Search Results for "nifti"
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Showing 6 open source projects for "nifti"
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Neuroglancer
WebGL-based viewer for volumetric data
...Its multi-pane interface synchronizes multiple orthogonal views with a central 3D viewport, making it ideal for analyzing complex brain imaging data such as connectomics datasets. Neuroglancer operates entirely client-side, fetching data over HTTP in a variety of supported formats including Neuroglancer precomputed, N5, Zarr, and NIfTI, among others. The viewer is built with a multi-threaded architecture, separating rendering and data processing to ensure smooth performance even with massive datasets. Extensively used in neuroscience research, Neuroglancer supports integration with tools. -
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Inviwo
Interactive Visualization Workshop
Inviwo is a modern, open-source visualization framework designed for interactive visual data analysis and scientific computing. Built in C++ with a modular, extensible architecture, Inviwo combines a visual editor (for creating data pipelines) with a powerful runtime engine that supports real-time rendering, interaction, and GPU-accelerated processing. It’s widely used in scientific domains for building and sharing visualizations of complex data such as medical imaging, simulations, and... -
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3DBrainExplorer is a lightweight OpenGL-based 3D renderer for scientific visualization of volumetric data (NIfTI) featuring real-time image manipulation, AAL brain labels (Tzourio-Mazoyer et al., 2002), SPM5 statistical images and stereo display.
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...Ogles started out as a planning system for frame based stereotactic neurosurgery. Ogles(1) is discontinued. Release candidate (RC) is Ogles2b. Ogles is accompanied by a simple DICOM reader and NIfTI converting tool (Sdr2).
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Glass Brain is a tool specifically designed for displaying neural connections within the human brain given multidimensional scan data and a connectivity graph. This project benefits from Qt, VTK, ITK, and CMake.
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MATLAB tools to create overlay images from NIfTI or ANALYZE files (neuroimaging format) and convert them to DICOM for use in the clinical environment. Allows radiologists and neurosurgeons easy access to fMRI data. http://paradime.net/research/
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