Neuroimaging Informatics Technology Initiative

Last updated
Neuroimaging Informatics Technology Initiative
Filename extension
.nii, .nii.gz, .hdr/.img
Initial release2 September 2003;18 years ago (2003-09-02)
Latest release
2.0
Open format?Yes
Website nifti.nimh.nih.gov

The Neuroimaging Informatics Technology Initiative (NIfTI) is an open file format [1] commonly used to store brain imaging data obtained using Magnetic Resonance Imaging methods.

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Digital Imaging and Communications in Medicine (DICOM) is the standard for the communication and management of medical imaging information and related data. DICOM is most commonly used for storing and transmitting medical images enabling the integration of medical imaging devices such as scanners, servers, workstations, printers, network hardware, and picture archiving and communication systems (PACS) from multiple manufacturers. It has been widely adopted by hospitals and is making inroads into smaller applications such as dentists' and doctors' offices.

An open file format is a file format for storing digital data, defined by a openly published specification usually maintained by a standards organization, and which can be used and implemented by anyone. Open file format is licensed with open license. For example, an open format can be implemented by both proprietary and free and open-source software, using the typical software licenses used by each. In contrast to open file formats, closed file formats are considered trade secrets. However, the actual image used by an open file format may still be copyrighted or trademarked.

NIF or Nif may refer to:

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Health informatics Applications of information processing concepts and machinery in medicine

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Analyze is a software package developed by the Biomedical Imaging Resource (BIR) at Mayo Clinic for multi-dimensional display, processing, and measurement of multi-modality biomedical images. It is a commercial program and is used for medical tomographic scans from magnetic resonance imaging, computed tomography and positron emission tomography.

A digital image is an image composed of picture elements, also known as pixels, each with finite, discrete quantities of numeric representation for its intensity or gray level that is an output from its two-dimensional functions fed as input by its spatial coordinates denoted with x, y on the x-axis and y-axis, respectively. Depending on whether the image resolution is fixed, it may be of vector or raster type. By itself, the term "digital image" usually refers to raster images or bitmapped images.

Image markup is markup language that attaches annotations to image files. It is a critical technology for many researchers and practitioners, especially in the field of medicine.

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Cambridge Brain Analysis (CamBA), is a software repository developed at the Brain Mapping Unit, Department of Psychiatry, University of Cambridge, UK and contains software pipelines for functional magnetic resonance imaging (fMRI) analysis. It is designed for batch processing and its main graphical user interface offers a spreadsheet-like look-and-feel.

Neuroscience Information Framework

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Mango (software)

Mango 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.

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The National Database for Autism Research (NDAR) is a secure research data repository promoting scientific data sharing and collaboration among autism spectrum disorder (ASD) investigators. The project was launched in 2006 as a joint effort between five institutes and centers at the National Institutes of Health (NIH): the National Institute of Mental Health (NIMH), the National Institute of Child Health and Human Development (NICHD), the National Institute of Neurological Disorders and Stroke (NINDS), the National Institute of Environmental Health Sciences (NIEHS), and the Center for Information Technology (CIT). The goal of NDAR is to provide a shared common platform for data collection, retrieval, and archiving to accelerate the advancement of research on autism spectrum disorders. The largest repository of its kind, NDAR makes available data at all levels of biological and behavioral organization for all data types. As of November 2013, data from over 90,000 research participants are available to qualified investigators through the NDAR portal. Summary information about the available data is accessible through the NDAR public website.

Neuroimaging Informatics Tools and Resources Clearinghouse

The Neuroimaging Tools and Resources Collaboratory 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.

Ron Kikinis American physician and scientist (born 1956)

Ron Kikinis is an American physician and scientist best known for his research in the fields of imaging informatics, image guided surgery, and medical image computing. He is a professor of radiology at Harvard Medical School. Kikinis is the founding director of the Surgical Planning Laboratory in the Department of Radiology at Brigham and Women's Hospital, in Boston, Massachusetts. He is the Vice-Chair for Biomedical Informatics Research in the Department of Radiology.

References

  1. dfwg. "NIfTI: — Neuroimaging Informatics Technology Initiative". nifti.nimh.nih.gov. Retrieved 2019-08-03.