Computed Tomography (CT)
Computed tomography (CT) systems use a series of X-ray images to create an image volume dataset with slices that can be manipulated on any plane using advanced visualization software. The section includes computed tomography scanners, CT contrast agents, CT angiography (CTA and CCTA), CT perfusion, spectral CT (dual-source CT), and iterative reconstruction dose reduction software.
CT lung imaging from a 41-year-old woman who tested positive for the 2019 novel coronavirus (2019-nCoV). This 3-D reconstruction shows multifocal ground glass opacities without consolidation. See also three-dimensional VIDEO of this rendering.
News | Computed Tomography (CT) | February 05, 2020
February 5, 2020 — In a special report published in the journal Radiology, researchers describe computed tomography (CT...
Infervision’s deep learning medical imaging platform is helping screen patients for the coronavirus in China. It acts as second pair of eyes to identify multiple diseases from one set of chest scans. The artificial intelligence (AI) can provide a complete view of the nodule, including volume and density.
News | Artificial Intelligence | February 04, 2020
February 4, 2020 — Since January 2020, the Coronavirus (2019-nCoV) outbreak at Wuhan, China, has attracted a great deal...
Figure A: CT scan of a coronavirus from a patient in China showing ground glass lesions in the lungs. Images courtesy of the Radiological Society of North America. For larger images and more details on the scan, view the original article at https://pubs.rsna.org/doi/10.1148/radiol.2020200236
Feature | Computed Tomography (CT) | January 31, 2020 | Dave Fornell, Editor
January 31, 2020 — One of the first imaging studies on the coronavirus (2019-nCoV) was published online today as...
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Brain image taken on an Echelon Oval 1.5T MR scanner. Image courtesy of Hitachi Healthcare Americas
Blog | Radiology Imaging | September 13, 2019
People who live in rural America may deserve the same quality healthcare as anyone living in the U.S., but it is not...
RSNA 2019
Feature | Radiology Imaging | January 31, 2020 | By Greg Freiherr
The founder of Gonzo journalism thought back nostalgically to what many believed in the 1960s was inevitable. The...
News | Computed Tomography (CT) | January 29, 2020
January 29, 2020 – The presence of a blood clot on the wall of the aorta in people with abdominal aortic aneurysms (AAA...
Axial unenhanced inspiratory CT images of the lungs in 51-year-old woman (a) before and (b) 6 months after bariatric surgery with 31-kg weight loss (body mass index decrease, 36.1%). The mosaic attenuation seen before surgery resolved after surgery. Image courtesy of Radiological Society of North America (RSNA)
News | Computed Tomography (CT) | January 29, 2020
January 29, 2020 — Bariatric surgery and weight loss appear to reverse some of the negative effects of obesity on the...
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Image courtesy of Lior Molvin
Blog | Contrast Media | July 15, 2019
Contrast agents improve every kind of medical image from computed tomography (CT) to magnetic resonance imaging (MR),...
News | Radiology Imaging | January 22, 2020
January 22, 2020 — The risk of administering modern intravenous iodinated contrast media in patients with reduced...
This is a lung X-ray reviewed automatically by artificial intelligence (AI) to identify a collapsed lung (pneumothorax) in the color coded area. This AI app from Lunit is awaiting final FDA review and in planned to be integrated into several vendors' mobile digital radiography (DR) systems. Fujifilm showed this software integrated as a work-in-progress into its mobile X-ray system at RSNA 2019. GE Healthcare has its own version of this software for its mobile r=ray systems that gained FDA in 2019.
Feature | RSNA | January 20, 2020 | Dave Fornell, Editor
Here are images of some of the newest new medical imaging technologies displayed on the expo floor at the Radiological...
Videos | RSNA | January 13, 2020
ITN Editor Dave Fornell takes a tour of some of the most innovative new medical imaging technologies displayed on the...
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Photo courtesy of pixabay
Blog | Radiology Imaging | June 19, 2019
Access to healthcare by rural-living Americans can be difficult. Part of the reason is the wide geographic expanse....
Videos | RSNA | January 07, 2020
Elizabeth M. Hecht, M.D., professor of radiology, Columbia University, New York, explains the latest advances to help...
Sponsored Content | Videos | Computed Tomography (CT) | January 06, 2020
Hitachi announced the FDA clearance of its newest CT – Scenaria View – at RSNA2019. The View offers an 80 cm wide bore...
Videos | Stroke | January 03, 2020
Ajay Choudhri, M.D., chairman of radiology, Capital Health, Hopewell, N.J., explains his center's experience using an...
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One of several 3-D printed models at Stratasys booth during RSNA 2018.
Blog | RSNA | November 27, 2018
For medical practice to advance, efforts to make this practice more efficient must not come at the expense of accuracy...
Sponsored Content | Videos | Computed Tomography (CT) | January 03, 2020
In this Conversations video at AHRA, Ryan K. Lee, M.D., describes the harm extravasation can do and why using power...
Videos | Advanced Visualization | December 30, 2019
This is a hologram of a fracture from a computed tomography (CT) scan displayed by the start up company Voxon at the...
This is work-in-progress artificial intelligence app on Fujifilm's mobile digital radiography system to immediately detect pneumothorax (a collapsed lung), The AI highlights the area of interest to show the location to the technologist and attending physician in a unit before the image is even uploaded to the PACS for a read by a radiologist. The technology also can flag the study for an immediate read in the PACS worklist for confirmation by a human. This technology is from a third-party and will be offered on Fujifilm's REiLI AI platform. Applications like this that have immediate impact on critical patient care saw a lot of interest at RSNA 2019. Photos by ITN Editor Dave Fornell.
Feature | Artificial Intelligence | December 27, 2019 | Siddharth Shah and Srikanth Kompalli, Frost & Sullivan
Radiology artificial intelligence (AI) was again the hottest topic at the 2019 Radiological Society of North America (...
Introduced in 2018, the NeuroLogica OmniTom CT brings state-of-the-art 16-slice CT imaging to the patient bedside, operating room (OR) and other mobile clinical settings, raising the bar for mobile CT imaging. The new DORO clamp helps maximize the scanner’s performance for some of today’s most challenging interventions.
News | Computed Tomography (CT) | December 27, 2019
December 27, 2019 — NeuroLogica, a subsidiary of Samsung Electronics and leader in mobile computed tomography (CT),...
Videos | Computed Tomography (CT) | December 26, 2019
Kevin Little, Ph.D., assistant professor and medical physicist, Department of Radiology, at The Ohio State University,...
Videos | Radiation Dose Management | December 19, 2019
Mahadevappa Mahesh, Ph.D., chief of medical physicist and professor of radiology and medical physics, Johns Hopkins...
Videos | RSNA | December 18, 2019
ITN Editor Dave Fornell and ITN Consulting Editor Greg Freiherr offer a post-game report on the trends and technologies...
The Hitachi Scenaria View CT scanner on display at the 2019 Radiological Society of North America (RSNA) meeting in December. This workhorse 64 or 128 slice CT system, and Hitchai's portfolio of MRI and ultrasound systems, is attracting the attention of Fujifilm, which does not have some of these technologies. Combined, the new new portfolio may help Fujifilm capture a larger portion of international radiology market share. Photo by Dave Fornell.
Feature | Radiology Business | December 17, 2019 | Dave Fornell, Editor
December 17, 2019 — It was disclosed today that Fujifilm may buy Hitachi's diagnostic imaging business in a deal that...
