The complex form of machine learning DLIR (Deep Learning Image Reconstruction) is based on a deep neuronal network which is similar to the human brain. The artificial neurons of this network learn according to their biological model through intensive training. For the DLIR image reconstruction, the network is fed with sample data from phantom images on the one hand and high-resolution images of…
Computed tomography (CT) is one of the most important imaging options for the diagnostics of patients. For a long time, in clinical routine CT technology mostly showed the Hounsfield Units (HU) that are indicated in the grayscale. However, the Dual Energy CT (DECT) enables colored X-ray images, therefore significantly improving examination methods. “We can also do material separation and get a…
Researchers at the University of Zurich have developed a new X-ray contrast agent which is easier to use and distributes into all blood vessels more reliably, increasing the precision of vascular imaging. This reduces the number of animals required in research experiments. Various diseases in humans and animals – such as tumors, strokes or chronic kidney disease – damage the blood vessels.…
The organ of balance in the inner ear is surrounded by the hardest bone in the body. Using synchrotron X-rays, researchers at Uppsala University have discovered a drainage system that may be assumed to play a major role in the onset of Ménière's disease, a common and troublesome disorder. These results are published in the journal Scientific Reports. Ménière's disease is manifested in sudden…
Machine learning and AI are highly unstable in medical image reconstruction, and may lead to false positives and false negatives, a new study suggests. A team of researchers, led by the University of Cambridge and Simon Fraser University, designed a series of tests for medical image reconstruction algorithms based on AI and deep learning, and found that these techniques result in myriad…
Computed tomography (CT) is one of the most effective medical tests for analysing the effects of many illnesses, including COVID-19, on the lungs. An international team led by the Universitat Oberta de Catalunya (UOC) has developed a new method that improves the quality of the images obtained from CT scans. The algorithm, which has been tested on simulated data, enables them to distinguish…
Although the clinical symptoms of new pediatric lung disorders such as severe acute respiratory syndrome (SARS), swine-origin influenza A (H1N1), Middle East respiratory syndrome (MERS), e-cigarette or vaping product use-associated lung injury (EVALI), and coronavirus disease (COVID-19) pneumonia may be nonspecific, some characteristic imaging findings "have emerged or are currently…
Hospitals and organizations worldwide joined forces with AI imaging company icometrix in a global initiative to leverage artificial intelligence (AI) in the fight against COVID-19. The multinational collaboration resulted in the development of an AI algorithm, icolung, which received CE-marking for clinical use in Europe. icolung is the first CE-marked AI solution for CT resulting from a…
A computational lung model can be used to reduce damage caused by mechanical ventilation – and could increase survival rates for patients significantly.
As radiologists worldwide continue to share their knowledge of COVID-19 to help fight the pandemic, two chest experts from France and Spain talked about their country perspectives and the practical experience at their hospital in a dedicated online session organized by the European Society of Radiology (ESR).
Chest X-ray is the first imaging method to diagnose COVID-19 coronavirus infection in Spain, but in the light of new evidence this may change soon, according to Milagros Martí de Gracia, Vice President of the Spanish Society of Radiology (SERAM) and head of the emergency radiology unit at La Paz Hospital in Madrid, one of the hot spots for viral re-production of COVID-19.
As a highly innovative medical specialisation, radiology increasingly takes advantage of the possibilities offered by artificial intelligence (AI). Yet, there is no risk for the future of the specialty. Demands on this discipline are too complex, too communicative. Thus, machines will not replace a radiologist any time soon – of that Uwe Joseph Schöpf, professor of radiology, cardiology and…
In a study of more than 1,000 patients published in Radiology, chest CT outperformed lab testing in the diagnosis of 2019 novel coronavirus disease (COVID-19). Researchers at Tongji Hospital in Wuhan, China, concluded that CT should be used as the primary screening tool for COVID-19. In the absence of specific therapeutic drugs or vaccines for COVID-19, it is essential to detect the disease at an…
Computed tomography (CT) plays an increasingly important role in assessing pelvic disease, particularly when patients present with acute abdominal pain. In addition, radiomic approaches on CT are being developed to increase the characterisation of ovarian cancer for optimising treatment planning.
Cystic lesions of the pancreas can occur in many forms, not all of which pose a serious threat to the patient. A thorough diagnosis using multi-modality imaging is therefore indispensable to differentiate between benign and malignant lesions.
A deep learning method with a convolutional neural network (CNN) can support the evaluation of small solid renal masses in dynamic CT images with acceptable diagnostic performance, according to an article published ahead-of-print in the March issue of the American Journal of Roentgenology (AJR). Between 2012 and 2016, researchers at Japan’s Okayama University studied 1807 image sets from 168…
Bringing the power of AI to routine imaging, Advanced intelligent Clear-IQ Engine (AiCE), Canon Medical’s Deep Learning Reconstruction (DLR) technology, is now being integrated across a broader portfolio of scanners with a wider range of clinical applications across modalities. Advanced intelligent Clear-IQ Engine (AiCE) was trained using vast amounts of high-quality image data, and features a…
Curious about how intelligent imaging can work with you in CT? Then join us at this year’s RSNA, North Hall, Booth #7530, where you can experience our new Somatom X.cite and myExam Companion.
Researchers at National Jewish Health and dozens of leading institutions around the nation have proposed new criteria for diagnosing chronic obstructive pulmonary disease (COPD), the fourth leading cause of death in the United States. The proposal expands diagnostic criteria from a single measure of lung function to include environmental exposure, symptoms, and abnormal CT scans.
For lung cancer patients, life expectancy has hardly improved since 1970. A ten-year survival is 5%, making this the leading cause of death among all cancers. One reason is that, in most cases, the disease is diagnosed far too late. Professor Mathias Prokop is among leading advocates of low-dose CT screening for lung cancer for high risk patients.
Richardson Healthcare announced it has received CE Mark approval for its ALTA750 X-Ray Tube, a form, fit and function replacement for the Canon/Toshiba CXB-750D/4A. Richardson ships the tube with a new cable and heat exchanger, and offers a full warranty. The CE Mark confirms that the product meets the requirements of the European Medical Device Directive, and signals conformity to patient and…
Uwe Joseph Schoepf, Professor for Radiology, Cardiology and Paediatrics and Director of the Department of Cardiovascular Imaging at the Medical University of South Carolina, discusses areas of application for AI-based radiology. The cardiothoracic imaging expert and his team were largely involved in the development and early clinical trials of the Siemens AI-Rad Companion Chest CT, a software…
ESC Congress, Paris: Two key strands in the ‘Controversies in imaging coronary artery disease’ session at the congress will examine the pros and cons of imaging use for coronary artery disease risk stratification in asymptomatic patients; the second strand will focus on whether CT angiography should be the first choice for imaging coronary artery disease in patients with stable chest pain.…
On the centenary of his birth, Mark Nicholls reflects on the life and legacy of Nobel laureate Sir Godfrey Newbold Hounsfield, the man who pioneered computed tomography. It was a discovery that came from a moment of inspiration during a country walking holiday; the idea that one could determine what was inside a box by taking X-ray readings at all angles around the object. From that, Sir Godfrey…
The pros and cons of CT (computed tomography), MRI (magnetic resonance imaging) and CEUS (contrast enhanced ultrasound) for emergency abdominal use were highlighted by speakers in an ECR 2019 session under the broader heading: ‘Abdominal Emergencies: advanced imaging in daily routine’.
