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Efficient Strike Artifact Reduction Based on 3D-Morphological Structure Operators from Filtered Back-Projection PET

Chun-Yi Chiu1,2, Yung-Hui Huang3, Wei-Chang Du2

  • 1Department of Radiology, Kaohsiung Veterans General Hospital, No. 386, Dazhong 1st Rd., Zuoying District, Kaohsiung City 81362, Taiwan.

Sensors (Basel, Switzerland)
|November 13, 2021
PubMed
Summary

Three-dimensional morphological structure operators (3D MSO) effectively reduce artifacts in Positron Emission Tomography (PET) images. This new method enhances image quality for better tumor detection compared to previous 2D techniques.

Keywords:
FBPMSOORCPETstrike artifacts

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Area of Science:

  • Nuclear Medicine Imaging
  • Medical Image Reconstruction
  • Computational Imaging

Background:

  • Positron Emission Tomography (PET) is crucial for detecting tumors via functional imaging.
  • Filtered Back-Projection (FBP) is a common PET reconstruction algorithm but introduces strike artifacts.
  • Existing 2D morphological operators partially reduce artifacts but neglect 3D noise distribution.

Purpose of the Study:

  • To develop and evaluate Three-Dimensional Morphological Structure Operators (3D MSO) for eliminating strike artifacts in PET imaging.
  • To improve image quality in PET scans without compromising diagnostic information.
  • To introduce an optimized version, 3D MSO/ORC, for enhanced performance.

Main Methods:

  • Development of novel 3D MSO algorithms tailored for nuclear medicine imaging.
  • Implementation of a parallel operation to determine the optimal response curve (ORC) for 3D MSO.
  • Utilized a 3x3x3 mask for noise reduction and artifact elimination.
  • Validation using Jaszczak phantom and rat imaging studies.

Main Results:

  • 3D MSO/ORC demonstrated superior denoising capabilities compared to 2D-MSO.
  • The new method effectively reduced strike artifacts in FBP reconstructed PET images.
  • Image quality was significantly improved, aiding clinical diagnosis.
  • Consistent performance and stability were observed in phantom and in-vivo studies.

Conclusions:

  • 3D MSO/ORC offers a robust solution for mitigating strike artifacts in PET imaging.
  • This technique enhances image quality and diagnostic accuracy in nuclear medicine.
  • The 3D MSO/ORC method represents a significant advancement over previous 2D approaches for PET artifact reduction.