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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Automatic Segmentation Tool Adapter Resource Report Resource Website 1+ mentions |
Automatic Segmentation Tool Adapter (RRID:SCR_002481) | Automatic Segmentation Tool Adapter | software application, software resource | An open source learning-based software that automatically learns how to transfer the output of a host segmentation tool closer to the user's manual segmentation using the image data and manual segmentation provided by the user. The motivation of this project is to bridge the gap between the segmentation tool developer and the tool users such that the existing segmentation tools can more effectively serve the community. More and more automatic segmentation tools are publicly available to today's researchers. However, when applied by their end-users, these segmentation tools usually can not achieve the performance that the tool developer reported. Discrepancies between the tool developer and its users in manual segmentation protocols and imaging modalities are the main reasons for such inconsistency. | algorithm, analyze, c, console (text based), magnetic resonance, nifti, posix/unix-like, segmentation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: INCF Software Center |
Free, Available for download, Freely available | nlx_155871 | SCR_002481 | 2026-08-04 09:40:40 | 5 | ||||||||
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PESTICA fMRI Physio Detection/Correction Resource Report Resource Website 1+ mentions |
PESTICA fMRI Physio Detection/Correction (RRID:SCR_002513) | PESTICA | software application, software resource | Software tool to detect physiologic signals from the data itself as well as an adaptive physiologic noise removal tool (Impulse Response Function or IRF-RETROICOR) that zooms in on noise with only 6 regressors, getting all the noise that 5th order RETROICOR gets. These tools will allow you to correct your data for physiologic noise with what you currently have. These signals are equivalent to a parallel monitored pulse signal and a respiratory chest-bellows signal. Do you have 3D+time EPI data (BOLD or perfusion) but no usable physio signals for pulse and respiration? Are you concerned about the effect of physio noise on your data but don't know what to do but regress data-derived signals that mix unknown functional signal with possible physio noise signal? Are you concerned about the number of regressors you're incorporating once you add 5th order RETROICOR (20 more regressors!)? This is for you. | algorithm, analyze, console (text based), hardware, independent component analysis, linux, macos, matlab, magnetic resonance, multivariate analysis, physiological recording, posix/unix-like, sh/bash, statistical operation, unix shell, workflow, fmri, detection, correction | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Free, Available for download, Freely available | nlx_155912 | SCR_002513 | Physiologic EStimation by Temporal ICA | 2026-08-04 09:40:40 | 6 | |||||||
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OpenMEEG Resource Report Resource Website 100+ mentions |
OpenMEEG (RRID:SCR_002510) | OpenMEEG | software application, software resource | A C++ package for low-frequency bio-electromagnetism solving forward problems in the field of EEG and MEG with very high accuracy. | algorithm, c++, eeg, meg, electrocorticography, eeg modeling, forward - inverse, macos, meg modeling, microsoft, modeling, posix/unix-like, windows, bioelectromagnetic |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: Brainstorm has parent organization: National Institute for Research in Computer Science and Control; Brittany; France |
PMID:20819204 PMID:15638183 |
Free, Available for download, Freely available | nlx_155910 | http://www.nitrc.org/projects/openmeeg, https://sources.debian.org/src/libopenmeeg-dev/ | SCR_002510 | 2026-08-04 09:40:39 | 101 | ||||||
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Computational Morphometry Toolkit Resource Report Resource Website 10+ mentions |
