Anthony Kolasny

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This article describes a large multi-institutional analysis of the shape and structure of the human hippocampus in the aging brain as measured via MRI. The study was conducted on a population of 101 subjects including nondemented control subjects (n = 57) and subjects clinically diagnosed with Alzheimer's Disease (AD, n = 38) or semantic dementia (n = 6)(More)
The CardioVascular Research Grid (CVRG) Project's goal is to facilitate research on heart disease through open-source informatics and data analysis tools, making it easier for researchers to manage, share, and analyze complex data collected in cardiovascular studies. Inefficient mechanisms for sharing and analyzing data hamper large studies and make it hard(More)
The schizophrenia research community has invested substantial resources on collecting, managing and sharing large neuroimaging datasets. As part of this effort, our group has collected high resolution magnetic resonance (MR) datasets from individuals with schizophrenia, their non-psychotic siblings, healthy controls and their siblings. This effort has(More)
Computational Anatomy (CA) is a discipline focused on the quantitative analysis of the variability in biological shape. The Large Deformation Diffeomorphic Metric Mapping (LDDMM) is the key algorithm which assigns computable descriptors of anatomical shapes and a metric distance between shapes. This is achieved by describing populations of anatomical shapes(More)
This paper describes an automated procedure for creating detailed patient-specific pediatric dosimetry phantoms from a small set of segmented organs in a child's CT scan. The algorithm involves full body mappings from adult template to pediatric images using multichannel large deformation diffeomorphic metric mapping (MC-LDDMM). The parallel implementation(More)
Dale AM (2002) Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33:341-355. A cell-centered database for electron tomographic data. The discipline of Computational Anatomy focuses on shape analysis of anatomical structures obtained in biomedical imaging. Under the auspices of the Brain Morphometry(More)
Figures-3: Magnetic Resonance Imaging (MRI) scans in Analyze format of an Alzheimer's patient shown in tiplanar view with the hippocampus surface displayed in byu format. Enhancing Paraview to support standard medical imaging Volume and Suface formats enable researchers to view and interact with regions of interest.
We investigate the 45-subject BIRN data set. This data set consists of 21 control subjects, 18 subjects diagnosed with Alzheimer's, and 6 with semantic dementia. The subjects were scanned using high resolution T1-weighted structural MRI at Washington University. The anonymized scans were analyzed at MGH's Martinos Center using Freesurfer [1]. The resulting(More)
The Computational Anatomy Gateway is a software as a service tool for medical imaging researchers to quantify changes in anatomical structures over time, and through the progression of disease. GPU acceleration on the Stampede cluster has enabled the development of new tools, combining advantages of grid based and particle based methods for describing fluid(More)