PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques

Joseph Lillington1, Ludovica Brusaferri2, Kerstin Kläser3

  • 1Centre for Medical Imaging, University College London, London, W1W 7TS, UK.

Medical Physics
|December 4, 2019
PubMed

Insights

Accurate lung attenuation correction in positron emission tomography/magnetic resonance imaging (PET/MRI) is crucial for precise quantification. This review examines current and future methods to improve lung attenuation estimation in PET/MRI scans.

Area of Science:

  • Medical Imaging Physics
  • Radiological Sciences
  • Nuclear Medicine

Background:

  • Positron emission tomography/magnetic resonance imaging (PET/MRI) offers advantages over PET/CT, including no CT radiation dose and simultaneous soft-tissue MR imaging.
  • Accurate linear attenuation correction (LAC) for lung tissue in PET/MRI is challenging due to significant variations in electron density.
  • Current clinical practice relies on population-based lung LACs, potentially leading to inaccurate PET quantification.

Purpose of the Study:

  • To review existing and emerging methods for estimating lung linear attenuation correction (LAC) factors in positron emission tomography/magnetic resonance imaging (PET/MRI).
  • To highlight the challenges and importance of accurate lung attenuation estimation for quantitative PET imaging.
  • To discuss future strategies for improving lung attenuation correction in PET/MRI, particularly for lung disease applications.

Main Methods:

  • Categorization of current and past lung attenuation estimation methods into segmentation-based, atlas/mapping-based, and emission-based schemes.
  • Review of techniques addressing the variability of electron density within lung tissues.
  • Discussion of potential future developments and strategies for enhanced accuracy.

Main Results:

  • Existing methods for lung attenuation correction in PET/MRI vary in complexity and accuracy.
  • Significant challenges remain in achieving precise, individualized lung LACs due to inherent tissue heterogeneity.
  • The review synthesizes various approaches, identifying strengths and limitations of each category.

Conclusions:

  • Accurate lung attenuation correction is critical for reliable quantitative PET imaging with PET/MRI, especially in lung disease.
  • Further research and development are needed to overcome the challenges of lung attenuation estimation.
  • The reviewed methods provide a foundation for developing improved strategies for future PET/MRI applications.

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