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Deep Resolve

Deep Resolve

Faster than ever before

MR - Deep Resolve - Webinar Promotion

Our deep learning reconstruction technology Deep Resolve allows users to accelerate MR scans, making them faster than ever before. In our webcast “Boost your MRI productivity with Deep Resolve", Saif Afat, M.D. from University Clinic Tuebingen, Germany and John Conklin, M.D. from MGH, USA shared their experience on how Deep Resolve boosts workflow efficiency while improving the patient care.


Deep Resolve1 is an AI-powered image reconstruction technology that takes advantage of convolutional neural networks that accelerate MR scans, making them faster than ever before. Faster scans boost workflow efficiency while improving the patient experience. Deep Resolve’s raw data-to-image reconstruction and very fast acquisition are game changers in MRI, helping generate actionable insights that can be diagnostically relevant. An open interface2 is designed to encourage collaboration and co-creation in a secure digital environment. Deep Resolve technology is taking one more step towards building a healthier world for everyone.

Features & Benefits

Shaping next gen AI

Shaping next gen AI

AI-based image reconstruction is the next chapter in the digital future of magnetic resonance imaging. With Deep Resolve technologies, Siemens Healthineers applies AI to image acquisition and uses deep learning for accelerated image reconstruction. With a convolutional neural network at its core, it can radically shorten acquisition time without compromising image resolution. We have a solid foundation of state-of-the-art med-tech and curated data from an international network and continue to drive the digitalization of healthcare and improve the patient experience by securely developing AI-powered solutions in MRI.

Keyvisual sharper images faster

Acquiring sharper images, faster

Targeted denoising and deep learning methods power Deep Resolve Gain and Deep Resolve Sharp technologies for sharper images acquired in faster scans. Deep Resolve Sharp generates a high-resolution image from low-resolution input. By including raw data in the reconstruction process, clinically robust results are achieved that, in combination with Deep Resolve Gain targeted denoising, outperform classical denoising and interpolation. Deep Resolve Boost1 is our first raw data-to-image deep learning reconstruction technology that enables high SNR and radically accelerated image acquisition. Deep Resolve Swift Brain1 neuro acquisition employs a multi-shot echo planar imaging (EPI) approach that achieves all relevant contrasts in just one go, enabling a total neuro exam in two minutes.

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Neurology04
MSK02
Spine01
Body MRI01
Deep Resolve boost & Sharp
Deep Resolve boost & Sharp
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deep Resolve Gain & Sharp
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Deep Resolve Boost and Sharp
deep resolve sharp
deep resolve boost & sharp
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Partnering for innovation

Partnering for innovation

Digital innovation in healthcare requires open minds and an open space for fresh approaches to challenges. Deep Resolve has a developer-friendly open digital interface2 for co-creation and knowledge exchange with partners. For example, our partnership with Subtle Medical helps us further enhance and streamline workflows in our MR scanners. Standardized communication protocols make it easy to collaborate and cooperate for innovation and translation into clinical practice. As a trusted technology leader, Siemens Healthineers drives the digitalization of MR imaging by providing a future-proof, secure platform for innovation.

Clinical Use

Find out how Deep Resolve impacts the MRI workflow and patient care at Mendrisio Regional Hospital in Switzerland. Prof. Philippo Del Grande, MD and Sara Chiga share their experiences with the AI technology in further depths.

Articles and talks

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Innovation Talk RSNA 2020

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Further information about Deep Resolve in the MAGNETOM World

1

Deep Resolve is pending 510(k) clearance, and is not yet commercially available in the United States. Its future availability cannot

be guaranteed.

2

The product is still under development and not commercially available yet. Its future availability cannot be ensured.