Image segmentation software tools | Nuclear medicine imaging analysis
In nuclear medicine, segmentation techniques are used to detect the extent of a tissue, an organ, a tumour inside an image, the boundaries of structures in cases that these are ambiguous and the areas that radiopharmaceutical concentrate in a greater extent. Thus, the segmentation process serves in assisting the implementation of other procedures; in other words, it constitutes the fundamental step of some basic medical image processing.
Offers a digital imaging and communications in medicine (DICOM) solution. OsiriX is an image processing software that provides displaying, reviewing, interpreting and post-processing image files. It supports DICOM standard for a complete integration in a workflow environment and in a picture archiving and communication system (PACS).
Hosts heterogeneous tools dedicated to neuroimaging research. BrainVISA aims to help researchers in developing new neuroimaging tools, sharing data and distributing software. It offers a way to define viewers which may use any visualization software. Thanks to its data management functions, the tool can define the data types handled by the software, associate key attributes for indexation, and filename patterns to make the link between the filesystem and the database schema.
Extends the unified segmentation approach to tissue classification implemented in Statistical Parametric Mapping (SPM) software to neonates. MANTiS utilizes a combination of unified segmentation, template adaptation via morphological segmentation tools and topological filtering, to segment the neonatal brain into eight tissue classes: cortical gray matter, white matter, deep nuclear gray matter, cerebellum, brainstem, cerebrospinal fluid (CSF), hippocampus and amygdala. It is able to segment neonatal brain tissues well, even in images that have brain abnormalities common in preterm infants.
Provides a common visualization and storage platform, which can be used for visualization of data from any source, provided that an import filter exists for this format. This platform can be extended by various software packages, individually designed for analysis of specific data sets. Visualization is based on multi-planar reconstruction allowing extraction of arbitrary slices from a 3D-volume.
Allows users to display and manipulate three dimensional objects, mainly human cortical surfaces and sulcal curves. Display includes visualization and segmentation of 3D and 4D medical images. It supports a number of visualization features such as: visualization of 3D surfaces; the intersection of the 3D surface with the volumetric data; viewing an arbitrary, oblique plane through the volumetric data. It also permits researchers to annotate structural features on either a surface or a volumetric dataset.
Performs image segmentation and registration. CMP-BIA is dedicated to ImageJ/Fiji and contains a plugin named jSLIC. This plugin is a segmentation method for clustering, in a given image, similar regions (as known as superpixels) which are usually used for other segmentation techniques, classification and registration. It gives reliable superpixels shapes, with no need of decreasing their size.
Offers functions to display images and surfaces. AMILab contains two-dimensional function plot and histogram scripts. It employs the automatic wrapping of the VTK and wxWidgets to proceed. The tool scripting language features can be extended with manual and automatic wrapping. It can be useful for: sub-images, resizing, arithmetic operations, Gaussian convolutions, mathematical morphology, distance transforms and skeletonization.