Publication

Tracer-specific PET and SPECT templates for automatic co-registration of functional rat brain images

Vállez Garcia, D., Schwarz, A. J., Dierckx, R., Koole, M. & Doorduin, J., 22-May-2014.

Research output: Contribution to conferenceAbstractAcademic

APA

Vállez Garcia, D., Schwarz, A. J., Dierckx, R., Koole, M., & Doorduin, J. (2014). Tracer-specific PET and SPECT templates for automatic co-registration of functional rat brain images. Abstract from 10th International Symposium on Functional NeuroReceptor Mapping of the Living Brain, Egmond aan Zee, Netherlands. https://doi.org/10.13140/2.1.1179.3286

Author

Vállez Garcia, David ; Schwarz, Adam J ; Dierckx, Rudi ; Koole, Michel ; Doorduin, Janine. / Tracer-specific PET and SPECT templates for automatic co-registration of functional rat brain images. Abstract from 10th International Symposium on Functional NeuroReceptor Mapping of the Living Brain, Egmond aan Zee, Netherlands.

Harvard

Vállez Garcia, D, Schwarz, AJ, Dierckx, R, Koole, M & Doorduin, J 2014, 'Tracer-specific PET and SPECT templates for automatic co-registration of functional rat brain images' 10th International Symposium on Functional NeuroReceptor Mapping of the Living Brain, Egmond aan Zee, Netherlands, 21/05/2014 - 24/05/2014, . https://doi.org/10.13140/2.1.1179.3286

Standard

Tracer-specific PET and SPECT templates for automatic co-registration of functional rat brain images. / Vállez Garcia, David; Schwarz, Adam J; Dierckx, Rudi; Koole, Michel; Doorduin, Janine.

2014. Abstract from 10th International Symposium on Functional NeuroReceptor Mapping of the Living Brain, Egmond aan Zee, Netherlands.

Research output: Contribution to conferenceAbstractAcademic

Vancouver

Vállez Garcia D, Schwarz AJ, Dierckx R, Koole M, Doorduin J. Tracer-specific PET and SPECT templates for automatic co-registration of functional rat brain images. 2014. Abstract from 10th International Symposium on Functional NeuroReceptor Mapping of the Living Brain, Egmond aan Zee, Netherlands. https://doi.org/10.13140/2.1.1179.3286


BibTeX

@conference{f6b0d1c8574e44dc8eee05d4e1fbe218,
title = "Tracer-specific PET and SPECT templates for automatic co-registration of functional rat brain images",
abstract = "Objectives: Template based spatial co-registration of PET and SPECT data is an important first step in its semi- automatic processing, facilitating VOI- and voxel-based analysis. Although this procedure is standard in human, using corresponding MRI images, these systems are often not accessible for preclinical research. Alternatively, manual co-registration of images to a MRI template is often performed. However, this is operator dependent and can introduce bias. Therefore, we constructed several tracer-specific PET and SPECT rat brain templates for automatic co-registration, spatially aligned with a widely used MRI-based template in Paxinos stereotactic space [1]. Methods: PET (18F-FDG, 11C-PK11195, and 11C-MeDAS) and SPECT (99mTc-HMPAO) brain scans were acquired from healthy male Sprague-Dawley and Wistar rats. Symmetrical left-right templates were constructed by averaging the scans. Within-modality registration was performed by minimizing the sum of squared difference and template to MRI registration by normalized mutual information maximization algorithm. For validation purposes, PET scans were acquired from a rat model of multiple sclerosis (MS) where focal demyelination was induced by injection of lysolecithin (or control saline) in right corpus callosum and striatum. Parametric SUV images were created for automatic co-registration. The validity of the templates was assessed by estimation of registration accuracy errors, inter-subject variability, right-to-left asymmetry indices, and voxel-based analysis of the MS model [2]. Results: The obtained mean registration errors were 0.097-1.277mm for PET, and 0.059-0.477mm for SPECT. These values are below spatial resolution of the cameras (1.4mm and 0.8mm, respectively) and in agreement with human literature [3]. Results from voxel-based analyses (Figure 1) correspond with those previously reported using VOI-based analysis [4], and correlate with the regions where lesion was induced. Conclusion: The constructed tracer-specific templates allow accurate registration of functional rat brain data, using automatic normalization algorithms available in standard packages (e.g., SPM, FSL), supporting either VOI- or voxel-based analysis. The templates will be made freely available for the research community.",
author = "{V{\'a}llez Garcia}, David and Schwarz, {Adam J} and Rudi Dierckx and Michel Koole and Janine Doorduin",
year = "2014",
month = "5",
day = "22",
doi = "10.13140/2.1.1179.3286",
language = "English",
note = "10th International Symposium on Functional NeuroReceptor Mapping of the Living Brain ; Conference date: 21-05-2014 Through 24-05-2014",

