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Local motion correction for lung tumours in PET/CT—first results

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

Abstract

Purpose

Respiratory motion of lung lesions is a limiting factor of quantification of positron emission tomography (PET) data. As some important applications of PET such as therapy monitoring and radiation therapy treatment planning require precise quantification, it is necessary to correct PET data for motion artefacts.

Methods

The method is based on list-mode data. First, the motion of the lesion was detected by a centre of mass approach. In the second step, data were sorted corresponding to the breathing state. A volume of interest (VOI) around the lesion was defined manually, and the motion of the lesion in this VOI was measured with reference to the end-expiration image. Then, all voxels in the VOI were shifted according to the measured lesion motion. After optimisation of parameters and verification of the method using a computer-controlled motion phantom, it was applied to nine patients with solitary lesions of the lung.

Results

Fifty percent difference in measured lesion volume and 26% in mean activity concentration were found comparing PET data before and after applying the correction algorithm when simulating a motion amplitude of 28 mm in phantom studies. For patients, maximum changes of 27% in volume and 13% in mean standardised uptake values (SUV) were found.

Conclusion

As respiratory motion is affecting quantification of PET images, correction algorithms are essential for applications that require precise quantification. We described a method which improves the quantification of moving lesions by a local motion correction using list-mode data without increasing acquisition time or reduced signal-to-noise ratio of the images.

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Acknowledgements

We acknowledge the excellent technical assistance of Brigitte Dzewas, Helga Fernolendt, Coletta Kruschke and Anna Winter from the PET/CT staff. The authors are grateful to Marianne Angelberger for editorial assistance.

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Authors and Affiliations

  1. Nuklearmedizinische Klinik und Poliklinik, Klinikum rechts der Isar der Technischen Universität München, Ismaninger Str. 22, 81675, Munich, Germany

    Ralph A. Bundschuh, Axel Martínez-Möller, Markus Essler, Stephan G. Nekolla, Sibylle I. Ziegler & Markus Schwaiger

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  1. Ralph A. Bundschuh
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  2. Axel Martínez-Möller
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  3. Markus Essler
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  4. Stephan G. Nekolla
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  5. Sibylle I. Ziegler
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  6. Markus Schwaiger
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Correspondence to Ralph A. Bundschuh.

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Bundschuh, R.A., Martínez-Möller, A., Essler, M. et al. Local motion correction for lung tumours in PET/CT—first results. Eur J Nucl Med Mol Imaging 35, 1981–1988 (2008). https://doi.org/10.1007/s00259-008-0868-0

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  • DOI: https://doi.org/10.1007/s00259-008-0868-0

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