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Establishment of an Analysis Tool for Preclinical Evaluation of PET Radiotracers for In-Vivo Imaging in Neurological Diseases

  • Conference paper
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World Congress on Medical Physics and Biomedical Engineering 2018

Part of the book series: IFMBE Proceedings ((IFMBE,volume 68/3))

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Abstract

Aim: Analysis of in vivo acquired data remains a challenging issue in preclinical studies using positron emission tomography (PET). The aim of this study is the implementation of a tool which should allow a semi-automated analysis of PET data independently from the administrated radiotracer and the imaging modality for preclinical investigations. By registering anatomical data sets, it additionally shall offer a more detailed data analysis allowing a statistical analysis also for smaller sub-regions. Materials and methods: Data used for primarily implementation of the tool were acquired on a Siemens µPET scanner (Inveon®) and were based on the investigation of the glucose metabolism in a subarachnoid hemorrhage (SAH) model in Sprague Dawley rats in vivo using FDG-PET. We used the software programs Matlab (version 2016a) and Fiji for data analysis and visualization. In addition, statistical tests were performed in order to determine regions with trending/significant differences in the SUV of sham and SAH animals. Results: Following data import, data were separated into predefined time periods and artefacts were eliminated. Afterwards, a volume of interest (VOI) was defined by the threshold of the Standardized-Uptake-Value (SUV). Before masking each data set with its segmented VOI, all data sets were intensity-normalized, eliminating the full body intensity differences caused by the different amount of injected activity. After masking, data sets of the sham operated animals were registered on the best orientated sham data set, reduced on the VOI and shifted into the center of the 3D space. By averaging aligned data sets based on all data sets from seven sham rats, we generated a FDG-template of a Sprague-Dawley rat brain. This PET data template was the basis for the evaluation of registered data sets. Afterwards, an anatomical MR-based atlas of the brain of Sprague-Dawley rat was co-registered on the template for a better sub-classification of the acquired data. Conclusion: These preliminary data show that the described method represents a very promising tool for data analysis in the preclinical evaluations of PET radiotracers for neurological applications.

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Abbreviations

ANOVA:

Analysis of variance

EEG:

Electroencephalography

FDG:

2-[18F]Fluoro-2-deoxy-glucose

fMRI:

Functional magnetic resonance imaging

MEG:

Magnetoencephalography

MIRT:

Medical Image Registration Toolbox

MRI:

Magnetic resonance imaging

OSEM2D:

2D-ordered subsets expectation maximization

PET:

Positron emission tomography

SAH:

Subarachnoid hemorrhage

SPM:

Statistical Parametric Mapping

SUV:

Standardized-Uptake-Value

VOI:

Volume of Interest

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Acknowledgements

This project was funded by a grant from the Deutsche Forschungsgemeinschaft (SFB688, Z02 project). The authors would like to thank Dr. N. Lilla (Department of Neurosurgery, University Hospital Würzburg, Germany) for her support with the animal model and Dr. J. Tran-Gia (Department of Nuclear Medicine, University Hospital Würzburg, Germany) for his technical advices.

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Authors and Affiliations

  1. Department of Nuclear Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany

    Fabian Schadt, Samuel Samnick & Ina Israel

Authors
  1. Fabian Schadt
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  2. Samuel Samnick
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  3. Ina Israel
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Corresponding author

Correspondence to Fabian Schadt .

Editor information

Editors and Affiliations

  1. CIIRC, Czech Technical University in Prague, Prague, Czech Republic

    Lenka Lhotska

  2. Institute of Clinical and Experimental Medicine, Prague, Czech Republic

    Lucie Sukupova

  3. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Igor Lacković

  4. Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA

    Geoffrey S. Ibbott

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Schadt, F., Samnick, S., Israel, I. (2019). Establishment of an Analysis Tool for Preclinical Evaluation of PET Radiotracers for In-Vivo Imaging in Neurological Diseases. In: Lhotska, L., Sukupova, L., Lacković, I., Ibbott, G. (eds) World Congress on Medical Physics and Biomedical Engineering 2018. IFMBE Proceedings, vol 68/3. Springer, Singapore. https://doi.org/10.1007/978-981-10-9023-3_125

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  • DOI: https://doi.org/10.1007/978-981-10-9023-3_125

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-9022-6

  • Online ISBN: 978-981-10-9023-3

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