Combined Volumetric and Surface Registration

Postelnicu, Gheorghe; Zöllei, Lilla; Fischl, Bruce

doi:10.1109/tmi.2008.2004426

Cited by 152 publications

(138 citation statements)

References 45 publications

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“…Some experiments have indeed shown that sulcus-based coordinate systems tend to stabilize the position of some functional landmarks [38]. The combination of shape information exacted from gyral curves, cortical surfaces together with intensity images [29,8] is a promising approach in that respect. Some algorithms also include include information from diusion MRI, such as the position of the main ber bundles [33].…”

Section: Discussionmentioning

confidence: 99%

An empirical comparison of surface-based and volume-based group studies in neuroimaging

et al. 2012

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Thirion. An empirical comparison of surface-based and volume-based group studies in neuroimaging. NeuroImage, Elsevier, 2012, 63 (3) Being able to detect reliably functional activity in a population of subjects is crucial in human brain mapping, both for the understanding of cognitive functions in normal subjects and for the analysis of patient data. The usual approach proceeds by normalizing brain volumes to a common three-dimensional template. However, a large part of the data acquired in fMRI aims at localizing cortical activity, and methods working on the cortical surface may provide better inter-subject registration than the standard procedures that process the data in the volume. Nevertheless, few assessments of the performance of surface-based (2D) versus volume-based (3D) procedures have been shown so far, mostly because inter-subject cortical surface maps are not easily obtained. In this paper we present a systematic comparison of 2D versus 3D group-level inference procedures, by using cluster-level and voxel-level statistics assessed by permutation, in random eects (RFX) and mixed-eects analyses (MFX). We consider dierent schemes to perform meaningful comparisons between thresholded statistical maps in the volume and on the cortical surface. We nd that surface-based multi-subject statistical analyses are generally more sensitive than their volume-based counterpart, in the sense that they detect slightly denser networks of regions when performing peak-level detection; this eect is less clear for cluster-level inference and is reduced by smoothing. Surface-based inference also increases the reliability of the activation maps.

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Section: Discussionmentioning

confidence: 99%

An empirical comparison of surface-based and volume-based group studies in neuroimaging

et al. 2012

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“…PET-MR coregistration was estimated using boundary-based registration (Greve and Fischl, 2009) between the timeweighted sum of the PET time-activity curves (TACs) and the structural MRI. Additionally, the transformation from individual MR space to normal MNI152 space was estimated with combined volume-surface (CVS) registration (Postelnicu et al, 2009).…”

Section: Methodsmentioning

confidence: 99%

A High-ResolutionIn VivoAtlas of the Human Brain's Serotonin System

et al. 2016

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The serotonin (5-hydroxytryptamine, 5-HT) system modulates many important brain functions and is critically involved in many neuropsychiatric disorders. Here, we present a high-resolution, multidimensional, in vivo atlas of four of the human brain's 5-HT receptors (5-HT 1A , 5-HT 1B , 5-HT 2A , and 5-HT 4 ) and the 5-HT transporter (5-HTT). The atlas is created from molecular and structural high-resolution neuroimaging data consisting of positron emission tomography (PET) and magnetic resonance imaging (MRI) scans acquired in a total of 210 healthy individuals. Comparison of the regional PET binding measures with postmortem human brain autoradiography outcomes showed a high correlation for the five 5-HT targets and this enabled us to transform the atlas to represent protein densities (in picomoles per milliliter). We also assessed the regional association between protein concentration and mRNA expression in the human brain by comparing the 5-HT density across the atlas with data from the Allen Human Brain atlas and identified receptor-and transporter-specific associations that show the regional relation between the two measures. Together, these data provide unparalleled insight into the serotonin system of the human brain.

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“…Our study could be interestingly extended using efficient non-linear methods such as IRTK, surface-based registration methods (e.g. FreeSurfer (Fischl et al, 1999;Yeo et al, 2009)) or recent combinations of volume and surface registration (Postelnicu et al, 2009;Du et al, 2011). Indeed, surface based analysis is attractive especially for functional data analysis because it respects the essentially 2D-structure of the cortical ribbon facilitating for instance the affectation of activation to the right side of the bank of a sulcus.…”

Section: Methological Issuesmentioning

confidence: 99%

Local landmark alignment for high-resolution fMRI group studies: Toward a fine cortical investigation of hand movements in human

Pizzagalli

Auzias²,

Delon‐Martin

et al. 2013

Journal of Neuroscience Methods

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Converging evidence conclusively demonstrates the robust relationship between anatomical landmarks and underlying functional organization in primary cortical regions. In consequence, a precise alignment across subjects of such specific individual landmarks should improve the overlap of the corresponding functional areas and thus the detection of active clusters at the group level. In an effort to define a dedicated processing pipeline for a fine non-invasive exploration of the motor cortex in human, we evaluated four recent non-linear registration methods based on anatomical and functional indexes. We used high-resolution functional MRI data to finely reveal the impact of the registration on the cortical assignment of the detected clusters. Our results first demonstrate that the quality of registration strongly affects the statistical significance and the assignment of activated clusters to specific anatomical regions, here in the primary motor area. Our results also illustrate the bias induced by the chosen reference template on the detected clusters. The analysis of the jacobian of the deformation field informs us about how each method deforms the anatomical structures and functional maps.The methodology we propose, combining high resolution fMRI and non-linear registration method, allows a robust non-invasive exploration of the motor cortex. * . Corresponding author at : Grenoble Institut des Neurosciences, INSERM U836, Batiment Edmond J Safra, Chemin Fortuné Ferrini, 38700 La Tronche, FR. Tel : +33 456520601 Fax : +33 452560599. E-mail address : Michel.Dojat@ujf-grenoble.fr (M. Dojat). Preprint submitted to Journal of Neuroscience Methods 9 avril 2013Keywords: Realignment, Diffeomorphic Registration, Functional MRI, Structural MRI, Jacobian, Sulci, Brain. Highlights• We propose the combination of high-resolution fMRI with non-linear registration technique involving explicit anatomical constraint for individual cortex region alignment.• Precise local anatomical landmark alignment improves functional cluster detection and localization at group level.• The quality of the registration obtained is assessed by both structural and functional indexes.

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Combined Volumetric and Surface Registration

Cited by 152 publications

References 45 publications

An empirical comparison of surface-based and volume-based group studies in neuroimaging

An empirical comparison of surface-based and volume-based group studies in neuroimaging

A High-ResolutionIn VivoAtlas of the Human Brain's Serotonin System

Local landmark alignment for high-resolution fMRI group studies: Toward a fine cortical investigation of hand movements in human

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