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Motion detection and correction for dynamic 15O-water myocardial perfusion PET studies

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European Journal of Nuclear Medicine and Molecular Imaging Aims and scope Submit manuscript

Abstract

Purpose

Patient motion during dynamic PET studies is a well-documented source of errors. The purpose of this study was to investigate the incidence of frame-to-frame motion in dynamic 15O-water myocardial perfusion PET studies, to test the efficacy of motion correction methods and to study whether implementation of motion correction would have an impact on the perfusion results.

Methods

We developed a motion detection procedure using external radioactive skin markers and frame-to-frame alignment. To evaluate motion, marker coordinates inside the field of view were determined in each frame for each study. The highest number of frames with identical spatial coordinates during the study were defined as “non-moved”. Movement was considered present if even one marker changed position, by one pixel/frame compared with reference, in one axis, and such frames were defined as “moved”. We tested manual, in-house-developed motion correction software and an automatic motion correction using a rigid body point model implemented in MIPAV (Medical Image Processing, Analysis and Visualisation) software. After motion correction, remaining motion was re-analysed. Myocardial blood flow (MBF) values were calculated for both non-corrected and motion-corrected datasets.

Results

At rest, patient motion was found in 18% of the frames, but during pharmacological stress the fraction increased to 45% and during physical exercise it rose to 80%. Both motion correction algorithms significantly decreased (p<0.006) the number of moved frames and the amplitude of motion (p<0.04). Motion correction significantly increased MBF results during bicycle exercise (p<0.02). At rest or during adenosine infusion, the motion correction had no significant effects on MBF values.

Conclusion

Significant motion is a common phenomenon in dynamic cardiac studies during adenosine infusion but especially during exercise. Applying motion correction for the data acquired during exercise clearly changed the MBF results, indicating that motion correction is required for these studies.

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Acknowledgements

We thank the staff of the Turku PET Centre for their excellent technical assistance.

This study was financially supported by grants from Turku University Hospital (EVO) and Finnish Foundation for Cardiovascular Research.

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Authors and Affiliations

  1. Turku PET Centre, University of Turku, P.O. Box 52, 20521, Turku, Finland

    Alexandru Naum, Marko S. Laaksonen, Helena Tuunanen, Vesa Oikonen, Mika Teräs, Jukka Kemppainen, Mikko J. Järvisalo, Pirjo Nuutila & Juhani Knuuti

  2. Department of Medicine, University of Turku, Turku, Finland

    Helena Tuunanen & Pirjo Nuutila

  3. Department of Clinical Physiology and Nuclear Medicine, University of Turku, Turku, Finland

    Jukka Kemppainen

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  1. Alexandru Naum
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  2. Marko S. Laaksonen
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  4. Vesa Oikonen
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  5. Mika Teräs
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  6. Jukka Kemppainen
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  7. Mikko J. Järvisalo
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  8. Pirjo Nuutila
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  9. Juhani Knuuti
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Correspondence to Juhani Knuuti.

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Naum, A., Laaksonen, M.S., Tuunanen, H. et al. Motion detection and correction for dynamic 15O-water myocardial perfusion PET studies. Eur J Nucl Med Mol Imaging 32, 1378–1383 (2005). https://doi.org/10.1007/s00259-005-1846-4

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  • DOI: https://doi.org/10.1007/s00259-005-1846-4

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