Radiology, sonography and beyond: Keep reading to find out how imaging techniques like MRI, CT and ultrasound can be used in the diagnosis of diseases and the guidance of medical procedures.
Canon Medical Systems introduces Global Illumination to the existing Vitrea Advanced Visualization workflows. It delivers photorealistic 3D renderings of the human anatomy that enriches communication among specialists, clinicians and with patients. Global Illumination uses complex lighting and shading techniques to provide photo-realistic imaging of three-dimensional anatomy. The technology…
Fabrizio d’Abate, St. George’s University Hospitals NHS Foundation Trust, in London, UK describes new aspects of learning and training in ultrasound operation: "A textbook represents the most traditional tool of a teaching arsenal. However, the IT boom and internet have transformed the way people approach different tasks in their lives, from solving a problem to acquiring knowledge. This…
Radiologist Alexis Kelekis, Associate Professor of Interventional and Musculoskeletal Radiology at Attikon University Hospital, Athens, speaks about his work and developments in merging scans and techniques to gain greater accuracy in diagnosis and planning. The benefits of fusion imaging are widely acknowledged. Favoured in clinical practice by radiologist Alexis Kelekis, he explained: ‘The…
New medical software which overlays tumour information from MRI scans onto ultrasound images is helping to improve detection of prostate cancer by guiding surgeons as they conduct biopsies. Developed at University College London (UCL), the software is deployed via a system called SmartTarget and embraces artificial intelligence (AI) to use both systems in tandem to enable surgeons to pick up…
The first total-body positron emission tomography/computed tomography (PET/CT) that can acquire a 3D image of the human body in a single position received 510(k) clearance from the U.S. Food and Drug Administration (FDA) in January 2019. Its forthcoming commercial availability for clinical use in the United States later this year is the milestone achievement of a multi-institutional consortium…
The topic of artificial intelligence (AI) was omnipresent at RSNA2018, the annual meeting of the Radiological Society of North America. From the opening presidential address, throughout scientific sessions and educational presentations, to the vendors’ technical exhibition, around 53,000 attendees learned about pioneering new products, research, plus challenges and opportunities to implement…
‘Is it possible to know whether a treatment will work before even starting it – in other words, to predict the truth? That’s the great promise of holomics, a concept that everyone has been involved in without even noticing,’ said leading French physicist Irène Buvat, from the In Vivo Molecular Imaging French lab, who is set to focus on this subject at ECR 2019. ‘The truth,’ said…
A new radiomics study could help unlock one of the more challenging issues facing thoracic radiologists. Distinguishing non-small cell lung cancer from benign nodules is a major challenge due to their similar appearance on CT images. Now, however, researchers from Case Western Reserve University in Cleveland, Ohio, have used radiomic features extracted from CT images to differentiate between…
Keeping data within the hospital by sending the learning modules to each hospital database might prove a game-changer in radiomics, a leading Dutch researcher will show at ECR 2019. Radiomics, a field that aims to extract large amounts of quantitative features from medical images using data-characterisation algorithms, is a major advance for healthcare, according to Philippe Lambin, a radiation…
Molecular imaging is an exciting field for scientists who are willing to explore and innovate, prominent Spanish physicist José María Benlloch pointed out when he reviewed some of the most impacting and recent innovations in his portfolio during a meeting in Valencia. ‘Our mission is to develop innovative sensitive and harmless medical imaging instruments for early detection of diseases and…
Technological change is a major part of change management in radiology and it is inevitable. Artificial intelligence (AI) has slipped into every area of life including the hospital, and is already making decisions in radiology systems. The good news is that radiologists could win on two fronts, provided they play their cards well, a leading USA radiologist told delegates at a recent congress in…
This is a 20th anniversary year for Fujifilm’s Synapse, the world’s first web- based PACS. Today, Synapse 3-D offers advanced 3-D rendering in the Synapse PACS Viewer to perform fast, accurate extractions, stenosis measurements, brain perfusion CT, MRI, and more, the company reports. The Fujifilm Healthcare IT platform includes a comprehensive medical informatics and enterprise-imaging…
