Investigation of the spatial correlation in human white matter and the influence of age using 3-dimensional variography applied to MP-RAGE data
A novel method for the quantification of heterogeneity and spatial correlation in 3D MP-RAGE images of white matter is presented. The technique is based on the variogram, a tool commonly used in geosciences for the analysis of spatial data, and was tailored to the special requirements of MR image an...
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Published in | NeuroImage (Orlando, Fla.) Vol. 63; no. 3; pp. 1374 - 1383 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
15.11.2012
Elsevier Limited |
Subjects | |
Online Access | Get full text |
ISSN | 1053-8119 1095-9572 1095-9572 |
DOI | 10.1016/j.neuroimage.2012.07.034 |
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Abstract | A novel method for the quantification of heterogeneity and spatial correlation in 3D MP-RAGE images of white matter is presented. The technique is based on the variogram, a tool commonly used in geosciences for the analysis of spatial data, and was tailored to the special requirements of MR image analysis. Influences from intensity non-uniformities, noise and arbitrary greyscale were quantified and considered in the calculations. The obtained variograms were fitted with spherical model functions to infer parameters that quantify heterogeneity and size of the correlation structures of the tissue. Numerically generated samples with well-defined correlation properties were employed to validate the estimation process and to provide an interpretation of the parameters obtained. It is shown that the method gives reliable results in an interval of correlation structures sized between 2mm and 20mm. The method was applied to 24 MP-RAGE datasets of healthy female volunteers ranging in age from 19 to 73years. White matter was found to have two prominent correlation structures with sizes of approximately 3mm and 23mm. The heterogeneity of the smaller structure increases significantly with age (r=0.83, p<10−6).
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► Variograms are employed to investigate spatial correlation in MR images. ► Numerical samples provide interpretation of variogram shapes. ► White matter obtained from MP-RAGE data of 24 healthy subjects is analysed. ► White matter is found to have 2 correlation structures, 3mm and 23mm in size. ► Inhomogeneity of the 3mm structure is significantly correlated with age. |
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AbstractList | A novel method for the quantification of heterogeneity and spatial correlation in 3D MP-RAGE images of white matter is presented. The technique is based on the variogram, a tool commonly used in geosciences for the analysis of spatial data, and was tailored to the special requirements of MR image analysis. Influences from intensity non-uniformities, noise and arbitrary greyscale were quantified and considered in the calculations. The obtained variograms were fitted with spherical model functions to infer parameters that quantify heterogeneity and size of the correlation structures of the tissue. Numerically generated samples with well-defined correlation properties were employed to validate the estimation process and to provide an interpretation of the parameters obtained. It is shown that the method gives reliable results in an interval of correlation structures sized between 2 mm and 20 mm. The method was applied to 24 MP-RAGE datasets of healthy female volunteers ranging in age from 19 to 73 years. White matter was found to have two prominent correlation structures with sizes of approximately 3 mm and 23 mm. The heterogeneity of the smaller structure increases significantly with age (r = 0.83, p < 10a 6). A novel method for the quantification of heterogeneity and spatial correlation in 3D MP-RAGE images of white matter is presented. The technique is based on the variogram, a tool commonly used in geosciences for the analysis of spatial data, and was tailored to the special requirements of MR image analysis. Influences from intensity non-uniformities, noise and arbitrary greyscale were quantified and considered in the calculations. The obtained variograms were fitted with spherical model functions to infer parameters that quantify heterogeneity and size of the correlation structures of the tissue. Numerically generated samples with well-defined correlation properties were employed to validate the estimation process and to provide an interpretation of the parameters obtained. It is shown that the method gives reliable results in an interval of correlation structures sized between 2mm and 20mm. The method was applied to 24 MP-RAGE datasets of healthy female volunteers ranging in age from 19 to 73 years. White matter was found to have two prominent correlation structures with sizes of approximately 3mm and 23 mm. The heterogeneity of the smaller structure increases significantly with age (r=0.83, p<10(-6)).A novel method for the quantification of heterogeneity and spatial correlation in 3D MP-RAGE images of white matter is presented. The technique is based on the variogram, a tool commonly used in geosciences for the analysis of spatial data, and was tailored to the special requirements of MR image analysis. Influences from intensity non-uniformities, noise and arbitrary greyscale were quantified and considered in the calculations. The obtained variograms were fitted with spherical model functions to infer parameters that quantify heterogeneity and size of the correlation structures of the tissue. Numerically generated samples with well-defined correlation properties were employed to validate the estimation process and to