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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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Dawant, B. M., Hartmann, S. L., Thirion, J.-P., Maes, F., Vandermeulen, D., & Demaerel, P. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.811271 · Cited by 217
“Collins [8] has used a multiresolution approach in which the overall nonlinear transformation is composed of a set of local linear deformations obtained by maximizing the correlation of intensity and gradient features in the images to be registered.”
MethodSchwartz, C., Wright, C. I., Shin, L. M., Kagan, J., Whalen, P. J., McMullin, K. G., & Rauch, S. L. (2003) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01906-6 · Cited by 217
“For Talairach transformation, the automated registration procedures of the Montreal Neurologic Institute ( Collins et al 1994 ) were used to compute a transformation matrix from the high-resolution 3D sagittal MRI images (free documentation and software are available at ftp://ftp.bic.mni.mcgill.ca/pub/mni_ autoreg/).”
MethodNeural Correlates of Rule-Based and Information-Integration Visual Category Learning
Nomura, E., Maddox, W. T., Filoteo, J. V., Ing, A. D., Gitelman, D. R., Parrish, T. B., Mesulam, M. M., & Reber, P. J. (2006) · Cerebral Cortex · doi:10.1093/cercor/bhj122 · Cited by 232
Stark, C. E. L., & Okado, Y. (2003) · Journal of Neuroscience · doi:10.1523/jneurosci.23-17-06748.2003 · Cited by 220
“Unlike the ubiquitous alignment of brains to the atlas of Talairach and Tournoux (1988) or to the collection of 305 normalized brains assembled by the Montreal Neurological Institute (Collins et al., 1994), ROI-AL optimizes regional alignment at the expense of whole-brain alignment to increase the statistical power an…”
BackgroundInfluentialMultiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation
Choi, Y. Y., Shamosh, N. A., Cho, S. H., DeYoung, C. G., Lee, M.-J., Lee, J., Kim, S. I., Cho, Z., Kim, K., Gray, J. R., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.3259-08.2008 · Cited by 220
“, 1998), spatially registered to stereotaxic space (Collins et al., 1994), and masked to remove extra-cerebral voxels.”
BackgroundDeep Brain Stimulation Influences Brain Structure in Alzheimer's Disease
Sankar, T., Chakravarty, M. M., Bescós, A., Lara, M., Obuchi, T., Laxton, A. W., McAndrews, M. P., Tang‐Wai, D. F., Workman, C. I., Smith, G. S., et al. (2014) · Brain stimulation · doi:10.1016/j.brs.2014.11.020 · Cited by 225
“MRI data were rigidly aligned (three translations and rotations) to PET data in order to get information regarding total glucose metabolism in the hippocampus [32].”
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Kennerley, S. W., Sakai, K., & Rushworth, M. F. S. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00651.2003 · Cited by 215
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The Effects of Musical Training on Structural Brain Development: A Longitudinal Study
Hyde, K. L., Lerch, J., Norton, A., Forgeard, M., Winner, E., Evans, A. C., & Schlaug, G. (2009) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.04852.x · Cited by 215
Self-citationAge of acquisition effects on the functional organization of language in the adult brain
Mayberry, R. I., Chen, J., Witcher, P. E., & Klein, D. (2011) · Brain and Language · doi:10.1016/j.bandl.2011.05.007 · Cited by 222
“Finally, average across participants was achieved by first normalizing individual data through linear registration to the Montreal Neurological Institute template (MNI305) using an in-house algorithm (Collins, Neelin, Peters, & Evans, 1994).”
Alexander-Bloch, A., Clasen, L., Stockman, M., Ronan, L., Lalonde, F., Giedd, J., & Raznahan, A. (2016) · Human Brain Mapping · doi:10.1002/hbm.23180 · Cited by 178
“For the CIVET analysis, images were registered into a standardized stereotaxic space by means of a linear transformation and corrected for intensity non-uniformities [Collins et al., 1994; Sled et al., 1998].”
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“Spatial normalization to a stereotaxic space was performed using a nine-parameter linear registration [Collins et al., 1994].”
