21 Result(s)
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Article
White matter development and language abilities during infancy in autism spectrum disorder
White matter (WM) fiber tract differences are present in autism spectrum disorder (ASD) and could be important markers of behavior. One of the earliest phenotypic differences in ASD are language atypicalities....
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Article
Open AccessNeural circuitry at age 6 months associated with later repetitive behavior and sensory responsiveness in autism
Restricted and repetitive behaviors are defining features of autism spectrum disorder (ASD). Under revised diagnostic criteria for ASD, this behavioral domain now includes atypical responses to sensory stimuli...
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Chapter and Conference Paper
Determining Malignancy of Brain Tumors by Analysis of Vessel Shape
Vessels supplying malignant tumors are abnormally shaped. This paper describes a blinded study that assessed tumor malignancy by analyzing vessel shape within MR images of 21 brain tumors prior to surgical res...
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Chapter and Conference Paper
Multi-class Posterior Atlas Formation via Unbiased Kullback-Leibler Template Estimation
Many medical image analysis problems that involve multi-modal images lend themselves to solutions that involve class posterior density function images. This paper presents a method for large deformation exempl...
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Chapter and Conference Paper
Profile Scale-Spaces for Multiscale Image Match
We present a novel statistical image-match model for use in Bayesian segmentation, a multiscale extension of image profile models akin to those in Active Shape Models. A spherical-harmonic based 3D shape repre...
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Chapter and Conference Paper
Automatic Segmentation of Neonatal Brain MRI
This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying early growth patterns and morp...
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Chapter and Conference Paper
A Statistical Shape Model of Individual Fiber Tracts Extracted from Diffusion Tensor MRI
Diffusion Tensor MRI has become the preferred imaging modality to explore white matter structure and brain connectivity in vivo. Conventional region of interest analysis and voxel-based comparison does not make u...
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Chapter and Conference Paper
Caudate Shape Discrimination in Schizophrenia Using Template-Free Non-parametric Tests
This paper describes shape analysis of the caudate nucleus structure in a large schizophrenia study (30 controls, 60 schizophrenics). Although analysis of the caudate has not drawn the same attention as the hi...
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Chapter and Conference Paper
Vascular Attributes and Malignant Brain Tumors
Many diseases affect blood vessel morphology. This report analyzes vessel attributes (tortuosity, vessel density, radius, and terminal branch count) within 5 malignant gliomas as seen by high-resolution MR. Re...
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Chapter and Conference Paper
Analysis Tool for Diffusion Tensor MRI
Diffusion Tensor Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postproc...
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Chapter and Conference Paper
Age and Treatment Related Local Hippocampal Changes in Schizophrenia Explained by a Novel Shape Analysis Method
Volume reduction of the hippocampus observed with MRI is one of the most consistently described structural abnormalities in patients with schizophrenia. However, the timing, the association with treatment, and...
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Chapter and Conference Paper
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil inhomogeneity and biology, and tissue prop...
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Chapter and Conference Paper
Quantitative Analysis of White Matter Fiber Properties along Geodesic Paths
Diffusion Tensor Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postproc...
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Chapter and Conference Paper
Boundary and Medial Shape Analysis of the Hippocampus in Schizophrenia
Statistical shape analysis has become of increasing interest to the neuroimaging community due to its potential to precisely locate morphological changes and thus potentially discriminate between healthy and p...
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Chapter and Conference Paper
Robust Estimation for Brain Tumor Segmentation
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric properties. In this paper, we pro...
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Chapter and Conference Paper
Spatio-Temporal Segmentation of Active Multiple Sclerosis Lesions in Serial MRI Data
This paper presents a new approach for the automatic segmentation and characterization of active MS lesions in 4D data of multiple sequences. Traditional segmentation of 4D data applies individual 3D spatial s...
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Chapter and Conference Paper
Medial Models Incorporating Object Variability for 3D Shape Analysis
Knowledge about the biological variability of anatomical objects is essential for statistical shape analysis and discrimination between healthy and pathological structures. This paper describes a novel approac...
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Chapter and Conference Paper
Motion measurements in low-contrast X-ray imagery
Measuring motion in medical imagery becomes more and more important, in particular for object tracking, image registration, and local displacement measurements. Such measurements are especially difficult in me...
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Chapter and Conference Paper
Detecting and inferring brain activation from functional MRI by hypothesis-testing based on the likelihood ratio
For the measure of brain activation in functional MRI many methods compute a heuristically chosen metric. The statistic of the underlying metric which is implicitly derived from the original assumption about t...
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Chapter and Conference Paper
Exploring the discrimination power of the time domain for segmentation and characterization of lesions in serial MR data
This paper presents a new methodology for the automatic segmentation and characterization of object changes in time series of three-dimensional data sets. The purpose of the analysis is a detection and charact...