provide an interpretation of the parameters obtained. It is shown that the method gives reliable results in an interval of correlation structures sized between 2mm and 20mm. The method was applied to 24 MP-RAGE datasets of healthy female volunteers ranging in age from 19 to 73 years. White matter was found to have two prominent correlation structures with sizes of approximately 3mm and 23 mm. The heterogeneity of the smaller structure increases significantly with age (r=0.83, p<10(-6)). A novel method for the quantification of heterogeneity and spatial correlation in 3D MP-RAGE images of white matter is presented. The technique is based on the variogram, a tool commonly used in geosciences for the analysis of spatial data, and was tailored to the special requirements of MR image analysis. Influences from intensity non-uniformities, noise and arbitrary greyscale were quantified and considered in the calculations. The obtained variograms were fitted with spherical model functions to infer parameters that quantify heterogeneity and size of the correlation structures of the tissue. Numerically generated samples with well-defined correlation properties were employed to validate the estimation process and to provide an interpretation of the parameters obtained. It is shown that the method gives reliable results in an interval of correlation structures sized between 2mm and 20mm. The method was applied to 24 MP-RAGE datasets of healthy female volunteers ranging in age from 19 to 73 years. White matter was found to have two prominent correlation structures with sizes of approximately 3mm and 23 mm. The heterogeneity of the smaller structure increases significantly with age (r=0.83, p<10(-6)). A novel method for the quantification of heterogeneity and spatial correlation in 3D MP-RAGE images of white matter is presented. The technique is based on the variogram, a tool commonly used in geosciences for the analysis of spatial data, and was tailored to the special requirements of MR image analysis. Influences from intensity non-uniformities, noise and arbitrary greyscale were quantified and considered in the calculations. The obtained variograms were fitted with spherical model functions to infer parameters that quantify heterogeneity and size of the correlation structures of the tissue. Numerically generated samples with well-defined correlation properties were employed to validate the estimation process and to provide an interpretation of the parameters obtained. It is shown that the method gives reliable results in an interval of correlation structures sized between 2mm and 20mm. The method was applied to 24 MP-RAGE datasets of healthy female volunteers ranging in age from 19 to 73years. White matter was found to have two prominent correlation structures with sizes of approximately 3mm and 23mm. The heterogeneity of the smaller structure increases significantly with age (r=0.83,p<10-6). A novel method for the quantification of heterogeneity and spatial correlation in 3D MP-RAGE images of white matter is presented. The technique is based on the variogram, a tool commonly used in geosciences for the analysis of spatial data, and was tailored to the special requirements of MR image analysis. Influences from intensity non-uniformities, noise and arbitrary greyscale were quantified and considered in the calculations. The obtained variograms were fitted with spherical model functions to infer parameters that quantify heterogeneity and size of the correlation structures of the tissue. Numerically generated samples with well-defined correlation properties were employed to validate the estimation process and to provide an interpretation of the parameters obtained. It is shown that the method gives reliable results in an interval of correlation structures sized between 2mm and 20mm. The method was applied to 24 MP-RAGE datasets of healthy female volunteers ranging in age from 19 to 73years. White matter was found to have two prominent correlation structures with sizes of approximately 3mm and 23mm. The heterogeneity of the smaller structure increases significantly with age (r=0.83, p<10−6). [Display omitted] ► Variograms are employed to investigate spatial correlation in MR images. ► Numerical samples provide interpretation of variogram shapes. ► White matter obtained from MP-RAGE data of 24 healthy subjects is analysed. ► White matter is found to have 2 correlation structures, 3mm and 23mm in size. ► Inhomogeneity of the 3mm structure is significantly correlated with age. |
Author | Oros-Peusquens, Ana-Maria Shah, N. Jon Keil, Fabian |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22836175$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_neuroimage_2014_11_017 crossref_primary_10_1088_1361_6560_ada19c crossref_primary_10_1016_j_neuroimage_2022_119014 crossref_primary_10_1186_1471_2342_14_1 crossref_primary_10_1371_journal_pone_0122188 crossref_primary_10_1016_j_acra_2013_07_001 |
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Keywords | White matter changes Variogram MP-RAGE Spatial correlation Ageing |
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SubjectTerms | Acquisitions & mergers Adolescent Adult Age Aged Ageing Aging Brain - anatomy & histology Brain Mapping - methods Female Humans Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Methods Middle Aged MP-RAGE Nerve Fibers, Myelinated Noise Spatial correlation Studies Variogram White matter changes Young Adult |
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Title | Investigation of the spatial correlation in human white matter and the influence of age using 3-dimensional variography applied to MP-RAGE data |
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