updated: 1 week ago

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