“We use Simpleware as our image processing software. The software is able to create extremely detailed and accurate 3D models of the knee from CT scans, which are used as inputs to our simulation and design of the patient-specific guides.”
Willy Theodore | 360 Knee Systems
“The Simpleware model reconstruction provides an essential solution to assess the usability of an AM produced part. The effect of a defect or geometry deviation in a critical location can be quantified. Based on a comparison to the nominal CAD geometry the impact on structural integrity and fatigue life can be evaluated. This workflow provides a key solution to determine the disposition of an AM produced part with deviations from the nominal design.”
Paul Badding | Moog, Inc.
“Simpleware ScanIP from Synopsys enabled us to analyze the complexity of the 11T dipole coils at multiple scales using 2D images from optical and scanning electron microscope images. The superconducting cables of the dipole coils have inherent deformations within them that are very difficult to reproduce using CAD models. ScanIP allowed us to visualize and capture these realistic geometries to reproduce with greater accuracy and reproducibility the permanent deformation of the coils. Once the geometries were segmented, we used the FE module from Simpleware software to produce realistic 2D finite element models to obtain stress and strain distributions within microscopic elements from forces originating from global stresses applied to the coil.”
Michael Daly | CERN
“We’ve done a good amount of testing…Simpleware, I’d say by far, produces the highest-quality STLs we’ve found in any software…all the tools are very similar...the export of the STLs and the quality of the meshes – they’re always watertight…they’re always really accurate. If you take your models and load them back against the data, you’ll see that it’s perfect.
For the meshes, this is again where Simpleware really stands out. With the export of the STLs, we’ve done a lot of testing, from open-source packages which really shouldn’t be used outside of a clinical setting but we’ve used for testing, up to really high-priced common industry software that you’d find in a hospital. Compared to these, Simpleware models are truly exceptional for their quality, their watertightness… they really are just great.”
Brent Chanin | Mediprint US
“Due to their digital nature these tasks (Petrophysics Characterisation) could be conducted in fractions of the cost and time and also from rock materials generally non suitable for conventional lab testing like drill cuttings...increasing spatial sampling and reservoir properties data quantity. Such capacity could effectively enhance our ability to deliver faster and more information to exploration and production managers.”
Carlos Santos | Repsol S.A.
“ScanIP was a huge help as it was a tool that allowed us not only to visualize our bench top sample results but also to extract quantitative data that would have otherwise been impossible to investigate.”
Jonathan Brown | MIT, Harvard Medical School
“The in-built homogenization tools have proven particularly useful for several projects and it’s now quite clear that Simpleware ScanIP and its associated modules are integral to the simulation solutions that we offer to our clients, through their enhancement of our understanding of the problems we’re tackling.”
James Dean | Double Precision Consultancy; University of Cambridge
“Utilizing Simpleware’s lattice generation tools, Footprint 3D is able to quickly and cleanly create lattice structures from original CAD files.”
Matthew Flail | Footprint 3D
“We found a significant correlation between component orientation and polyethylene damage; varus angulations were strongly associated with thinner medial compartments, whilst valgus angulations were associated with thinner lateral compartments.
Our study is the first to compare accurate 3D-CT measurements of pre-revision implant positioning with post-revision retrieval analysis from an innovative, accurate and reliable micro-CT based method, made possible using Simpleware ScanIP 3D reconstruction capabilities.”
Harry Hothi | University College London
“The CT scan gets our component from the real to the digital world. Then Synopsys Simpleware is a key stage in the workflow to get from our 3D X-ray images to ultra-high resolution engineering simulations.
I started using Synopsys Simpleware as a PhD student at The University of Manchester's School of Materials in The University of Manchester almost 10 years ago now! It’s been great to see how it’s developed over time, I’m impressed how each year new features are added which increase its usefulness.
We found a small region of debonding that kept occurring in the heat exchange component. By creating an image-based model with Simpleware software we were able to quantify its impact on performance and optimise use of the component.”
Llion Evans | Swansea University
“ScanIP has been instrumental in our efforts to understand AF and better treat this arrhythmia. Due to the help from ScanIP, we published 2 papers, presented 6 conference abstracts, applied for a patent, and started a clinical trial called SIMPLE-AF. In our clinical trial, we identify the critical regions that sustain AF based on our finite-element meshes generated from ScanIP and apply a novel ablation strategy to eliminate the minimum amount of tissue needed to interrupt the arrhythmia. So far, we were able to successfully terminate AF in every patient we enrolled.”
Matt Fisher | North Carolina State University
“The importance of Synopsys Simpleware™ in the workflow is to provide a straightforward one-step conversion of microstructure data, from images to meshes. In addition, the software handles well the complex nature of our microstructure data, and is able to produce the meshes in high-throughput fashion, via Python API scripting.”
Tim Hsu | Carnegie Mellon University
“Our students are very much indebted to training on Simpleware and simulation tools, and advice on how to use it. I would like to eventually model the whole human body, as Dr. Nishida mentioned earlier, so it would be excellent if you can automate as much as possible on the software side.”
Junji Ohgi | Yamaguchi University