When patients undergo an MRI, they are told to lie still because even the slightest movement compromises the quality of the images and can create blurred spots and speckles known as artifacts. Moreover, a long acquisition time is usually required to provide high-quality MRI images. A team of researchers from Washington University in St. Louis has found a new deep learning method that can minimize…
Unsupervised deep learning breaks new ground by predicting the progression of COVID-19 and survival of patients directly from their chest CT images.
Combining imaging modalities is helping to achieve better diagnostic and therapeutic outcomes for heart patients. The topic, discussed in detail by experts at the ICNC-CT online International Conference on Nuclear Cardiology and Cardiac CT, examined hybrid/fusion imaging as the standard in cardiovascular imaging, and its value in clinical practice. Professor Terrence Ruddy spoke about the role of…
Molecular imaging, guided by novel tracers, is emerging as an important diagnostic and therapeutic tool in cardiovascular medicine. Delegates at ICNC-CT, the online International Conference on Nuclear Cardiology and Cardiac CT, also heard that cardiology can learn from fields such as oncology and neurology that have already made important advances in this area. Professor Frank Bengel, who is…
Claustrophobia or anxiety can overwhelm small children and people with cognitive difficulties, especially in a confining and noisy MRI scanner tube. Their restless reactions can then render scan images useless. To help such patients to relax during scanning, a team from King’s College London (KCL) has designed an immersive environment with a special virtual reality (VR) headset for use with MRI…
In an effort to promote access to professional breast imaging knowledge, the European Society of Radiology (ESR) now links to educational materials from DenseBreast-info.org as a resource for its members about the screening and risk implications of dense breast tissue.
Siemens Healthineers has recently started offering its customers WeScan, a new service that helps healthcare providers to perform MRI examinations if they lack qualified radiology staff. With the WeScan service, customers may seek access to a pool of skilled remote imaging technologists who help operate the MRI scanner using syngo Virtual Cockpit, the remote scanning software of Siemens…
An EPFL scientist has found that brain fingerprints – or maps of the neural connections within our brain – can be used to detect a decline in cognitive ability. That’s because the fingerprints are harder to detect in people who already have mild cognitive impairment.
The healthcare sector’s emphasis on meeting its Quadruple Aim goal—cost reduction, clinical outcomes, enhance the patient and caregiver experience, and improve the work-life of healthcare providers—encourages the medical imaging and informatics industry to use advanced technologies to tap into growth prospects. Frost & Sullivan’s recent analysis, Global Medical Imaging &…
Medical data management company Flywheel announced a partnership and enterprise license agreement with Siemens Healthineers. Under the agreement, Flywheel will deliver a cloud-based research collaboration solution on the Siemens Healthineers teamplay digital health platform. Rolling out first in North America, the teamplay collaboration solution will enable Siemens Healthineers and its many…
The contribution of Artificial intelligence (AI) has great potential in breast imaging efficiency, Professor Linda Moy MD told attendees at the 2021 Society of Breast Imaging/American College of Radiology (SBI/ACR) Breast Imaging Symposium this April. AI models for breast imaging have focused mainly on the diagnostic classification and detection of breast cancer.
Researchers report that they have developed a method to combine three brain-imaging techniques to more precisely capture the timing and location of brain responses to a stimulus. Their study is the first to combine the three widely used technologies for simultaneous imaging of brain activity. The work is reported in the journal Human Brain Mapping. The new "trimodal" approach combines…
The effects of Covid-19 on the brain can be accurately measured with positron emission tomography (PET), according to research presented at the Society of Nuclear Medicine and Molecular Imaging (SNMMI) 2021 Annual Meeting. In the study, newly diagnosed Covid-19 patients, who required inpatient treatment and underwent PET brain scans, were found to have deficits in neuronal function and…
A new imaging technique has the potential to detect neurological disorders at their earliest stages, enabling physicians to diagnose and treat patients more quickly.
A cutting-edge imaging technique that creates 4D flow images of the heart has been carried out for the first time in the UK at the Norfolk and Norwich University Hospital (NNUH).
‘Accutron CT-D Vision is the latest evolution of Medtron`s flagship CT injector. Designed to enhance operability, the updated user interface is displayed on larger touch screens and provides a simplified programming and more comprehensive follow-up of each injection step,’ the company reports. ‘The new IDS (Injection Data Sharing) option enables injection data to be shared through RIS/PACS…
With the launch of the Accutron CT-D Vision, MEDTRON AG once again demonstrates their status as a partner to radiologists. Focusing on the operator's needs, the latest evolution of the Accutron CT-D enhances the usability of its double head CT injector and optimizes its integration into the radiology environment.
Researchers funded by the British Heart Foundation (BHF) have developed biodegradable microspheres that can be used to deliver heart cells generated from stem cells to repair damaged hearts after a heart attack, in research presented at the British Cardiovascular Society conference.
University of Washington researchers have discovered that AI models—like humans—have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings.
Three leading AI scale-ups - Aidence, ScreenPoint Medical and Thirona - have launched the informative video series “Opening the black box of AI in medical imaging”.
The EU-funded consortium Laser and Ultrasound Co-analyzer for Thyroid Nodules (LUCA) has developed a non-invasive, low-cost device that brings a new solution for thyroid cancer screening.
Guerbet, a global leader in medical imaging, has announced the election of Marc Massiot as director for a six-year term. This nomination was approved at Guerbet's Annual General Shareholders' Meeting on May 28.
Carestream Health is transforming and accelerating the way it develops and delivers AI applications for medical imaging that help improve patient care. The state-of-the-art initiative is based on Hewlett Packard Enterprise’s (HPE) GreenLake for Machine Learning Operations (ML Ops). The machine-learning-optimized cloud service infrastructure makes it easier and faster to get started with ML/AI…
Currently, two opposing trends can be observed in MRI: on the one hand 1.5T scanners are increasingly replaced by 3T scanners for standard clinical MRI applications. On the other hand scanners with lower and even significantly lower field strength have commercially available in the past two years. A session at this year’s European Congress of Radiology (ECR 2021) took a closer look at low-field…
University of Birmingham scientists have developed a new microscopic imaging approach to take a closer look at 3D-printing for developing future patient implants, as well as improved disease modelling and drug screening. Additive manufacturing (3D printing) platforms create bioprinted structures by moving a special bioink, containing cells, biomolecules and materials, through a narrow tube, but…