Computational Morphometry Toolkit (RRID:SCR_002234) | CMTK | software application, software resource, software toolkit | A software toolkit for computational morphometry of biomedical images, CMTK comprises a set of command line tools and a back-end general-purpose library for processing and I/O. The command line tools primarily provide the following functionality: registration (affine and nonrigid; single and multi-channel; pairwise and groupwise), image correction (MR bias field estimation; interleaved image artifact correction; EPI unwarping), processing (filters; combination of segmentations via voting and STAPLE; shape-based averaging), statistics (t-tests; general linear model). CMTK is implemented in C++ with parallel processing using POSIX Threads (SMP), OpenMP (SMP), Grand Central Dispatch (SMP), and CUDA (GPU). Supported file formats include Analyze (r/w), NIFTI (r/w), Nrrd (r/w), DICOM (read), BioRad (read). Data exchange with other toolkits, such as ITK, FSL, AFNI, SPM, etc. is thus easily accomplished. | reusable library, analyze, anatomic, artifact removal, atlas application, c, c++, console (text based), cygwin, dicom, domain independent, format conversion, image display, image reconstruction, image-to-image, labeling, linear, linux, macos, microsoft, magnetic resonance, nifti-1, nrrd, posix/unix-like, principal component analysis, region of interest, registration, regression, resampling, segmentation, sh/bash, spatial transformation, statistical operation, sunos/solaris, two dimensional display, unix shell, visualization, warping, win32 (ms windows), windows, workflow |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian has parent organization: neurodebian |
Free, Available for download, Freely available | nlx_155536 | http://www.nitrc.org/projects/cmtk, https://sources.debian.org/src/cmtk/ | SCR_002234 | Computational Morphometry Toolkit (CMTK) | 2026-08-04 09:40:36 | 33 | ||||||
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STAPLE Resource Report Resource Website 100+ mentions |
STAPLE (RRID:SCR_002590) | STAPLE | software application, software resource | An algorithm for the Simultaneous Truth and Performance Level Estimation, which estimates a reference standard and segmentation generator performance from a set of segmentations. It has been widely applied for the validation of image segmentation algorithms, and to compare the performance of different algorithms and experts. It has also found application in the identification of a consensus segmentation, by combination of the output of a group of segmentation algorithms, and for segmentation by registration and template fusion., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | algorithm, analyze, c++, dicom, gifti, image display, linux, macos, microsoft, magnetic resonance, nifti, nrrd, posix/unix-like, quantification, rendering, segmentation, surface rendering, visualization, win32 (ms windows), windows, standard |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Harvard Medical School; Massachusetts; USA |
PMID:15250643 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_155994 | http://www.nitrc.org/projects/staple | SCR_002590 | Simultaneous Truth and Performance Level Estimation, STAPLE - Simultaneous Truth and Performance Level Estimation | 2026-08-04 09:40:42 | 142 | |||||
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Nipype Resource Report Resource Website 500+ mentions |
Nipype (RRID:SCR_002502) | Nipype | software application, software resource | A package for writing fMRI analysis pipelines and interfacing with external analysis packages (SPM, FSL, AFNI). Current neuroimaging software offer users an incredible opportunity to analyze their data in different ways, with different underlying assumptions. However, this has resulted in a heterogeneous collection of specialized applications without transparent interoperability or a uniform operating interface. Nipype, an open-source, community-developed initiative under the umbrella of Nipy, is a Python project that solves these issues by providing a uniform interface to existing neuroimaging software and by facilitating interaction between these packages within a single workflow. Nipype provides an environment that encourages interactive exploration of algorithms from different packages (e.g., SPM, FSL), eases the design of workflows within and between packages, and reduces the learning curve necessary to use different packages. Nipype is creating a collaborative platform for neuroimaging software development in a high-level language and addressing limitations of existing pipeline systems. | magnetic resonance, python, workflow, analysis, pipeline, interface, data processing, neuroimaging |
is used by: Forward: Accurate finite element electromagnetic head models is used by: fMRIPrep is used by: NHP BIDS is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Neuroimaging in Python |
PMID:21897815 | Free, Available for download, Freely available | nlx_155901 | http://www.nitrc.org/projects/nipype | SCR_002502 | Nipype: Neuroimaging in Python Pipeline and Interfaces, NIPY Pipeline and Interfaces | 2026-08-04 09:40:40 | 822 | |||||
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Mesh-based Monte Carlo (MMC) Resource Report Resource Website |
