Unbiased average age-appropriate atlases for pediatric studies
Open accessAbstract
Spatial normalization, registration, and segmentation techniques for Magnetic Resonance Imaging (MRI) often use a target or template volume to facilitate processing, take advantage of prior information, and define a common coordinate system for analysis. In the neuroimaging literature, the MNI305 Talairach-like coordinate system is often used as a standard template. However, when studying pediatric populations, variation from the adult brain makes the MNI305 suboptimal for processing brain images of children. Morphological changes occurring during development render the use of age-appropriate templates desirable to reduce potential errors and minimize bias during processing of pediatric data. This paper presents the methods used to create unbiased, age-appropriate MRI atlas templates for pediatric studies that represent the average anatomy for the age range of 4.5-18.5 years, while maintaining a high level of anatomical detail and contrast. The creation of anatomical T1-weighted, T2-weighted, and proton density-weighted templates for specific developmentally important age-ranges, used data derived from the largest epidemiological, representative (healthy and normal) sample of the U.S. population, where each subject was carefully screened for medical and psychiatric factors and characterized using established neuropsychological and behavioral assessments. Use of these age-specific templates was evaluated by computing average tissue maps for gray matter, white matter, and cerebrospinal fluid for each specific age range, and by conducting an exemplar voxel-wise deformation-based morphometry study using 66 young (4.5-6.9 years) participants to demonstrate the benefits of using the age-appropriate templates. The public availability of these atlases/templates will facilitate analysis of pediatric MRI data and enable comparison of results between studies in a common standardized space specific to pediatric research.
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The use of high-contrast, age-specific and study-specific template brain images for image registration is a well-validated approach to help overcome confounds from developmental changes.
“The use of high-contrast, age-specific and study-specific template brain images for image registration is a well-validated approach to help overcome some of these confounds (Avants et al., 2010; Fonov et al., 2011)”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Fonov et al., 2011
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Advances in functional and structural MR image analysis and implementation as FSL
Smith, S. M., Jenkinson, M., Woolrich, M. W., Beckmann, C. F., Behrens, T. E. J., Johansen-Berg, H., Bannister, P. R., De Luca, M., Drobnjak, I., Flitney, D. E., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.051 · Cited by 13,630 · see citing works
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
Avants, B., Epstein, C. L., Grossman, M., & Gee, J. C. (2007) · Medical Image Analysis · doi:10.1016/j.media.2007.06.004 · Cited by 5,618 · see citing works
Dynamic mapping of human cortical development during childhood through early adulthood
Gogtay, N., Giedd, J. N., Lusk, L., Hayashi, K. M., Greenstein, D., Vaituzis, A. C., Nugent, T. F., Herman, D. H., Clasen, L. S., Toga, A. W., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0402680101 · Cited by 5,604 · cited 2× · see citing works
“…al., 1996; Lange et al., 1997; Kennedy et al., 1998, 2003; Paus et al., 1999; Sowell et al., 1999, 2002, 2003, 2004a,b; Courchesne et al., 2000; Bartzokis et al., 2001; Blanton et al., 2001, 2004; De Bellis et al., 2001; Durston et al., 2001; Mazziotta et al., 2001a,b; Gogtay et al., 2002, 2004).”