MethodPositron emission tomography of cortical centers of tinnitus
Mirz, F., Pedersen, C. B., Ishizu, K., Johannsen, P., Ovesen, T., Stødkilde‐Jørgensen, H., & GJEDDE, A. H. (1999) · Hearing Research · doi:10.1016/s0378-5955(99)00075-1 · Cited by 217
“PET and MRI data of each subject were individually co-registered (Collins et al., 1994) and the matched PET-MRI data sets were re-sampled in the standardized stereotaxic coordinate system of Talairach and Tournoux (1988).”
MethodBosch‐Bayard, J., Valdes-Sosa, P. A., Virues-Alba, T. A., Aubert-Vázquez, E., John, E. R., Harmony, T., Riera-Diaz, J. J., & Trujillo‐Barreto, N. J. (2001) · Clinical Electroencephalography · doi:10.1177/155005940103200203 · Cited by 216
Longitudinal stability of MRI for mapping brain change using tensor-based morphometry
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“uk/fsl, FMRIB, Oxford) to coregister the b0 image in diffusion MRI space to the T1-weighted structural image and then to the T1 template of ICBM152 in MNI space [73].”
Pizzagalli, D. A., Peccoralo, L. A., Davidson, R. J., & Cohen, J. D. (2005) · Human Brain Mapping · doi:10.1002/hbm.20172 · Cited by 222
“…which were both registered to the digitized MRI available from the Brain Imaging Centre, Montreal Neurologic Institute [MNI305; Evans et al., 1993; Collins et al., 1994].3 According to the digitized MNI probability atlases, the solution space was restricted to cortical gray matter and…”
MethodInfluentialVolume of Left Heschl's Gyrus and Linguistic Pitch Learning
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“Similar to other related studies (e.g., Golestani et al. 2007), these images were normalized to a standard stereotaxic space using only linear transformations to avoid warping of pertinent brain structures (Collins et al. 1994).”
MethodResultØstergaard, L., Johannsen, P., Høst-Poulsen, P., Vestergaard‐Poulsen, P., Asboe, H., Gee, A. D., Hansen, S. B., Cold, G. E., GJEDDE, A. H., & Gyldensted, C. (1998) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199809000-00002 · Cited by 214
Burton, H. (1999) · Cerebral Cortex · doi:10.1093/cercor/9.7.662 · Cited by 219
“Our atlas transformation strategy is similar to that described by Collins and colleagues (Collins et al., 1994).”
ResultImage Registration Techniques: An overview
Wyawahare, M. V., Patil, P. M., & Abhyankar, H. K. (2009) · Cited by 218
How Pleasant and Unpleasant Stimuli Combine in Different Brain Regions: Odor Mixtures
Fabian Grabenhorst, B., Rolls, E. T., Margot, C., da Silva, M. A. A. P., & Velazco, M. I. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.3337-07.2007 · Cited by 233
“Preprocessing of the data used SPM5 realignment, reslicing with sinc interpolation, normalization to the MNI (Montreal Neurological Institute) coordinate system (Collins et al., 1994), and spatial smoothing with a 6 mm full-width at half maximum isotropic Gaussian kernel.”
MethodChouinard, P. A., van der Werf, Y. D., Leonard, G. T., & Paus, T. (2003) · Journal of Neurophysiology · doi:10.1152/jn.01105.2002 · Cited by 218
“5-T system and transformed these images into standardized stereotaxic space using an automatic feature-matching algorithm (Collins et al. 1994).”
MethodInfluentialValidation of ICA-based myogenic artifact correction for scalp and source-localized EEG
McMenamin, B. W., Shackman, A. J., Maxwell, J. S., Bachhuber, D. R. W., Koppenhaver, A. M., Greischar, L. L., & Davidson, R. J. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.010 · Cited by 214
“The source-space is normalized to the Montreal Neurological Institute's probabilistic MRI anatomical template (i.e., MNI305; Evans et al., 1993; Collins et al., 1994), restricted to the cerebral gray matter, hippocampi, and amygdalae on a 7-mm3 isotropic lattice.”
The BrainMap strategy for standardization, sharing, and meta-analysis of neuroimaging data
Laird, A. R., Eickhoff, S. B., Fox, P. M., Uecker, A. M., Ray, K. L., Saenz, J. J., McKay, D., Bzdok, D., Laird, R. W., Robinson, J. L., et al. (2011) · BMC Research Notes · doi:10.1186/1756-0500-4-349 · Cited by 207
“Most commonly, these tables of coordinates refer to locations in Talairach [19] or MNI standard spaces [20].”
