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1 2D 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 3D 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 3D 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 4D 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 4D 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 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
7 A 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 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
9 A 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 A 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 A 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 A 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 A 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 Abnormal 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 Accuracy 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 An 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 An 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 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
19 Analysis 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 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
21 Assessment 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 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
23 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
24 Bayesian evaluation of groundwater age distribution using radioactive tracers and anthropogenic chemicalsThe development of a Bayesian modeling approach for estimation of the age distribution of groundwater using radioactive isotopes and anthropogenic chemicals is described. The model considers the uncertainties associated with the measured tracer concentrations as well as the parameters affecting the ...2012-01-01
25 Brain 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
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