A System for Measuring Regional Surface Folding of the Neonatal Brain from MRI

This paper describes a novel approach to in-vivo measurement of brain surface folding in clinically acquired neonatal MR image data, which allows evaluation of surface curvature within subregions of the cortex. This paper addresses two aspects of this problem. Firstly: normalization of folding measures to provide area-independent evaluation of surface folding over arbitrary subregions of the cortex. Secondly: automated parcellation of the cortex at a particular developmental stage, based on an approximate spatial normalization of previously developed anatomical boundaries. The method was applied to seven premature infants (age 28-37 weeks) from which gray matter and gray-white matter interface surfaces were extracted. Experimental results show that previous folding measures are sensitive to the size of the surface of analysis, and that the area independent measures proposed here provide significant improvements. Such a system provides a tool to allow the study of structural development in the neonatal brain within specific functional subregions, which may be critical in identifying later neurological impairment.

[1]  David J. Hawkes,et al.  Measures of folding applied to the development of the human fetal brain , 2002, IEEE Transactions on Medical Imaging.

[2]  Michael Weiner,et al.  Accurate template-based correction of brain MRI intensity distortion with application to dementia and aging , 2004, IEEE Transactions on Medical Imaging.

[3]  Daniel J. Flannery,et al.  Outcomes in young adulthood for very-low-birth-weight infants. , 2002, The New England journal of medicine.

[4]  J. Martin,et al.  Births: preliminary data for 2007. , 2009 .

[5]  Lucas J. van Vliet,et al.  On curvature estimation of ISO surfaces in 3D gray-value images and the computation of shape descriptors , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Norbert Schuff,et al.  Deformation tensor morphometry of semantic dementia with quantitative validation , 2004, NeuroImage.

[7]  R. Cooke,et al.  Ophthalmic impairment at 7 years of age in children born very preterm , 2004, Archives of Disease in Childhood - Fetal and Neonatal Edition.

[8]  Colin Studholme,et al.  An ISO-surface folding analysis method applied to premature neonatal brain development , 2006, SPIE Medical Imaging.

[9]  T. Inder,et al.  Defining the nature of the cerebral abnormalities in the premature infant: a qualitative magnetic resonance imaging study. , 2003, Jornal de Pediatria.

[10]  C. Boesch,et al.  Structural and Neurobehavioral Delay in Postnatal Brain Development of Preterm Infants1 , 1996, Pediatric Research.

[11]  Colin Studholme,et al.  Using automated morphometry to detect associations between ERP latency and structural brain MRI in normal adults , 2005, Human brain mapping.

[12]  Andrea J. van Doorn,et al.  Surface shape and curvature scales , 1992, Image Vis. Comput..

[13]  D. V. van Essen,et al.  Structural and Functional Analyses of Human Cerebral Cortex Using a Surface-Based Atlas , 1997, The Journal of Neuroscience.

[14]  T. Cizadlo,et al.  Quantitative in vivo measurement of gyrification in the human brain: changes associated with aging. , 1999, Cerebral cortex.

[15]  Hong Wang,et al.  Abnormal Cerebral Structure Is Present at Term in Premature Infants , 2005, Pediatrics.

[16]  J. Volpe,et al.  Neurologic outcome of prematurity. , 1998, Archives of neurology.

[17]  A. Schleicher,et al.  The human pattern of gyrification in the cerebral cortex , 2004, Anatomy and Embryology.