BackgroundHow the Brain Represents the Reward Value of Fat in the Mouth
Fabian Grabenhorst, B., Rolls, E. T., Parris, B. A., & D’Souza, A. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp169 · Cited by 210
“Preprocessing of the data used SPM5 realignment and unwarping, reslicing with sinc interpolation, normalization to the Montreal Neurological Institute coordinate system (Collins et al. 1994), and spatial smoothing with a 6-mm full width at half maximum isotropic Gaussian kernel.”
MethodFunctional MRI detection of pharmacologically induced memory impairment
Sperling, R. A., Greve, D. N., Dale, A. M., Killiany, R., Holmes, J., Rosas, H. D., Cocchiarella, A. J., Firth, P. G., Rosen, B. R., Lake, S. L., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012467899 · Cited by 212
Working memory capacity in schizophrenia: a parametric fMRI study
Jansma, J. M. (2003) · Schizophrenia Research · doi:10.1016/s0920-9964(03)00127-0 · Cited by 208
“All individual maps were then spatially normalized into CMNITalairach space using a linear transformation (Collins et al., 1994).”
MethodSmith, S. M. (2004) · British Journal of Radiology · doi:10.1259/bjr/33553595 · Cited by 211
“These consist of data which are transformed into some ''standard brain space'', for example the co-ordinate system specified by Talairach and Tournoux [11].”
Identifying human parieto‐insular vestibular cortex using fMRI and cytoarchitectonic mapping
Eickhoff, S. B., Weiss, P. H., Amunts, K., Fink, G. R., & Zilles, K. (2005) · Human Brain Mapping · doi:10.1002/hbm.20205 · Cited by 210
“The high-resolution anatomic scan was coregistered to the mean of the realigned (functional) images and then spatially normalized to the T1-weighted Montreal Neurological Institute (MNI single-subject template [Collins et al., 1994; Evans et al., 1992; Holmes et al., 1998] using linear Figure 2.”
MethodMorra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Avedissian, C., Madsen, S. K., Parikshak, N., Hua, X., Toga, A. W., Jack, C. R., et al. (2009) · Human Brain Mapping · doi:10.1002/hbm.20708 · Cited by 217
“, 2001] with a 9-parameter (9P) transformation (three translations, three rotations, three scales) using the Minctracc algorithm [Collins et al., 1994].”
MethodEffect of Satiation on Brain Activity in Obese and Lean Women
Gautier, J., Parigi, A. D., Chen, K., Salbe, A. D., Bandy, D. J., Pratley, R. E., Ravussin, É., Reiman, E. M., & Tataranni, P. A. (2001) · Obesity Research · doi:10.1038/oby.2001.92 · Cited by 207
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“Images were registered into a standardized stereotaxic space using a linear transformation (Collins et al., 1994).”
MethodSerial registration of intraoperative MR images of the brain
Ferrant, M. (2002) · Medical Image Analysis · doi:10.1016/s1361-8415(02)00060-9 · Cited by 207
“…et al., 1999; Thiran and several parts of the brain to be removed on the image, Butz, 2000), and normalized cross-correlation (e.g. Bajcsy creating black holes, and thus sudden discontinuities at and Kovacic, 1989; Collins et al., 1994; Rexilius et al., some locations in the image sequence.”
BackgroundMethodSelective attention to affective value alters how the brain processes taste stimuli
Fabian Grabenhorst, B., & Rolls, E. T. (2008) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2008.06033.x · Cited by 216
A survey of methods for 3D histology reconstruction
Pichat, J., Iglesias, J. E., Yousry, T., Ourselin, S., & Modat, M. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.02.004 · Cited by 207
Visual word recognition: the first half second
Pammer, K., Hansen, P., Kringelbach, M. L., Holliday, I., Barnes, G. R., Hillebrand, A., Singh, K. D., & Cornelissen, P. L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.004 · Cited by 205
“Group statistical maps were generated by first normalizing the SAM functional volumes to standard MNI space (Collins et al., 1994) and then combining these volumes across subjects for each time window and frequency band.”
MethodA dissociation between social mentalizing and general reasoning
Overwalle, F. V. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.043 · Cited by 208
“Studies were included only if they investigated unmedicated healthy children or adults, used PET and fMRI scanning, reported the coordinates of activations in the space of the MNI template (Collins et al., 1994) or the atlas of Talairach and Tournoux (1988).”
