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J Neurosci Methods. 2018 Jan 15;294:51-58. doi: 10.1016/j.jneumeth.2017.11.008. Epub 2017 Nov 13.

Automatic delineation of brain regions on MRI and PET images from the pig.

Author information

1
Center for Integrated Molecular Brain Imaging (Cimbi) and Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark.
2
Center for Integrated Molecular Brain Imaging (Cimbi) and Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
3
Department of Clinical Physiology, Nuclear Medicine and PET, Rigshospitalet, Copenhagen, Denmark.
4
Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
5
Center for Integrated Molecular Brain Imaging (Cimbi) and Neurobiology Research Unit, Rigshospitalet, Copenhagen, Denmark. Electronic address: claus.svarer@nru.dk.

Abstract

BACKGROUND:

The increasing use of the pig as a research model in neuroimaging requires standardized processing tools. For example, extraction of regional dynamic time series from brain PET images requires parcellation procedures that benefit from being automated.

COMPARISON WITH EXISTING METHODS:

Manual inter-modality spatial normalization to a MRI atlas is operator-dependent, time-consuming, and can be inaccurate with lack of cortical radiotracer binding or skull uptake.

NEW METHOD:

A parcellated PET template that allows for automatic spatial normalization to PET images of any radiotracer.

RESULTS:

MRI and [11C]Cimbi-36 PET scans obtained in sixteen pigs made the basis for the atlas. The high resolution MRI scans allowed for creation of an accurately averaged MRI template. By aligning the within-subject PET scans to their MRI counterparts, an averaged PET template was created in the same space. We developed an automatic procedure for spatial normalization of the averaged PET template to new PET images and hereby facilitated transfer of the atlas regional parcellation. Evaluation of the automatic spatial normalization procedure found the median voxel displacement to be 0.22±0.08mm using the MRI template with individual MRI images and 0.92±0.26mm using the PET template with individual [11C]Cimbi-36 PET images. We tested the automatic procedure by assessing eleven PET radiotracers with different kinetics and spatial distributions by using perfusion-weighted images of early PET time frames.

CONCLUSION:

We here present an automatic procedure for accurate and reproducible spatial normalization and parcellation of pig PET images of any radiotracer with reasonable blood-brain barrier penetration.

KEYWORDS:

Atlas; Normalization; PET; Parcellation; Pig; Template

PMID:
29146191
DOI:
10.1016/j.jneumeth.2017.11.008
[Indexed for MEDLINE]

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