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List Of Neuroimaging Software
Neuroimaging software is used to study the structure and function of the brain. To see an NIH Blueprint for Neuroscience Research funded clearinghouse of many of these software applications, as well as hardware, etc. go to the NITRC web site. * 3D Slicer Extensible, free open source multi-purpose software for visualization and analysis. * Amira 3D visualization and analysis software * Analysis of Functional NeuroImages (AFNI) * Analyze developed by the Biomedical Imaging Resource (BIR) at Mayo Clinic. * Brain Image Analysis Package * CamBA * Caret Van Essen Lab, Washington University in St. Louis * CONN (functional connectivity toolbox) Diffusion Imaging in Python (DIPY)DL+DiReCT* EEGLAB * FMRIB Software Library (FSL) * FreeSurfer * Imarisbr>Imaris for Neuroscientists* ISAS (Ictal-Interictal SPECT Analysis by SPM) * LONI Pipeline, Laboratory of Neuro Imaging, USC * Mango * NITRC The Neuroimaging Informatics Tools and Resources Clearinghouse. An NIH funded database ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neuroimaging
Neuroimaging is the use of quantitative (computational) techniques to study the structure and function of the central nervous system, developed as an objective way of scientifically studying the healthy human brain in a non-invasive manner. Increasingly it is also being used for quantitative studies of brain disease and psychiatric illness. Neuroimaging is a highly multidisciplinary research field and is not a medical specialty. Neuroimaging differs from neuroradiology which is a medical specialty and uses brain imaging in a clinical setting. Neuroradiology is practiced by radiologists who are medical practitioners. Neuroradiology primarily focuses on identifying brain lesions, such as vascular disease, strokes, tumors and inflammatory disease. In contrast to neuroimaging, neuroradiology is qualitative (based on subjective impressions and extensive clinical training) but sometimes uses basic quantitative methods. Functional brain imaging techniques, such as functional magnet ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Imaris
Bitplane is a provider of software for 3D and 4D image analysis for the life sciences. Founded in December 1992, Bitplane operates out of three offices in Zürich, Switzerland, Belfast, United Kingdom, and South Windsor, Connecticut, United States. Company history As confocal microscopes were first becoming commercially available, the founders of Bitplane, Marius Messerli, Karl-Hermann Fuchs, and Jürgen Holm, realised that there was no suitable way to visualize and analyze the images provided by this more modern equipment. While pursuing their research at the Institute for cell Biology at the ETH in Zurich the first productive version of Bitplane's core product, Imaris, was developed. A small community of users developed among the scientific collaborators of the founders and the company Bitplane was created. The name Imaris derives from three words: "image" analysis, the primary function of the software, "Marius" the name of the innovator and Bitplane co-founder, and finally, t ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Statistical Parametric Mapping
Statistical parametric mapping (SPM) is a statistical technique for examining differences in brain activity recorded during functional neuroimaging experiments. It was created by Karl Friston. It may alternatively refer to software created by the Wellcome Department of Imaging Neuroscience at University College London to carry out such analyses. Approach Unit of measurement Functional neuroimaging is one type of 'brain scanning'. It involves the measurement of brain activity. The measurement technique depends on the imaging technology (e.g., fMRI and PET). The scanner produces a 'map' of the area that is represented as voxels. Each voxel represents the activity of a specific volume in three-dimensional space. The exact size of a voxel varies depending on the technology. fMRI voxels typically represent a volume of 27 mm3 in an equilateral cuboid. Experimental design Researchers examine brain activity linked to a specific mental process or processes. One approach involves aski ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Spinal Cord Toolbox
Spinal Cord Toolbox (SCT) is a suite of analysis tools optimized for spinal cord images acquired with magnetic resonance imaging Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to form pictures of the anatomy and the physiological processes of the body. MRI scanners use strong magnetic fields, magnetic field gradients, and radio wave .... Main features include segmentation, registration and calculation of anatomical metrics. Features * Propseg Automatic spinal cord segmentation. * The PAM50 template is an anatomical template of the spinal cord that covers the full spinal cord and brainstem and is available for T1-, T2- and T2*-weighted MRI contrasts. The PAM50 template includes probabilistic segmentation of white matter, gray matter, CSF as well as probabilistic atlases of gray matter subregions and white matter pathways. The template also include segmentation of spinal levels for automatic assessment of metrics at specific locations. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Seed-based D Mapping
Seed-based d mapping (formerly Signed differential mapping) or SDM is a statistical technique created by Joaquim Radua for meta-analyzing studies on differences in brain activity or structure which used neuroimaging techniques such as fMRI, VBM, DTI or PET. It may also refer to a specific piece of software created by the SDM Project to carry out such meta-analyses. The seed-based d mapping approach Overview of the method SDM adopted and combined various positive features from previous methods, such as ALE or MKDA, and introduced a series of improvements and novel features. One of the new features, introduced to avoid positive and negative findings in the same voxel as seen in previous methods, was the representation of both positive differences and negative differences in the same map, thus obtaining a signed differential map (SDM). Another relevant feature, introduced in version 2.11, was the use of effect sizes (leading to effect-size SDM or 'ES-SDM'), which allows combinati ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neurophysiological Biomarker Toolbox
