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51 Gerig, GuidoTeasing apart the heterogeneity of autism: Same behavior, different brains in toddlers with fragile X syndrome and autismTo examine brain volumes in substructures associated with the behavioral features of children with FXS compared to children with idiopathic autism and controls. A cross-sectional study of brain substructures was conducted at the first time-point as part of an ongoing longitudinal MRI study of brain ...2009-01-01
52 Gerig, GuidoMulti-object analysis of volume, pose, and shape using statistical discriminationOne goal of statistical shape analysis is the discrimination between two populations of objects. Whereas traditional shape analysis was mostly concerned with single objects, analysis of multi-object complexes presents new challenges related to alignment and pose. In this paper, we present a methodol...2010-01-01
53 Gerig, GuidoVoxel-wise group analysis of DTIDiffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps...2009-01-01
54 Gerig, GuidoSpatio-temporal analysis of early brain developmentAnalysis of human brain development is a crucial step for improved understanding of neurodevelopmental disorders. We focus on normal brain development as is observed in the multimodal longitudinal MRI/DTI data of neonates to two years of age. We present a spatio-temporal analysis framework using Gom...2010-01-01
55 Gerig, GuidoA structural MRI study of human brain development from birth to two yearsBrain development in the first 2 years after birth is extremely dynamic and likely plays an important role in neurodevelopmental disorders, including autism and schizophrenia. Knowledge regarding this period is currently quite limited. We studied structural brain development in healthy subjects from...2008-01-01
56 Gerig, GuidoMinimum description length with local geometryEstablishing optimal correspondence across object populations is essential to statistical shape analysis. Minimizing the description length (MDL) is a popular method for finding correspondence. In this work, we extend the MDL method by incorporating various local curvature metrics. Using local curva...2008-01-01
57 Gerig, GuidoQuantifying regional growth patterns through longitudinal analysis of distances between multimodal MR intensity distributionsQuantitative analysis of early brain development through imaging is critical for identifying pathological development, which may in turn affect treatment procedures. We propose a framework for analyzing spatiotemporal patterns of brain maturation by quantifying intensity changes in longitudinal MR i...2012-01-01
58 Gerig, GuidoSegmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimationTraumatic brain injury (TBI) due to falls, car accidents, and warfare affects millions of people annually. Determining personalized therapy and assessment of treatment efficacy can substantially benefit from longitudinal (4D) magnetic resonance imaging (MRI). In this paper, we propose a method for s...2012-01-01
59 Gerig, GuidoTwin-singleton differences in neonatal brain structureTwin studies suggest that global and regional brain volumes are highly heritable. However, estimates of heritability vary across development. Given that all twin studies are open to the potential criticism of non-generalizability due to differences in intrauterine environment between twins and singl...2011-01-01
60 Gerig, GuidoEfficient probabilistic and geometric anatomical mapping using particle mesh approximation on GPUsDeformable image registration in the presence of considerable contrast differences and large size and shape changes presents significant research challenges. First, it requires a robust registration framework that does not depend on intensity measurements and can handle large nonlinear shape variati...2011-01-01
61 Gerig, GuidoBrain volumes in psychotic youth with schizophrenia and mood disordersBackground: We sought to test the hypothesis that deficits in grey matter volume are characteristic of psychotic youth with early-onset schizophrenia-spectrum disorders (EOSS) but not of psychotic youth with early-onset mood disorders (EOMD). Methods: We used magnetic resonance imaging to examine br...2010-01-01
62 Gerig, GuidoSpatial intensity prior correction for tissue segmentation in the developing human brainThe degree of white matter (WM) myelination is rather inhomogeneous across the brain. As a consequence, white matter appears differently across the cortical lobes in MR images acquired during early postnatal development. At 1 year old specifically, the gray/white matter contrast of MR images in pref...2011-01-01
63 Gerig, GuidoAutomatic corpus callosum segmentation using a deformable active Fourier contour modelThe corpus callosum (CC) is a structure of interest in many neuroimaging studies of neuro-developmental pathology such as autism. It plays an integral role in relaying sensory, motor and cognitive information from homologous regions in both hemispheres. We have developed a framework that allows auto...2012-01-01
