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1 Rosen, Paul Andrew2D vector field simplification based on robustnessVector field simplification aims to reduce the complexity of the flow by removing features in order of their relevance and importance, to reveal prominent behavior and obtain a compact representation for interpretation. Most existing simplification techniques based on the topological skeleton succes...2014-01-01
2 Gerig, Guido3D of brain shape and volume after cranial vault remodeling surgery for craniosynostosis correction in infantsThe skull of young children is made up of bony plates that enable growth. Craniosynostosis is a birth defect that causes one or more sutures on an infant's skull to close prematurely. Corrective surgery focuses on cranial and orbital rim shaping to return the skull to a more normal shape. Functional...2013-01-01
3 Gerig, Guido3D tensor normalization for improved accuracy in DTI tensor registration methodsThis paper presents a method for normalization of diffusion tensor images (DTI) to a xed DTI template, a pre-processing step to improve the performance of full tensor based registration methods. The proposed method maps the individual tensors of the subject image in to the template space based on ma...2012-01-01
4 Gerig, Guido4D active cut: an interactive tool for pathological anatomy modeling4D pathological anatomy modeling is key to understanding complex pathological brain images. It is a challenging problem due to the difficulties in detecting multiple appearing and disappearing lesions across time points and estimating dynamic changes and deformations between them. We propose a novel...2014-01-01
5 Gerig, Guido4D modeling of infant brain growth in Down's Syndrome and controls from longitudinal MRIModeling of early brain growth trajectories from longitudinal MRI will provide new insight into neurodevelopmental characteristics, timing and type of changes in neurological disorders from controls. In addition to an ongoing large-scale infant autism neuroimaging study 1, we recruited 4 infants wit...2014-01-01
6 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
7 Gerig, GuidoA joint framework for 4D segmentation and estimation of smooth temporal appearance changesMedical imaging studies increasingly use longitudinal images of individual subjects in order to follow-up changes due to development, degeneration, disease progression or efficacy of therapeutic intervention. Repeated image data of individuals are highly correlated, and the strong causality of infor...2014-01-01
8 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
9 Gerig, GuidoA new framework for analyzing white matter maturation in early brain developmentThe trajectory of early brain development is marked by rapid growth presented by volume but also by tissue property changes. Capturing regional characteristics of axonal structuring and myelination via neuroimaging requires analysis of longitudinal image data with multiple modalities. Complementary ...2010-01-01
10 Wunderlich, Adam JamesA nonparametric procedure for comparing the areas under correlated LROC curvesIn contrast to the receiver operating characteristic (ROC) assessment paradigm, localization ROC (LROC) analysis provides a means to jointly assess the accuracy of localization and detection in an observer study. In a typical multireader, multicase (MRMC) evaluation, the data sets are paired so that...2012-01-01
11 Gerig, GuidoA preliminary study on the effect of motion correction on HARDI reconstructionPost-acquisition motion correction is widely performed in diffusion-weighted imaging (DWI) to guarantee voxel-wise correspondence between DWIs. Whereas this is primarily motivated to save as many scans as possible if corrupted by motion, users do not fully understand the consequences of different ty...2014-01-01
12 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
13 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
14 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
15 Maas, SteveAccuracy and feasibility of dual fluoroscopy and model-based tracking to quantify in vivo hip kinematics during clinical examsAccurate measurements of in-vivo hip kinematics may elucidate the mechanisms responsible for impaired function and chondrolabral damage in hips with femoroacetabular impingement (FAI). The objectives of this study were to quantify the accuracy and demonstrate the feasibility of using dual fluoroscop...2014-01-01
16 Sanderson, Allen ReedAn alternative formulation of lyapunov exponents for computing lagrangian coherent structuresLagrangian coherent structures are time-evolving surfaces that highlight areas in flow fields where neighboring advected particles diverge or converge. The detection and understanding of such structures is an important part of many applications such as in oceanography where there is a need to predic...2014-01-01
17 Planelles, VicenteAn HIV-encoded antisense long non-coding RNA epigenetically regulates viral transcriptionThe abundance of long non-coding RNAs (lncRNAs) and their wide range of functional roles in human cells are fast becoming realized. Importantly, lncRNAs have been identified as epigenetic modulators and consequently play a pivotal role in the regulation of gene expression. A human immunodeficiency v...2014-01-01
18 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
19 Gerig, GuidoAnalysis of longitudinal shape variability via subject specific growth modelingStatistical analysis of longitudinal imaging data is crucial for understanding normal anatomical development as well as disease progression. This fundamental task is challenging due to the difficulty in modeling longitudinal changes, such as growth, and comparing changes across different populations...2012-01-01
20 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
21 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
22 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
23 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
24 Gerig, GuidoBrain maturation of newborns and infantsRecently, imaging studies of early human development have received more attention, as improved modeling methods might lead to a clearer understanding of the origin, timing, and nature of differences in neurodevelopmental disorders. Non-invasivemagnetic resonance imaging (MRI) can provide three-dimen...2011-01-01
