Allows users to estimate the forward and reverse transformation between two images. SICLE is an image registration algorithm that determines the forward and reverse transformation between them while minimizing the inverse consistency error. It acts like that to cut the correspondence between these transformations associated with large inverse consistency errors. The estimated transformations are regularized thanks to a thin-plate spline (TPS) model.
Calculates the fractal dimensionality of a 3D structure. calcFD is designed to work with intermediate files from FreeSurfer analysis pipeline, but can also use other volumes. The toolbox includes options to use different masking files and is implemented to use either the box-counting or dilation algorithms and to use either the filled volume or just the surface of the structure. The toolbox can easily be run on all of the participants in a FreeSurfer subject folder, or just on specified subject folders. The Matlab toolbox also includes several functions designed to improve functionality, such as the automatic ‘cropping’ of the volume space to the smallest bounding box necessary to contain the volume, improving computation time drastically. Example files are also provided to aid in using the toolbox for the user‘s needs.
A plugin for bone image analysis in ImageJ. BoneJ provides free, open source tools for trabecular geometry and whole bone shape analysis. It calculates several trabecular, cross-sectional and particulate parameters in a convenient format. Java technology allows BoneJ to run on commodity computers, independent of scanner devices, fully utilising hardware resources. ImageJ’s plugin infrastructure provides a flexible working environment that can be tailored to diverse experimental setups. BoneJ is a working program and a starting point for further development, which will be directed by users’ requests and the emergence of new techniques.
Automates regional behavioral analysis of human brain images. Mango provides analysis tools and a user interface to navigate image volumes. The tool is ease to use, multi-platform Java application and extensive region of interest tools. It has the ability to add and update software as a plugin module and offers full access to a suite of image viewing and processing features. The software is able to rapidly determine regionally specific behaviors for researchers’ brain studies.
Displays and analyzes multimodality volumetric medical images. AMIDE provides the research community with a relatively full-featured, freely available, and open source solution for single and multimodality volumetric medical image analysis. It provides a variety of additional features useful to the molecular imaging researcher, including fully three dimensional ROI drawing and analysis for static and dynamic images, two and three way linked viewing (dual cursor mode), rigid body registration using fiducial markers, filtering and cropping of data sets, movie generation, series viewing, and volume rendering.
Allows detailed investigation and evaluation of multidimensional biomedical images. AnalyzePro can serve for magnetic resonance imaging, radionuclide emission tomography, ultrasound tomography, and 3-D imaging modalities based on x-ray computed tomography. It contains features for interactive display, manipulation and measurement of multidimensional image data.
Identifies and describes lung nodule. TumorNet is based on an end-to-end trainable multi-view deep convolutional neural network (CNN) for the nodule characterization. This network can extract features from the input image and exploits a Gaussian Process (GP) regression to generate a malignancy score. This software performs median intensity projection to combine three different views from an image and uses a concatenation in a tensor form of a single image with three channels.
Detects a set of stable features from radiomics big data. SSSuperPCA is a program able to study radiomics data, and apply it to two real radiomics data sets. This tool integrates stability selection with supervised principal component analysis for right-censored survival data. It can serve for identifying the informative features from a large set of quantitative features extracted from biomedical images.
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.
Allows to realize analysis and visualisation of 3D biological image data, and more particularly traced neurons. NAT accepts 3D images in NRRD and 'Amira' AmiraMesh formats. The data can be manipulated and visualized in 3D. The manipulation includes applying calculated registrations, e.g. using the 'CMTK' registration suite. This tool permits morphological comparison between neurons including clustering and searching.
Provides a software environment for comprehensively processing 3D image data (MRI, CT, micro-CT, FIB-SEM…). Simpleware ScanIP offers powerful image visualisation, analysis, segmentation, and quantification tools. It includes video recording features and options to export surface models/meshes from segmented data for CAD and 3D printing. Additional modules are available for exporting CAE meshes, integrating image data and CAD, exporting NURBS and calculating effective material properties from scans.
Serves for three-dimensional design and modelling. Materialise Mimics is an image processing software that can be used for creating 3D surface models from stacks of 2D image data. It can calculate surface 3D models from stacked image data. This tool is useful to represent the patient’s anatomy in a virtual 3D model and to increase the quality patient care.
Serves for visualizing electron tomography data. Tomviz can utilize the large quantities of memory and processing resources required to render, manipulate, and analyze voluminous 3D tomograms. It provides a graphical user interface (GUI) where objects can be rendered as shaded contours or volumetric projections. This tool also offers a set of functions such as multiple datasets, colormaps, and other visualization settings.
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 visualize, manipulate, and understand data from imaging modalities such as computed tomography, microscopy or Magnetic resonance imaging (MRI). Amira 3D Software for Life Sciences provides features to import and process 2D and 3D images data, visualization techniques and tools for visual analysis. Users can also create and share presentations. The base product can be customized by adding functional extensions to fit special needs in different application areas.
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