Mesh-based Monte Carlo (MMC) (RRID:SCR_006950) | MMC | software application, software resource | A Monte Carlo (MC) solver for photon migration in 3D turbid media. Different from existing MC software designed for layered (such as MCML) or voxel-based media (such as MMC or tMCimg), MMC can represent a complex domain using a tetrahedral mesh. This not only greatly improves the accuracy of the solutions when modeling objects with smooth/complex boundaries, but also gives an efficient way to sample the problem domain to use less memory. The current version of MMC support multi-threaded programming and can give a almost proportional speed-up when using multiple CPU cores. | c, console (text based), modeling, monte carlo, optical imaging, posix/unix-like |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: SourceForge |
GNU General Public License | nlx_155810 | http://www.nitrc.org/projects/mmc | SCR_006950 | Mesh-based Monte Carlo | 2026-08-04 09:41:43 | 0 | ||||||
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Striatal Subregional VOImap Resource Report Resource Website |
Striatal Subregional VOImap (RRID:SCR_014173) | atlas, data or information resource | An atlas intended to provide accurate data in terms of specific uptake location to make the BP quantitation. The VOIs were manually drawn with software Analyze 9.0 (Mayo Clinic) in 18F-DOPA brain image after spatial normalization with a 18F-DOPA Template. Each striatum was divided into 6 sub-regions: ventral caudate, anterior dorsal caudate, posterior dorsal caudate, ventral putamen, anterior dorsal putamen and posterior dorsal putamen. | atlas, map, bp quantitation, striatum, uptake location | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Available to the research community, Free, Acknowledgement requested | SCR_014173 | 2026-08-04 09:43:21 | 0 | ||||||||||
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Brain Coactivation Map Resource Report Resource Website |
Brain Coactivation Map (RRID:SCR_014172) | atlas, data or information resource | The Brain Coactivation Map describes all the coactivation networks in the human brain based on the meta-analysis of more than 5,400 neuroimaging articles (from NeuroSynth) containing more than 16,000 individual experiments. The map can be browsed interactively (CoactivationMap.app on GitHub) or queried from a shell using a command line tool (cmtool on GitHub). | atlas, map, coactivation network, human brain, interactive, command line |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Pasteur Institute |
Available to the research community | https://github.com/r03ert0/CoactivationMap.app, https://github.com/r03ert0/cmtool | SCR_014172 | 2026-08-04 09:43:21 | 0 | |||||||||
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Preprocessed Connectomes Project Resource Report Resource Website 1+ mentions |
Preprocessed Connectomes Project (RRID:SCR_014162) | PCP | database, data or information resource | A project which systematically preprocess the data from the 1000 Functional Connectomes Project (FCP) and International Neuroimaging Data-sharing Initiative (INDI) and openly share the results. Data is currently hosted in an Amazon Web Services Public S3 Bucket and at NITRC. | database, neuroimaging data, preprocessing |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is affiliated with: 1000 Functional Connectomes Project |
Public, Acknowledgement requested | https://preprocessed-connectomes-project.github.io | SCR_014162 | 2026-08-04 09:43:21 | 1 | ||||||||
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Parkinsons Disease Discovery Database Resource Report Resource Website |
Parkinsons Disease Discovery Database (RRID:SCR_014160) | database, data or information resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented Jan. 5, 2016. Tools will be available for biomedical data mining and visualization as well as linkages to Google Maps and other online resources. | parkinson disease, database | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | THIS RESOURCE IS NO LONGER IN SERVICE | SCR_014160 | 2026-08-04 09:43:21 | 0 | ||||||||||
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Altered States Database Resource Report Resource Website 1+ mentions |
Altered States Database (RRID:SCR_016350) | ASDB | database, data or information resource | Database as an open science framework with a scientific data extracted from scientific literature about various altered states of consciousness assessed with questionnaires. Used to compare what experiences are elicited by different drugs and non-pharmacological methods that induce altered states to help to understand human consciousness functions. Is listed by Neuroimaging Informatics Tools. | altered, state, database, comprised, questionnaire, data, consciousness, neuroscience | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Wikimedia Foundation ; Stifterverband ; VolkswagenStiftung |