25 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
26 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
27 Gerig, GuidoChanges of MR and DTI appearance in early human brain developmentUnderstanding myelination in early brain development is of clinical importance, as many neurological disorders have their origin in early cerebral organization and maturation. The goal of this work is to study a large neonate database acquired with standard MR imagery to illuminate effects of early ...2010-01-01
28 Pascucci, ValerioCharacterization and modeling of PIDX parallel I/O for performance optimizationParallel I/O library performance can vary greatly in re- sponse to user-tunable parameter values such as aggregator count, file count, and aggregation strategy. Unfortunately, manual selection of these values is time consuming and dependent on characteristics of the target machine, the underlying fi...2013-01-01
29 Gerig, GuidoCharacterizing growth patterns in longitudinal MRI using image contrastUnderstanding the growth patterns of the early brain is crucial to the study of neuro-development. In the early stages of brain growth, a rapid sequence of biophysical and chemical processes take place. A crucial component of these processes, known as myelination, consists of the formation of a myel...2014-01-01
30 Gerig, GuidoClosed and open source neuroimage analysis tools and libraries at UNCThe emergence of open-source libraries and development tools in the last decade has changed the process of academic software development in many ways. In medical image processing and visualization this change is especially evident, also because open source projects are actively furthered by grant fu...2006-01-01
31 Gerig, GuidoComputational anatomy to assess longitudinal trajectory of brain growthThis paper addresses the challenging problem of statistics on images by describing average and variability. We describe computational anatomy tools for building 3-D and spatio-temporal 4-D atlases of volumetric image data. The method is based on the previously published concept of unbiased atlas bui...2006-01-01
32 Pascucci, ValerioConforming Morse-Smale complexesMorse-Smale (MS) complexes have been gaining popularity as a tool for feature-driven data analysis and visualization. However, the quality of their geometric embedding and the sole dependence on the input scalar field data can limit their applicability when expressing application-dependent features....2014-01-01
33 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
34 Gerig, GuidoCorrespondence evaluation in local shape analysis and structural subdivisionRegional volumetric and local shape analysis has become of increasing interest to the neuroimaging community due to the potential to locate morphological changes. In this paper we compare three common correspondence methods applied to two studies of hippocampal shape in schizophrenia: correspondence...2007-01-01
35 Gerig, GuidoCortical enhanced tissue segmentation of neonatal brain MR images acquired by a dedicated phased array coilThe acquisition of high quality MR images of neonatal brains is largely hampered by their characteristically small head size and low tissue contrast. As a result, subsequent image processing and analysis, especially for brain tissue segmentation, are often hindered. To overcome this problem, a dedic...2009-01-01
36 Meyer, Miriah DawnDesign 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
37 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
38 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
39 Anderson, Erik WesleyDiscovering and visualizing patterns in EEG dataBrain activity data is often collected through the use of electroen-cephalography (EEG). In this data acquisition modality, the electric fields generated by neurons are measured at the scalp. Although this technology is capable of measuring activity from a group of neurons, recent efforts provide ev...2013-01-01
40 Gerig, GuidoDiscrimination analysis using Multi-object statistics of shape and poseA main focus of statistical shape analysis is the description of variability of a population of geometric objects. In this paper, we present work towards modeling the shape and pose variability of sets of multiple objects. Principal geodesic analysis (PGA) is the extension of the standard technique ...2007-01-01
41 Gerig, GuidoDTI quality control assessment via error estimation from monte carlo simulationsDiffusion Tensor Imaging (DTI) is currently the state of the art method for characterizing the microscopic tissue structure of white matter in normal or diseased brain in vivo. DTI is estimated from a series of Diffusion Weighted Imaging (DWI) volumes. DWIs suffer from a number of artifacts which ma...2013-01-01
42 Gerig, GuidoDTIPrep: quality control of diffusion-weighted imagesIn the last decade, diffusion MRI (dMRI) studies of the human and animal brain have been used to investigate a multitude of pathologies and drug-related effects in neuroscience research. Study after study identifies white matter (WM) degeneration as a crucial biomaker for all these diseases. The too...2014-01-01
43 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
44 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
45 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
46 Gerig, GuidoEvaluation of DTI property maps as basis of DTI atlas buildingCompared to region of interest based DTI analysis, voxel-based analysis gives higher degree of localization and avoids the procedure of manual delineation with the resulting intra and inter-rater variability. One of the major challenges in voxel-wise DTI analysis is to get high quality voxel-level c...2010-01-01
47 Pascucci, ValerioExploring performance data with boxfishThe growth in size and complexity of scaling applications and the systems on which they run pose challenges in analyzing and improving their overall performance. With metrics coming from thousands or millions of processes, visualization techniques are necessary to make sense of the increasing amount...2012-01-01
48 Pascucci, ValerioExploring power behaviors and trade-offs of in-situ data analyticsAs scientific applications target exascale, challenges related to data and energy are becoming dominating concerns. For example, coupled simulation workflows are increasingly adopting in-situ data processing and analysis techniques to address costs and overheads due to data movement and I/O. However...2013-01-01
