A Metric for Testing the Accuracy of Cross-Modality Image Registration: Validation and Application

Black, Kevin J.; Videen, Tom O.; Perlmutter, Joel S.

doi:10.1097/00004728-199609000-00038

Cited by 21 publications

(8 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fiducial markers have largely been used to provide a method for “perfect registration” to assess the accuracy of other automated registration algorithms. These studies have incorporated fiducial markers into stereotactic frames rather than directly attaching them or implanting them into the animal (Black et al, 1996; Humm et al, 2003; Rowland et al, 2005). As mentioned previously, a major limitation of this method is the inability to apply such an approach retrospectively.…”

Section: Rigid Transformation Coregistrationmentioning

confidence: 99%

Application of Coregistration for Imaging of Animal Models of Epilepsy

Jupp¹,

O’Brien²

2007

Epilepsia

View full text Add to dashboard Cite

Summary:The past decade has seen a surge in the utilization of small animal imaging for epilepsy research. In vivo imaging studies have the potential to provide important insights into the structural and functional correlates of the development and progression of epilepsy in these models. However, the small size of the rodent brain means that anatomic resolution is often relatively poor for many imaging modalities, particularly those providing functional information such as positron emission tomography. Coregistration of these images with those of higher structural resolution, such as MRI, provides an attractive approach to this problem, and also allows correlations between structural and functional imaging data. Image coregistration is commonly utilized in clinical research and practice. However, its application for small animal images has been, to date, relatively under utilized and largely unvalidated. The current review aims to provide an overview of image coregistration methods, particularly for MRI and PET, and their application to imaging of small animal models of epilepsy. Methodological advantages and potential traps are highlighted. Key Words: MRI-PETImage coregistration-Small animal models of epilepsy-Brain imaging.Neuroimaging provides powerful diagnostic and research tools for the in vivo detection of structural and functional changes in the brain in patients with epilepsy. It is now an essential component of the clinical evaluation of patients with epilepsy for the localization of epileptic foci as well as for the identification of regions of eloquent cortex. Its use in clinical research to investigate the pathophysiological, functional, and structural correlates of chronic epilepsy and the process of epileptogenesis is also well established. The increasing use of multimodality imaging acquisition has seen techniques for coregistration, where two or more images are mathematically transformed into the same three-dimensional space, become routinely employed in both the clinical and research setting. Coregistration offers the ability to directly correlate the information provided by each of the scans, maximizing the usefulness of the acquired information. This is most commonly applied to register a type of image with lower structural information, such as positron emission tomography (PET), with one with higher structural detail, such as magnetic resonance imaging (MRI). In this setting, coregistration can be an important method for de- termining accurate anatomical localizations of changes on functional imaging, including for the placement of regions of interest (ROIs) for the quantification of changes within specific brain structures or for image-guided surgical interventions. Animal models of epilepsy have a long and productive history in epilepsy research. Neuroimaging of animal models of epilepsy is a relatively new approach to the study of the structural and functional changes associated with epileptogenesis, chronic epilepsy, and the effect of seizures. Neuroimaging has the important advantage o...

show abstract

Section: Rigid Transformation Coregistrationmentioning

confidence: 99%

Application of Coregistration for Imaging of Animal Models of Epilepsy

Jupp¹,

O’Brien²

2007

Epilepsia

View full text Add to dashboard Cite

show abstract

“…The head of the sedated animal was fixed in position with a headholder system that bolted to a acrylic "cap" surgically implanted in the skull and also to the PET scanning table (Perlmutter et al, 1991a). This ensured no movement of the head throughout the scan (Black et al, 1996a).…”

Section: Methodsmentioning

confidence: 99%

“…1). We have previously validated this method in baboons by reference to external fiducials attached to the headholder system and visible in both modalities; the maximum residual error at the GP after AIR alignment was 2.4 mm (mean error, 2.0 mm) (Black et al, 1996a).…”

