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Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space
Abstract
OBJECTIVE: In both diagnostic and research applications, the interpretation of MR images of the human brain is facilitated when different data sets can be compared by visual inspection of equivalent anatomical planes. Quantitative analysis with predefined atlas templates often requires the initial alignment of atlas and image planes. Unfortunately, the axial planes acquired during separate scanning sessions are often different in their relative position and orientation, and these slices are not coplanar with those in the atlas. We have developed a completely automatic method to register a given volumetric data set with Talairach stereotaxic coordinate system. MATERIALS AND METHODS: The registration method is based on multi-scale, three-dimensional (3D) cross-correlation with an average (n > 300) MR brain image volume aligned with the Talariach stereotaxic space. Once the data set is re-sampled by the transformation recovered by the algorithm, atlas slices can be directly superimposed on the corresponding slices of the re-sampled volume. the use of such a standardized space also allows the direct comparison, voxel to voxel, of two or more data sets brought into stereotaxic space. RESULTS: With use of a two-tailed Student t test for paired samples, there was no significant difference in the transformation parameters recovered by the automatic algorithm when compared with two manual landmark-based methods (p > 0.1 for all parameters except y-scale, where p > 0.05). Using root-mean-square difference between normalized voxel intensities as an unbiased measure of registration, we show that when estimated and averaged over 60 volumetric MR images in standard space, this measure was 30% lower for the automatic technique than the manual method, indicating better registrations. Likewise, the automatic method showed a 57% reduction in standard deviation, implying a more stable technique. The algorithm is able to recover the transformation even when data are missing from the top or bottom of the volume. CONCLUSION: We present a fully automatic registration method to map volumetric data into stereotaxic space that yields results comparable with those of manually based techniques. The method requires no manual identification of points or contours and therefore does not suffer the drawbacks involved in user intervention such as reproducibility and interobserver variability.
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“It has been shown that the automatic stereotaxic transformation is as accurate as the manual procedure but shows higher stability (Collins et al., 1994).”
From Self-esteem, locus of control, hippocampal volume, and cortisol regulation in young and old adulthood (2005) · cites this paper as Collins et al., 1994
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Self-citationA new improved version of the realistic digital brain phantom
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“This image was linearly registered (9 parameters using cross correlation) to the International Consortium for Brain Mapping (ICBM) average brain space (Evans et al., 1993) using the mritotal automatic stereotaxic registration procedure (Collins et al., 1994).”
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“…were registered to the spatially normalized, T1-weighted MR single-subject brain of the Montreal Neurological Institute (MNI; Evans et al., 1993; Collins et al., 1994; Holmes et al., 1998) by using an affine, linear transformation and an 54 H.-J. CHOI ET AL. elastic, nonlinear algorithm…”
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“BOLD signal images were spatially smoothed (6-mm Gaussian kernel), corrected for motion, and linearly transformed into standard stereotaxic space (Talairach & Tournoux, 1988) using inhouse software ( Collins, Neelin, Peters, & Evans, 1994 ).”
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Self-citationPaus, T., Perry, D. W., Zatorre, R. J., Worsley, K. J., & Evans, A. C. (1996) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.1996.tb01187.x · Cited by 265
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“Pre-processing of the data used SPM2 realignment, reslicing with sinc interpolation, normalization to the MNI coordinate system (Montreal Neurological Institute) (Collins et al., 1994) used throughout this article, and spatial smoothing with a 8mm full width at half maximum isotropic Gaussian kernel and global scaling.”
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“We listed for each brain site the corresponding Brodmann’s areas and MNI coordinates.”
BackgroundInfluentialNormative brain size variation and brain shape diversity in humans
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“Here pi(i = 1, K, Ng) are the probabilities of the grid points for belonging to the gray matter and were derived from the average Probabilistic MRI Atlas (PMA) produced by the Montreal Neurological Institute (Collins et al., 1994; Evans et al., 1993, 1994; Mazziotta et al., 1995).”