49 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
50 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
51 Gerig, GuidoGeodesic image regression with a sparse parameterization of diffeomorphismsImage regression allows for time-discrete imaging data to be modeled continuously, and is a crucial tool for conducting statistical analysis on longitudinal images. Geodesic models are particularly well suited for statistical analysis, as image evolution is fully characterized by a baseline image an...2013-01-01
52 Gerig, GuidoGeodesic regression of image and shape data for improved modeling of 4D trajectoriesA variety of regression schemes have been proposed on images or shapes, although available methods do not handle them jointly. In this paper, we present a framework for joint image and shape regression which incorporates images as well as anatomical shape information in a consistent manner. Evolutio...2014-01-01
53 Gerig, GuidoGeodesic shape regression in the framework of currentsShape regression is emerging as an important tool for the statistical analysis of time dependent shapes. In this paper, we develop a new generative model which describes shape change over time, by extending simple linear regression to the space of shapes represented as currents in the large deformat...2013-01-01
54 Gur, YanivGraph diffusion distance: a difference measure for weighted graphs based on the graph Laplacian exponential kernelWe propose a novel difference metric, called the graph diffusion distance (GDD), for quantifying the difference between two weighted graphs with the same number of vertices. Our approach is based on measuring the average similarity of heat diffusion on each graph. We compute the graph Laplacian expo...2013-01-01
55 Gerig, GuidoGroup mean differences of voxel and surface objects via nonlinear averagingBuilding of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable object segmentation and object classification. Recent developments in image averaging, i.e. constructing an image which is cen...2006-01-01
56 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
57 Macleod, Robert S.Identification and acute targeting of gaps in atrial ablation lesion sets using a real-time magnetic resonance imaging systemBackground-Radiofrequency ablation is routinely used to treat cardiac arrhythmias, but gaps remain in ablation lesion sets because there is no direct visualization of ablation-related changes. In this study, we acutely identify and target gaps using a real-time magnetic resonance imaging (RT-MRI) sy...2012-01-01
58 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
59 Seyedhosseini Tarzjani, Seyed MojtabaImage segmentation with cascaded hierarchical models and logistic disjunctive normal networksContextual information plays an important role in solving vision problems such as image segmentation. However, extracting contextual information and using it in an effective way remains a difficult problem. To address this challenge, we propose a multi-resolution contextual framework, called cascade...2013-01-01
60 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
61 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
62 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
63 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
64 Gerig, GuidoMixed-effects shape models for estimating longitudinal changes in anatomy2012-01-01
65 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
66 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
67 Gerig, GuidoMulti-atlas segmentation of subcortical brain structures via the AutoSeg software pipelineAutomated segmenting and labeling of individual brain anatomical regions, in MRI are challenging, due to the issue of individual structural variability. Although atlas-based segmentation has show its potential for both tissue and structure segmentation, due to the inherent natural variability as wel...2014-01-01
68 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
69 Awate, Suyash PrakashMultiatlas segmentation as nonparametric regressionThis paper proposes a novel theoretical framework to model and analyze the statistical characteristics of a wide range of segmentation methods that incorporate a database of label maps or atlases; such methods are termed as label fusion or multiatlas segmentation.We model these multiatlas segmentati...2014-01-01
70 Gerig, GuidoMultiscale medial shape-based analysis of image objectsMedial representation of a three-dimensional (3-D) object or an ensemble of 3-D objects involves capturing the object interior as a locus of medial atoms, each atom being two vectors of equal length joined at the tail at the medial point. Medial representation has a variety of beneficial properties,...2003-01-01
71 Gerig, GuidoMultivariate longitudinal statistics for neonatal-pediatric brain tissue developmentThe topic of studying the growth of human brain development has become of increasing interest in the neuroimaging community. Cross-sectional studies may allow comparisons between means of different age groups, but they do not provide a growth model that integrates the continuum of time, nor do they ...2008-01-01
72 Gerig, GuidoMultivariate Modeling of longitudinal MRI in early brain development with confidence measuresThe human brain undergoes rapid organization and structuring early in life. Longitudinal imaging enables the study of these changes over a developmental period within individuals through estimation of population growth trajectory and its variability. In this paper, we focus on maturation of white an...2013-01-01
73 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
74 Pascucci, ValerioThe natural Helmholtz-Hodge decomposition for open-boundary flow analysisThe Helmholtz-Hodge decomposition (HHD), which describes a flow as the sum of an incompressible, an irrotational, and a harmonic flow, is a fundamental tool for simulation and analysis. Unfortunately, for bounded domains, the HHD is not uniquely defined, traditionally, boundary conditions are impose...2014-01-01
75 Jaskowski, Troy D.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
76 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
77 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
