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A voxel is a three-dimensional counterpart to a pixel.It represents a value on a regular grid in a three-dimensional space.Voxels are frequently used in the visualization and analysis of medical and scientific data (e.g. geographic information systems (GIS)). [1]
Analysis of Functional NeuroImages (AFNI) is an open-source environment for processing and displaying functional MRI data—a technique for mapping human brain activity.. AFNI is an agglomeration of programs that can be used interactively or flexibly assembled for batch processing using shell script.
Cinematic rendering, an alternative visualization technique; Isosurface, a surface that represents points of a constant value (e.g. pressure, temperature, velocity, density) within a volume of space; Flow visualization, a technique for the visualization of vector fields; Volume mesh, a polygonal representation of the interior volume of an object
The files can be used to store voxel-based volumes. One data item consists of two files: One file with the actual data in a binary format with the filename extension.img and another file (header with filename extension .hdr) with information about the data such as voxel size and number of voxels in each dimension. SPM has defined changes to ...
MeVisLab is a cross-platform application framework for medical image processing and scientific visualization.It includes advanced algorithms for image registration, segmentation, and quantitative morphological and functional image analysis.
Vaa3D was created in 2007 to tackle the large-scale brain mapping project at Janelia Farm of the Howard Hughes Medical Institute.The initial goal was to quickly visualize any of the tens of thousands of large 3D laser scanning microscopy image stacks of fruit fly brains, each with a few gigabytes in volume.
Brain rendered with VOXEL-MAN from magnetic resonance imaging data 1998. VOXEL-MAN is the name of a set of computer programs for creation and visualization of three-dimensional digital models of the human body derived from cross-sectional images of computer tomography, magnetic resonance tomography or photography (e. g. the Visible Human Project). [1]
Parametric statistical models are assumed at each voxel, using the general linear model to describe the data variability in terms of experimental and confounding effects, with residual variability. Hypotheses expressed in terms of the model parameters are assessed at each voxel with univariate statistics.