Development of medical imaging software solutions for our clients
We deliver custom breakthrough medical imaging software which extracts value from medical images, including:
- Automated segmentation / annotation / contouring
- Image enhancement and 3d modelling
- Deep analysis and Radiomics
- Simulation modelling
- Visualisation and rapid sharing of images
employing deep learning AI models alongside other state-of-the-art technology.
Quality Management System
- We are a company that has been developing medical imaging software for 15 years and for the last 5 years we have also been providing CE and FDA compliant solutions. Therefore, we understand how important it is in the medical industry to develop software that complies with standards of efficiency, quality, safety and effectiveness.
- We work in accordance with the Quality Management System. We meet the ISO 13485 standard, as confirmed by the Certificate for the Management System according to ISO 13485: 2016. We have ability to create software compliant with ISO 14971 and IEC 62304 standards.
- The implementation of medical projects requires securing the data provided by the client. Therefore we have implemented ISO/IEC 27001.
Learn more about our
Quality Management System
Software as a Medical Device
Medical device industry
We create certification-ready solutions to help organisations launch their own medical devices, treatments or software, rather than directly to the medical profession.
We strive for delivery and technical excellence, but also highly value the human relationships we develop with clients, partners, and colleagues.
We believe in the power of technology to transform society for the better and have chosen to work in the medical area where it can have a great impact. We are passionate about harnessing new science and technology to do this.
Learn more about
how we work
Medical imaging software to meet all needs
Where medical imaging is part of your plans, either as part of solutions for your clients, or to help with proving the efficacy of your interventions, we can help.
Clients about us
“They are very good for medical devices.
They follow best standards.”
- For companies addressing a particular medical need, we tend to provide most of the solution, including support for the documentation requirements of the certification process.
- For companies offering a wide range of medical imaging solutions, we tend to provide state of the art machine learning solutions in specific areas to complement their existing solutions.
- For pharmaceutical companies we provide solutions to help demonstrate the efficacy of interventions as efficiently as possible.
- For all organisations at the feasibility stage, to develop and test the efficacy of algorithms.
We work with client organisations across Europe and North America.
Case studies
How we work with clients
- We have been undertaking remote work for clients for over 20 years and have refined ways of working that provide clarity, transparency, and opportunities for both parties to contribute to project success.
- We believe that building personal relationships is a key to this success. These range from formal governance meetings, through to ad hoc discussions about project details.
- We make extensive use of technology to encourage frequent communication, through various instant messaging, videoconferencing, and shared project communication tools.
- We enjoy meeting our clients face to face, whether at your offices or ours, and look forward to a time when we can all feel comfortable in doing this again.
Segmentation of the thoracic aorta in contrast enhanced CT images
We developed an AI algorithms for the segmentation of thoracic aorta on contrast enhanced cardiac CT images.
Research: Pelvic bones fracture examination based on CT scans
Graylight Imaging specialists focused on developing of an algorithm for pelvis bone classification and segmentation. Using U-net-like architecture, we distinguish the pelvic bones and their fractures.
PET/CT in lung cancer analysis assisted with radiomic-based features
Improving lung cancer diagnosis from medical image data is a key factor of the screening process. We conducted a study using radiomic features elaborated from the image which could correlate with patient’s clinical parameters.
Research study: delineating high-uptake lung lesions from CT scans
We designed a convolutional neural network (CNN) architecture (with just two convolutional layers and a fully-connected classifier) operating on 3D patches, capturing several neighboring frames from of an input CT image frame.
Hollowing, i.e. Precise Geometry Preparation for 3D Print
We created an iterative algorithm resistant to most problems experienced in practice in precise geometry preparation for 3D Print.
Blender – facilitation the segmentation of coronary vessels
Blender plugin we created for inspecting coronary vessels in MPR and CPR views that facilitates the segmentation from CT significantly.
Latest news
From our blog
Discover the latest technology news and opinions with IT professionals from the Graylight Imaging. Read more about Machine Learning algorithms, medical imaging software development standards, deep analysis and simulation modelling.
DICOM to STL? Patient-specific printable 3D models
Additive manufacturing and 3D modelling have significant and increasing value in patient-specific surgery planning and medical education.
Multi-class brain tumor segmentation and volumetric measurements
Tumor burden assessment by magnetic resonance imaging (MRI) is crucial to the evaluation of glioblastoma treatment response.
BioTechX – our brain tumor segmentation algorithm
The largest european conference on diagnostics, precision medicine, and digital revolution in drug development and healthcare – BioTechX – is starting tomorrow in Basel.