Section: Methodsmentioning

confidence: 99%

PET Measurement of Dopamine D₂Receptor-Mediated Changes in Striatopallidal Function

1997

Self Cite

View full text Add to dashboard Cite

This study was designed to validate an in vivo measurement of the functional sensitivity of basal ganglia neuronal circuits containing dopamine D 2 receptors. We hypothesized that a D 2 agonist would decrease striatopallidal neuronal activity, and hence regional cerebral blood flow (rCBF) over the axon terminals in the globus pallidus. Quantitative pallidal blood flow was measured using positron emission tomography (PET) with bolus injections of H 2 15 O and arterial sampling in six baboons before and after intravenous administration of the selective D 2 agonist U91356a. We also tested whether the response to U91356a was modified by previous acute administration of various antagonists. Another baboon had serial measurements of blood flow under identical conditions, but received no dopaminergic drugs. In all animals that received U91356a, pallidal flow decreased in a dose-related manner. Global CBF had a similar response, but the decline in pallidal flow was greater in magnitude and remained significant after accounting for the global effect. A D 2 antagonist, but not antagonists of D 1 , serotonin-2, or peripheral D 2 receptors, prevented this decrease. This work demonstrates and validates an in vivo measure of the sensitivity of D 2 -mediated basal ganglia pathways. It also supports the hypothesis that activation of the indirect striatopallidal pathway, previously demonstrated using nonselective D 2 -like agonists, can be mediated specifically by D 2 receptors. We speculate that the U91356a-PET technique may prove useful in detecting functional abnormalities of D 2 -mediated dopaminergic function in diseases such as parkinsonism, dystonia, Tourette syndrome, or schizophrenia.

show abstract

“…Alternative approach is automatic image registration (AIR) which iteratively adjusts spatial transformation parameters (rotation and translation) so as to maximize some similarity measure computed between the transformed target image and the corresponding reference image. (Black et al, 1996;Viergever et al, 2001;Zitova & Flusser, 2003;Bentoutou et al, 2005;DelMarco et al, 2007;Liu et al, 2008) There is a variety of automatic intensity based measures, which do not require the definition of GCPs or features. The criterion of maximization of mutual information (MI) has proven to be a breakthrough in the field of image registration.…”

Section: Image Registrationmentioning

confidence: 99%

Multitechnique Fusion of Imaging Data for Heterogeneous Materials

Artyushkova¹,

Fenton²,

Farrar³

et al. 2011

Image Fusion and Its Applications

View full text Add to dashboard Cite

A Metric for Testing the Accuracy of Cross-Modality Image Registration: Validation and Application

Abstract: (a) We have defined a reliable, sensitive metric that can stringently test the accuracy of various image registration techniques. (b) The AIR algorithm leaves modest error after aligning PET blood flow and anatomic MR images of baboon brain.

Cited by 21 publications

References 14 publications

Application of Coregistration for Imaging of Animal Models of Epilepsy

Application of Coregistration for Imaging of Animal Models of Epilepsy

PET Measurement of Dopamine D₂Receptor-Mediated Changes in Striatopallidal Function

Multitechnique Fusion of Imaging Data for Heterogeneous Materials

Contact Info

Product

Resources

About

A Metric for Testing the Accuracy of Cross-Modality Image Registration: Validation and Application

Abstract: (a) We have defined a reliable, sensitive metric that can stringently test the accuracy of various image registration techniques. (b) The AIR algorithm leaves modest error after aligning PET blood flow and anatomic MR images of baboon brain.

Cited by 21 publications

References 14 publications

Application of Coregistration for Imaging of Animal Models of Epilepsy

Application of Coregistration for Imaging of Animal Models of Epilepsy

PET Measurement of Dopamine D2Receptor-Mediated Changes in Striatopallidal Function

Multitechnique Fusion of Imaging Data for Heterogeneous Materials

Contact Info

Product

Resources

About

PET Measurement of Dopamine D₂Receptor-Mediated Changes in Striatopallidal Function