07.11.2024
The Fraunhofer Institute for Digital Medicine MEVIS, the University Medical Center Freiburg and Stryker Leibinger GmbH have received an award for their work on a finite element simulation for individual therapy planning for knee injuries. This innovative method enables personalized planning of cruciate ligament operations and could prevent long-term follow-up problems such as osteoarthritis.31.10.2024
The diagnosis and assessment of lung diseases often presents medical professionals with major challenges. Traditional methods such as computed tomography (CT) offer detailed structural images of the lungs, but involve radiation exposure for patients and provide no information on regional lung function.17.09.2024
Real-time medical monitoring using modern sensors is fundamentally changing patient care. With the ability to continuously and precisely measure vital signs, these technologies enable close monitoring and contribute to the early detection of health problems.25.07.2024
A research team has received approximately one million US dollars from the US National Institutes of Health (NIH) to develop an AI-based method for three-dimensional measurement of the choroid plexus in human brain scans. This project aims to enhance our understanding of these structures, which play a crucial role in brain and spinal cord function.10.07.2024
Researchers at the Max Planck Institute for Biological Cybernetics have developed a new method for cost-efficient medical imaging. This method combines low-field magnetic resonance imaging (MRI) with hyperpolarization and artificial intelligence to improve image quality.03.07.2024
Hannover Medical School (MHH) is leading the RACOON-RESCUE project, which aims to open up new diagnostic possibilities for non-Hodgkin's lymphomas in children and adolescents with the help of automated image data analysis from CT and MRI. The project, led by Prof. Diane Renz, aims to determine disease stages more precisely and optimize therapy follow-up.17.06.2024
MRI scans, a crucial diagnostic tool for conditions ranging from liver disease to brain tumors, require patients to remain completely still to avoid blurring the images. A new self-powered sensor could revolutionize this process by detecting patient movement in real time and stopping the MRI scan to prevent motion artifacts.30.04.2024
MRI-integrated proton therapy (MRiPT) marks a significant advance in cancer treatment by increasing the precision of radiation treatment. In an interview with MEDICA.de, Prof. Aswin Hoffmann presents current technological challenges and highlights the potential benefits of real-time MRI imaging for proton therapy.12.04.2024
A new medical technique utilizing magnet-guided microrobots for treating liver tumors has been developed by a Canadian research team, offering a potential new approach in oncology.22.02.2024
Floy from Munich brings AI in imaging into practical application and is already present in numerous German radiology practices. The start-up's software is designed to support radiologists in diagnostics and prevention by reliably detecting critical incidental findings.15.12.2023
Researchers at Linköping University have examined the brains of 16 patients previously hospitalised for COVID-19 with persisting symptoms. They have found differences in brain tissue structure between patients with persisting symptoms after COVID-19 and healthy people.13.12.2023
MHH project investigates differences in neurological symptoms between multiple sclerosis and the rare Sjögren's syndrome.13.12.2023
The use of AI makes it possible for women with a high risk of breast cancer to be identified in mammography screening examinations so that the cancer can be caught earlier. An international research group led from Karolinska Institutet in Sweden can now show that the method is effective in different European countries.06.12.2023
The start-up relios.vision GmbH has developed the SmartContrast software. Using artificial intelligence, it can reduce the dose of contrast agent used in MRI examinations of the brain by two thirds.27.11.2023
Imaging techniques such as computed tomography (CT) or positron emission tomography (PET) are indispensable today for the diagnosis and localization of many diseases. A newly developed procedure now enables PET to be used specifically on the basis of changes in the human genome.08.11.2023
A team of researchers from Kaiserslautern and Leipzig is working on a system that automatically analyses and visualises medical data, including their uncertainties.31.10.2023
With novel technology and the integration of artificial intelligence, a new MRI scanner promises to significantly improve medical imaging. The scanner is characterized by its high performance and enables a more precise analysis of image data by means of an AI functionality.20.10.2023