Morra, J. H., Tu, Z., Apostolova, L. G., Green, A. E., Avedissian, C., Madsen, S. K., Parikshak, N., Hua, X., Toga, A. W., Jack, C. R., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.07.003 · Cited by 202
“, 2001) with a 9-parameter (9P) transformation (3 translations, 3 rotations, 3 scales) using the Minctracc algorithm (Collins et al., 1994).”
Entorhinal cortex in temporal lobe epilepsy
Bernasconi, N., Bernasconi, A., Andermann, F., Dubeau, F., Feindel, W., & Reutens, D. C. (1999) · Neurology · doi:10.1212/wnl.52.9.1870 · Cited by 203
Sex differences in the growth of white matter during adolescence
Perrin, J. S., Leonard, G., Perron, M., Pike, G. B., Pitiot, A., Richer, L., Veillette, S., Pausova, Z., & Paus, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.023 · Cited by 197
“The template brain also contained information concerning anatomical boundaries, which were “projected” onto each subject's brain in native space using the corresponding deformation field, whichwas then fine-tuned by combining it with the tissue classification map (Collins et al., 1994, 1995, 1999).”
Bernhardt, B. C., Worsley, K. J., Besson, P., Concha, L., Lerch, J. P., Evans, A. C., & Bernasconi, N. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.04.261 · Cited by 204
“Images were then linearly registered into a standardized stereotaxic space based on the Talairachatlas (Collins et al.,1994; TalairachandTournoux,1988).”
MethodSelf-citationWild, B., Erb, M., Eyb, M., Bartels, M., & Grodd, W. (2003) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(03)00006-4 · Cited by 201
Neural evidence that vivid imagining can lead to false remembering
Gonsalves, B., Reber, P. J., Gitelman, D. R., Parrish, T. B., Mesulam, M.-M., & Paller, K. A. (2004) · Psychological Science · doi:10.1111/j.0956-7976.2004.00736.x · Cited by 200
“Data from each run were transformed ( Collins, Neelin, Peters, & Evans, 1994 ) to a standard coordinate system (Talairach & Tournoux, 1988) with a final resolution of 2.5 mm3, and the seven runs were concatenated into a”
MethodInfluentialThalamic metabolism and symptom onset in preclinical Huntington's disease
Feigin, A., Tang, C., Ma, Y., Mattis, P. J., Zgaljardic, D. J., Guttman, M., Paulsen, J. S., DHAWAN, V. M., & Eidelberg, D. (2007) · Brain · doi:10.1093/brain/awm217 · Cited by 198
“aMontreal Neurological Institute (MNI) standard space (Collins et al., 1994). bAccording to Atlas of Schmahmann (Schmahmann et al., 2000).”
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Computational anatomy: shape, growth, and atrophy comparison via diffeomorphisms
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“Most of the efforts define a preferred origin modeling deformations delasticallyT based on small deformation vector maps on the dense volumes; vector mappings restricted to the cortical manifold are being computed as well (Cachier et al., 2001; Christensen, 1999; Christensen et al., 1996a,b; Collins et al., 1994; Dava…”
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Charil, A., Zijdenbos, A. P., Taylor, J., Boelman, C. G., Worsley, K. J., Evans, A. C., & Dagher, A. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00117-4 · Cited by 197
Self-citationThe role of image registration in brain mapping
Toga, A. W., & Thompson, P. M. (2001) · Image and Vision Computing · doi:10.1016/s0262-8856(00)00055-x · Cited by 196
“Non-linear registration of 3D geometric atlases onto individual datasets has been used to support automated brain structure labeling for hippocampal morphometry [91], analysis of subcortical structure volumes in schizophrenia [92], estimation of structural variation in normal and diseased populations [38,39,93,94], an…”
MethodMRI volumetry of the thalamus in temporal, extratemporal, and idiopathic generalized epilepsy
Natsume, J., Bernasconi, N., Andermann, F., & Bernasconi, A. (2003) · Neurology · doi:10.1212/01.wnl.0000058764.34968.c2 · Cited by 197
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Champod, A. S., & Petrides, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0607101104 · Cited by 197
Small focal cortical dysplasia lesions are located at the bottom of a deep sulcus
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Sanabria-Díaz, G., Melie‐García, L., Iturria‐Medina, Y., Alemán‐Gómez, Y., Hernández-González, G., Valdés-Urrutia, L., Galán, L., & Valdes-Sosa, P. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.028 · Cited by 195
“In order to measure the cortical thickness, the native MR images were first registered into stereotaxic space (Talairach and Tournoux, 1988) using a 9-parameter linear transformation (Collins et al., 1994).”