Twenty New Digital Brain Phantoms for Creation of Validation Image Data Bases
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“In addition to the MRI-to-native transform, a 12-parameter affine transform (M2) from the individual native space to the MNI reference-space defined by the MNI-305 template (Evans et al., 1993; Collins et al., 1994) was calculated for each individual using the ‘Normalise’ function (Friston et al., 1995) in SPM8.”
InfluentialA specific and rapid neural signature for parental instinct
Kringelbach, M. L., Lehtonen, A., Squire, S., Harvey, A. G., Craske, M. G., Holliday, I. E., Green, A. L., Aziz, T. Z., Hansen, P. C., Cornelissen, P. L., et al. (2008) · PLoS ONE · doi:10.1371/journal.pone.0001664 · Cited by 262
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Hemispheric lateralization of somatosensory processing
Coghill, R. C., Gilron, I., & Iadarola, M. J. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.85.6.2602 · Cited by 257
“…sagittal images with an in-plane resolution of 0.98 mm, extended dynamic range, 2563 256 matrix, 1 nexus, TE5 minimum, Flip Angle 5 20°) were obtained for each subject and were used for transformation of PET data into standard stereotaxic space (Collins et al. 1994; Talairach and Tournoux 1988).”
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Zarate, J. M., & Zatorre, R. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.01.026 · Cited by 257
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“These templates were then digitized and non-linearly transformed into MNI space (Collins et al., 1994) using SPM5.”
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Morphometry of the amusic brain: a two-site study
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“The tissue-classified white matter and grey matter maps were smoothed using a Gaussian smoothing kernel of 10-mm full width at half-maximum, resulting in three-dimensional maps of white matter and grey matter concentration.”
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Apostolova, L. G., Dinov, I. D., Dutton, R. A., Hayashi, K. M., Toga, A. W., Cummings, J. L., & Thompson, P. M. (2006) · Brain · doi:10.1093/brain/awl274 · Cited by 251
“…acquisition perpendicular to the long axis of the hippocampus, TR 28 ms, TE 6 ms, FOV 220 mm, 256 · 192 matrix, slice thickness 1.5 mm. MRI scans were rotated and globally scaled to match the ICBM53 average brain imaging template using a 9-parameter linear transformation (Collins et al., 1994).”
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ANIMAL+INSECT: Improved Cortical Structure Segmentation
Collins, D. L., Zijdenbos, A. P., Baaré, W. F. C., & Evans, A. C. (1999) · Lecture notes in computer science · doi:10.1007/3-540-48714-x_16 · Cited by 258
“We have combined preprocessing steps (image intensity non-uniformity correction [24]), linear registration (animal in linear mode [25]) and resampling into stereotaxic space, cortical surface extraction (Multiple surface deformation or msd [26,27]), tissue classification (insect [28]), and non-linear registration (ani…”
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Self-citationThe cortical deficit in humans with strabismic amblyopia
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“Preprocessing of the data used SPM5 realignment, reslicing with sinc interpolation, normalization to the Montreal Neurological Institute (MNI) coordinate system and spatial smoothing with a 6-mm full width at half maximum isotropic Gaussian kernel and global scaling (Collins et al. 1994).”
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Zeighami, Y., Ulla, M., Iturria‐Medina, Y., Dadar, M., Zhang, Y., Larcher, K. M.-H., Fonov, V., Evans, A. C., Collins, D. L., & Dagher, A. (2015) · eLife · doi:10.7554/elife.08440 · Cited by 241
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“, 1993) and automatically resampled (Collins et al., 1994) to fit the standardized stereotaxic space of Talairach and Tournoux (1988) as defined by the MNI 305 template.”
MethodRelating Structure to Function: Heschl's Gyrus and Acoustic Processing
Warrier, C. M., Wong, P. C. M., Penhune, V. B., Zatorre, R. J., Parrish, T. B., Abrams, D. A., & Kraus, N. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.3489-08.2009 · Cited by 259
“They were normalized to a right/left symmetric template of standard stereotaxic space using only linear transformations to avoid warping of pertinent brain structures (Collins et al., 1994).”
