Siemens Healthineers Accelerates and Improves Magnetic Resonance Imaging with AI

Siemens HealthineersSiemens Healthineers presents functionalities powered by Artificial Intelligence (AI) that accelerate and improve Magnetic Resonance Imaging (MRI). The quality of MR imaging is defined by the trade-off between scan time, resolution and image noise. Improving one of these pillars usually requires compromising on one of the others. Deep Resolve, a deep learning solution for image reconstruction, can eliminate this dilemma. It enables clinicians to choose a significantly faster scan time while reducing noise and keeping the same resolution or even increasing image quality. Deep Resolve does not merely improve the final diagnostic image but starts at an even earlier stage: It works with the scanner's raw data to use AI algorithms to improve the image from the first steps of image reconstruction.

Speeding up scan time is especially valuable for patients who feel uncomfortable in MRI scanners, which is often the case for children, for example. Deep Resolve has great potential to shorten scan times by hooking into the very first step of image creation with all the available raw data. The Deep Resolve algorithms can therefore speed up scan times for brain MRI by up to 70 percent while doubling the resolution.(1) Adding Siemens Healthineers' unique Simultaneous Multi-Slice (SMS) technology can accelerate scan time further, by up to 80 percent.(1)

"We enable our customers to use their scanners in ways we have not seen before," says Arthur Kaindl, Head of Magnetic Resonance at Siemens Healthineers. "Knee imaging in MRI usually takes about ten minutes on a 3 Tesla system.(1) Using Deep Resolve algorithms, we got that time down to under two minutes - with the same image quality and diagnostic value."

Dr. Saif Afat, MD from University Clinic Tuebingen, Germany, adds: "It really is quite striking to see the impact of Deep Resolve on clinical MR imaging in so many different areas. Let us take prostate imaging as an example: We are going from 10:21 minutes for the T2 TSE in all three orientations with conventional reconstruction to just 03:50 minutes with Deep Resolve. And the image quality is the same or even superior. To me that is the new upcoming indispensable technology for my clinical routine."

Deep Resolve is not limited to a particular region of the body and thus can help in almost every diagnostic procedure using MRI. It consists of different algorithms that can be combined. Deep Resolve was trained with thousands of curated data pairs by comparing data from unaccelerated and accelerated scans, as well as image pairs with higher and lower resolution. Throughout the reconstruction process, the system performs an automatic mandatory data consistency check to ensure the diagnostic value and quality of the image. The technology was first introduced in 2020. Deep Resolve will be rolled out to cover the entire MRI portfolio.

Deep Resolve uses individual noise maps for every scan. These help the algorithm to identify areas in the final image that might be strongly affected by noise, and to denoise the image with high precision. As a result, an image with greatly reduced noise can be generated in the same scan time.

About Siemens Healthineers

Siemens Healthineers AG (listed in Frankfurt, Germany: SHL) pioneers breakthroughs in healthcare. For everyone. Everywhere. As a leading medical technology company headquartered in Erlangen, Germany, Siemens Healthineers and its regional companies is continuously developing its product and service portfolio, with AI-supported applications and digital offerings that play an increasingly important role in the next generation of medical technology. These new applications will enhance the company's foundation in in-vitro diagnostics, image-guided therapy, in-vivo diagnostics, and innovative cancer care. Siemens Healthineers also provides a range of services and solutions to enhance healthcare providers' ability to provide high-quality, efficient care. In fiscal 2021, which ended on September 30, 2021, Siemens Healthineers, which has approximately 66,000 employees worldwide, generated revenue of €18.0 billion and adjusted EBIT of €3.1 billion.

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Model Converts Hospital Records into …

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of complex patient histories...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Forging a Novel Therapeutic Path for Pat…

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by...

Mayo Clinic's AI Tool Identifies 9 …

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single...

AI Detects Fatty Liver Disease with Ches…

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications...

AI Matches Doctors in Mapping Lung Tumor…

In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing healthy tissue...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...