Brain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552 · see citing works
Self-citationThresholding of statistical maps in functional neuroimaging using the false discovery rate
Genovese, C. R., Lazar, N. A., & Nichols, T. (2002) · NeuroImage · doi:10.1006/nimg.2001.1037 · Cited by 4,923 · see citing works
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731 · see citing works
Self-citationA Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561 · see citing works
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · see citing works
Self-citationA self‐report measure of pubertal status: Reliability, validity and initial norms
Petersen, A. C., Crockett, L., Richards, M., & Boxer, A. (1988) · Journal of Youth and Adolescence · doi:10.1007/bf01537962 · Cited by 3,129 · see citing works
Mazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. T., Lancaster, J. L., Zilles, K., Woods, R. P., Paus, T., Simpson, G. V., Pike, G. B., et al. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0915 · Cited by 2,334 · see citing works
Self-citationMapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328 · see citing works
Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration
Klein, A., Andersson, J., Ardekani, B. A., Ashburner, J., Avants, B., Chiang, M.-C., Christensen, G. E., Collins, D. L., Gee, J., Hellier, P., et al. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.12.037 · Cited by 2,227 · see citing works
Self-citationAutomated Image Registration: I. General Methods and Intrasubject, Intramodality Validation
Woods, R. P., Grafton, S. T., Holmes, C. J., Cherry, S. R., & Mazziotta, J. C. (1998) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199801000-00027 · Cited by 1,707 · see citing works
A Probabilistic Atlas of the Human Brain: Theory and Rationale for Its Development
Mazziotta, J. C., Toga, A. W., Evans, A., Fox, P. T., & Lancaster, J. L. (1995) · NeuroImage · doi:10.1006/nimg.1995.1012 · Cited by 1,578 · see citing works
Self-citationToga, A. W., & Thompson, P. M. (2003) · Nature reviews. Neuroscience · doi:10.1038/nrn1009 · Cited by 1,498 · see citing works
3D statistical neuroanatomical models from 305 MRI volumes
Evans, A. C., Collins, D. L., Mills, S., Brown, E. D., Kelly, R. L., & Peters, T. M. (2005) · IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) · doi:10.1109/nssmic.1993.373602 · Cited by 1,487 · see citing works
Self-citationLongitudinal Mapping of Cortical Thickness and Brain Growth in Normal Children
Sowell, E. R., Thompson, P. M., Leonard, C. M., Welcome, S. E., Kan, E., & Toga, A. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.1798-04.2004 · Cited by 1,481 · see citing works
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363 · see citing works
Structural maturation of neural pathways in children and adolescents: in vivo study
Paus, T., Zijdenbos, A., Worsley, K., Collins, D. L., Blumenthal, J., Giedd, J. N., Rapoport, J. L., & Evans, A. C. (1999) · Science · doi:10.1126/science.283.5409.1908 · Cited by 1,322 · see citing works
Self-citationConstruction of a 3D probabilistic atlas of human cortical structures
Shattuck, D. W., Mirza, M., Adisetiyo, V., Hojatkashani, C., Salamon, G., Narr, K. L., Poldrack, R. A., Bilder, R. M., & Toga, A. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.031 · Cited by 1,208 · see citing works
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151 · see citing works
Courchesne, E., Chisum, H. J., Townsend, J., Cowles, A., Covington, J., Egaas, B., Harwood, M., Hinds, S., & Press, G. A. (2000) · Radiology · doi:10.1148/radiology.216.3.r00au37672 · Cited by 1,049 · see citing works
Automatic 3‐D model‐based neuroanatomical segmentation
Collins, D. L., Holmes, C. J., Peters, T. M., & Evans, A. C. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030304 · Cited by 975 · see citing works
Self-citationMultimodal Image Coregistration and Partitioning—A Unified Framework
Ashburner, J., & Friston, K. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0290 · Cited by 932 · see citing works
Brain development, gender and IQ in children
Reiss, A. L., Abrams, M. T., Singer, H. S., ROSS, J. L., & DENCKLA, M. B. (1996) · Brain · doi:10.1093/brain/119.5.1763 · Cited by 867 · see citing works