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“…of functional images included motion correction, unwarping by use of a static field map, slice time correction to the middle slice, normalization into MNI space (Montreal Neurological Institute, Collins et al., 1994), and spatial smoothing with a Gaussian Filter (10 mm full width half maximum).”
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Morra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Avedissian, C., Madsen, S. K., Parikshak, N., Toga, A. W., Jack, C. R., Schuff, N. W., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.043 · Cited by 244
“, 2001) with a 9-parameter (9P) transformation (3 translations, 3 rotations, 3 scales) using the Minctracc algorithm (Collins et al., 1994).”
MethodAuditory Attention to Space and Frequency Activates Similar Cerebral Systems
Zatorre, R. J., Mondor, T. A., & Evans, A. C. (1999) · NeuroImage · doi:10.1006/nimg.1999.0491 · Cited by 238
“…f e i S f p e a c T i t c w c c a a a W T t B s a i i o F i c r R t t A a s p ( t i t f w n c H 1 i t v e c C a C ( s 2 s T a c b s w s g w t t q d c s t ( w s i t s m ( t tereotaxic coordinate system of Talairach and Tournux (1988) via an automated feature-matching algoithm (Collins et al., 1994).”
MethodSelf-citationJohnson, J. A., & Zatorre, R. J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.026 · Cited by 247
“The combined functional runs of each subject were then transformed to MNI305 space (Collins et al., 1994) using a function derived from transforming each individual subjects’ anatomical scan to MNI305 space.”
MethodeConnectome: A MATLAB toolbox for mapping and imaging of brain functional connectivity
He, B., Dai, Y., Astolfi, L., Babiloni, F., Yuan, H., & Yang, L. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.11.015 · Cited by 229
Morra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Toga, A. W., & Thompson, P. M. (2009) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2009.2021941 · Cited by 238
“brain MRI was co-registered with scaling (nine-parameter transformation) to the ICBM53 average brain template [13].”
Elastic registration in the presence of intensity variations
Periaswamy, S., & Farid, H. (2003) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2003.815069 · Cited by 237
Rolls, E. T., McCabe, C., & Redouté, J. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm097 · Cited by 251
“Preprocessing of the data used SPM2 realignment, reslicing with sinc interpolation, normalization to the Montreal Neurological Institute (MNI) coordinate system (Collins et al. 1994), and spatial smoothing with a 8-mm full width at half maximum isotropic Gaussian kernel.”
The Somatotopic Organization of Cytoarchitectonic Areas on the Human Parietal Operculum
Eickhoff, S. B., Grefkes, C., Zilles, K., & Fink, G. R. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhl090 · Cited by 227
“normalized to the Montreal Neurological Institute (MNI) single-subject template (Evans et al. 1992; Collins et al. 1994; Holmes et al. 1998) using linear proportions and a nonlinear sampling algorithm (Ashburner and Friston 2003a, 2003c).”
MethodBrain Structure in Preclinical Huntington’s Disease
Paulsen, J. S., Magnotta, V. A., Mikos, A., Paulson, H. L., Penziner, E., Andreasen, N. C., & Nopoulos, P. (2005) · Biological Psychiatry · doi:10.1016/j.biopsych.2005.06.003 · Cited by 236
Rademacher, J. (2001) · Brain · doi:10.1093/brain/124.11.2232 · Cited by 229
“4 constructed by averaging numerous individual MRI brains (Collins et al., 1994) share the same limitations.”
