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CreatorTitleDescriptionSubjectDate
101 Gerig, GuidoStatistical shape analysis of Multi-Object complexesAn important goal of statistical shape analysis is the discrimination between populations of objects, exploring group differences in morphology not explained by standard volumetric analysis. Certain applications additionally require analysis of objects in their embedding context by joint statistical...2007-01-01
102 Gerig, GuidoStructural integrity of the uncinate fasciculus in geriatric depression: relationship with age of onsetBackground: The uncinate fasciculus connects limbic structures, such as the hippocampus and amygdala, with frontal regions. This study utilized diffusion tensor imaging to examine the structural integrity of the uncinate fasciculus in late-life depression. Method: 18 elderly depressed and 19 elderly...2007-01-01
103 Gerig, GuidoStatistics of populations of images and its embedded objects: driving applications in neuroimagingWork in progress towards modeling shape statistics of multi-object complexes is presented. Constraints defined by the set of objects such as a compact representation of object shape relationships and correlation of shape changes might have advantages for automatic segmentation and group discriminati...2006-01-01
104 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
105 Gerig, GuidoStatistical shape analysis of brain structures using spherical waveletsWe present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests and a spherical wavelet (SWC) shape representation. As an application, we analyze two brain structures, the caudate nucleus and the hippocampus, and compare the results obtained to...2007-01-01
106 Gerig, GuidoSubcortical structure segmentation using probabilistic atlas priorsThe segmentation of the subcortical structures of the brain is required for many forms of quantitative neuroanatomic analysis. The volumetric and shape parameters of structures such as caudate are employed to characterize a disease or its evolution. This paper presents our fully automatic segmentati...2007-01-01
107 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
108 Gerig, GuidoModeling 4D changes in pathological anatomy using domain adaptation: analysis of TBI imaging using a tumor databaseAnalysis of 4D medical images presenting pathology (i.e., lesions) is significantly challenging due to the presence of complex changes over time. Image analysis methods for 4D images with lesions need to account for changes in brain structures due to deformation, as well as the formation and deletio...2013-01-01
109 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
110 Gerig, GuidoMixed-effects shape models for estimating longitudinal changes in anatomy2012-01-01
111 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
112 Gerig, GuidoNormative modeling of early brain maturation from longitudinal DTI reveals twin-singleton differencesEarly brain development of white matter is characterized by rapid organization and structuring. Magnetic Resonance diffusion tensor imaging (MR-DTI) provides the possibility of capturing these changes non-invasively by following individuals longitudinally in order to better understand departures fro...2014-01-01
113 Gerig, GuidoNoise-induced bias in low-direction diffusion tensor MRI: replication of Monte-Carlo simulation with in-vivo scansClinical neuroimaging studies involving diffusion tensor MRI (DTI) require precise estimation of diffusion properties for statistical analysis. Tensor derived measures such as fractional anisotropy (FA) and trace are often analyzed for hypothesis testing. Given the limited scanning time typically av...2007-01-01
114 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
115 Gerig, GuidoStatistical group differences in anatomical shape analysis using Hotelling T2 MetricShape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely locate morphological changes between healthy and pathological structures. This manuscript presents a comprehensive set of tools for the computation of 3D structural statistical shape anal...2007-01-01
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