Unbiased diffeomorphic atlas construction for computational anatomy
Joshi, S. C., Davis, B. C., Jomier, M., & Gerig, G. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.068 · Cited by 850 · see citing works
Interpolation revisited [medical images application]
Thévenaz, P., Blu, T., & Unser, M. A. (2000) · IEEE Transactions on Medical Imaging · doi:10.1109/42.875199 · Cited by 844 · see citing works
Sex Differences in Brain Maturation during Childhood and Adolescence
De Bellis, M. D. (2001) · Cerebral Cortex · doi:10.1093/cercor/11.6.552 · Cited by 728 · see citing works
Fast and robust parameter estimation for statistical partial volume models in brain MRI
Tohka, J., Zijdenbos, A. P., & Evans, A. C. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.05.007 · Cited by 670 · see citing works
Self-citationThe Young Adult Human Brain: An MRI-based Morphometric Analysis
Filipek, P. A., Richelme, C., Kennedy, D. N., & Caviness, V. S. (1994) · Cerebral Cortex · doi:10.1093/cercor/4.4.344 · Cited by 643 · see citing works
Mapping Changes in the Human Cortex throughout the Span of Life
Sowell, E. R., Thompson, P. M., & Toga, A. W. (2004) · The Neuroscientist · doi:10.1177/1073858404263960 · Cited by 572 · see citing works
Symmetric Atlasing and Model Based Segmentation: An Application to the Hippocampus in Older Adults
Grabner, G., Janke, A. L., Budge, M. M., Smith, D. B., Pruessner, J. C., & Collins, D. L. (2006) · Lecture notes in computer science · doi:10.1007/11866763_8 · Cited by 556 · see citing works
Self-citationSowell, E. R., Thompson, P. M., Holmes, C. J., Batth, R., Jernigan, T. L., & Toga, A. W. (1999) · NeuroImage · doi:10.1006/nimg.1999.0436 · Cited by 554 · see citing works
The NIH MRI study of normal brain development
Evans, A. C. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.09.068 · Cited by 523 · see citing works
Self-citationThe Human Brain Age 7–11 Years: A Volumetric Analysis Based on Magnetic Resonance Images
Caviness, V. S., Kennedy, D. N., Richelme, C., Rademacher, J., & Filipek, P. A. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.5.726 · Cited by 509 · see citing works
Landmark matching via large deformation diffeomorphisms
Joshi, S. C., & Miller, M. I. (2000) · IEEE Transactions on Image Processing · doi:10.1109/83.855431 · Cited by 500 · see citing works
A Log-Euclidean Framework for Statistics on Diffeomorphisms
Arsigny, V., Commowick, O., Pennec, X., & Ayache, N. (2006) · Lecture notes in computer science · doi:10.1007/11866565_113 · Cited by 461 · see citing works
Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life.
Blatter, D. D., Bigler, E. D., Gale, S. D., Johnson, S. C., Anderson, C. V., Burnett, B. M., Parker, N., Kurth, S. M., & Horn, S. D. (1995) · PubMed Central · Cited by 454 · see citing works
Active Surface Approach for Extraction of the Human Cerebral Cortex from MRI
Eskildsen, S. F., & Østergaard, L. R. (2006) · Lecture notes in computer science · doi:10.1007/11866763_101 · Cited by 450 · see citing works
MATURATION OF HUMAN CEREBRUM OBSERVED <i>IN VIVO</i> DURING ADOLESCENCE
JERNIGAN, T. L., TRAUNER, D. A., HESSELINK, J. R., & TALLAL, P. A. (1991) · Brain · doi:10.1093/brain/114.5.2037 · Cited by 444 · see citing works
Average Brain Models: A Convergence Study
Guimond, A., Meunier, J., & Thirion, J. (2000) · Computer Vision and Image Understanding · doi:10.1006/cviu.1999.0815 · Cited by 431 · see citing works
A Unified Statistical Approach to Deformation-Based Morphometry
Chung, M. K., Worsley, K. J., Paus, T., Cherif, C., Collins, D. L., Giedd, J. N., Rapoport, J. L., & Evans, A. C. (2001) · NeuroImage · doi:10.1006/nimg.2001.0862 · Cited by 414 · see citing works
Self-citationAnatomical MRI of the developing human brain: what have we learned?
DURSTON, S., HULSHOFF POL, H. E., CASEY, B. J., GIEDD, J. N., BUITELAAR, J. K., & VAN ENGELAND, H. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200109000-00009 · Cited by 410 · cited 1× · see citing works
“…al., 1996; Lange et al., 1997; Kennedy et al., 1998, 2003; Paus et al., 1999; Sowell et al., 1999, 2002, 2003, 2004a,b; Courchesne et al., 2000; Bartzokis et al., 2001; Blanton et al., 2001, 2004; De Bellis et al., 2001; Durston et al., 2001; Mazziotta et al., 2001a,b; Gogtay et al., 2002, 2004).”