64 Gerig, GuidoSynergy of image analysis for animal and human neuroimaging supports translational research on drug abuseThe use of structural magnetic resonance imaging (sMRI) and diffusion tensor imaging (DTI) in animal models of neurophysiology is of increasing interest to the neuroscience community. In this work, we present our approach to create optimal translational studies that include both animal and human neu...2011-01-01
65 Gerig, GuidoMeasures for validation of DTI tractographyThe evaluation of analysis methods for diffusion tensor imaging (DTI) remains challenging due to the lack of gold standards and validation frameworks. Significant work remains in developing metrics for comparing fiber bundles generated from streamline tractography. We propose a set of volumetric and...2012-01-01
66 Gerig, GuidoLongitudinal growth modeling of discrete-time functions with application to DTI tract evolution in early neurodevelopmentWe present a new framework for spatiotemporal analysis of parameterized functions attributed by properties of 4D longitudinal image data. Our driving application is the measurement of temporal change in white matter diffusivity of fiber tracts. A smooth temporal modeling of change from a discrete-ti...2012-01-01
67 Gerig, GuidoA longitudinal structural MRI study of change in regional contrast in Autism Spectrum DisorderAuthors: Avantika Vardhan1, Joseph Piven2, Marcel Prastawa3, Guido Gerig3 Institutions: 1Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, United States, 2Dept of Psychiatry, UNC School of Medicine, Chapel Hill, NC, 3University of Utah, Salt Lake City, UT Introduction: ...2013-01-01
68 Gerig, GuidoAnalysis of diffusion tensor imaging for subjects with Down SyndromeAuthors: Neda Sadeghi1, Clement Vachet1, Marcel Prastawa1, Julie Korenberg1, Guido Gerig1 Institutions: 1University of Utah, Salt Lake City, UT Introduction: Down syndrome (DS) is the most common chromosome abnormality in humans. It is typically associated with delayed cognitive development and phys...2013-01-01
69 Gerig, GuidoBuilding spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimationLongitudinal analysis of anatomical changes is a vital component in many personalized-medicine applications for predicting disease onset, determining growth/atrophy patterns, evaluating disease progression, and monitoring recovery. Estimating anatomical changes in longitudinal studies, especially th...2012-01-01
70 Gerig, GuidoA framework for longitudinal data analysis via shape regressionTraditional longitudinal analysis begins by extracting desired clinical measurements, such as volume or head circumference, from discrete imaging data. Typically, the continuous evolution of a scalar measurement is estimated by choosing a 1D regression model, such as kernel regression or fitting a p...2012-01-01
71 Gerig, GuidoStatistical growth modeling of longitudinal DT-MRI for regional characterization of early brain developmentA population growth model that represents the growth trajectories of individual subjects is critical to study and understand neurodevelopment. This paper presents a framework for jointly estimating and modeling individual and population growth trajectories, and determining significant regional diffe...2012-01-01
72 Gerig, GuidoPatient-tailored connectomics visualization for the assessment of white matter atrophy in traumatic brain injuryAvailable approaches to the investigation of traumatic brain injury (TBI) are frequently hampered, to some extent, by the unsatisfactory abilities of existing methodologies to efficiently define and represent affected structural connectivity and functional mechanisms underlying TI-related pathology....2012-01-01
73 Gerig, GuidoAnalyzing imaging biomarkers for traumatic brain injury using 4D modeling of longitudinal MRIQuantitative imaging biomarkers are important for assessment of impact, recovery and treatment efficacy in patients with traumatic brain injury (TBI). To our knowledge, the identification of such biomarkers characterizing disease progress and recovery has been insufficiently explored in TBI due to d...2013-01-01
74 Gerig, GuidoSpatiotemporal modeling of distribution-valued data applied to DTI tract evolution in infant neurodevelopmentThis paper proposes a novel method that extends spatiotemporal growth modeling to distribution-valued data. The method relaxes assumptions on the underlying noise models by considering the data to be represented by the complete probability distributions rather than a representative, single-valued su...2013-01-01
75 Gerig, GuidoModeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrastLongitudinal MR imaging during early brain development provides important information about growth patterns and the development of neurological disorders. We propose a new framework for studying brain growth patterns within and across populations based on MRI contrast changes, measured at each time ...2013-01-01
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