A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Fast Eigenvector Centrality Mapping of Voxel-Wise Connectivity in Functional Magnetic Resonance Imaging: Implementation, Validation, and Interpretation
2012
Brain Connectivity
Preserved Fulltext
The main obstacle for widespread use of ECM in functional magnetic resonance imaging (fMRI) is the cost of computing and storing the connectivity matrix. ...
Eigenvector centrality mapping (ECM) has recently emerged as a measure to spatially characterize connectivity in functional brain imaging by attributing network properties to voxels. ...
Acknowledgments This research was funded by the Neuroscience Campus Amsterdam and the Department of Radiology, VU University Medical Center. FAST EIGENVECTOR CENTRALITY MAPPING (FECM) ...
doi:10.1089/brain.2012.0087
pmid:23016836
fatcat:4u3wfakogjgx7orlu4trafvj54
Eigenmaps of dynamic functional connectivity: Voxel-level dominant patterns through eigenvector centrality
2016
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Dynamic functional connectivity (dFC) based on resting-state functional magnetic resonance imaging (fMRI) explores the ongoing temporal configuration of brain networks. ...
To overcome the limitations due to the huge size of voxelwise connectivity matrices, we adopted the fast eigenvector centrality method with some adaptations to make it suitable for the dFC framework. ...
INTRODUCTION Dynamic functional connectivity (dFC) based on resting-state functional magnetic resonance imaging (fMRI) aims at ex- ploring the configuration of brain networks and their rearrangement over ...
doi:10.1109/isbi.2016.7493431
dblp:conf/isbi/PretiV16
fatcat:tggy7mjv2ffgvaxws32kbul3le
Imaging human connectomes at the macroscale
2013
Nature Methods
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
This review provides a survey of magnetic resonance imaging-based measurements of functional and structural connectivity. ...
At macroscopic scales, the human connectome is composed of anatomically distinct brain areas, the structural pathways connecting them, and their functional interactions. ...
Thanks to Daniel Lurie for his assistance in the preparation of the manuscript and references, as well as to Zarrar Shehzad, Zhen Yang and Sebastian Urchs for their helpful comments. ...
doi:10.1038/nmeth.2482
pmid:23722212
pmcid:PMC4096321
fatcat:ahp5n642fzahpdjl2nke67dwxq
Fluorescence microscopy tensor imaging representations for large-scale dataset analysis
2020
Scientific Reports
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Recent advances in optical imaging technologies and chemical tissue clearing have facilitated the acquisition of whole-organ imaging datasets, but automated tools for their quantitative analysis and visualization ...
We have here developed a visualization technique capable of providing whole-organ tensor imaging representations of local regional descriptors based on fluorescence data acquisition. ...
Ralston and S. Stapleton for helpful discussions. We thank M. Pryskatch for assistance in animal preparation. ...
doi:10.1038/s41598-020-62233-2
pmid:32221334
pmcid:PMC7101442
fatcat:hjlognay3vaz7ajlmazxq32yke
Diffusion tensor imaging and white matter abnormalities in patients with disorders of consciousness
2015
Frontiers in Human Neuroscience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
We conclude by considering some of the remaining challenges to overcome, the existing knowledge gaps and the potential role of neuroimaging in understanding the pathogenesis and clinical features of disorders ...
In this review we focus on white matter alterations measured using Diffusion Tensor Imaging on patients with consciousness disorders, examining the most common diffusion imaging acquisition protocols and ...
MRI techniques such as functional magnetic resonance imaging (fMRI), and sometimes even the assessment of clinical scores (Tshibanda et al., 2009) . ...
doi:10.3389/fnhum.2014.01028
pmid:25610388
pmcid:PMC4285098
fatcat:mtt2vgbal5fvdojv3qh7efcki4
Fine-Scale Patterns Driving Dynamic Functional Connectivity Provide Meaningful Brain Parcellations
2018
Zenodo
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Publication in the conference proceedings of EUSIPCO, Kos island, Greece, 2017 ...
INTRODUCTION Functional connectivity (FC) based on resting-state (RS) functional magnetic resonance imaging (fMRI) allows to investigate networks underlying fluctuations of spontaneous brain activity ...
In this work, we build upon the concept of eigenvector centrality [15, 20] to integrate it into a dynamic analysis, and yield a data-driven voxel-wise estimation of dFC. ...
doi:10.5281/zenodo.1159676
fatcat:qv7bnniionesznrdi44eewe7we
Segmentation of Striatal Brain Structures from High Resolution PET Images
2009
International Journal of Biomedical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The method was experimentally validated with synthetic and real image data. ...
in brain research and drug development. ...
Magnetic resonance imaging (MRI) imaging measures the proton or water density. ...
doi:10.1155/2009/156234
pmid:19911061
pmcid:PMC2773407
fatcat:l442uoqiszf5vnqrqzizjffsl4
DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning
2020
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Diffusion tensor magnetic resonance imaging (DTI) is unsurpassed in its ability to map tissue microstructure and structural connectivity in the living human brain. ...
In this work we present a new processing framework for DTI entitled DeepDTI that minimizes the data requirement of DTI to six diffusion-weighted images (DWIs) required by conventional voxel-wise fitting ...