BackgroundAttentional Modulation of Object Representations in Working Memory
Lepsien, J., & Nobre, A. C. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhl116 · Cited by 249
“Structural and functional images were spatially normalized into a standardized anatomical framework (Montreal Neurological Institute [MNI]-space; Collins et al. 1994) using the T1 template provided by the Medical Research Council--Cognition and Brain Sciences Unit in Cambridge, UK…”
BackgroundMethodFunctional coupling of simultaneous electrical and metabolic activity in the human brain
Oakes, T. R., Pizzagalli, D. A., Hendrick, A. M., Horras, K. A., Larson, C. L., Abercrombie, H. C., Schaefer, S. M., Koger, J. V., & Davidson, R. J. (2004) · Human Brain Mapping · doi:10.1002/hbm.20004 · Cited by 235
“…EEG epochs were analyzed with LORETA, which used a three-shell spherical head model [Ary et al., 1981] registered to the MNI-305 brain atlas [Collins et al., 1994; Evans et al., 1993] from the Brain Imaging Centre of the Montreal Neurologic Institute (referred to here as MNI coordinate…”
MethodLeyton, M., Okazawa, H., Dikšić, M., Paris, J., Rosa‐Neto, P., Mzengeza, S., Young, S. N., Blier, P., & Benkelfat, C. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.5.775 · Cited by 234
Sex and age differences in atrophic rates: an ADNI study with n=1368 MRI scans
Hua, X., Hibar, D. P., Lee, S., Toga, A. W., Jack, C. R., Weiner, M. W., & Thompson, P. M. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2010.04.033 · Cited by 234
Tomaiuolo, F., MacDonald, J. D., Caramanos, Z., Posner, G., Chiavaras, M. M., Evans, A. C., & Petrides, M. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00718.x · Cited by 234
“single MRI volume with the intensity average of 305 MRI brain volumes previously aligned into the standardized stereotaxic space (Collins et al., 1994). This resampling results in a volume of 160 axial slices with an in-plane matrix of 256 3 256 pixels. The thickness of the interpolated sagittal, axial and coronal sli…”
BackgroundMethodInfluentialSelf-citationSteele, C. J., & Penhune, V. B. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5569-09.2010 · Cited by 242
“Each participant’s daily anatomical and functional images were transformed into common Talairach and Tournoux stereotaxic space with an affine transformation to the ICBM 152 template (Collins et al., 1994).”
MethodAttention to Simultaneous Unrelated Auditory and Visual Events: Behavioral and Neural Correlates
Johnson, J. A., & Zatorre, R. J. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi039 · Cited by 230
“BOLD signal images were smoothed using a 12 mm Gaussian kernel, corrected for motion and transformed into standard stereotaxic space using in-house software (Collins et al., 1994).”
MethodFunctional MRI Evidence of an Abnormal Neural Network for Pitch Processing in Congenital Amusia
Hyde, K. L., Zatorre, R. J., & Peretz, I. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq094 · Cited by 230
“In-house software (Collins et al. 1994) was used in the preprocessing of the BOLD images.”
BackgroundMethodInfluentialWorking memory and syntax interact in Broca's area
Santi, A., & Grodzinsky, Y. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.04.047 · Cited by 229
“The contrasts from the two runs for each subject were combined in a weighted average, transformed to a standardized space (MNI coordinates) using in-house software (Collins et al., 1994), and then entered into group maps (fixed effect).”
MethodPaus, T., Jech, R., Thompson, C. J., Comeau, R. M., Peters, T. M., & Evans, A. C. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.2.1102 · Cited by 227
“…and transformed into the covariance (Sokal and Rohlf 1981), with subjects as a main effectstandardized stereotaxic space with an automatic feature-detection and the number of pulse-trains administered during the scan as aalgorithm (Collins et al. 1994); the MRIs (160 contiguous 1-mmcovariate.”
BackgroundMethodSelf-citationDifferentiation of Visceral and Cutaneous Pain in the Human Brain
Strigo, I. A., Duncan, G. H., Boivin, M., & Bushnell, M. C. (2003) · Journal of Neurophysiology · doi:10.1152/jn.01048.2002 · Cited by 235
“All images were resampled into stereotaxic space (Collins et al. 1994).”
