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axial3D announces new research collaboration

Announcement

01 February 2018

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axial3D is delighted to announce its participation in a new research project funded through the FUSION Programme on Deep Learning and Neural Networks for medical visualization applications. The project will be carried out at axial3D in collaboration with InterTrade Ireland and University College Dublin.

The Background
Deep learning algorithms are the culmination of many years of active research from a diverse community of scientists, academic researchers and software developers. These developments are at the core of many emerging technologies such as self-driving cars, chat bots and the intelligent personal assistants (such as Amazon Alexa, Google Home).

Magnetic Resonance Imaging (MRI) is a non-invasive technology that allows imaging of soft tissues such as the heart, allowing medical professionals to view, understand and identify abnormalities such as trauma, general damage, necrosis, presence of cancer, among many other clinical applications.

Being based on the magnetic properties of the various materials and tissues within the body and using only low frequency non-ionising radiation, MRI has the advantage over conventional CT and X-Ray of being completely safe to use and with no known side effects to the human body. MRI can be carried out routinely on patients to monitor the progress of a treatment with no concerns of radiation dosages and potential side effects. The great details and quality of images obtained through MRI provides a great insight on the pathology and conditions of the tissues and enables surgical staff to make an inform decision on the necessity of surgical intervention as well as aiding in the surgery preoperative planning.

Image of MRI scan

The Project
This Project applies this exciting technology to the analysis and understanding of the structures of the human anatomy based on medical imaging, and interfacing that data with 3D printing. Building on axial3D’s work on algorithm development for 3D printing, a new set of bespoke algorithms, specifically designed for cardiac analysis and interpretation, will be created from ground-truth data to run within the axial3D ecosystem.

The project is in collaboration with the UCD Institute of Discovery which is also known as the Interdisciplinary Incubator, ensuring access to some of the brightest talent, and innovative technology in Ireland. Prof Kathleen Curran from the School of Medicine will be working with axial3D, bringing her wealth of experience in medical image analysis.

Lorenzo Trojan, Machine Learning Lead, axiakl3D said “We are extremely pleased of having been given the opportunity to work on this project with UCD. Within the scope of this project, a young and talented graduate will have the opportunity to work with our software development team, contribute to exciting our research. To achieve excellence, it is essential to encourage our own staff my creating a stimulating and ambitious work environment as well as work on establishing a strong and health dialogue between the private sector and Academia.”

Daniel Crawford, Founder & CEO, axial3D added “We believe the FUSION Programme, similar in spirit to our previous project on Knowledge Transfer Grant that axial3D had previously secured, is a testimony of our strong emphasis on excellence and quality. We are excited about the research outcomes and look forward to bringing that to the market to drive improved ease of 3D printing for healthcare providers globally.” axial3D is using the most advanced, and cutting-edge technology to drive research in the medical imaging and 3D printing, taking advantage of the latest discoveries to provide access to automated medical 3D printing.

Contact the team to learn more about our Machine Learning work and opportunities to collaborate with us
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axial3D is using the most advanced, and cutting-edge technology to drive research in the medical imaging and 3D printing, taking advantage of the latest discoveries to provide access to automated medical 3D printing.