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005
Duncan, J. S., & Gerig, G. (2005) · Lecture notes in computer science · doi:10.1007/11566489 · Cited by 403 · see citing works
Handbook of Medical Imaging. Processing and Analysis
Bankman, I. N., & Morcovescu, Ş. (2002) · Medical Physics · doi:10.1118/1.1429630 · Cited by 396 · see citing works
Image Interpolation and Resampling
Thévenaz, P., Blu, T., & Unser, M. A. (2000) · Elsevier eBooks · doi:10.1016/b978-012077790-7/50030-8 · Cited by 393 · see citing works
A Four-Dimensional Probabilistic Atlas of the Human Brain
Mazziotta, J. C., Toga, A. W., Evans, A. C., Fox, P. T., Lancaster, J. L., Zilles, K., Woods, R. P., Paus, T., Simpson, G., Pike, G. B., et al. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080401 · Cited by 375 · see citing works
Self-citationTemplate-O-Matic: A toolbox for creating customized pediatric templates
Wilke, M., Holland, S. K., Altaye, M., & Christian Gaser, B. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.056 · Cited by 362 · see citing works
3D brain mapping using a deformable neuroanatomy
Christensen, G. E., Rabbitt, R. D., & Miller, M. I. (1994) · Physics in Medicine and Biology · doi:10.1088/0031-9155/39/3/022 · Cited by 358 · see citing works
Structural Image Restoration through Deformable Templates
Amit, Y., Grenander, U., & Piccioni, M. (1991) · Journal of the American Statistical Association · doi:10.1080/01621459.1991.10475053 · Cited by 325 · see citing works
Gyri of the human neocortex: an MRI-based analysis of volume and variance
Kennedy, D. (1998) · Cerebral Cortex · doi:10.1093/cercor/8.4.372 · Cited by 323 · see citing works
A quantitative MRI study of the corpus callosum in children and adolescents
Giedd, J. N., Rumsey, J. M., Castellanos, F. X., Rajapakse, J. C., Kaysen, D. L., Vaituzis, A. C., Vauss, Y. C., Hamburger, S. D., & Rapoport, J. L. (1996) · Developmental Brain Research · doi:10.1016/0165-3806(95)00193-x · Cited by 316 · see citing works
(2016) · F1000Research Channels · doi:10.12688/f1000research.channels.118 · Cited by 309 · see citing works
Windows on the brain: the emerging role of atlases and databases in neuroscience
Essen, D. C. V. (2002) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(02)00361-6 · Cited by 262 · see citing works
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 · see citing works
Self-citationCharacterizing white matter with magnetization transfer andT2
Stanisz, G. J., Kecojević, A., Bronskill, M. J., & Henkelman, R. M. (1999) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(199912)42:6 · Cited by 249 · see citing works
Waber, D. P., de Moor, C., Forbes, P. W., Almli, C. R., Botteron, K. N., Leonard, G. T., Milovan, D. L., Paus, T., Rumsey, J. M., & THE BRAIN DEVELOPMENT COOPERATIVE GROUP (2007) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617707070841 · Cited by 244 · see citing works
Self-citationArdekani, B. A., Stephen Guckemus, A., Bachman, A. H., Hoptman, M. J., Michelle Wojtaszek, A., & Nierenberg, J. J. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.07.014 · Cited by 243 · see citing works
Statistical Parametric Mapping: Assessment of Application in Children
Muzik, O., Chugani, D. C., Juhász, C., Shen, C., & Chugani, H. T. (2000) · NeuroImage · doi:10.1006/nimg.2000.0651 · Cited by 240 · see citing works
Assessment of spatial normalization of whole‐brain magnetic resonance images in children
Wilke, M., Schmithorst, V. J., & Holland, S. K. (2002) · Human Brain Mapping · doi:10.1002/hbm.10053 · Cited by 225 · see citing works