MethodLow level of dopaminergic D2 receptor binding in obsessive-compulsive disorder
Denys, D., van der Wee, N., Janssen, J., De Geus, F., & Westenberg, H. G. M. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2004.01.023 · Cited by 195
Local Morphology Predicts Functional Organization of the Dorsal Premotor Region in the Human Brain
Amiez, C., Kostopoulos, P., Champod, A. S., & Petrides, M. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.4739-05.2006 · Cited by 191
“Subsequently, all images were transformed into standard proportional stereotaxic space (Talairach and Tournoux, 1988) using in-house dedicated software (Collins et al., 1994).”
MethodRose, S. (2006) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2005.074336 · Cited by 189
“The ICBM152 was generated from 152 T1-weighted brain volumes. A hierarchical fitting strategy with a minimum step size of 2 mm was used for this registration procedure.”
MethodFocal cortical atrophy in multiple sclerosis: Relation to lesion load and disability
Charil, A., Dagher, A., Lerch, J. P., Zijdenbos, A. P., Worsley, K. J., & Evans, A. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.10.006 · Cited by 194
“This procedure uses an automatic, multi-scale feature-matching algorithm (Collins et al., 1994) that performs a 9-parameter linear transformation to match each brain to a template brain.”
MethodSelf-citationCerebral activation during bicycle movements in man
Christensen, L. O. D., Johannsen, P., Sinkj�r, T., Petersen, N., Pyndt, H. S., & Nielsen, J. B. (2000) · Experimental Brain Research · doi:10.1007/s002210000493 · Cited by 196
Testosterone-Related Cortical Maturation Across Childhood and Adolescence
Nguyen, T., McCracken, J. T., Ducharme, S., Botteron, K. N., Mahabir, M., Johnson, W., Israël, M., Evans, A. C., Karama, S., & for the Brain Development Cooperative Group (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs125 · Cited by 200
“original) MR images to standardized MNI-Talairach space based on the ICBM152 data set (Talairach and Tournoux 1988; Collins et al. 1994; Mazziotta et al. 1995).”
MethodSelf-citationWu, O., Sorensen, A. G., Benner, T., Singhal, A. B., Furie, K. L., & Greer, D. M. (2009) · Radiology · doi:10.1148/radiol.2521081232 · Cited by 187
“The latter images were nonlinearly coregistered (19) to the ICBM-452 T1 5th Order Polynomial Warps Atlas (20).”
MethodDeformable Medical Image Registration: Setting the State of the Art with Discrete Methods
Glocker, B., Sotiras, A., Nikos Komodakis, A., & Nikos Paragios, A. (2011) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-071910-124649 · Cited by 189
“Going further, most of the functional studies involving fMRI have a prerequisite deformable registration (6) towards a common reference (often the Talairach space).”
BackgroundInfluentialBilateral globus pallidus stimulation for Huntington's disease
Moro, E., Lang, A. E., Strafella, A. P., Poon, Y. W., Arango, P., Dagher, A., Hutchison, W. D., & Lozano, A. M. (2004) · Annals of Neurology · doi:10.1002/ana.20183 · Cited by 192
“The CBF images were reconstructed with a 14mm Hanning filter, normalized for differences in global CBF, coregistered with the individual MRIs and transformed into stereotactic space(12) by means of an automated featurematching algorithm.(13) Data were analyzed to generate t statistic subtraction maps of significant ch…”
MethodCerebral white matter deficiencies in pedophilic men
Cantor, J. M., Kabani, N. J., Christensen, B. K., Zipursky, R. B., Barbaree, H. E., DICKEY, R. W., Klassen, P. E., Mikulis, D. J., Kuban, M. E., Blak, T., et al. (2007) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2007.10.013 · Cited by 190
“To correct for differences in head size and to enable the automation of the tissue classification process, images were normalized to MNI-Talairach space, using the Collins et al. (1994) methods and resampled to 1.0 mm isotropic voxels.”
