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1 Sensitivity of epicardial electrical markers to acute ischemia detectionIntroduction: We hypothesize that electrocardiographic measurements from the intramyocardial space contain more sensitive markers of ischemia than those detectable on the epicardium. The goal of this study was to evaluate different electrical markers for their potential to detect the earliest phases...2014-01-01
2 Design activity framework for visualization designAn important aspect in visualization design is the connection between what a designer does and the decisions the designer makes. Existing design process models, however, do not explicitly link back to models for visualization design decisions. We bridge this gap by introducing the design activity fr...2014-01-01
3 Modeling 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
4 Spatiotemporal 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
5 Evaluating the use of strontium isotopes in tree rings to record the isotopic signal of dust deposited on the Wasatch MountainsDust cycling from the Great Basin to the Rocky Mountains is an important component of ecological and hydrological processes. We investigated the use of strontium (Sr) concentrations and isotope ratios (87Sr/86Sr) in tree rings as a proxy for dust deposition. We report Sr concentrations and isotope r...2014-01-01
6 Analyzing 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
7 Building 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
8 Longitudinal 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
9 A 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
10 Emerging evidence for platelets as immune and inflammatory effector cellsWhile traditionally recognized for their roles in hemostatic pathways, emerging evidence demonstrates that platelets have previously unrecognized, dynamic roles that span the immune continuum. These newly recognized platelet functions, including the secretion of immune mediators, interactions with e...2014-01-01
11 Patient-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
12 Measures 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
13 Statistical 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
14 Analysis 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
15 A 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
16 Efficient 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
17 Brain 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
18 Synergy 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
19 Quantifying 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
20 Neuronal uptake of anti-Hu antibody, but not anti-Ri antibody, leads to cell death in brain slice culturesBackground: Anti-Hu and anti-Ri antibodies are paraneoplastic immunoglobulin (Ig)G autoantibodies which recognize cytoplasmic and nuclear antigens present in all neurons. Although both antibodies produce similar immunohistological labeling, they recognize different neuronal proteins. Both antibodies...2014-01-01
21 Assessment 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
22 White 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
23 Reduced 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
24 Twin-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
25 Automatic 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
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