In certain cases, a new method can provide as much information from brain images taken with computed tomography (CT) as images captured with magnetic resonance imaging (MRI).14.09.2023
Dr. Anne Hilgendorff’s team from Helmholtz Munich and the LMU University Hospital developed a non-invasive method with no need for sedation using MR imaging to detect early signs of vascular disease associated with chronic pulmonary impairment in premature infants, offering new avenues for risk stratification and potential prevention of complications later in life.21.08.2023
Using a novel approach of precision neuroimaging and high-resolution functional magnetic resonance imaging (fMRI), neuroscientists and physicists at MPI CBS in Leipzig (Germany) and anatomist Menno Witter from the Kavli Institute for Systems Neuroscience in Trondheim (Norway) have now ventured into the depths of the human memory system.18.08.2023
New UBC Okanagan research takes aim at improving diagnostic imaging17.08.2023
Researchers discovered that the consistency of a tumor can have a decisive influence on the further course of cancer.16.08.2023
The quality of life of millions suffering from endometriosis – a painful disease where sensitive tissue grows outside of the uterus – could be improved by a new artificial intelligence (AI) system with technology developed by the University of Adelaide in South Australia, in partnership with researchers from the University of Surrey.04.08.2023
Physicists at the University of Würzburg have succeeded in making a new imaging technique ready for use on humans. Radioactive markers and radiation are not necessary for this.11.07.2023
An interdisciplinary team of clinicians and scientists has published a consensus paper recommending appropriate quantitative imaging techniques for coronary artery stenosis and atherosclerosis related treatment and procedural planning.06.07.2023
The research groups of Prof. Trautwein (University Hospital RWTH Aachen) and Prof. Hengstler (Leibniz Research Centre for Working Environment and Human Factors in Dortmund) have made a surprising discovery about the interaction of the liver and the intestine.28.06.2023
The Ataxia Center at the University Hospital Bonn (UKB) and DZNE have been awarded the title “Ataxia Center of Excellence” by the US National Ataxia Foundation (NAF) for their patient care and research – as the only organization in Europe.22.06.2023
Folate-based radiopharmaceuticals can be used in positron emission tomography (PET) imaging to detect folate receptors in brain tumours. The discovery of folate receptors and their exploitation potential with respect to brain tumours is a new and significant finding in the field.20.06.2023
The University Hospital of Bonn (UKB) is the first hospital in the world to examine and monitor children receiving ECMO therapy with a mobile magnetic resonance imaging (MRI) scanner. This was possible thanks to a funding from the Bill & Melinda Gates Foundation.16.06.2023
Huntington’s disease is a genetically-based neurodegenerative disorder that causes motor, cognitive and psychiatric disorders in the affected individuals. Understanding the alterations in the neural circuits in this disorder is essential in order to design therapeutic approaches.05.06.2023
A team from the LWL Clinic for Psychosomatic Medicine and Psychotherapy at Ruhr University Bochum, Germany, has investigated the brain changes that are related to the disorder.02.06.2023
An artificial intelligence computer program that processes magnetic resonance imaging (MRI) can accurately identify changes in brain structure that result from repeated head injury, a new study in student athletes shows.12.05.2023
Magnetic Resonance Imaging (MRI) has shown a high potential to distinguish biomarkers for CKD, but renal MRI biomarkers are currently underused in research and clinical practice.09.05.2023
Metabolic disorders play a central role in many common conditions, including Alzheimer's, depression, diabetes and cancer, which call for reliable as well as non-invasive diagnostic procedures.20.04.2023
In a decades-long technical tour de force lead by Duke’s Center for In Vivo Microscopy with colleagues at the University of Tennessee Health Science Center, University of Pennsylvania, University of Pittsburgh and Indiana University, researchers took up the gauntlet and improved the resolution of MRI leading to the sharpest images ever captured of a mouse brain.13.04.2023
The neonatology team at the University Hospital Bonn (UKB) has conducted the world's first study of children receiving ECMO therapy using the mobile magnetic resonance imaging (MRI). The procedure, known as extracorporeal membrane oxygenation (ECMO), involves oxygenating the blood outside the body.28.03.2023