The Neurophysiological Biomarker Toolbox (NBT) is an open source MATLAB toolbox for the computation and integration of neurophysiological biomarkers (e.g., biomarkers based on EEG or MEG recordings). The NBT toolbox has so far been used in seven peer-reviewed research articles, and has a broad user base of more than 1000 users. The NBT toolbox provides unique features for analysis of resting-state EEG or MEG recordings. NBT offers a pipeline from data storage to statistics including artifact rejection, signal visualization, biomarker computation, statistical testing, and biomarker databasing. NBT allows for easy implementation of new biomarkers, and incorporates an online wiki (the NBTwiki) that aims at facilitating collaboration among NBT users including extensive help and tutorials. The standardised way of data storage and analysis that NBT proposes allow different research projects to merge, compare, or share their data and biomarker algorithms. Features Neuronal oscilla ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Open Source
Open source is source code that is made freely available for possible modification and redistribution. Products include permission to use the source code, design documents, or content of the product. The open-source model is a decentralized software development model that encourages open collaboration. A main principle of open-source software development is peer production, with products such as source code, blueprints, and documentation freely available to the public. The open-source movement in software began as a response to the limitations of proprietary code. The model is used for projects such as in open-source appropriate technology, and open-source drug discovery. Open source promotes universal access via an open-source or free license to a product's design or blueprint, and universal redistribution of that design or blueprint. Before the phrase ''open source'' became widely adopted, developers and producers have used a variety of other terms. ''Open source'' gained ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Python (programming Language)
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library. Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued with version 2.7.18 in 2020. Python consistently ranks as ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
NeuroKit
NeuroKit (''"nk"'') is an open source toolbox for physiological signal processing. The most recent version, ''NeuroKit2'', is written in Python and is available from the PyPI package repository. As of June 2022, the software was used in 94 scientific publications. NeuroKit2 is presented as one of the most popular and contributor-friendly open-source software for neurophysiology based on the number of downloads, the number of contributors, and other GitHub metrics. History The first version of ''NeuroKit'' was created as a PhD side-project of Dominique Makowski in 2017. It was officially deprecated in 2020 and has been replaced by the current version, ''NeuroKit2''. A few major updates have been released since: * February 08, 2021: The 0.1.0 release coincides with the first publication of the software. * May 18, 2022: The 0.2.0 release coincides with an overhaul of the documentation. Features NeuroKit2 includes tools to work with cardiac activity from electrocardiography (ECG ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neuroimaging Informatics Tools And Resources Clearinghouse
The Neuroimaging Tools and Resources CollaboratoryNITRC is a neuroimaging informatics knowledge environment for MR, PET/SPECT, CT, EEG/MEG, optical imaging, clinical neuroinformatics, imaging genomics, and computational neuroscience tools and resources. Description Initiated in 2006 and currently funded by NIH Grant number1R24EB029173, NITRC's mission is to provide a user-friendly knowledge environment that enables the distribution, enhancement, and adoption of neuroimaging tools and resources and has expanded from MR to Imaging Genomics, EEG/MEG, PET/SPECT, CT, optical imaging, clinical neuroinformatics, and computational neuroscience. Supporting 143,000 page views per month, NITRC's 1,000+ tools and resources have been downloaded over 11.4 million times by 1.4 million users. NITRC's goal is to support researchers dedicated to enhancing, adopting, distributing, and contributing to the evolution of previously funded neuroimaging analysis tools and resources for broader community ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Mango (software)
Mango (Multi-Image Analysis GUI) is a non-commercial software for viewing, editing and analyzing volumetric medical images. Mango is written in Java, and distributed freely in precompiled versions for Linux, Mac OS and Microsoft Windows. It supports NIfTI, ANALYZE, NEMA and DICOM formats and is able to load and save 2D, 3D and 4D images. Mango provides tools for creation and editing of regions of interest (ROI) within the images, surface rendering, image stacking (overlaying), filtering in space domain and histogram analysis, among other functions that can be used in neuroimaging analysis for scientific (non-clinical) purposes. The software can be extended with user-defined functions ( plug-ins), which can be created using the Java language and the Mango API. See also * List of neuroimaging software Neuroimaging software is used to study the structure and function of the brain. To see an NIH Blueprint for Neuroscience Research funded clearinghouse of many of these software ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
LONI Pipeline
The LONI Pipeline is a free distributed system for designing, executing, monitoring and sharing scientific workflowsRex, D. E., Ma, J.Q., and Toga, A.W. (2003). "The LONI Pipeline Processing Environment." Neuroimage, 19(3), 1033-48.Rex, D. E., Shattuck, D. W., Woods, R. P., Narr, K. L., Luders, E., Rehm, K., Stolzner, S. E., Rottenberg, D. E., and Toga, A. W. (2004). "A meta-algorithm for brain extraction in MRI." NeuroImage, 23(2), 625–637 on grid computing architectures. Pipeline allows users to connect and run any number of different software tools, and conveniently visualize and download the results. Unlike other workflow processing environments, Pipeline does not require new tools and services to include or be built against the core Pipeline libraries. The Pipeline environment references all data, services and tools as external objects. This allows the Pipeline to run as a light-weight middleware, but at the same time, restrict the scope of its applications. For example, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
