Imaging

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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…

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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…

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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…

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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…

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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…

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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…

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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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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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'Thumbs up' for image reconstruction

Facebook AI accelerates MRI exams

Artificial intelligence (AI) image reconstruction dramatically reduces magnetic resonance imaging (MRI) scan time, according to new research. The first clinical study comparing AI-accelerated knee MRI scans with conventional scans shows that the AI scans are not only diagnostically interchangeable with conventional ones, but also produce higher quality images. Results of this interchangeability…

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Neuroimaging research

Using mass spectrometry to diagnose brain diseases

To quickly and correctly diagnose diseases, medical professionals depend on identifying what biochemicals are present in tissue sections, where the biomolecules are, and at what concentrations. Mass spectrometry imaging—which can identify multiple biochemicals in a single experiment—is a promising technique to achieve this. However, the stability of biomolecular sampling needs improvement to…

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RadClip

AI tool for MRI could transform prostate cancer surgery, treatment

Researchers at the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University have preliminarily validated an artificial intelligence (AI) tool to predict how likely the disease is to recur following surgical treatment for prostate cancer. The tool, called RadClip, uses AI algorithms to examine a variety of data, from MRI scans to molecular…

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CARS & multiphoton microscopy

Multimodal imaging to detect cancerous cells faster and more accurately

Improving the detection of cancerous cells during surgery – this is the goal of the European research project CARMEN. The research institutes Laser Zentrum Hannover e.V. (LZH) from Germany and Multitel asbl from Belgium work together with companies from both countries, JenLab GmbH, Deltatec, and LaserSpec, to develop a novel, compact and multimodal imaging system. This could even allow the…

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Scattering suppression for imaging

'Autocorrect' feature to make X-rays safer for children

Clinicians will be able to take a low radiation, digital X-ray image - without the need for an anti-scatter grid - thanks to new innovative ‘scattering suppression software’. Developed by photonics scientists at the Warsaw University of Technology (WUT), working in collaboration with innovation incubator ACTPHAST 4.0 and medical imaging company Italray SRL, the new algorithm ‘auto…

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Sonography challenges

Abdominal ultrasound: promising for imaging of obese patients

Imagers need special scenarios, skills and tools to examine larger patients, who present more challenges when it comes to radiological procedures. New ultrasound devices could help reduce dose exposure in these patients, who are more likely to undergo x-ray based examinations and receive a higher dose during those, experts explained in a dedicated session during ECR 2020.

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Mobile hybrid imaging, image fusion, endovascular 3D navigation

Ziehm and Therenva present imaging solutions at RSNA 2020

At this year's virtual RSNA congress, Ziehm Imaging showcases its leading portfolio of mobile C-arms and advanced imaging solutions. Highlights on display include the Ziehm Vision RFD Hybrid Edition in combination with Therenva’s EndoNaut solution for advanced endovascular 3D intraoperative navigation as well as the Ziehm Vision RFD 3D, one of the most successful 3D mobile imaging solutions in…

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Anatomy meets astronomy

French radiologists set their eyes on the stars

About 2,200 satellites are currently orbiting the Earth and soon space stations may be equipped with the latest medical imaging technology, including interventional radiology devices. In France, radiologists and astronauts are putting their heads together to make this vision materialise in a unique partnership between the French Society of Radiology (SFR) and the French Space Agency (CNES).

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