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CONN includes a user-friendly GUI to manage all aspects of functional connectivity analyses, [1] including preprocessing of functional and anatomical volumes, [2] elimination of subject-movement and physiological noise, [3] outlier scrubbing, [4] estimation of multiple connectivity and network measures, and population-level hypothesis testing.
NITRC The Neuroimaging Informatics Tools and Resources Clearinghouse. An NIH funded database of neuroimaging tools; NeuroKit, a Python open source toolbox for physiological signal processing; Neurophysiological Biomarker Toolbox; PyNets: A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning (PyNets)
Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to generate pictures of the anatomy and the physiological processes inside the body. MRI scanners use strong magnetic fields , magnetic field gradients, and radio waves to form images of the organs in the body.
Accoridng to Medtronic's release, up to 75% of worldwide patients with implanted cardiac devices could need an MRI during their device's lifetime, making the company's product fill a valuable niche.
In 2010, an extended FLASH method with highly undersampled radial data encoding and iterative image reconstruction achieved real-time MRI with a temporal resolution of 20 milliseconds (1/50th of a second). [4] [5] Taken together, this latest development corresponds to an acceleration by a factor of 10,000 compared to the MRI situation before ...
MRI is contraindicated in the presence of MR-unsafe implants, and although these patients may be imaged with CT, beam hardening artefact from metallic devices, such as pacemakers and implantable cardioverter-defibrillators, also may affect image quality. [65] MRI is a longer investigation than CT and an exam may take between 20 and 40 minutes ...
Functional magnetic resonance imaging data. Functional neuroimaging is the use of neuroimaging technology to measure an aspect of brain function, often with a view to understanding the relationship between activity in certain brain areas and specific mental functions.
ASL maps can mainly be analyzed using the same tools to analyze fMRI and VBM. Many ASL-specific toolboxes have been developed to assist in ASL analysis, such as BASIL (Bayesian inference for arterial spin labelling MRI), part of the FSL neuroimaging package and also Ze Wang's ASL toolbox (using MATLAB) to assist in the subtraction and averaging ...