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Anatomical Global Spatial Normalization

Jack L. Lancaster, Matthew D. Cykowski, David Reese McKay, Peter V. Kochunov, Peter T. Fox, William Rogers, Arthur W. Toga, Karl Zilles, Katrin Amunts, John Mazziotta
2010 Neuroinformatics  
Anatomical global spatial normalization (aGSN) is presented as a method to scale high-resolution brain images to control for variability in brain size without altering the mean size of other brain structures  ...  An analytical method was provided to directly convert between conventional and aGSN scale factors to support adaptation of aGSN to popular spatial normalization software packages.  ...  Group-wise size is considered preserved when the "average size" of each brain structure is not altered by spatial normalization, and this is one goal of anatomical global spatial normalization (aGSN).  ... 
doi:10.1007/s12021-010-9074-x pmid:20582489 pmcid:PMC2945458 fatcat:cy72gal6szaaxi6orpx2bydqey

An Optimized Individual Target Brain in the Talairach Coordinate System

P Kochunov
2002 NeuroImage  
The goal of regional spatial normalization is to remove anatomical differences between individual three-dimensional brain images by warping them to match features of a single target brain.  ...  This was quantified by the improvements in spatial cross-correlation and between the group of brains and the optimized HRBT (P < 0.05).  ...  Spatial normalization can be broadly classified as global or regional.  ... 
doi:10.1016/s1053-8119(02)91084-0 pmid:12377166 fatcat:sedd2nfzyzd3pm2ofdvmy5tjsm

An Optimized Individual Target Brain in the Talairach Coordinate System

P. Kochunov, J. Lancaster, P. Thompson, A.W. Toga, P. Brewer, J. Hardies, P. Fox
2002 NeuroImage  
The goal of regional spatial normalization is to remove anatomical differences between individual three-dimensional brain images by warping them to match features of a single target brain.  ...  This was quantified by the improvements in spatial cross-correlation and between the group of brains and the optimized HRBT (P < 0.05).  ...  Spatial normalization can be broadly classified as global or regional.  ... 
doi:10.1006/nimg.2002.1084 pmid:12377166 fatcat:s4yjffwerbgshouz44y4btm4si

From Anatomic Standardization Analysis of Perfusion SPECT Data to Perfusion Pattern Modelling [chapter]

Christophe Grova, Pierre Jannin, Irène Buvat, Habib Benali, Jean-Yves Bansard, Arnaud Biraben, Bernard Gibaud
2003 Lecture Notes in Computer Science  
The method was applied to study two perfusion patterns, namely normal perfusion and ictal perfusion as observed in temporal lobe epilepsy.  ...  From perfusion measurements performed on anatomically standardized SPECT, we proposed to use correspondence analysis and hierarchical clustering to explore the structure of statistical dependencies among  ...  Barnden (Woodville, Australia) for providing normal SPECT data.  ... 
doi:10.1007/978-3-540-39903-2_41 fatcat:oegjmr75qzbtdk66xwlct5wetq

Global spatial normalization of human brain using convex hulls

J L Lancaster, P T Fox, H Downs, D S Nickerson, T A Hander, M El Mallah, P V Kochunov, F Zamarripa
1999 Journal of Nuclear Medicine  
The accuracy and precision of CH global spatial normalization of PET and MR brain images were evaluated in normal human subjects.  ...  Global spatial normalization transforms a brain image so that its principal global spatial features (position, orientation and dimensions) match those of a standard or atlas brain, supporting consistent  ...  CH global spatial normalization was designed for use with anatomic (MRI, CT) and functional (PET, SPECT) tomo graphic images.  ... 
pmid:10452309 fatcat:meekol524fevbnotrjtvvp3thm

Supplemental material for The Threatful Self: Midbrain Functional Connectivity to Cortical Midline and Parietal Regions During Subliminal Trauma-Related Processing in PTSD

Braeden A. Terpou, Maria Densmore, Jean Théberge, Janine Thome, Paul Frewen, Margaret C. McKinnon, Ruth A. Lanius
2019 Figshare  
All volumes were spatially normalized (2 x 2 x 2 mm 3 ) to an EPI in MNI space through the application of a deformation matrix.  ...  Fifthly, individual cropped anatomical images of the brainstem and cerebellum were normalized into the SUIT atlas template.  ... 
doi:10.25384/sage.9778139.v1 fatcat:l3dtwrn2pzg2rkujgboqncuymu

The Anatomical Distance of Functional Connections Predicts Brain Network Topology in Health and Schizophrenia

Aaron F. Alexander-Bloch, Petra E. Vértes, Reva Stidd, François Lalonde, Liv Clasen, Judith Rapoport, Jay Giedd, Edward T. Bullmore, Nitin Gogtay
2012 Cerebral Cortex  
In COS, there was reduced strength of functional connectivity over short distances especially, and therefore, global mean connection distance of thresholded graphs was significantly greater than normal  ...  As predicted from relationships between spatial and topological properties of normal networks, this disorder-related proportional increase in connection distance was associated with reduced clustering  ...  Strength of functional connectivity of longer anatomical distances was relatively normal in the COS group.  ... 
doi:10.1093/cercor/bhr388 pmid:22275481 pmcid:PMC3513955 fatcat:cd3tkfxsyjff3flk5zg7tydw5a

From Anatomic Standardization Analysis of Perfusion SPECT Data to Perfusion Pattern Modeling

