Radiology Imaging

The radiology imaging channel includes technology news related to computed tomography (CT), digital radiography (DR / X-ray), ultrasound, magnetic resonance imaging (MRI), radiographic fluoroscopy (R/F), mammography, angiography, 3-D printing, contrast media injectors, molecular imaging, neurological imaging, pediatric imaging and radiation dose management. 

United Imaging's uMR OMEGA is designed to provide greater access to magnetic resonance imaging (MRI) with the world’s first ultra-wide 75-cm bore 3T MRI.
News | Magnetic Resonance Imaging (MRI) | May 27, 2020
May 27, 2020 — United Imaging's uMR OMEGA is designed to provide greater access to magnetic resonance imaging (MRI)...
Off-site imaging companies are playing a key role in the fight against COVID-19
Feature | Coronavirus (COVID-19) | May 26, 2020 | By Sean Zahniser
After the worst of the COVID-19 pandemic has passed, hospitals are going to be overwhelmed with a large number of...
There were several new developments in digital radiography (DR) technology at the 2019 Radiological Society of North America (RSNA) annual meeting. These trends included integration of artificial intelligence (AI) auto detection technologies, more durable glassless detector plates, and technologies to pull more diagnostic data out of X-ray imaging. Some vendors also have redesigned their DR systems to make them more user-friendly and ergonomic. 
Feature | Digital Radiography (DR) | May 26, 2020 | By Dave Fornell
There were several new developments in digital radiography (DR) technology at the 2019 Radiological Society of North...
The Philips Lumify point-of-care ultrasound (POCUS) system assessing a patient in the emergency room combined with telehealth to enable real-time collaboration with other physicians.

The Philips Lumify point-of-care ultrasound (POCUS) system assessing a patient in the emergency room combined with telehealth to enable real-time collaboration with other physicians.

News | Coronavirus (COVID-19) | May 26, 2020
May 26, 2020  — Philips Healthcare recently received 510(k) clearance from the U.S. Food and Drug Administration (FDA)...
An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019.

An example of DiA'a automated ejection fraction AI software on the GE vScan POCUS system at RSNA 2019. Photo by Dave Fornell.

News | Ultrasound Imaging | May 26, 2020
May 12, 2020 — DiA Imaging Analysis, a provider of AI based ultrasound analysis solutions, said it received a...
The Radiological Society of North America (RSNA) announced today that its 106th Scientific Assembly and Annual Meeting, previously scheduled to be held Nov. 29 – Dec. 4, 2020, at McCormick Place in Chicago, will be held as an all-virtual event Nov. 29 – Dec. 5.
News | RSNA | May 26, 2020
May 26, 2020 — The Radiological Society of North America (RSNA) announced today that its 106th Scientific Assembly and...
a Schematic of the system. The entire solid tumour is illuminated from four sides by a four-arm fibre bundle. A cylindrically focused linear array is designed to detect optoacoustic signals from the tumour. In vivo imaging is performed in conical scanning geometry by controlling the rotation and translation stages. The sensing part of the transducer array and the tumour are submerged in water to provide acoustic coupling. b Maximum intensity projections of the optoacoustic reconstruction of a phantom of pol

a Schematic of the system. The entire solid tumour is illuminated from four sides by a four-arm fibre bundle. A cylindrically focused linear array is designed to detect optoacoustic signals from the tumour. In vivo imaging is performed in conical scanning geometry by controlling the rotation and translation stages. The sensing part of the transducer array and the tumour are submerged in water to provide acoustic coupling. b Maximum intensity projections of the optoacoustic reconstruction of a phantom of polyethylene microspheres (diameter, 20 μm) dispersed in agar. The inset shows a zoomed-in view of the region boxed with a yellow dashed line. In addition, the yellow boxes are signal profiles along the xy and z axes across the microsphere centre, as well as the corresponding full width at half-maximum values. c Normalized absorption spectra of Hb, HbO2 and gold nanoparticles (AuNPs). The spectrum for the AuNPs was obtained using a USB4000 spectrometer (Ocean Optics, Dunedin, FL, USA), while the spectra for Hb and HbO2 were taken from http://omlc.org/spectra/haemoglobin/index.html. The vertical dashed lines indicate the five wavelengths used to stimulate the three absorbers: 710, 750, 780, 810 and 850 nm. Optoacoustic signals were filtered into a low-frequency band (red) and high-frequency band (green), which were used to reconstruct separate images.

News | Breast Imaging | May 26, 2020
May 26, 2020 — Breast cancer is the most common cancer in women. But individual tumors can vary significantly,...
A new technique developed by researchers at UC Davis offers a significant advance in using magnetic resonance imaging to pick out even very small tumors from normal tissue. The team created a probe that generates two magnetic resonance signals that suppress each other until they reach the target, at which point they both increase contrast between the tumor and surrounding tissue

A new technique developed by researchers at UC Davis offers a significant advance in using magnetic resonance imaging to pick out even very small tumors from normal tissue. The team created a probe that generates two magnetic resonance signals that suppress each other until they reach the target, at which point they both increase contrast between the tumor and surrounding tissue. Image courtesy of Xiandoing Xue, UC Davis

News | Magnetic Resonance Imaging (MRI) | May 26, 2020
May 26, 2020 — Researchers at the University of California, Davis offers a significant advance in using magnetic...
Researchers from Tokyo Metropolitan University have surveyed the amount of gadolinium found in river water in Tokyo. Gadolinium is contained in contrast agents given to patients undergoing medical magnetic resonance imaging (MRI) scans, and it has been shown in labs to become toxic when exposed to ultraviolet rays. The researchers found significantly elevated levels, particularly near water treatment plants, highlighting the need for new public policy and removal technologies as MRI become even more commonp