Guimond, A., Roche, A., Ayache, N., & Meunier, J. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906425 · Cited by 223 · see citing works
Statistical methods in computational anatomy
Miller, M. I., Banerjee, A., Christensen, G. E., Joshi, S. C., Khaneja, N., Grenander, U., & Matejic, L. (1997) · Statistical Methods in Medical Research · doi:10.1177/096228029700600305 · Cited by 216 · see citing works
Sowell, E. R. (2002) · Cerebral Cortex · doi:10.1093/cercor/12.1.17 · Cited by 212 · see citing works
Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment
Carmichael, O. T., Aizenstein, H. J., Davis, S. W., Becker, J. T., Thompson, P. M., MELTZER, C. C., & Liu, Y. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.005 · Cited by 206 · see citing works
LATE CHILDHOOD CHANGES IN BRAIN MORPHOLOGY OBSERVABLE WITH MRI
Jernigan, T. L., & Tallal, P. (1990) · Developmental Medicine & Child Neurology · doi:10.1111/j.1469-8749.1990.tb16956.x · Cited by 202 · see citing works
Almli, C. R., Rivkin, M. J., & McKinstry, R. C. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.08.058 · Cited by 193 · see citing works
Self-citationRegional Spatial Normalization: Toward an Optimal Target
Kochunov, P. V., Lancaster, J. L., Thompson, P. M., Woods, R. P., Mazziotta, J. C., Hardies, J., & Fox, P. T. (2001) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200109000-00023 · Cited by 192 · see citing works
Mapping cortical asymmetry and complexity patterns in normal children
Blanton, R. E., Levitt, J. G., Thompson, P. M., Narr, K. L., Capetillo-Cunliffe, L., Nobel, A., Singerman, J. D., McCracken, J. T., & Toga, A. W. (2001) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(01)00091-9 · Cited by 186 · see citing works
Consistent groupwise non-rigid registration for atlas construction
Bhatia, K. K., Hajnal, J. V., Puri, B. K., Edwards, A. D., & Rueckert, D. (2005) · IEEE International Symposium on Biomedical Imaging (ISBI) · doi:10.1109/isbi.2004.1398686 · Cited by 183 · see citing works
A framework for computational anatomy
Thompson, P. M., & Toga, A. W. (2002) · Computing and Visualization in Science · doi:10.1007/s00791-002-0084-6 · Cited by 169 · see citing works
Statistical methods in computational anatomy
Miller, M. I., Banerjee, A., Christensen, G. E., Joshi, S. C., Khaneja, N., Grenander, U., & Matejic, L. (1997) · Statistical Methods in Medical Research · doi:10.1191/096228097673360480 · Cited by 165 · see citing works
Wilke, M., Schmithorst, V. J., & Holland, S. K. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10606 · Cited by 157 · see citing works
Fleming, J. S., & Allen, R. (2001) · Medical Engineering & Physics · doi:10.1016/s1350-4533(01)00087-x · Cited by 150 · see citing works
Optimum template selection for atlas-based segmentation
Wu, M., Rosano, C., López-García, P., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.07.050 · Cited by 137 · see citing works
Variability of human brain structure size: ages 4–20 years
Lange, N., Giedd, J. N., Xavier Castellanos, F., Vaituzis, A. C., & Rapoport, J. L. (1997) · Psychiatry Research: Neuroimaging · doi:10.1016/s0925-4927(96)03054-5 · Cited by 134 · see citing works
Toga, A. W., & Thompson, P. M. (2001) · The Anatomical Record · doi:10.1002/ar.1057 · Cited by 124 · see citing works
MRI-based brain volumetrics: emergence of a developmental brain science
Caviness, V. S., LANGE, N. D., Makris, N., Herbert, M. R., & Kennedy, D. N. (1999) · Brain and Development · doi:10.1016/s0387-7604(99)00022-4 · Cited by 112 · see citing works
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