MethodInfluentialSchmitt, J. E., Lenroot, R., Wallace, G. L., Ordaz, S. J., Taylor, K. N., Kabani, N. J., GREENSTEIN, D. K., Lerch, J. P., Kendler, K. S., Neale, M. C., et al. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm211 · Cited by 197
Spatial Localization after Excision of Human Auditory Cortex
Zatorre, R. J., & Penhune, V. B. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-16-06321.2001 · Cited by 192
“MR scans were linearly transformed into stereotaxic space (Talairach and Tournoux, 1988), using an automatized feature-matching algorithm (Collins et al., 1994) and viewed using an interactive threedimensional imaging software package that allowed simultaneous inspection in the coronal, horizontal,…”
MethodCERES: A new cerebellum lobule segmentation method
Romero, J. E., Coupé, P., Giraud, R., Ta, V., Fonov, V., Park, M. T. M., Chakravarty, M. M., Voineskos, A. N., & Manjón, J. V. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.003 · Cited by 200
Deco, G., Cabral, J., Woolrich, M. W., Stevner, A. B. A., van Hartevelt, T. J., & Kringelbach, M. L. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.023 · Cited by 193
“Briefly, the regions defined using the AAL template (Tzourio-Mazoyer et al., 2002) were warped from MNI space to the diffusion MRI native space using the FLIRT tool from the FSL toolbox (www.fmrib.ox.ac.uk/fsl, FMRIB, Oxford) (Collins et al., 1994).”
MethodMRI atlas of the human hypothalamus
Baroncini, M., Jissendi, P., Balland, É., Besson, P., Pruvo, J., Francke, J.-P., Dewailly, D., Blond, S., & Prévot, V. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.07.013 · Cited by 190
“Table 5 provides the average coordinates (n = 20 volunteers) of the identified hypothalamic areas, nuclei and white matter fascicles in anatomical MNI space.”
BackgroundMethodInfluentialImpaired sequence learning in carriers of the DYT1 dystonia mutation
Ghilardi, M., Carbon, M., Silvestri, G., et al. (2003) · Annals of Neurology · doi:10.1002/ana.10610 · Cited by 191
Hudziak, J. J., Albaugh, M. D., Ducharme, S., Karama, S., Spottswood, M., Crehan, E. T., Evans, A. C., & Botteron, K. N. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2014.06.015 · Cited by 199
Self-citationHaegelen, C., Perucca, P., Châtillon, C.-É., et al. (2013) · Epilepsia · doi:10.1111/epi.12075 · Cited by 190
“Third, a linear (nine parameter) transformation estimated with the mritotal tool from the MINC mni_autoreg software package (Collins et al., 1994) was applied to achieve intersubject spatial alignment to the Talairach-like ICBM152 stereotaxic space.”
MethodInfluentialSelf-citationMcDermott, C. L., Seidlitz, J., Nadig, A., Liu, S., CLASEN, L. S., Blumenthal, J. D., Reardon, P. K., Lalonde, F., GREENSTEIN, D. K., Patel, R., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.1808-18.2018 · Cited by 194
“Scans were first registered to the ICBM 152 template and corrected for radiofrequency intensity nonuniformities (Collins et al., 1994; Sled et al., 1998).”
BackgroundMethodInfluentialSled, J. G., & Pike, G. B. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.730409 · Cited by 190
Buss, C., Lord, C., Wadiwalla, M., Hellhammer, D. H., Lupien, S. J., Meaney, M. J., & Pruessner, J. C. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3252-06.2007 · Cited by 187
“This procedure includes the removal of all extracranial tissue and the cerebellum and has been validated before (Collins et al., 1994).”
MethodCombining structural and functional neuroimaging data for studying brain connectivity: A review
Rykhlevskaia, E. I., Gratton, G., & Fabiani, M. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00621.x · Cited by 188
Imaging speech production using fMRI
Gracco, V. L., Tremblay, P., & Pike, G. B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.033 · Cited by 187
“The functional images were low pass filtered (6-mm FWHM Gaussian kernel) and transformed into stereotaxic space (Collins et al., 1994).”