The professionals we all rely on to keep us healthy, they rely on X-Ray imaging systems empowered by flat panel detectors and software solutions provided by Thales. Our solutions offer superior accuracy and advanced image processing to help image interpretation while decreasing radiation exposure. They also include a variety of innovative features that simplify the daily workflow of healthcare…
AI algorithms are making their way not just into diagnostic workstations, but will also in future be found in the diagnostic methods themselves. Prof. Mathias Goyen, Chief Medical Officer Europe at GE Healthcare, discusses AI algorithms in radiology. "According to a study by the consultancy firm Accenture, the estimated annual market volume for AI applications in healthcare in the USA will…
Ultra-high-field magnetic resonance tomography with field strength of seven-Tesla is slowly but surely entering clinical routine. ‘Thanks to very high spatial and spectral resolution, ultra-high-field MR permits detailed views of the human anatomy and can show precisely the metabolic processes such as those in the brain,’ emphasised Professor Siegfried Trattnig, head of the Excellence Centre…
Artificial intelligence (AI) continues to drive radiologists’ discussions. Among them, Associate Professor Georg Langs, head of the Computational Imaging Research Lab (CIR) at the University Clinic for Radiology and Nuclear Medicine at the Medical University of Vienna, believes: ‘The evaluation of patterns in data from imaging examinations and clinical information about patients using machine…
White matter on the brain is a difficult subject. Even the terminology is varied, making differential diagnosis complex. An understanding of prevalence and of the tools available to facilitate the diagnosis of individual diseases is important, Dr Gunther Fesl, radiologist at Praxis Radiologie Augsburg, explains. ‘Differential diagnosis of white matter on the brain is difficult. Even the…
Imagine being able to install a new MRI anywhere with almost no external restrictions. Based in Ulm, Germany, lnterflex Medizintechnik GmbH has supplied systems for Faraday cages and exclusive MRI interiors since 2005. In addition, all MRI-providers have relied on the international experience of this firm. “The Intercabin shielding room ensures the operating reliability of modern MRI-systems.…
Jincheon National Training Center installed a Carestream OnSight 3D Extremity System. They are the most comprehensive training center for national athletes and have a total of 166,330 square meters of indoor and outdoor training facilities and support facilities capable of accommodating about 1,150 people for a total of 37 sports events including athletics, baseball, and swimming. They created an…
Magnetic resonance imaging (MRI) exams of the knee are essential to orthopedic surgeons for diagnosing the cause of symptoms in patients with knee pain and planning arthroscopic treatment. Yet the surgeons who treat patients based on knee MRIs and the radiologists who interpret those knee MRIs often work in their own silos of specialization, rarely communicating and sharing information, according…
Mosul, Iraq’s second city, is slowly rebuilding its healthcare infrastructure after years of war and destruction. Dr Henryk Pich, a consultant anaesthetist and intensive care physician at the University of Dresden, Germany, visited the region soon after the fighting had ended, supported by the independent aid organisation CADUS. Moved by the makeshift treatment centres he witnessed in the…
Using artificial intelligence, metabolic brain changes can be identified earlier leading to timely diagnosis and intervention of Alzheimer’s disease.
Communicating radiation risks is not only a legal requirement, it is also a moral obligation, asserts Dr Shane J Foley, radiographer and assistant professor at the UCD School of Medicine in Dublin, Ireland. Passing on radiation information has its pitfalls, but several helpful tools can improve communication, some of which the expert highlighted during ECR 2018. ‘When it comes to radiations…
Artificial intelligence (AI) will increase efficiency and improve quality as well as clinical outcomes – and thus strengthen rather than weaken the role of radiologists, said Dr Joon Beom Seo at ECR 2018. A spectre is haunting radiologists – the spectre of artificial intelligence. Is AI about to replace radiologists? Wrong question,’ declared radiologist Dr Joon Beom Seo, professor at the…
Researchers are using artificial intelligence to reduce the dose of a contrast agent that may be left behind in the body after MRI exams, according to a study presented at the annual meeting of the Radiological Society of North America (RSNA). Gadolinium is a heavy metal used in contrast material that enhances images on MRI. Recent studies have found that trace amounts of the metal remain in the…
