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1 Gerig, GuidoWhite matter microstructure and atypical visual orienting in 7 month-olds at risk for autismObjective: The authors sought to determine whether specific patterns of oculo-motor functioning and visual orientingcharacterize 7-month-old infants who later meet criteria for an autism spectrum disorder (ASD) and to identify the neural correlates of these behaviors. Method:Data were collected from...2013-01-01
2 Gerig, GuidoReduced relationship to cortical white matter volume revealed by Tractography-based segmentation of the corpus callosum in young children with developmental delayObjective: The corpus callosum is the primary anatomical substrate for inter-hemispheric communication, which is important for a range of adaptive and cognitive behaviors in early development. Previous studies that have measured the corpus callosum in developmental populations have been limited by t...2006-01-01
3 Gur, YanivAssessment of white matter microstructure in stroke patients using NODDIDiffusion weighted imaging (DWI) is widely used to study changes in white matter following stroke. In various studies employing diffusion tensor imaging (DTI) and high angular resolution diffusion imaging (HARDI) modalities, it has been shown that fractional anisotropy (FA), me...2014-01-01
4 Gur, YanivGeneralized hardi invariants by method of tensor contractionWe propose a 3D object recognition technique to construct rotation invariant feature vectors for high angular resolution diffusion imaging (HARDI). This method uses the spherical harmonics (SH) expansion and is based on generating rank-1 contravariant tensors using the SH coefficients, and contracti...2014-01-01
5 Seyedhosseini Tarzjani, Seyed MojtabaA workflow for the automatic segmentation of organelles in electron microscopy image stacksElectron microscopy(EM) facilitates analysis of the form,distribution, and functional status of key organelle systems in various pathological processes,including those associated with neurodegenerative disease.Such EM data often provide important new in sights into the underlying disease mechanisms....2014-01-01
6 Pascucci, ValerioMultivariate volume visualization through dynamic projectionsWe propose a multivariate volume visualization framework that tightly couples dynamic projections with a high-dimensional transfer function design for interactive volume visualization. We assume that the complex, high-dimensional data in the attribute space can be well-represented through a collecti...2014-01-01
7 Gerig, GuidoUnbiased diffeomorphic atlas construction for computational anatomyConstruction of population atlases is a key issue in medical image analysis, and particularly in brain mapping. Large sets of images are mapped into a common coordinate system to study intra-population variability and inter-population differences, to provide voxel-wise mapping of functional sites, a...2004-01-01
8 Gerig, GuidoImages in neuroscience: Fetal and Neonatal Brain DevelopmentIn the top row of longitudinal T1-weighted magnetic resonance images of the same child (and same scale), note the dramatic increase in total brain size as well as in white matter intensity over early development. In the bottom row of diffusion tensor images, white matter tractography of a neonate, o...2006-01-01
9 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
10 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
11 Gerig, GuidoPopulation-based fitting of medial shape models with correspondence optimizationA crucial problem in statistical shape analysis is establishing the correspondence of shape features across a population. While many solutions are easy to express using boundary representations, this has been a considerable challenge for medial representations. This paper uses a new 3-D medial model...2007-01-01
12 Gerig, GuidoAbnormal vessel tortuosity as a marker of treatment response of malignant gliomas: preliminary reportDespite multiple advances in medical imaging, noninvasive monitoring of therapeutic efficacy for malignant gliomas remains problematic. An underutilized observation is that malignancy induces characteristic abnormalities of vessel shape. These characteristic shape abnormalities affect both capillari...2004-01-01
13 Gerig, GuidoPrenatal mild ventriculomegaly predicts abnormal development of the neonatal brainBackground: Many psychiatric and neurodevelopmental disorders are associated with mild enlargement of the lateral ventricles thought to have origins in prenatal brain development. Little is known about development of the lateral ventricles and the relationship of prenatal lateral ventricle enlargeme...2008-01-01