}

RIS

TY - CONF

T1 - Tracer-specific PET and SPECT templates for automatic co-registration of functional rat brain images

AU - Vállez Garcia, David

AU - Schwarz, Adam J

AU - Dierckx, Rudi

AU - Koole, Michel

AU - Doorduin, Janine

PY - 2014/5/22

Y1 - 2014/5/22

N2 - Objectives: Template based spatial co-registration of PET and SPECT data is an important first step in its semi- automatic processing, facilitating VOI- and voxel-based analysis. Although this procedure is standard in human, using corresponding MRI images, these systems are often not accessible for preclinical research. Alternatively, manual co-registration of images to a MRI template is often performed. However, this is operator dependent and can introduce bias. Therefore, we constructed several tracer-specific PET and SPECT rat brain templates for automatic co-registration, spatially aligned with a widely used MRI-based template in Paxinos stereotactic space [1]. Methods: PET (18F-FDG, 11C-PK11195, and 11C-MeDAS) and SPECT (99mTc-HMPAO) brain scans were acquired from healthy male Sprague-Dawley and Wistar rats. Symmetrical left-right templates were constructed by averaging the scans. Within-modality registration was performed by minimizing the sum of squared difference and template to MRI registration by normalized mutual information maximization algorithm. For validation purposes, PET scans were acquired from a rat model of multiple sclerosis (MS) where focal demyelination was induced by injection of lysolecithin (or control saline) in right corpus callosum and striatum. Parametric SUV images were created for automatic co-registration. The validity of the templates was assessed by estimation of registration accuracy errors, inter-subject variability, right-to-left asymmetry indices, and voxel-based analysis of the MS model [2]. Results: The obtained mean registration errors were 0.097-1.277mm for PET, and 0.059-0.477mm for SPECT. These values are below spatial resolution of the cameras (1.4mm and 0.8mm, respectively) and in agreement with human literature [3]. Results from voxel-based analyses (Figure 1) correspond with those previously reported using VOI-based analysis [4], and correlate with the regions where lesion was induced. Conclusion: The constructed tracer-specific templates allow accurate registration of functional rat brain data, using automatic normalization algorithms available in standard packages (e.g., SPM, FSL), supporting either VOI- or voxel-based analysis. The templates will be made freely available for the research community.

AB - Objectives: Template based spatial co-registration of PET and SPECT data is an important first step in its semi- automatic processing, facilitating VOI- and voxel-based analysis. Although this procedure is standard in human, using corresponding MRI images, these systems are often not accessible for preclinical research. Alternatively, manual co-registration of images to a MRI template is often performed. However, this is operator dependent and can introduce bias. Therefore, we constructed several tracer-specific PET and SPECT rat brain templates for automatic co-registration, spatially aligned with a widely used MRI-based template in Paxinos stereotactic space [1]. Methods: PET (18F-FDG, 11C-PK11195, and 11C-MeDAS) and SPECT (99mTc-HMPAO) brain scans were acquired from healthy male Sprague-Dawley and Wistar rats. Symmetrical left-right templates were constructed by averaging the scans. Within-modality registration was performed by minimizing the sum of squared difference and template to MRI registration by normalized mutual information maximization algorithm. For validation purposes, PET scans were acquired from a rat model of multiple sclerosis (MS) where focal demyelination was induced by injection of lysolecithin (or control saline) in right corpus callosum and striatum. Parametric SUV images were created for automatic co-registration. The validity of the templates was assessed by estimation of registration accuracy errors, inter-subject variability, right-to-left asymmetry indices, and voxel-based analysis of the MS model [2]. Results: The obtained mean registration errors were 0.097-1.277mm for PET, and 0.059-0.477mm for SPECT. These values are below spatial resolution of the cameras (1.4mm and 0.8mm, respectively) and in agreement with human literature [3]. Results from voxel-based analyses (Figure 1) correspond with those previously reported using VOI-based analysis [4], and correlate with the regions where lesion was induced. Conclusion: The constructed tracer-specific templates allow accurate registration of functional rat brain data, using automatic normalization algorithms available in standard packages (e.g., SPM, FSL), supporting either VOI- or voxel-based analysis. The templates will be made freely available for the research community.

U2 - 10.13140/2.1.1179.3286

DO - 10.13140/2.1.1179.3286

M3 - Abstract

ER -

ID: 17286837