MethodEnhanced affective brain representations of chocolate in cravers vs. non‐cravers
Rolls, E. T., & McCabe, C. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05724.x · Cited by 188
“…of the data used SPM2 realignment, reslicing with sinc interpolation, normalization to the Montreal Neurological Institute coordinate system (Collins et al., 1994) used throughout this study, and spatial smoothing with a 8 mm full width at half maximum isotropic Gaussian kernel and global…”
MethodNeural correlates of painful genital touch in women with vulvar vestibulitis syndrome
Pukall, C. F., Strigo, I. A., Binik, Y. M., Amsel, R., Khalifé, S., & Bushnell, C. M. (2005) · Pain · doi:10.1016/j.pain.2005.02.020 · Cited by 195
“All images were resampled into stereotaxic space (Collins et al., 1994).”
MethodPatterns of cortical thickness and surface area in early Parkinson's disease
Jubault, T., Gagnon, J., Karama, S., Ptito, A., Lafontaine, A., Evans, A. C., & Monchi, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.12.043 · Cited by 189
“2) Linear registration of the native MRI into a Talairach like stereotaxic space based on the ICBM152 template (Collins et al., 1994; Mazziotta et al., 2001, 1995; Talairach et al., 1988).”
Self-citationLong-term effects of frequent cannabis use on working memory and attention: an fMRI study
Jager, G., Kahn, R. S., van den Brink, W., van Ree, J. M., & Ramsey, N. F. (2006) · Psychopharmacology · doi:10.1007/s00213-005-0298-7 · Cited by 186
“Next, these maps were smoothed (FWHM 8 mm) and normalised into standard CMNI space (Collins et al. 1994)”
MethodKarama, S., Ad-Dab’bagh, Y., Haier, R. J., Deary, I. J., Lyttelton, O., Lepage, C., & Evans, A. C. (2008) · Intelligence · doi:10.1016/j.intell.2008.09.006 · Cited by 184
Self-citationModeling the outcome of structural disconnection on resting-state functional connectivity
Cabral, J., Hugues, E., Kringelbach, M. L., & Deco, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.007 · Cited by 182
“, 2002) to co-register the b0 image in diffusion MRI space to the T1-weighted structural image and then to the T1 template of ICBM152 in MNI space (Collins et al., 1994).”
BackgroundNopoulos, P., Ceilley, J. W., Gailis, E. A., & Andreasen, N. C. (1999) · Biological Psychiatry · doi:10.1016/s0006-3223(99)00093-1 · Cited by 184
Pike, G. B., Stefano, N. D., Narayanan, S., Worsley, K. J., Pelletier, D., Francis, G., Antel, J. P., & Arnold, D. L. (2000) · Radiology · doi:10.1148/radiology.215.3.r00jn02824 · Cited by 181
Parietal and superior frontal visuospatial maps activated by pointing and saccades
Hagler, D. J., Riecke, L., & Sereno, M. I. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.033 · Cited by 189
“Because FreeSurfer uses the automated MNI Talairach transformation (Collins et al., 1994), we transformed these coordinates to standard Talairach space with Matthew Brett's method (http://imaging.mrc-cbu.cam.ac.uk/imaging/MniTalairach ).”
MethodWhat Disconnection Tells about Motor Imagery: Evidence from Paraplegic Patients
Alkadhi, H., Brugger, P., Boendermaker, S. H., Crelier, G. R., Curt, A. E. P., Hepp‐Reymond, M., & Kollias, S. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh116 · Cited by 181
“For the group analysis, all volumes were registered to the Montreal average volumetric data set aligned on the Talairach stereotactic coordinate system (Collins et al., 1994).”
MethodCho, S. S., Ko, J. H., Pellecchia, G., Van Eimeren, T., Cilia, R., & Strafella, A. P. (2010) · Brain Stimulation · doi:10.1016/j.brs.2009.10.002 · Cited by 179
“5 T, T1-weighted images, 1-mm slice thickness) of every subject’s brain was acquired and transformed into standardized stereotaxic space using the algorithm of Collins et al.(25) The coordinates selected for right DLPFC (x 5 40, y 5 32, and z 5 30) were similar to those used in our previous studies.”