Christophe Grova, Pierre Jannin, Irène Buvat, Habib Benali, Jean-Yves Bansard, Arnaud Biraben, Bernard Gibaud
2005 Academic Radiology  
A perfusion pattern is defined as a typical spatial organization of brain perfusion in a homogeneous set of SPECT data.  ...  Anatomic structures of each group showed similar perfusion behavior so that they may be functionally connected and may belong to the same network.  ...  ACKNOWLEDGMENT The authors thank Dr Leighton Barnden (Woodville, Australia) for providing normal SPECT data and Dr Eliane Kobayashi (Montreal Neurological Institute, Canada) for fruitful discussion concerning  ... 
doi:10.1016/j.acra.2004.08.014 pmid:15866127 pmcid:PMC1978216 fatcat:o3mzzis53jfvjmf7duhibjjaiy

A Three-dimensional MRI Atlas of the Mouse Brain with Estimates of the Average and Variability

N. Kovačević, J.T. Henderson, E. Chan, N. Lifshitz, J. Bishop, A.C. Evans, R.M. Henkelman, X.J. Chen
2004 Cerebral Cortex  
Although there is growing interest in finding mouse models of human disease, no technique for quickly and quantitatively determining anatomical mutants currently exists.  ...  This new type of atlas is comprised of an unbiased average brain -created from alignment of the individual brainsand the mathematical descriptors of anatomical variation across the individuals.  ...  Step 0 (Affine Average) In the initial step, the brains were first spatially normalized to share the same location, orientation and global size, and then intensity normalized to have equivalent brightness  ... 
doi:10.1093/cercor/bhh165 pmid:15342433 fatcat:o4n6qvjl2rcglbenkfbm46o5fu

Inter-subject Registration of Functional and Anatomical Data Using SPM [chapter]

P. Hellier, J. Ashburner, I. Corouge, C. Barillot, K. J. Friston
2002 Lecture Notes in Computer Science  
The paper evaluates the SPM spatial normalization method [1], which is widely used by the neuroscience community. This paper also extends the previous evaluation framework to functional MEG data.  ...  This paper is concerned with inter-subject registration of anatomical and functional brain data, and extends our previous work [7] on evaluation of intersubject registration methods.  ...  This paper also investigates the impact of spatial normalization methods on the registration of functional data.  ... 
doi:10.1007/3-540-45787-9_74 fatcat:az4m45p3inanpno5nn2veqlt2a

3D Gabor Wavelets for Evaluating Medical Image Registration Algorithms [chapter]

Linlin Shen, Dorothee Auer, Li Bai
2006 Lecture Notes in Computer Science  
The effectiveness of the descriptor is demonstrated through a practical spatial normalization example -the variance of MRGW is successfully applied to tune the parameters of a nonlinear spatial normalization  ...  The registration quality is measured by the anatomical variability of the registered images.  ...  S R <1, the nonlinear spatial normalization algorithm produces irregular results.  ... 
doi:10.1007/11812715_33 fatcat:ikbfifdnvfgltb2i7soo2sdaei

4D Semantic Cardiac Magnetic Resonance Image Synthesis on XCAT Anatomical Model [article]

Samaneh Abbasi-Sureshjani, Sina Amirrajab, Cristian Lorenz, Juergen Weese, Josien Pluim, Marcel Breeuwer
2020 arXiv   pre-print
We employ the state-of-the-art SPatially Adaptive De-normalization (SPADE) technique for conditional image synthesis to preserve the semantic spatial information of ground truth anatomy.  ...  We propose a hybrid controllable image generation method to synthesize anatomically meaningful 3D+t labeled Cardiac Magnetic Resonance (CMR) images.  ...  ., 2019) deploys the segmentation masks in novel SPatially-Adaptive (DE)normalization layers (SPADE) which despite other normalization techniques, prevents the loss of semantic information.  ... 
arXiv:2002.07089v3 fatcat:zlayximuffgcjgtrbqcjrcwlry

Spatial low frequency pattern analysis in positron emission tomography: a study between normals and schizophrenics

A V Levy, F Gomez-Mont, N D Volkow, J F Corona, J D Brodie, R Cancro
1992 Journal of Nuclear Medicine  
We applied the method to images from a group of 11 normal and 12 medicated schizophrenics tested under resting conditions and under a visual task.  ...  These high classification rates were obtained using only the four coefficients of the lowest spatial frequency.  ...  This was shown by the good discrim ination obtained across several anatomical levels while using only the global spatial coverage of the first harmonic.  ... 
pmid:1732457 fatcat:eytcwijdvbghtmgozz62ubipge

3D Gabor wavelets for evaluating SPM normalization algorithm

Linlin Shen, Li Bai
2008 Medical Image Analysis  
The effectiveness of the descriptor is demonstrated through a practical application, using the variance of MRGW response to tune parameters of a nonlinear spatial normalization algorithm, which is part  ...  We propose a 3D local anatomical structure descriptor, namely the Maximum Responded Gabor Wavelet (MRGW), for measuring registration quality based on anatomical variability of registered images.  ...  SPM spatial normalization also includes a spatial smoothing process to reduce the dynamic anatomical variability of different brains and increase the signal to noise ratio.  ... 
doi:10.1016/j.media.2007.12.004 pmid:18262824 fatcat:bddwebm5szaj5bwykbq5bojiam

Adaptive template moderated spatially varying statistical classification [chapter]

Simon K. Warfield, Michael Kaus, Ferenc A. Jolesz, Ron Kikinis
1998 Lecture Notes in Computer Science  
The new algorithm is a form of spatially varying statistical classification, in which an explicit anatomical template is used to moderate the segmentation obtained by statistical classification.  ...  The algorithm consists of an iterated sequence of spatially varying classification and nonlinear registration, which forms an adaptive, template moderated (ATM), spatially varying statistical classification  ...  The template of anatomy is used to modify the classification to produce a spatially varying, rather than global, classification.  ... 
doi:10.1007/bfb0056228 fatcat:3c3uaispmjglnoneruta6xtrme
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