Ayache, N., Sebastien Ourselin, A., & Maeder, A. (2007) · Lecture notes in computer science · doi:10.1007/978-3-540-75759-7 · Cited by 110 · see citing works
(2018) · CRC Press eBooks · doi:10.1201/9781351032742-11 · Cited by 104 · see citing works
Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging
Tohka, J., Krestyannikov, E., Dinov, I. D., et al. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.895453 · Cited by 101 · see citing works
Kazemi, K., Moghaddam, H. A., Grebe, R., Gondry‐Jouet, C., & Wallois, F. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.05.004 · Cited by 94 · see citing works
Gender differences in the left inferior frontal gyrus in normal children
Blanton, R. E., Levitt, J. G., Peterson, J. R., Fadale, D., Sporty, M. L., Lee, M., To, D., Mormino, E. C., Thompson, P. M., McCracken, J. T., et al. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.01.010 · Cited by 90 · see citing works
Least Biased Target Selection in Probabilistic Atlas Construction
Park, H., Bland, P. H., Hero, A. O., et al. (2005) · Lecture notes in computer science · doi:10.1007/11566489_52 · Cited by 84 · see citing works
Information Processing in Medical Imaging
Narayanan, R., Fessler, J. A., Park, H., & Meyer, C. R. (2005) · Lecture notes in computer science · doi:10.1007/b137723 · Cited by 84 · see citing works
Seghers, D., D’Agostino, E., Maes, F., Vandermeulen, D., & Suetens, P. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-30135-6_85 · Cited by 80 · see citing works
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2004
Barillot, C., Haynor, D. R., & Hellier, P. (2004) · Lecture notes in computer science · doi:10.1007/b100270 · Cited by 76 · see citing works
Unbiased Atlas Formation Via Large Deformations Metric Mapping
Lorenzen, P., Davis, B. C., & Joshi, S. C. (2005) · Lecture notes in computer science · doi:10.1007/11566489_51 · Cited by 72 · see citing works
Brain Development in Healthy, Hyperactive, and Psychotic Children
Gogtay, N., Giedd, J. N., & Rapoport, J. L. (2002) · Archives of Neurology · doi:10.1001/archneur.59.8.1244 · Cited by 59 · see citing works
Avants, B., Grossman, M., & Gee, J. C. (2006) · Lecture notes in computer science · doi:10.1007/11784012_7 · Cited by 48 · see citing works
Construction and Validation of Mean Shape Atlas Templates for Atlas-Based Brain Image Segmentation
Wang, Q., Seghers, D., D’Agostino, E., Maes, F., Vandermeulen, D., Suetens, P., & Hammers, A. (2005) · Lecture notes in computer science · doi:10.1007/11505730_57 · Cited by 47 · see citing works
Groupwise Combined Segmentation and Registration for Atlas Construction
Bhatia, K. K., Aljabar, P., Boardman, J. P., et al. (2007) · Springer eBooks · doi:10.1007/978-3-540-75757-3_65 · Cited by 47 · see citing works
Variability in spatial normalization of pediatric and adult brain images
Hoeksma, M. R., Kenemans, J. L., Kemner, C., et al. (2005) · Clinical Neurophysiology · doi:10.1016/j.clinph.2004.12.021 · Cited by 45 · see citing works
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Toga, A. W., & Thompson, P. M. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.02.018 · Cited by 35 · see citing works
Automatic computation of average brain models
Guimond, A., Meunier, J., & Thirion, J.-P. (1998) · Lecture notes in computer science · doi:10.1007/bfb0056249 · Cited by 33 · see citing works
Pluim, J. P. W., Likar, B., & Gerritsen, F. A. (2006) · Lecture notes in computer science · doi:10.1007/11784012 · Cited by 27 · see citing works
MRI‐based morphometric analysis of typical and atypical brain development
