The SOLID, FLOW and LAPLACE add-on modules can be used to calculate effective material properties from scanned samples using homogenisation techniques.

[5] Simpleware ScanIP generates high-quality 3D models from image data suitable for a wide range of design and simulation applications related to life sciences.

Image data from sources like MRI and CT can be visualised, analysed, segmented and quantified, before being exported as CAD, CAE and 3D printing models.

Options are also available for integrating CAD and image data, enabling medical device research to be conducted into how CAD-designed implants interact with the human body.

[13] Other application areas for models created within Simpleware's software environment include simulating transcranial direct current stimulation,[14] and testing electrode placements for treating epilepsy.

It has 510(k) market clearance from the U.S. Food and Drug Administration (FDA) as a Class II Medical Device,[18] as well as CE marking and ISO 13485 certifications.

[24] Simpleware ScanIP has extensive applications in different materials sciences and manufacturing workflows where researchers investigate the properties of scanned samples.

Scans of composites and other samples can be visualised and processed in ScanIP, enabling multiple phases and porous networks to be explored and analysed.

Processed data can be exported using the FE module as volume meshes for FEA and CFD in solvers, allowing for insights into fluid-structure-analysis and other geomechanical properties.

Scanned image data can be easily processed to identify regions of interest, measure defects, quantify statistics such as porosity, and generate CAD and CAE models.

Scans of objects can be visualised and processed in ScanIP to learn more about their original design, and exported as FE and CFD models for simulation of physical properties.

[34] Other applications include being able to reverse engineer consumer products in order to analyse their properties,[35] or study how they interact with the human body without the need for invasive testing.

Files created using ScanIP feature guaranteed watertight triangulations and correct norms, as well as options for volume and topology preserving smoothing.

[39] ScanIP was used to generate STL files of a man's kidney to help visualize options before a minor procedure at Southampton General Hospital.

In this specific release, we focus on heart segmentation from CT including blood pool cavities, selected muscle tissue as well as common key landmarks such as the right ventricle, tricuspid valve, and the atrial appendages.

Autosurface algorithms provide a straightforward route from image data to CAD-ready NURBS models, with options available for contour and curvature detection.