InfluentialLeow, A. D., Yanovsky, I., Parikshak, N., Hua, X., Lee, S., Toga, A. W., Jack, C. R., Bernstein, M. A., Britson, P. J., Gunter, J. L., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.01.004 · Cited by 180
“…individuals, all scans were linearly registered to the stereotactic space defined by the International Consortium for Brain Mapping (ICBM-53) (Mazziotta et al., 2001) with a 9-parameter (9P) transformation (3 translations, 3 rotations, 3 scales) using the Minctracc algorithm (Collins et al., 1994).”
MethodAbnormal cerebral cortex structure in children with ADHD
Wolosin, S. M., Richardson, M. E., Hennessey, J. G., DENCKLA, M. B., & Mostofsky, S. H. (2007) · Human Brain Mapping · doi:10.1002/hbm.20496 · Cited by 182
“Initial processing included computation of the Talairach transformation matrix using tools developed at the Montreal Neurological Institute [Collins et al., 1994; Talairach and Tournoux, 1988] and intensity normalization to correct for variability in the signal due to magnetic field inhomogeneities and artifacts [Dale…”
MethodEvaluating intensity normalization on MRIs of human brain with multiple sclerosis
Shah, M., Xiao, Y., Subbanna, N. K., Francis, S., Arnold, D. L., Collins, D. L., & Arbel, T. (2010) · Medical Image Analysis · doi:10.1016/j.media.2010.12.003 · Cited by 179
“Therefore, prior to sampling the images the different image modalities are aligned to a common stereotaxic space so as to achieve this spatial correlation between brain volumes (Collins et al., 1994).”
BackgroundSelf-citationSpring, S., Lerch, J. P., & Henkelman, R. M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.023 · Cited by 182
“The resulting registered MRIs were resampled and averaged (Collins et al., 1994; Kovacevic et al., 2004).”
MethodWeighted Fourier Series Representation and Its Application to Quantifying the Amount of Gray Matter
Chung, M. K., Dalton, K. M., Shen, L., Evans, A. C., & Davidson, R. J. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.892519 · Cited by 179
“The MRIs were spatially normalized into the Montreal Neurological Institute (MNI) stereotaxic space using a global affine transform [11], which gives the 3-D alignment of brain.”
MethodSelf-citationChouinard, P. A., Leonard, G. T., & Paus, T. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4649-04.2005 · Cited by 180
“First, we transformed the subject’s MRI into standardized space (Talairach and Tournoux, 1988; Collins et al., 1994).”
MethodBernasconi, A., Antel, S. B., Collins, D. L., Bernasconi, N., Olivier, A., Dubeau, F., Pike, G. B., Andermann, F., & Arnold, D. L. (2001) · Annals of Neurology · doi:10.1002/ana.1013 · Cited by 183
“Images were automatically registered into stereotaxic space to adjust for differences in total brain volume and brain orientation.(11) Each image underwent automated correction for intensity non-uniformity and intensity standardization.”
MethodSelf-citationWildgruber, D. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh099 · Cited by 177
“Postprocessing of functional images including3-Dmotioncorrection, slice timecorrection, normalization into MNI (Montreal Neurological Institute) space (Collins et al., 1994), and spatial smoothing (10 mm FWHM) relied on SPM99 (Welcome Department of Cognitive Neurology, London, UK; http//: www.”
Aubert-Broche, B., Fonov, V., García-Lorenzo, D., Mouiha, A., Guizard, N., Pierrick Coupé, A., Eskildsen, S. F., & Collins, D. L. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.065 · Cited by 177
“Hierarchical nine-parameter linear registration based on intensity cross-correlation as a similarity measure is performed between each native T1-weighted (T1w) volume (Ni) and the ICBM152 template (P) (Collins et al., 1994).”
MethodSelf-citationEEG–fMRI of epileptic spikes: Concordance with EEG source localization and intracranial EEG
Bénar, C., Grova, C., Kobayashi, E., Bagshaw, A. P., Aghakhani, Y., Dubeau, F., & Gotman, J. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.008 · Cited by 179
Mihara, M., Miyai, I., Hattori, N., Hatakenaka, M., Yagura, H., Kawano, T., Okibayashi, M., Danjo, N., Ishikawa, A., Inoue, Y. H., et al. (2012) · PLoS ONE · doi:10.1371/journal.pone.0032234 · Cited by 186
“Anatomical normalization to the Montreal Neurological Institute (MNI) standard template [42] was performed using 12-parameter affine transformation.”
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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