DOI:10.17605/OSF.IO/8MBRU | Free, Freely available | http://alteredstatesdb.org/#focus | SCR_016350 | Altered States Database | 2026-08-04 09:43:52 | 2 | |||||
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Manually Labeled MRI Brain Scan Database Resource Report Resource Website 1+ mentions |
Manually Labeled MRI Brain Scan Database (RRID:SCR_009604) | database, data or information resource | Collection of neuroanatomically labeled MRI brain scans, created by neuroanatomical experts. Regions of interest include the sub-cortical structures (thalamus, caudate, putamen, hippocampus, etc), along with ventricles, brain stem, cerebellum, and gray and white matter and sub-divided cortex into parcellation units that are defined by gyral and sulcal landmarks. | collection, neuroanatomical, MRI, brain, scan, data, thalamus, caudate, putamen, hippocampus, ventricle, cerebellum, cortex |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Neuromorphometrics works with: MRI Neuroanatomy Labeling Services works with: MRI Neuroanatomy Labeling Services |
NIMH R43 MH60507; NIMH R44 MH60507; NIMH R43 MH084358 |
Commercially available | nlx_155805 | http://www.nitrc.org/projects/manuallabels | SCR_009604 | 2026-08-04 09:42:25 | 1 | |||||||
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Pediatric Imaging Neurocognition and Genetics Resource Report Resource Website 50+ mentions |
Pediatric Imaging Neurocognition and Genetics (RRID:SCR_008953) | PING | database, data or information resource | A large multi-site pediatric MRI and genetics data resource to facilitate studies of the genomic landscape of the developing human brain. It includes information about the developing mental and emotional functions of the children to understand the genetic basis of individual differences in brain structure and connectivity, cognition, and personality. Investigators on the project are studying 1400 children between the ages of 3 and 20 years so that links between genetic variation and developing patterns of brain connectivity can be examined. Investigators interested in the effects of a particular gene will be able to search the database for any brain areas or connections between areas that differ as a function of variation in a particular gene, and also to determine if the genes appear to affect the course of brain development at some point during childhood. A data exploration tool has been created for mapping and analyzing MRI data sets collected for PING and related developmental studies. Approved investigators will be able to view raw image sets and derived 3D brain maps of MRI and DTI data, conduct hypothesis testing, and graph brain area measures as they change across the time course of development. PING Cores * Coordinating Core: Functions include project management, screening of participants and maintaining the database * Neuroimaging Core: applying a standardized high-resolution structural MRI protocol involving 3-D T1-weighted scans, a T2-weighted volume, and a set of diffusion-weighted scans with multiple b values and diffusion directions, scans to estimate MRI relaxation rates, and gradient echo EPI scans for resting state fMRI. Importantly, adaptive motion compensation, using ����??PROMO����??, a novel real-time motion correction algorithm will be used. Specific PING protocols for each scanner manufacturer: ** PING MRI Protocol - GE ** PING MRI Protocol - Philips ** PING MRI Protocol - Siemens * Assessment Core: Cognitive assessments for the PING project are conducted using the NIH Toolbox for Cognition. * Genomics Core: functions as a central repository for receipt of saliva samples collected for each study participant. Once received, samples are catalogued, maintained, and DNA is extracted using state-of-the-field laboratory techniques. Ultimately, genome-wide genotyping is performed on the extracted DNA using the Illumina Human660W-Quad BeadChip. PING involves 10 sites throughout the country including UCSD, University of Hawaii, Scripps Genomics, UCLA, UC Davis, Kennedy Krieger Institute/Johns Hopkins, Sacker Institute/Cornell University, University of Massachusetts, Massachusetts General Hospital/Harvard, and Yale. Families who may want to participate in the study, or others who want to know more about it, may email questions to ping (at) ucsd.edu. | pediatric, neuroimaging, genetics, child, early adult human, adolescent, genetic variant, magnetic resonance imaging, brain, gene, brain structure, connectivity, function, brain development, cognition, experimental protocol, saliva, dna, diffusion tensor imaging, image, genotype, dicom, imaging genomics, magnetic resonance, nifti, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIH Toolbox - Assessment of Neurological and Behavioral Function has parent organization: University of California at San Diego; California; USA has parent organization: Multimodal Imaging Laboratory |
