Accelerate Material Development - Without the Wait

Are you working with 3D image processing and need reliable, repeatable results? This GeoApp allows you to generate artificial µCT images directly from GeoDict models, opening up new possibilities for material development, validation, optimization, and Artificial Intelligence training.

Traditional µCT scanning can be time-consuming and expensive. This GeoApp provides a “fast” alternative by eliminating the need for sinogram reconstruction and raytracing. This enables rapid parameter studies and efficient workflow development.  You can create a CT scan of a 1000³ model in just 5 minutes!

Limited access to suitable µCT data can slow down material development, image analysis, and AI workflows. Acquiring scans takes time and makes it difficult to systematically explore different microstructures, resolutions, and imaging conditions. This GeoApp removes this bottleneck with on-demand, customizable artificial CT data – helping you accelerate development, explore more variations, and get to results faster.

The GeoApp “Generate Artificial CT Images“ delivers a scalable, controllable data resource, turning a major challenge into a competitive advantage.

• Accelerate AI Development: Rapidly prototype, test, and iterate without waiting for new scans. Build tailored datasets and focus on developing your application.
• Explore More Microstructures: Turn virtual material models into artificial CT images and investigate structural variations without manufacturing and scanning every sample.
• Validate Image Analysis: Generate controlled datasets with known microstructures to benchmark segmentation, reconstruction, and image-processing workflows.
• Fuel Innovation with Scale: Create statistically meaningful datasets tailored to your specific needs, enabling faster model training and improved accuracy.
• Bridge Simulation and Experiment: Connect virtual microstructure development with CT-based workflows and explore new material concepts earlier in the development process.

• Fast Generation: Create artificial µCT images quickly, reducing dependency on physical scanning 
• Validation & Optimization: Compare artificial images with known microstructures to validate image filters and find optimal parameters 
• Ground Truth for AI: Use GeoDict models as ground truth for training and benchmarking AI-based image analysis
• Quality Control: Ensure the reliability and reproducibility of your 3D image processing workflows 
• Workflow Optimization: Identify efficient workflows and optimal post-processing parameters for scanned structures 
• From Model to Scan: Generate artificial 3D CT scans from your GeoDict models. Bridge virtual material models and CT-based analysis – even using segmented real µCT data as a starting point.

• Researchers developing new image processing algorithms
• Engineers optimizing µCT and image-processing workflows
• Data scientists training and validating AI models
• Material scientists developing and analyzing complex microstructures
• R&D Teams: Accelerate material development without waiting for new scans.
• Materials Companies: Explore more microstructures and shorten development cycles.
• CT & Imaging Teams: Build controlled datasets to validate and optimize analysis workflows.
• AI Teams: Scale training data with customizable artificial µCT images and known ground truth