Tools

By default, these tools (implemented in modules) are shipped with open_iA:

• 4DCT - analyzing the evolution of damage in a time series of CT datasets
• AI - allows execution of ONNX networks using ONNX runtime
• CoSi - visual comparison of similarities in high-dimensional data ensembles
• DreamCaster - optimiziation of specimen placement
• Dynamic Volume Lines - interactive visual analysis of sets of 3D volumes.
• FeatureAnalyzer - analyze parameter space of feature characterization pipelines
• FeatureScout (formerly known as FiberScout) - analyzing feature (=object) characteristics
• Free Slice Plane - plane that can be rotated, moved and shifted freely for slicing volume datasets and cutting any dataset
• FIAKER - analyze and compare results of (iterative) fiber reconstruction algorithms
• FuzzyFeatureTracking - track the development of damage in a time series of CT datasets
• GEMSe - analyze the parameter space of multi-modal image segmentation algorithms
• ImNDT - analyze feature (=object) characteristics in an immersive environment in VR
• InSpectr - visualize combination of CT with spectral datasets
• Labelling - tools for annotating points in an image and creating (partial) label masks
• Metrics - tools/filters for measuring image quality (reference and no-reference measures)
• MObjects - mean object over multiple e.g. pores
• Multi-Modal Transfer Functions - defining transfer functions and weightings for blending two to three modalities for interactively comparing the modalities
• PorosityAnalyzer - analyze parameter and result space of porosity computation pipelines.
• Remote - remote rendering module, enabling clients to connect to an analysis in open_iA.
• Uncertainty - tools for analyzing segmentation uncertainty
• XVRA - cross-virtuality analysis of rich X-ray computed tomography data

Test datasets for most of these tools are included in our test datasets. You can extend open_iA by developing your own modules.