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51 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
52 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
53 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
54 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
55 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
56 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
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, 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
59 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
60 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
61 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
62 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
63 Gerig, GuidoMixed-effects shape models for estimating longitudinal changes in anatomy2012-01-01
64 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
65 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
66 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
67 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
68 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
69 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
70 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
71 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
72 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
73 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
74 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
75 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
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