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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
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Motion correction strategies for integrated PET/MR.

Sebastian Fürst1, Robert Grimm2, Inki Hong3

  • 1Department of Nuclear Medicine, Technische Universität München, Munich, Germany Graduate School of Information Science in Health (GSISH), Technische Universität München, Munich, Germany sebastian.fuerst@tum.de.

Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine
|January 10, 2015
PubMed
Summary
This summary is machine-generated.

Integrated PET/MR systems offer diverse motion correction strategies. This study quantitatively evaluated MR- and PET-data-based methods, finding PET-driven gating improved respiratory signals and overall stability for higher PET image quality.

Keywords:
PET/MRmotion correctionmultimodal imagingrespiratory gating

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Area of Science:

  • Medical Imaging Physics
  • Radiochemistry
  • Biomedical Engineering

Background:

  • Integrated whole-body PET/MR systems combine positron emission tomography (PET) and magnetic resonance (MR) imaging.
  • Respiratory motion significantly impacts PET image quality, necessitating motion correction strategies.
  • Both MR and PET data offer potential for respiratory motion compensation.

Purpose of the Study:

  • To quantitatively evaluate different MR- and PET-data-based respiratory motion correction strategies for integrated PET/MR.
  • To compare the effectiveness of various signal extraction methods for respiratory gating.
  • To assess the impact of motion correction on quantitative PET parameters and lesion characteristics.

Main Methods:

  • Simultaneous PET/MR data acquisition from 20 patients using (18)F-FDG or (68)Ga-DOTANOC.
  • Comparison of respiratory signals from bellows, MR self-gating, and PET raw data (sensitivity method, PCA, Laplacian eigenmaps).
  • Generation of gated sinograms and MR motion models, followed by PET image reconstruction incorporating motion information and PET-based optical flow correction.

Main Results:

  • Combined PET-based methods (sensitivity method + PCA/Laplacian eigenmaps) achieved higher correlation with MR signals (up to 0.74).
  • The best PET-based signal showed strong correlation (0.80) with MR signals.
  • PET-based motion correction strategies increased mean tracer uptake by 13-18% and improved lesion volume accuracy compared to static images.

Conclusions:

  • Respiratory traces derived from MR and PET data are comparable to external sensors.
  • PET-driven gating methods enhance respiratory signal accuracy and system stability.
  • Consistent results from MR- and PET-based correction enable flexible PET/MR protocols and improved PET image quality.