Better images in less time – the new MRI at Cologne-Porz Hospital uses artificial intelligence to produce the most perfect images possible from inside the body. The flexible receiver coils play an important role in this, as they also significantly improve patient comfort.20.03.2023
Sarcopenia is a degenerative disease characterised by a pathological decrease in muscle strength that particularly affects older people. Researchers at the University of Barcelona have developed a new tool to assess the presence and severity of this muscular deterioration.06.03.2023
In a study recently published in Gait & Posture, researchers from the University of Tsukuba have revealed that the volume of the hippocampus is correlated with a measure of balance ability in healthy older people.01.03.2023
Obesity and a sedentary lifestyle contribute to an increasing number of people developing fatty liver disease. There is a need for early detection of individuals at risk of developing sequelae.13.02.2023
In many neurodegenerative conditions, brain changes occur before symptoms emerge. But now, researchers from Japan have found a new way to distinguish these conditions in the early stages according to changes in brain activity patterns.20.01.2023
Researchers at MPI CBS and University of Leipzig Medical Center have used new artificial intelligence (AI) and machine learning techniques to detect rare forms of dementia on MRI images.04.01.2023
License agreement and joint development: Fraunhofer MEVIS commences cooperation with Israeli partner for worldwide use of innovative software technology in ultrasound-aided tumor ablation.15.11.2022
Four eyes see more than two – but do artificial eyes also see more than real ones? In any case, radiologists will increasingly rely on the support of algorithms in the future. These programs do not tire, even when looking at countless images. At MEDICA 2022, we met companies that already rely on AI in imaging.03.02.2022
The University Hospital Düsseldorf is researching a new method of heart imaging in the MRI: It can detect the early formation of coronary heart disease and show associated lesions before they cause any symptoms. A contrast agent containing fluorine atoms is used for this. We learn more about this method in the video interview with Prof. Ulrich Flögel and Dr. Florian Bönner.15.11.2021
To detect impairments in infants as early as possible, physicians often use MRI. However, with conventional models, infants usually need to be sedated and transported to other departments. Neoscan Solutions have developed an MRI specifically for neonatology. We learn more about it at MEDICA 2021.01.04.2021
For surgeons, nothing is more important than intimate knowledge and a spatial understanding of their operating field. Yet even three-dimensional imaging methods only provide limited assistance because the data is viewed on two-dimensional screens. When it comes to surgical planning or medical education, Mixed and Virtual Reality foster a better spatial understanding of the human body.01.04.2021
The job of surgeons starts long before they step into the operating room. They must use two-dimensional MRI or CT scans to plan the surgical steps on a three-dimensional patient, relying on their experience, skill, and spatial sense. Using mixed reality (MR) to view human anatomical models allows for better visualization and navigation.23.04.2019
It's noisy, tight and scary - that's how children feel about a magnetic resonance imaging (MRI) machine. Because they are scared, they are often too fidgety and anxious during the procedure, causing the images to blur or the scan to be stopped. Researchers have now developed a VR app called Pingunauten Trainer that’s designed to gently prepare the little patients for MRI scans.01.04.2019
All information from our body and the environment converges in our brain and is transformed into reactions in milliseconds. It is essential for medicine and research to know what our switching centre looks like. Functional methods are used to observe it more closely during work.01.04.2019
A surgery already begins before the patient is lying on the operating table – namely with the planning. For example, if brain surgery is imminent, the brain must first be mapped. This makes the activity level of certain brain areas visible. Functional magnetic resonance imaging makes this possible.13.02.2019
In conventional radiotherapy, the tumor is first localized using CT and MRT images in order to calculate the irradiated areas. The major drawback in this case: the subsequent radiation only shows bone structures in the body but not the tumor itself. As a result, the radiated area is often larger than necessary. In our video you will learn how the MR-Linac can be used for more precise radiotherapy.