Samples were taken along rivers around Tokyo. Measurements of rare earth element quantities indicate a clearly elevated amount of gadolinium compared to that in natural shale. Graphics courtesy of Tokyo Metropolitan University

News | Magnetic Resonance Imaging (MRI) | May 26, 2020
May 26, 2020 — Researchers from Tokyo Metropolitan University have surveyed the amount of gadolinium found in river...
Sponsored Content | Videos | Contrast Media Injectors | May 22, 2020
At this year’s RSNA ITN sat down with Dennis Durmis, Senior Vice President, Bayer Radiology to discuss Radiology trends...
Phone call and linkage-to-care-based intervention increases mammography uptake among primary care patients at an urban safety-net hospital

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News | Mammography | May 22, 2020
May 22, 2020 — Telephone outreach coupled with scheduling assistance significantly increased screening mammography set-...
Lymphocytic Inflammation in a Lung from a Patient Who Died from Covid-19. The gross appearance of a lung from a patient who died from coronavirus disease 2019 (Covid-19) is shown in Panel A (the scale bar corresponds to 1 cm). The histopathological examination, shown in Panel B, revealed interstitial and perivascular predominantly lymphocytic pneumonia with multifocal endothelialitis (hematoxylin–eosin staining; the scale bar corresponds to 200 μm).

Lymphocytic Inflammation in a Lung from a Patient Who Died from Covid-19. The gross appearance of a lung from a patient who died from coronavirus disease 2019 (Covid-19) is shown in Panel A (the scale bar corresponds to 1 cm). The histopathological examination, shown in Panel B, revealed interstitial and perivascular predominantly lymphocytic pneumonia with multifocal endothelialitis (hematoxylin–eosin staining; the scale bar corresponds to 200 μm). Image courtesy of The New England Journal of Medicine

News | Coronavirus (COVID-19) | May 22, 2020
May 22, 2020 — In a new study in the New England Journal of Medicine (NEJM), senior author Steven J. Mentzer, M.D.,...
Extends access of AI software that supports chest imaging, including CT and X-ray, to U.S. radiologists at over 7,000 healthcare facilities
News | Coronavirus (COVID-19) | May 21, 2020
May 21, 2020 — RADLogics announced that its AI-powered medical imaging applications designed to assist in the detection...
Butterfly iQ devices provide revolutionary portable ultrasound capabilities for faster and easier screening and monitoring
News | Coronavirus (COVID-19) | May 20, 2020
May 20, 2020 —Atrium Health is one of the first major health systems in the nation to put into wide practice a new...
News | Radiology Imaging | May 19, 2020
May 19, 2020 — Hospitals and institutions are regularly using imaging as a frontline tool for triaging patients, and...
The Breast Imaging and Reporting System (BI-RADS) was established by the American College of Radiology to help classify findings on mammography. Findings are classified based on the risk of breast cancer, with a BI-RADS 2 lesion being benign, or not cancerous, and BI-RADS 6 representing a lesion that is biopsy-proven to be malignant.

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News | Breast Imaging | May 19, 2020
May 19, 2020 — Women with mammographically detected breast lesions that are probably benign should have follow-up...
Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-

Figure 1: Examples of chest CT images of COVID-19 (+) patients and visualization of features correlated to COVID-19 positivity. For each pair of images, the left image is a CT image showing the segmented lung used as input for the CNN (convolutional neural network algorithm) model trained on CT images only, and the right image shows the heatmap of pixels that the CNN model classified as having SARS-CoV-2 infection (red indicates higher probability). (a) A 51-year-old female with fever and history of exposure to SARS-CoV-2. The CNN model identified abnormal features in the right lower lobe (white color), whereas the two radiologists labeled this CT as negative. (b) A 52-year-old female who had a history of exposure to SARS-CoV-2 and presented with fever and productive cough. Bilateral peripheral ground-glass opacities (arrows) were labeled by the radiologists, and the CNN model predicted positivity based on features in matching areas. (c) A 72-year-old female with exposure history to the animal market in Wuhan presented with fever and productive cough. The segmented CT image shows ground-glass opacity in the anterior aspect of the right lung (arrow), whereas the CNN model labeled this CT as negative. (d) A 59-year-old female with cough and exposure history. The segmented CT image shows no evidence of pneumonia, and the CNN model also labeled this CT as negative.  

News | Coronavirus (COVID-19) | May 19, 2020
May 19, 2020 — Mount Sinai researchers are the first in the country to use artificial intelligence (AI) combined with...
Advanced imaging data exchange is now live in Colorado due to the partnership of Health Images and the Colorado Regional Health Information Organization

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News | Radiology Business | May 18, 2020
May 18, 2020 — CORHIO, a health information exchange in Colorado enabling data exchange for its 19,000+ users,...
World’s largest deployment of a radiology-based AI diagnostic solution for COVID-19 using AI-based chest X-ray technology
News | Coronavirus (COVID-19) | May 18, 2020
May 18, 2020 — Behold.ai announced its partnership with Apollo Radiology International, part of the Apollo Hospitals...
Radiologists from Shanghai discuss modifying exam process and disinfecting exam room, while outlining personal protection measures during the coronavirus disease outbreak

(HIS = hospital information system, RIS = radiology information system) Image courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | May 18, 2020
May 18, 2020 — In an open-access article published ahead-of-print by the American Journal of Roentgenology (AJR), a...