MethodDecoding of Emotional Information in Voice-Sensitive Cortices
Ethofer, T., Ville, D. V. D., Scherer, K. R., & Vuilleumier, P. O. (2009) · Current Biology · doi:10.1016/j.cub.2009.04.054 · Cited by 243
“Preprocessing comprised realignment, unwarping [41], slice time correction, and normalization into MNI space (Montreal Neurological Institute [42], resampled voxel size: 3 3 3 3 3 mm3).”
Kashon, M. L., Arbogast, J. A., & Sisk, C. L. (1996) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19961223)376:4 · Cited by 48
Self-citationWarm pleasant feelings in the brain
Rolls, E. T., Grabenhorst, F., & Parris, B. A. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.005 · Cited by 227
“Pre-processing of the data used SPM5 realignment, reslicing with sinc interpolation, normalisation to the MNI coordinate system (Montreal Neurological Institute) (Collins et al., 1994), and spatial smoothing with a 6 mm full width at half maximum isotropic Gaussian kernel.”
Grothe, M. J., Záborszky, L., Atienza, M., Gil-Neciga, E., Rodriguez‐Romero, R., Teipel, S., Amunts, K., Gonzalez, A. S., & Cantero, J. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp232 · Cited by 223
Meerwijk, E. L., Ford, J. M., & Weiss, S. J. (2012) · Brain Imaging and Behavior · doi:10.1007/s11682-012-9179-y · Cited by 238
“(Collins et al. 1994), a conversion to Talairach space was carried out using the BrainMap software developed by the Research Imaging Institute, University of Texas Health Science Center San Antonio (Eickhoff et al.”
MethodUltra-high field MRI: Advancing systems neuroscience towards mesoscopic human brain function
Dumoulin, S. O., Fracasso, A., van der Zwaag, W., Siero, J. C. W., & Petridou, N. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.028 · Cited by 216
“In particular, use of spatial smoothing and/or averaging subjects in a common (linear) stereotaxic space (Collins et al., 1994; Talairach and Tournoux, 1988) will decrease the effective spatial resolution and thereby sacrifice the increased sensitivity and specificity.”
Thompson, P. M., & Toga, A. W. (1997) · Medical Image Analysis · doi:10.1016/s1361-8415(97)85002-5 · Cited by 227
“Conversely, highdimensional warping algorithms (Christensen et al., 1993, 1996; Collins et al., 1994a; Rabbitt et al., 1995; Thirion, 1995; Davatzikos, 1996; Thompson and Toga, 1996a, Bro- Nielsen and Gramkow, 1996) can also be used to transfer all the information in a 3-”
BackgroundMethodCortical thickness analysis in temporal lobe epilepsy
Bernhardt, B. C., Bernasconi, N., Concha, L., & Bernasconi, A. (2010) · Neurology · doi:10.1212/wnl.0b013e3181e0f80a · Cited by 226
Increased Extra-axial Cerebrospinal Fluid in High-Risk Infants Who Later Develop Autism
Shen, M. D., Kim, S. H., McKinstry, R. C., Gu, H., Hazlett, H. C., Nordahl, C. W., Emerson, R. W., Shaw, D., Elison, J. T., Swanson, M. R., et al. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2017.02.1095 · Cited by 235
Self-citationSpatial Normalization of 3D Brain Images Using Deformable Models
Davatzikos, C. A. (1996) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199607000-00031 · Cited by 225
Brain networks for analyzing eye gaze
Hooker, C. I., Paller, K. A., Gitelman, D. R., Parrish, T. B., Mesulam, M. M., & Reber, P. J. (2003) · Cognitive Brain Research · doi:10.1016/s0926-6410(03)00143-5 · Cited by 218
Collins, D. L., & Pruessner, J. C. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.193 · Cited by 227
“Next, each dataset was stereotaxically transformed using an affine transformation into the Talairach-like MNI coordinate system (Collins et al., 1994) and resampled onto a 1 mm isotropic grid using a tri-linear kernel.”