Kennedy, D. N., Haselgrove, C., & McInerney, S. C. (2003) · Mental Retardation and Developmental Disabilities Research Reviews · doi:10.1002/mrdd.10075 · Cited by 26 · see citing works
Linear normalization of MR brain images in pediatric patients with periventricular leukomalacia
Machilsen, B., D’Agostino, E., Maes, F., et al. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.12.037 · Cited by 19 · see citing works
Computational Anatomy to Assess Longitudinal Trajectory of Brain Growth
Gerig, G., Davis, B., Lorenzen, P., et al. (2006) · International Symposium on 3D Data Processing, Visualization and Transmission · doi:10.1109/3dpvt.2006.41 · Cited by 18 · see citing works
Interactive Digital MR Atlas of the Pediatric Brain
Jelačić, S., de Regt, D., & Weinberger, E. (2006) · Radiographics · doi:10.1148/rg.262055009 · Cited by 16 · see citing works
Age-Related Changes in Frontal and Temporal Lobe Volumes in Men: A Magnetic Resonance Imaging Study
Bartzokis, G., Beckson, M., Lu, P. H., Nuechterlein, K. H., Edwards, N., & Mintz, J. (2001) · Archives of General Psychiatry · doi:10.1001/archpsyc.58.5.461 · Cited by 14 · see citing works
High-Dimensional Multi-modal Image Registration
Lorenzen, P. J., & Joshi, S. C. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39701-4_25 · Cited by 11 · see citing works
A Digital Pediatric Brain Structure Atlas from T1-Weighted MR Images
Shan, Z., Parra, C., Ji, Q., Ogg, R. J., Zhang, Y. A., Laningham, F. H., & Reddick, W. E. (2006) · Lecture notes in computer science · doi:10.1007/11866763_41 · Cited by 9 · see citing works
Giedd (1996) · doi:10.1002/(sici)1096-9861(19960304)366:2
Flagged first, then by citations
Research works printed but not linked: 3
- Avants BB Epstein CL Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain Medical Image Analysis 2008 12 1 26 41 17659998 PMC2276735
- Guizzard N Fonov V Symmetric Optimization Scheme versus Constrained Symmetrization for Non-Linear Registrations MICCAI workshop on “Medical Image Analysis on Multiple Sclerosis (validation and methodological issues)” 2009
- Wilke M S VJ Holland SK Assessment of spatial normalization of whole-brain magnetic resonance images in children Human Brain Mapping 2002 17 1 48 60 12203688 PMC6871874
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Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304 · see citing works
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Patenaude, B., Smith, S. M., Kennedy, D. N., & Jenkinson, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.046 · Cited by 2,287 · see citing works
Wen, J., Thibeau-Sutre, E., Diaz-Melo, M., Samper-González, J., Routier, A., Bottani, S., Dormont, D., Durrleman, S., Burgos, N., & Colliot, O. (2020) · Medical Image Analysis · doi:10.1016/j.media.2020.101694 · Cited by 809 · see citing works
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Choi, E. Y., Yeo, B. T. T., & Buckner, R. L. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00270.2012 · Cited by 746 · see citing works
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Markello, R. D., Hansen, J. Y., Liu, Z.-Q., Bazinet, V., Shafiei, G., Suárez, L. E., Blostein, N., Seidlitz, J., Baillet, S., Satterthwaite, T. D., et al. (2022) · Nature Methods · doi:10.1038/s41592-022-01625-w · Cited by 479 · see citing works
Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411 · see citing works
“…a well-validated approach to help overcome some of these confounds (Avants et al., 2010; Fonov et al., 2011), and is increasingly adopted in both structural and functional studies of (especially early) development (Eggebrecht et al., 2017; Fonov et al., 2011; Gao et al., 2015a; Scott et al., 2015).”
