Imaging

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AI-based technology

Image improvement with smart noise cancellation

Carestream Health has released Smart Noise Cancellation (SNC), a groundbreaking artificial intelligence (AI)-based technology that greatly improves image quality — producing images that are…

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Improved comfort

New mammography system improves diagnostic confidence

Fujifilm Europe GmbH is launching the new “Harmony” version of its Amulet Innovality mammography system. The “Harmony” version brings together improved diagnostic performance with new design…

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Combining MRI with particle beams

An important step towards live imaging in proton therapy

Researchers at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) want to build the world’s first prototype that tracks moving tumors with magnetic resonance imaging (MRI) in real time during proton…

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3D imaging

New portable gamma ray camera to speed up cancer diagnosis

Scientists have designed a portable 3D imaging device which will improve the treatment and diagnosis of cancer. Current handheld gamma imaging tools are small and easy to use, but are limited to…

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Perinatal imaging

Fetal MRI precisely defines and detects abnormalities in unborn babies

MRI scanning can more precisely define and detect head, neck, thoracic, abdominal and spinal malformations in unborn babies, finds a large multidisciplinary study led by King’s College London with…

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Singlet contrast imaging

Hyperpolarized MRI enables real-time view on metabolic processes

Hyperpolarized MRI is a recent development and its research and application potential has yet to be fully explored. Researchers at Johannes Gutenberg University Mainz (JGU) and the Helmholtz…

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Imaging tumour metabolism

Hyperpolarised MRI boosts cancer diagnosis

Tumour metabolism can be imaged with MRI as a technique to help determine cancer aggressiveness and response to therapy. The work by a UK-based group, on probing cancer metabolism non-invasively with clinical hyperpolarised carbon-13 MRI, can detect metabolic changes in the tumour. As metabolic changes occur much earlier than change in tumour size, this could have implications for quicker…

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"SynergyDrive" streamlines workflow and high-speed exams

The new "Plus" in human-centered open MRI is taking off at ECR 2021

Hitachi Medical Systems Europe (HMSE) announces the release of "Aperto Lucent Plus", 0.4 Tesla permanent Open MRI and "Airis Vento Plus", 0.3 Tesla permanent Open MRI system, both equipped with "SynergyDrive", at the ECR 2021 pop-up world tour. Since the launch of "Airis", the first permanent MRI system back in 1996, Hitachi has been highly recognized for…

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A significant opportunity for radiologists

Fostering a strong eco-system for AI in medical imaging

One of the leading figures in global radiology has highlighted the importance of fostering a strong eco-system to advance the safe and effective implementation of Artificial Intelligence in medical imaging. Dr Geraldine McGinty said that to fully leverage the power of AI, all stakeholders must work together but underlined the unique responsibility physicians have to ensure patient interests are…

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Virtual booth at ECR 2021

Ziehm Imaging presents clinical packages for cardiovascular intervention

At this year's virtual ECR congress, Ziehm Imaging showcases its portfolio of mobile C-arms and advanced imaging solutions. Highlights on display include two clinical packages for cardio and vascular interventions based on the fully motorized Ziehm Vision RFD Hybrid Edition, that provide clinical users with state-of-the-art imaging support and further workflow integration. The virtual booth,…

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AI tool might reduce surgery

Managing cancer-questionable breast lesions

The management of biopsied breast lesions that are diagnosed as abnormal but are not definitively malignant is challenging and controversial. Treatment ranges from diligent follow-up, with imaging and subsequent biopsy, to surgical excision. Researchers at the Medical University of Vienna (Medizinische Universität Wien), Austria, have developed and validated a software algorithm designed to…

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Deep Computer-Aided Triage

DeepCAT: An AI tool to improve high volume mammography reading workflow

A new deep learning system to help radiologists improve their workflow efficiency when reading high volumes of screening mammograms is being developed at Johns Hopkins University’s Radiology Artificial Intelligence Lab (RAIL) in Baltimore, MD. DeepCAT (Deep Computer-Aided Triage) is focused on workflow prioritization. “Improvement in the radiologists workflow may be just as important as…

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Superior in identifying cancers in symptomatic younger women

Breast cancer detection: advantage DBT

Digital breast tomosynthesis (DBT) increases detection of breast cancer in symptomatic women under the age of 60, especially in dense breasts. A large, multi-institutional study conducted in the United Kingdom comparing the sensitivity of full-field digital mammography (FFDM), DBT, and FFDM plus DBT supports findings of two similar published studies, both conducted in China in the same time frame.