Introduction Noninvasive mapping of tissue microstructure and structural connectivity in the living human brain by diffusion magnetic resonance imaging (MRI) offers a unique window into the neural basis ...
doi:10.1016/j.neuroimage.2020.117017
pmid:32504817
pmcid:PMC7646449
fatcat:rik2oajbnnd3ljkn4uf7zvwjum
Mapping Brain Anatomical Connectivity Using Diffusion Magnetic Resonance Imaging: Structural connectivity of the human brain
2016
IEEE Signal Processing Magazine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
One of the primarily promoted technologies is diffusion Magnetic Resonance (dMR) imaging which non-invasively maps brain connectivity at a macroscopic scale by measuring water molecules' anisotropic diffusion ...
Along with an overview of existing technologies, we also attempt to provide an outlook of future challenges in building a comprehensive connectivity map that integrates genetic and functional information ...
FOD Image Processing Reconstruction of FODs ends at the stage of extracting voxel-wise fiber information from dMR images. ...
doi:10.1109/msp.2015.2510024
pmid:27212872
pmcid:PMC4869891
fatcat:nkfwwsp6cnatlmeaah2stye2n4
3D multiscale vessel enhancement based centerline extraction of blood vessels
2013
Medical Imaging 2013: Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this thesis, we have developed a couple of methods for fast and user-friendly blood vessel segmentation. ...
The results have shown that the methods work in just seconds for images related to catheter navigation and in a couple of minutes for liver resection planning images. ...
All the medical images (Image5-8) shown in the first column are contrast enhanced magnetic resonance angiogram images. ...
doi:10.1117/12.2006779
dblp:conf/miip/KumarARLEE13
fatcat:cjh6enhjf5dffcmyslrwareh2e
A geometric flow for segmenting vasculature in proton-density weighted MRI
2008
Medical Image Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2008; you can also visit the original URL.
The file type is application/pdf.
Modern neurosurgery takes advantage of magnetic resonance images (MRI) of a patient's cerebral anatomy and vasculature for planning before surgery and guidance during the procedure. ...
We carry out a qualitative validation of the approach on PD, MR angiography and Gadolinium enhanced MRI volumes and suggest a new way to visualize the segmentations in 2D with masked projections. ...
Acknowledgments This work was supported by grants from NSERC, FQRNT, CFI and CIHR. We thank Bruce Pike, Simon Drouin and Ingerid Reinertsen for helpful discussions. ...
doi:10.1016/j.media.2008.02.003
pmid:18375175
fatcat:2efmotwkf5frdgjfd5prj42qja
Current Status and Future Perspectives of Magnetic Resonance High-Field Imaging: A Summary
2012
Neuroimaging clinics of North America
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
There are several magnetic resonance (MR) imaging techniques that benefit from high-field MR imaging. ...
This article features a range of novel techniques that are currently being used clinically or will be used in the future for clinical purposes as they gain popularity. ...
Acknowledgments This work was supported by Grant No. 1RC1MH090912-01, KL2 RR025012, R21 EB009441, 5 T32 HL007936-10, from the National Institutes of Health. ...
doi:10.1016/j.nic.2012.02.012
pmid:22548938
pmcid:PMC3586777
fatcat:aagwrp6ikfcu7dwekldomw3scy
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We present an extensive literature review of CNN techniques applied in brain magnetic resonance imaging (MRI) analysis, focusing on the architectures, pre-processing, data-preparation and post-processing ...
These methods have also been utilised in medical image analysis domain for lesion segmentation, anatomical segmentation and classification. ...
Acknowledgments Jose Bernal and Kaisar Kushibar hold FI-DGR2017 grants from the Catalan Government with reference numbers 2017FI B00476 and 2017FI B00372, respectively. Daniel S. ...
arXiv:1712.03747v3
fatcat:sq5nphm645hkliljzs74py4htm
Diffusion Tensor Imaging and Its Application to Traumatic Brain Injury: Basic Principles and Recent Advances
2012
Open Journal of Medical Imaging
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Diffusion weighted imaging is an advanced magnetic resonance imaging (MRI) technique that is sensitive to the movement of water molecules, providing additional information on the micro-structural arrangement ...
This review focuses on the theoretical basis and applied advanced techniques of diffusion weighted imaging, their limitations and applications, and future directions in the application to TBI. ...
Probabilistic methods produce maps of "connectivity", which give the probability of this voxel to be connected to a reference position for every voxel of a regular 3D grid. ...
doi:10.4236/ojmi.2012.24025
fatcat:h55evmhkkndapaczqmptddpguu
Conn: A Functional Connectivity Toolbox for Correlated and Anticorrelated Brain Networks
2012
Brain Connectivity
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
standard functional connectivity magnetic resonance imaging (fcMRI) measures, and second-level random-effect analysis for resting state as well as task-related data. ...
analysis for multiple ROI sources, graph theoretical analysis, and novel voxel-to-voxel analysis of functional connectivity. ...
Author Disclosure Statement The authors of the study have no conflict of interest to declare. ...
doi:10.1089/brain.2012.0073
pmid:22642651
fatcat:cynvmokadjhf7eyqa4w32r7da4
« Previous
Showing results 1 — 15 out of 383 results