Synopsys Simpleware 2025.06

Synopsys Simpleware 2025.06

Synopsys Simpleware 2025.06 is an advanced 3D image processing and model generation platform that converts 3D imaging data (CT, MRI, micro-CT, FIB-SEM) into high-quality computational models suitable for simulation, 3D printing, and analysis. Unlike traditional CAD software, Simpleware works directly with volumetric image data, enabling the creation of accurate, image-based models that preserve the intricate details captured in scans. It bridges the gap between imaging and engineering applications.

Primary Users

Simpleware serves professionals working with 3D imaging data:

• Biomedical Engineers creating patient-specific anatomical models from medical scans

• Materials Scientists analyzing microstructure from micro-CT and SEM images

• Industrial CT Analysts performing failure analysis and quality control

• Additive Manufacturing Engineers preparing scan data for 3D printing

• Geoscientists analyzing rock cores and porous media

• Academic Researchers in imaging, computational modeling, and digital materials

Key Features & Capabilities

Core Image Processing

• Multi-modal Registration: Align and fuse CT, MRI, micro-CT, and other imaging modalities

• Segmentation Tools: AI-assisted, manual, and threshold-based segmentation

• Filtering & Enhancement: Noise reduction, edge enhancement, and artifact correction

• 3D Visualization: Real-time volume rendering and multi-planar reconstruction

Model Generation & Meshing

• Surface Mesh Generation: High-quality STL generation with adaptive smoothing

• Volume Mesh Generation: FE-ready meshes (tetrahedral, hexahedral, polyhedral)

• CAD Integration: NURBS surface fitting and CAD model integration with scan data

• Model Cleanup: Automated hole filling, smoothing, and defect correction

Specialized Modules

• +FE: Finite element mesh generation for ANSYS, ABAQUS, COMSOL, etc.

• +CAD: CAD-based model creation and reverse engineering

• +NURBS: Advanced surface reconstruction

• +PHYSICS: Material assignment and simulation setup

• +SCANIP: Core image processing and segmentation

What’s New in 2025.06

AI & Machine Learning Enhancements

1. Simpleware AI Studio: End-to-end AI platform for training custom segmentation models without coding

2. Generative Model Completion: AI predicts and reconstructs missing scan data (damaged samples, low resolution)

3. Smart Segmentation Assistant: Context-aware AI suggests segmentation strategies based on image characteristics

4. Anomaly Detection AI: Automatic detection of defects, cracks, and abnormalities in industrial scans

Advanced Imaging & Processing

5. Quantum Imaging Integration: Support for emerging quantum-enhanced imaging modalities

6. 4D Spatio-Temporal Analysis: Enhanced tools for time-series and dynamic imaging studies

7. Sub-voxel Precision: Algorithms for feature detection below the nominal voxel size

8. Multi-spectral CT: Advanced processing for spectral CT and material decomposition

Workflow & Integration

9. Digital Twin Connect: Live integration with IoT and sensor data for dynamic model updating

10. Cloud-Native Processing: Full SaaS option with browser-based interface and cloud HPC

11. Extended Reality (XR) Export: Direct export to VR/AR environments for immersive review

12. Automated Reporting: AI-generated analysis reports with statistical summaries

Performance & Scalability

13. GPU-Accelerated Everything: NVIDIA CUDA acceleration for all major algorithms (5-10x speedup)

14. Distributed Processing: Scale to thousands of cores for batch processing large datasets

15. Smart Caching: Predictive caching of intermediate results for interactive workflows

16. Enhanced Large Data: Support for datasets exceeding 1 TB in size

🖥️ System Requirements

Windows (Primary Platform)

Minimum Requirements:

• OS: Windows 10 Pro/Enterprise 64-bit (22H2) or Windows 11 Pro

• CPU: Intel Core i7-12700 or AMD Ryzen 7 7700X (12 cores minimum)

• RAM: 64 GB (128 GB recommended for large volumetric data)

• GPU: NVIDIA RTX A4000 (16 GB VRAM) or RTX 4070 Ti

• Storage: 100 GB NVMe SSD + 2 TB for image datasets

• Display: 3840×2160 (4K) recommended for detailed visualization

Recommended Configuration:

• OS: Windows 11 Pro for Workstations

• CPU: Intel Xeon w9-3495X or AMD Ryzen Threadripper PRO 7995WX (64+ cores)

• RAM: 256-512 GB DDR5 (1 TB for massive micro-CT datasets)

• GPU: NVIDIA RTX 6000 Ada (48 GB VRAM) or dual A6000

• Storage: 2 TB NVMe Gen5 (OS/Software) + 20 TB NVMe (Data storage)

• Network: 25 GbE for data transfer and cloud connectivity