Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Amritha Nayak"'
Publikováno v:
Magnetic Resonance in Medicine
Purpose To propose a methodology for assessment of algorithms that correct distortions due to motion, eddy-currents, and echo planar imaging in diffusion weighted images (DWIs). Methods The proposed method evaluates correction performance by measurin
Autor:
M. Okan Irfanoglu, Carlo Pierpaoli, Neda Sadeghi, Liv S. Clasen, Nancy Raitano Lee, Elizabeth I. Adeyemi, Catherine J. Stoodley, Amritha Nayak
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-13 (2020)
Quantitative magnetic resonance imaging (MRI) investigations of brain anatomy in children and young adults with Down syndrome (DS) are limited, with no diffusion tensor imaging (DTI) studies covering that age range. We used DTI-driven tensor based mo
Autor:
Neda Sadeghi, Elizabeth B. Hutchinson, Amritha Nayak, Jeffrey Jenkins, M. Okan Irfanoglu, Cibu Thomas, Carlo Pierpaoli
Publikováno v:
NeuroImage. 132:439-454
In this work, we propose DR-TAMAS (Diffeomorphic Registration for Tensor Accurate alignMent of Anatomical Structures), a novel framework for intersubject registration of Diffusion Tensor Imaging (DTI) data sets. This framework is optimized for brain
Autor:
Pooja Modi, Carlo Pierpaoli, Cibu Thomas, Neda Sadeghi, M. Okan Irfanoglu, Maria Grazia D'Angelo, Maria Teresa Bassi, Elizabeth B. Hutchinson, Filippo Arrigoni, Amritha Nayak
Publikováno v:
Hum Brain Mapp
Tensor-based morphometry (TBM) performed using T1-weighted images (T1WIs) is a well-established method for analyzing local morphological changes occurring in the brain due to normal aging and disease. However, in white matter regions that appear homo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::206900b325b26bd3fa0570fea789220e
https://europepmc.org/articles/PMC6866509/
https://europepmc.org/articles/PMC6866509/
Autor:
Carlo Pierpaoli, M. Okan Irfanoglu, Lindsay Walker, Neda Sadeghi, Amritha Nayak, Paul S. Albert
Publikováno v:
NeuroImage. 109:480-492
Metrics derived from the diffusion tensor, such as fractional anisotropy (FA) and mean diffusivity (MD) have been used in many studies of postnatal brain development. A common finding of previous studies is that these tensor-derived measures vary wid
Autor:
Neda Sadeghi, Joelle E. Sarlls, Aaron Trefler, Amritha Nayak, Carlo Pierpaoli, Chris I. Baker, Cibu Thomas
Publikováno v:
NeuroImage. 173
Diurnal fluctuations in MRI measures of structural and functional properties of the brain have been reported recently. These fluctuations may have a physiological origin, since they have been detected using different MRI modalities, and cannot be exp
Publikováno v:
Human Brain Mapping. 34:2439-2454
Diffusion tensor imaging (DTI) is commonly used for studies of the human brain due to its inherent sensitivity to the microstructural architecture of white matter. In order to increase sampling diversity, it is often desirable to perform multicenter
Autor:
Carlo Pierpaoli, James T. McCracken, Lindsay Walker, Robert C. McKinstry, Lin-Ching Chang, Judith M. Rumsey, Michael J. Rivkin, M. Okan Irfanoglu, Kelly N. Botteron, Amritha Nayak, Dah Jyuu Wang
Publikováno v:
NeuroImage. 124
The NIH MRI Study of normal brain development sought to characterize typical brain development in a population of infants, toddlers, children and adolescents/young adults, covering the socio-economic and ethnic diversity of the population of the Unit
Autor:
M Okan, Irfanoglu, Pooja, Modi, Amritha, Nayak, Andrew, Knutsen, Joelle, Sarlls, Carlo, Pierpaoli
Publikováno v:
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. 17(Pt 1)
In this work we propose a novel method to correct echo planar imaging (EPI) distortions in diffusion MRI data acquired with reversed phase encoding directions ("blip-up blip-down" acquisitions). The transformation model is symmetric, diffeomorphic an
Autor:
Carlo Pierpaoli, M. Okan Irfanoglu, Elizabeth B. Hutchinson, Joelle E. Sarlls, Amritha Nayak, Pooja Modi
Publikováno v:
NeuroImage. 106
We propose an echo planar imaging (EPI) distortion correction method (DR-BUDDI), specialized for diffusion MRI, which uses data acquired twice with reversed phase encoding directions, often referred to as blip-up blip-down acquisitions. DR-BUDDI can