14 Gerig, GuidoImage registration driven by combined probabilistic and geometric descriptorsDeformable image registration in the presence of considerable contrast dierences and large-scale size and shape changes represents a signicant challenge for image registration. A representative driving application is the study of early brain development in neuroimaging, which requires co-registratio...2010-01-01
15 Gerig, GuidoAssessment of reliability of multi-site neuroimaging via traveling phantom studyThis paper describes a framework for quantitative analysis of neuroimaging data of traveling human phantoms used for cross-site validation. We focus on the analysis of magnetic resonance image data including intra- and intersite comparison. Locations and magnitude of geometric deformation is studied...2008-01-01
16 Gerig, GuidoTemporal and spatial development of axonal maturation and myelination of white matter in the developing brainBACKGROUND AND PURPOSE-Diffusion tensor imaging (DTI) has been widely used to investigate the development of white matter (WM). However, information about this development in healthy children younger than 2 years of age is lacking, and most previous studies have only measured fractional anisotropy (...2009-01-01
17 Gerig, GuidoFunctional connectivity MR imaging reveals cortical functional connectivity in the developing brainBACKGROUND AND PURPOSE: Unlike conventional functional MR imaging where external sensory/cognitive paradigms are needed to specifically activate different regions of the brain, resting functional connectivity MR imaging acquires images in the absence of cognitive demands (a resting condition) and de...2008-01-01
18 Gerig, GuidoGroup statistics of DTI fiber bundles using spatial functions of tensor measuresWe present a framework for hypothesis testing of differences between groups of DTI ber tracts. An anatomical, tract-oriented coordinate system provides a basis for estimating the distribution of diffusion properties. The parametrization of sampled, smooth functions is normalized across a population ...2008-01-01
19 Gerig, GuidoConstrained data decomposition and regression for analyzing healthy aging from fiber tract diffusion propertiesIt has been shown that brain structures in normal aging undergo significant changes attributed to neurodevelopmental and neurodegeneration processes as a lifelong, dynamic process. Modeling changes in healthy aging will be necessary to explain differences to neurodegenerative patterns observed in m...2009-01-01
20 Gerig, GuidoDiffusion tensor imaging: application to the study of the developing brainObjective: To provide an overview of diffusion tensor imaging (DTI) and its application to the study of white matter in the developing brain, in both healthy and clinical samples. Method: The development of DTI and its application to brain imaging of white matter tracts is discussed. 48 studies usi...2007-01-01
21 Gerig, GuidoDiscordance of prenatal and neonatal brain development in twinsBackground: Discordance of birth weight has been observed in twin pairs, though little is known about prenatal and early neonatal discordance of head and brain size, and the role that zygosity and chorionicity play in discordances of early brain development in twins. Aims: To compare prenatal and ne...2009-01-01
22 Gerig, GuidoEarly postnatal development of corpus callosum and corticospinal white matter assessed with quantitative tractographyBACKGROUND AND PURPOSE: The early postnatal period is perhaps the most dynamic phase of white matter development. We hypothesized that the early postnatal development of the corpus callosum and corticospinal tracts could be studied in unsedated healthy neonates by using novel approaches to diffusion...2007-01-01
23 Taylor, MarkUnderstanding the community based participatory research (CBPR) approach: case study in GhanaIn 2003, the University of Utah, in cooperation with Kwame Nkrumah University of Science and Technology (KNUST), Komfo Anokye Teaching Hospital (KATH), the Atwima Nwabiagya District Assembly and Barekuma community leaders, formed what is known as the Barekuma Collaborative Community Development Proj...2011-12-01
24 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
25 Gerig, GuidoEstimation of smooth growth trajectories with controlled acceleration from time series shape dataLongitudinal shape analysis often relies on the estimation of a realistic continuous growth scenario from data sparsely distributed in time. In this paper, we propose a new type of growth model para-meterized by acceleration, whereas standard methods typically control the velocity. This mimics the b...2011-01-01
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