NIDA ; ARRA ; NICHD |
Data Use Agreement required. | nlx_151904 | http://www.nitrc.org/projects/ping | http://ping.chd.ucsd.edu/ | SCR_008953 | PING Study, Pediatric Imaging Neurocognition and Genetics (PING) | 2026-08-04 09:42:15 | 76 | ||||
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Functional ROI Atlas Resource Report Resource Website |
Functional ROI Atlas (RRID:SCR_009481) | Functional ROI Atlas | atlas, data or information resource | An effort to provide a set of quasi-probabilistic atlases for established functional ROIs in the human neuroimaging literature. Many atlases exist for various anatomical parcellation schemes, such as the Brodmann areas, the structural atlases, tissue segmentation atlases, etc. To date, however, there is no atlas for so-called functional ROIs. Such fROIs are typically associated with an anatomical label of some kind (e.g. the _fusiform_ face area), but these labels are only approximate and can be misleading inasmuch as fROIs are not constrained by anatomical landmarks, whether cytoarchitectonic or based on sulcal and gyral landmarks. The goal of this project is to provide quasi-probabilistic atlases for fROIs that are based on published coordinates in the neuroimaging literature. This is an open-ended enterprise and the atlas can grow as needed. Members of the neuroscience and neuroimaging community interested in contributing to the project are encouraged to do so. | magnetic resonance, nifti, functional roi, region of interest, neuroimaging | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | GNU General Public License, The community can contribute to this resource | nlx_155628 | SCR_009481 | 2026-08-04 09:42:23 | 0 | ||||||||
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Atlasing of the basal ganglia Resource Report Resource Website 1+ mentions |
Atlasing of the basal ganglia (RRID:SCR_009431) | Atlasing of the basal ganglia | atlas, data or information resource | This atlas takes advantage of ultra-high resolution 7T MRI to provide unprecedented levels of detail on structures of the basal ganglia in-vivo. The atlas includes probability maps of the Subthalamic Nucleus (STh) using T2*-imaging. For now it has been created on 13 young healthy participants with a mean age of 24.38 (range: 22-28, SD: 2.36). We recently also created atlas STh probability maps from 8 middle-aged participants with a mean age of 50.67 (range: 40-59, SD: 6.63), and 9 elderly participants with a mean age of 72.33 (range: 67-77, SD: 2.87). You can find more details about the creation of these maps in the following papers: Young: http://www.ncbi.nlm.nih.gov/pubmed/22227131 Middle-aged & Elderly: http://www.ncbi.nlm.nih.gov/pubmed/23486960 Participating institutions are the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, and the Cognitive Science Center Amsterdam, University of Amsterdam, the Netherlands. | magnetic resonance, mri, late adult human, early adult human, middle adult human, basal ganglia |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: LEAD-DBS |
Aging | PMID:22227131 PMID:23486960 |
Creative Commons License | nlx_155581 | SCR_009431 | 2026-08-04 09:42:23 | 5 | ||||||
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MR Connectome Automated Pipeline Resource Report Resource Website |
MR Connectome Automated Pipeline (RRID:SCR_002252) | MRCAP | software resource | Based on JIST and MIPAV, this pipeline combines structural magnetic resonance data with diffusion tensor imaging to estimate a connectome, which is a comprehensive description of the wiring diagram of the brain. | java, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: JIST: Java Image Science Toolkit is related to: MIPAV: Medical Image Processing and Visualization |
PMID:22481745 | Free, Available for download, Freely available | nlx_155575 | SCR_002252 | Magnetic Resonance Connectome Automated Pipeline, MR Connectome Automated Pipeline (MRCAP) | 2026-08-01 12:01:44 | 0 | ||||||
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International Neuroinformatics Coordinating Facility Resource Report Resource Website 50+ mentions |