MethodSelf-citationAgam, Y., Joseph, R. M., Barton, J. J. S., & Manoach, D. S. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.010 · Cited by 239
“The motion-corrected functional scans were registered to the Montreal Neurological Institute (MNI152) atlas (Collins et al., 1994) using FSL (FMRIB Software Library, www.”
MethodInfluentialSimplified intersubject averaging on the cortical surface using SUMA
Argall, B. D., Saad, Z. S., & Beauchamp, M. S. (2006) · Human Brain Mapping · doi:10.1002/hbm.20158 · Cited by 200
“While volume-averaging techniques are simple and reliable [Collins et al., 1994], they suffer from a key limita-* tion.”
MethodDopamine depletion impairs frontostriatal functional connectivity during a set-shifting task
Nagano-Saito, A., Leyton, M., Monchi, O., Goldberg, Y. K., He, Y., & Dagher, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.3921-07.2008 · Cited by 222
“The resulting effects and SD images were then linearly transformed into the standard proportional stereotaxic space of the MNI template (ICBM152) using the parameters of the anatomical MRI to template transformation, which were computed using a feature-matching algorithm (Collins et al., 1994).”
MethodIndividualized localization and cortical surface-based registration of intracranial electrodes
Dykstra, A. R., Chan, A. M., Quinn, B. T., Zepeda, R., Keller, C. J., Cormier, J., Madsen, J. R., Eskandar, E. N., & Cash, S. S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.046 · Cited by 221
“Given the fact that subdural electrodes are positioned on the cortical surface, this method of group analysis should prove more accurate when compared to the standard volumetric-based analyses (Collins et al., 1994; Miller et al., 2007; Ritzl et al., 2007; Talairach and Tournoux, 1988).”
Social cognition and the cerebellum: A meta‐analytic connectivity analysis
Overwalle, F. V., D’aes, T., & Mariën, P. (2015) · Human Brain Mapping · doi:10.1002/hbm.23002 · Cited by 220
“…between ages 10 and 19 according to the definition of the World Health Organization), used fMRI scanning, involved non-emotional stimuli or tasks, and reported the coordinates of activations in the space of the MNI template [Collins et al., 1994] or the atlas of Talairach and Tournoux (1988).”
MethodUmami: a delicious flavor formed by convergence of taste and olfactory pathways in the human brain
McCabe, C., & Rolls, E. T. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05445.x · Cited by 221
“Preprocessing of the data used SPM2 realignment, reslicing with sinc interpolation, normalization to the MNI coordinate system (Montreal Neurological Institute; Collins et al., 1994), and spatial smoothing with an 8 mm full width at half maximum isotropic Gaussian kernel.”
Method
Metadata
- Authors
- Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C.
- Affiliations
- Montreal Neurological Institute and Hospital (CA)
- Venue
- Journal of Computer Assisted Tomography
- Published
- 1994-03
- Volume
- 18
- Issue
- 2
- Pages
- 192-205
- ISSN
- 0363-8715 (ISSN-L)
- OpenAlex
- W2141796362
- Cited by
- 3,431
- References
- 0
- Citations by year
- 2026: 57 · 2025: 76 · 2024: 100 · 2023: 76 · 2022: 85 · 2021: 134 · 2020: 103 · 2019: 110 · 2018: 108 · 2017: 102 · 2016: 114 · 2015: 154 · 2014: 157 · 2013: 160 · 2012: 160
- FWCI
- 37.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Computer Assisted Tomography (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Brain Tumor Detection and Classification
- Keywords
- 3D registration, automatic image registration, interobserver variability
- MeSH terms
- Algorithms, Basal Ganglia, Brain, Brain Mapping, Cerebellum, Cerebral Cortex, Cerebral Ventricles, Corpus Callosum, Humans, Image Enhancement, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Models, Structural, Stereotaxic Techniques
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