BackgroundInfluentialDeoni, S. C. L., Dean, D. C., O'Muircheartaigh, J., Dirks, H., & Jerskey, B. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.037 · Cited by 390 · see citing works
Emerson, R. W., Adams, C., Nishino, T., Hazlett, H. C., Wolff, J. J., Zwaigenbaum, L., Constantino, J. N., Shen, M. D., Swanson, M. R., Elison, J. T., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aag2882 · Cited by 359 · see citing works
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Esteban, O., Ciric, R., Finc, K., Blair, R. W., Markiewicz, C. J., Moodie, C. A., Kent, J. D., Goncalves, M., DuPre, E., Gomez, D. E. P., et al. (2020) · Nature Protocols · doi:10.1038/s41596-020-0327-3 · Cited by 315 · see citing works
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Ghiassian, S., Greiner, R., Jin, P., & Brown, M. R. G. (2016) · PLOS ONE · doi:10.1371/journal.pone.0166934 · Cited by 116 · see citing works
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Gehricke, J.-G., Kruggel, F., Thampipop, T., Alejo, S. D., Tatos, E., Fallon, J., & Muftuler, L. T. (2017) · PLOS ONE · doi:10.1371/journal.pone.0175433 · Cited by 103 · see citing works
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Pruett, J. R., Kandala, S., Hoertel, S., Snyder, A. Z., Elison, J. T., Nishino, T., Feczko, E., Dosenbach, N. U. F., Nardos, B., Power, J. D., et al. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.01.003 · Cited by 57 · see citing works
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Li, T., Yao, Y., Cheng, Y., Xu, B., Cao, X., Waxman, D., Feng, W., Shen, Y., Li, Q., Wang, J., et al. (2016) · BMC Geriatrics · doi:10.1186/s12877-016-0194-5 · Cited by 59 · see citing works
Nitzsche, B., Frey, S., Collins, L. D., Seeger, J., Lobsien, D., Dreyer, A., Kirsten, H., Stoffel, M. H., Fonov, V. S., & Boltze, J. (2015) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2015.00069 · Cited by 61 · see citing works
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Janssen, T. W. P., Bink, M., Geladé, K., van Mourik, R., Maras, A., & Oosterlaan, J. (2016) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2015.0144 · Cited by 58 · see citing works
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Biesbroek, J. M., Coenen, M., DeCarli, C., Fletcher, E. M., Maillard, P. M., Initiative, A. D. N., Barkhof, F., Barnes, J., Benke, T., Chen, C. P. L. H., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13765 · Cited by 38 · see citing works
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Sievers, B., Welker, C., Hasson, U., Kleinbaum, A. M., & Wheatley, T. (2020) · doi:10.31234/osf.io/562z7 · Cited by 25 · see citing works
Bouget, D., Eijgelaar, R. S., Pedersen, A., Kommers, I., Ardon, H., Barkhof, F., Bello, L., Berger, M. S., Nibali, M. C., Furtner, J., et al. (2021) · Cancers · doi:10.3390/cancers13184674 · Cited by 19 · see citing works
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- Authors
- Fonov, V., Evans, A. C., Botteron, K., Almli, C. R., McKinstry, R. C., & Collins, D. L.
- Affiliations
- Montreal Neurological Institute and Hospital (CA)
- Washington University in St. Louis (US)
- St. Louis Children's Hospital (US)
- Corresponding author
- Fonov, Vladimir
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2011-01
- Volume
- 54
- Issue
- 1
- Pages
- 313-327
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2962759
- OpenAlex
- W2020745232
- Cited by
- 2,290
- References
- 104
- Citations by year
- 2026: 176 · 2025: 256 · 2024: 225 · 2023: 230 · 2022: 227 · 2021: 207 · 2020: 181 · 2019: 153 · 2018: 122 · 2017: 118 · 2016: 106 · 2015: 91 · 2014: 80 · 2013: 59 · 2012: 35
- FWCI
- 43.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- ResearchWorks at the University of Washington (University of Washington) (submittedVersion)
- eScholarship@McGill (McGill) (submittedVersion, cc-by-nc-nd)
- eScholarship@McGill (McGill) (submittedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (N01-HD02-3343, N01-MH9-0002, N01-NS-9-2314, -2315, 2316, -2317, -2319, -2320)
- 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
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Keywords
- MRI template, spatial normalization, brain development, deformation-based morphometry, gray matter, white matter, cerebrospinal fluid, pediatric neuroimaging
- MeSH terms
- Adolescent, Age Factors, Algorithms, Brain, Child, Child, Preschool, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Pediatrics, Reference Values, Observer Variation, Databases, Factual
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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