International Neuroinformatics Coordinating Facility (RRID:SCR_002282) | INCF | nonprofit organization | Independent international facilitator catalyzing and coordinating global development of neuroinformatics aiming to advance data reuse and reproducibility in global brain research. Integrates and analyzes diverse data across scales, techniques, and species to understand brain function and positively impact the health and well being of society. | neuroinformatics, neuroscience, neuroimaging, clinical, brain, data, sharing, reuse, global |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Spike Sorting Evaluation Project is related to: Allen Brain Atlas API is related to: SenseLab has parent organization: Karolinska Institute; Stockholm; Sweden has parent organization: Royal Institute of Technology; Stockholm; Sweden is parent organization of: INCF Dataspace is parent organization of: Waxholm Space is parent organization of: MUlti SImulation Coordinator is parent organization of: INCF Software Center is parent organization of: Program on Ontologies of Neural Structures is parent organization of: Common Upper Mammalian Brain Ontology is parent organization of: INCF Training in Neuroinformatics is parent organization of: INCF Funding is parent organization of: INCF Blog is parent organization of: INCForg - YouTube is parent organization of: INCF Swiss Node is parent organization of: INCF Newsroom is parent organization of: INCF Japan Node is parent organization of: Scalable Brain Atlas is parent organization of: INCF Job Board is parent organization of: INCF Neuroimaging Data Sharing is parent organization of: Waxholm Space is parent organization of: NeuroLex is parent organization of: Neuroimaging Data Model is parent organization of: Neuron Registry Curator Interface is parent organization of: INCF-Neurobot |
Swedish Research Council ; Swedish Foundation for Strategic Research ; NSF |
ISNI: 0000 0004 6107 939X, grid.498423.0, nif-0000-00365 | https://ror.org/02y5xjh56 | SCR_002282 | INCF, International Neuroinformatics Coordinating Facility, The International Neuroinformatics Coordinating Facility | 2026-08-01 12:02:09 | 56 | ||||||
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CleanLine Resource Report Resource Website 100+ mentions |
CleanLine (RRID:SCR_002233) | CleanLine | software resource | An EEGLAB plugin which adaptively estimates and removes sinusoidal artifacts from independent component analysis (ICA) components or scalp channels using a frequency-domain (multi-taper) regression technique with a Thompson F-statistic for identifying significant sinusoidal artifacts. This approach has been advocated by Partha Mitra and Hemant Bokil (Observed Brain Dynamics, Chapter 7.3.4., 2007) and CleanLine utilizes modified routines from the Mitra Lab's Chronux Toolbox (www.chronux.org). Sinusoidal noise can be a prominent artifact in recorded electrophysiological data. This can stem from AC power line fluctuations (e.g. 50/60 Hz line noise + harmonics), power suppliers (e.g. in medical equipment), fluorescent lights, etc. Notch filtering is generally undesirable due to creation of band-holes, and significant distortion of frequencies around the notch frequency (as well as phase distortion at other frequencies and Gibbs rippling in the time-domain). | eeg, meg, electrocorticography, spectral analysis, temporal transformation | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | GNU General Public License | nlx_155529 | SCR_002233 | 2026-08-01 12:02:08 | 120 | ||||||||
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PSTNet: MRI Simulator Resource Report Resource Website |
PSTNet: MRI Simulator (RRID:SCR_002460) | MRI Simulator | instrument resource | MRI Simulator that provides a realistic approximation of an actual MRI scanner to allow habituation and training of participants in an environment less daunting than a real scanner. Special populations such as children, the elderly, and psychiatric patients, are often prone to claustrophobia and anxiety in the bore of a magnet, and consequently have a much higher rate of terminating the experiment or scan session before its completion. Some centers that have dealt with these populations estimate a 50%-80% failure rate. With the use of the MRI Simulator this failure rate can often be reduced below 5%, improving cost effectiveness. | experiment control, hardware, magnetic resonance, training, simulator, mri, scanner, instrument, equipment | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | Restricted | https://drive.google.com/file/d/1ZMEBlvJqOupTbVemgrdVN66Bf6Xa2Dhr/view?usp=drivesdk | nlx_155834 | http://www.nitrc.org/projects/mri_simulator, https://pstnet.com/wp-content/uploads/2018/05/MRI-Simulator-Pamphlet-.pdf | SCR_002460 | Psychology Software Tools MRI Simulator | 2026-08-01 12:01:48 | 0 |
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