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Images and patient data combined

Integrated radiomics improves clinical outcomes

Harnessing the power of radiomics, and adopting an integrated approach to combine imaging and patient data could lead to better clinical cancer outcomes. The move has opened the door for clinicians to explore a non-invasive approach to identify the heterogeneity of a tumour and more accurately target regions for biopsy. During a presentation at ECR 2021 in March, Professor Evis Sala will…

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Radiology collaboration

Improved workflow and a touch of Disney magic

Improving workflow is one of the major challenges that radiology departments face. The need to be more efficient, deliver timely and effective patient care, and keep an eye on costs are all factors that seem to be ever-present in the modern imaging department. With the added demands of the coronavirus pandemic as radiology departments continue to play a critical role in the fight against…

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All-in-one imaging trailer

Mobile solutions for the COVID-19 frontline

With public health issues continuing to make daily mainstream news headlines across the world, it is clear how much change the healthcare environment is going through. Not only are there existing pressures on resources, space, staff, certain procedures, and budgets, but there are brand new ones resulting from the ongoing global COVID-19 pandemic. This has led to an even greater need for…

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Aiming for the stars

Radiation protection in Africa: focus on progression, not performance

Building capacity, quality and safety awareness in Africa has been high on the agenda of the International Atomic Energy Agency (IAEA) and the European Society of Radiology. Transferring and adapting those concepts to African realities has been the focus of Boudjema Mansouri, a professor of radiology in Algiers, Algeria, who will explain the challenges that this task entails in a session…

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Radiology congress in Vienna

Carestream showcases new detector, digital radiography solutions at Virtual ECR 2021

Carestream Health will highlight cutting-edge medical imaging technologies at the largest radiology meeting in Europe—the virtual European Congress of Radiology (ECR) in Vienna, Austria, beginning on March 3. The company will feature a wide range of products that demonstrates its leadership in digital medical imaging capture and processing, and improved user and workflow experiences.

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From science fiction to reality

Researchers develop powerful pocket-sized imaging device

Before Wilhelm Röntgen, a mechanical engineer, discovered a new type of electromagnetic radiation in 1895, physicians could only dream of being able to see inside the body. Within a year of Röntgen’s discovery, X-rays were being used to identify tumors. Within 10 years, hospitals were using X-rays to help diagnose and treat patients. In 1972, computed tomography (CT) scans were developed. In…

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Oncology and imaging

EC approval for Siemens Healthineers/Varian merger

The European Commission (EC) has concluded its review of the planned merger between Siemens Healthineers AG and Varian Medical Systems, Inc. and approved the transaction subject to certain conditions. In accordance with its commitments, the company will continue to keep its imaging and oncology software solutions interoperable with third-party offerings in the future. This concerns the connection…

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Higher range, lower energy absorption

New high-frequency MRI coil to advance imaging

Anyone needing a tomography gets the clearest possible images of an organ or other body structure slice by slice. But the further inside the potential problem lies, the more difficult it is to obtain high-resolution images in magnetic resonance imaging (MRI). An international team of scientists led by the University of Duisburg-Essen (UDE) has developed a high-frequency coil that allows for much…

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Imaging physics

'Quantum holography' could advance medical imaging

A new type of quantum holography which uses entangled photons to overcome the limitations of conventional holographic approaches could lead to improved medical imaging and speed the advance of quantum information science. A team of physicists from the University of Glasgow are the first in the world to find a way to use quantum-entangled photons to encode information in a hologram. The process…

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Image-based diagnosis of Covid-19

AI detects coronavirus on CT scans

In order to detect the Corona virus SARS-CoV-2, there are further methods of diagnosis apart from the globally used PCR tests (Polymerase chain reaction): The infection can also be recognised on CT scans – for which Artificial Intelligence (AI) can be used as well. An AI system can not only filter CT scan of Covid-19 patients from a data set, but also estimate, which areas of the image are of…

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'Chaimeleon' project

Removing data bias in cancer images through AI

A new EU-wide repository for health-related imaging data could boost development and marketing of AI tools for better cancer management. The open-source database will collect and harmonise images acquired from 40,000 patients, spanning different countries, modalities and equipment. This approach could eliminate one of the major bottlenecks in the clinical adoption of AI today: Data bias.

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