78 Wunderlich, Adam JamesOn efficient assessment of image-quality metrics based on linear model observersThis paper is motivated by the problem of image-quality assessment using model observers for the purpose of development and optimization of medical imaging systems. Specifically, we present a study regarding the estimation of the receiver operating characteristic (ROC) curve for the observer and ass...2012-01-01
79 Gerig, GuidoParametric regression scheme for distributions: analysis of DTI fiber tract diffusion changes in early Brain DevelopmentTemporal modeling frameworks often operate on scalar variables by summarizing data at initial stages as statistical summaries of the underlying distributions. For instance, DTI analysis often employs summary statistics, like mean, for regions of interest and properties along fiber tracts for populat...2014-01-01
80 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
81 Kuhlman, BrianPHD EntrepreneurThe idea for this speech began when my friends and family started asking what I would do after graduating with my PhD in psychology. Folks tended to get a bit confused when I replied that my plan is to start a business. You don't need a PhD to do that! It's true. The path leading from PhD to Entrepr...entrepreneur; PhD; doctoral; industry; academia2013-05-03
82 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
83 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
84 Gerig, GuidoQuality control of diffusion weighted imagesDiffusion Tensor Imaging (DTI) has become an important MRI procedure to investigate the integrity of white matter in brain in vivo. DTI is estimated from a series of acquired Diffusion Weighted Imaging (DWI) volumes. DWI data suffers from inherent low SNR, overall long scanning time of multiple dire...2010-01-01
85 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
86 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
87 Gerig, GuidoRegional gray matter growth, sexual dimorphism, and cerebral asymmetry in the Neonatal BrainAlthough there has been recent interest in the study of childhood and adolescent brain development, very little is known about normal brain development in the first few months of life. In older children, there are regional differences in cortical gray matter development, whereas cortical gray and wh...2007-01-01
88 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
89 Gerig, GuidoSemi-automated application for kidney motion correction and filtration analysis in MR renographyAltered renal function commonly affects patients with cirrhosis, a consequence of chronic liver disease. From lowdose contrast material-enhanced magnetic resonance (MR) renography, we can estimate the Glomerular Filtration Rate (GFR), an important parameter to assess renal function. Two-dimensional ...2014-01-01
90 Macleod, Robert S.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
91 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
92 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
93 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
94 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
95 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
96 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
97 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
98 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
99 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
100 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
101 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
102 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
103 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
104 Gerig, GuidoTopology preserving atlas construction from shape data without correspondence using sparse parametersStatistical analysis of shapes, performed by constructing an atlas composed of an average model of shapes within a population and associated deformation maps, is a fundamental aspect of medical imaging studies. Usual methods for constructing a shape atlas require point correspondences across subject...2012-01-01
105 Gerig, GuidoToward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape dataThis paper proposes an original approach for the statistical analysis of longitudinal shape data. The proposed method allows the characterization of typical growth patterns and subject-specific shape changes in repeated time-series observations of several subjects. This can be seen as the extension ...2013-01-01
106 Gerig, GuidoTowards analysis of growth trajectory through multi-modal longitudinal MR imagingThe human brain undergoes significant changes in the first few years after birth, but knowledge about this critical period of development is quite limited. Previous neuroimaging studies have been mostly focused on morphometric measures such as volume and shape, although tissue property measures rela...2010-01-01
107 Gerig, GuidoTumor-induced structural radiometric asymmetry in brain imagesThis paper presents a general framework for analyzing structural and radiometric asymmetry in brain images. In a healthy brain, the left and right hemispheres are largely symmetric across the mid-sagittal plane. Brain tumors may belong to one or both of the following categories: mass-effect, in whic...2001-01-01
108 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
109 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
110 Gerig, GuidoUNC-Utah NA-MIC framework for DTI fiber tract analysisDiffusion tensor imaging has become an important modality in field of neuroimaging to capture changes in micro-organization and to assess white matter integrity or development While there exists a number of tractography toolsets, these usually lack tools for preprocessing or to analyze diffusion pro...2014-01-01
111 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
112 Dannhauer, MoritzVisualizing simulated electrical fields from electroencephalography and transcranial electric brain stimulation: a comparative evaluationElectrical activity of neuronal populations is a crucial aspect of brain activity. This activity is not measured directly but recorded as electrical potential changes using head surface electrodes (electroencephalogram - EEG). Head surface electrodes can also be deployed to inject electrical current...2014-01-01
113 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
114 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
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