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.
Sonogram taken under rib cage shows liver (grey) with curved diaphragm-lung border (white). Arrows point to vertical B lines (white) demonstrating diseased lung tissue. The more B lines the worse the disease. Healing is measured by reduction in the number of B lines.
News | Coronavirus (COVID-19) | April 06, 2020
April 6, 2020 — Robert L. Bard, M.D., NYC imaging specialist collaborates with an international group of medical...
Videos | Coronavirus (COVID-19) | April 04, 2020
Hicham Skali, M.D., a staff cardiologist and member of the Non-invasive Cardiovascular Imaging Program at Brigham and...
News | Coronavirus (COVID-19) | April 03, 2020
April 3, 2020 — A new guidance document on best practices to maintain safety and minimize contamination in nuclear...
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Blog | Contrast Media Injectors | August 20, 2020
In a busy hospital imaging department, maintaining high device uptime levels is critical. If an injector malfunctions...
An example of Philips’ TrueVue technology, which offers photo-realistic rendering and the ability to change the location of the lighting source on 3-D ultrasound images. In this example of two Amplazer transcatheter septal occluder devices in the heart, the operator demonstrating the product was able to push the lighting source behind the devices into the other chamber of the heart. This illuminated a hole that was still present that the occluders did not seal. Photo by Dave Fornell
Feature | Radiology Imaging | April 02, 2020 | By Katie Caron
A new year — and decade — offers the opportunity to reflect on the advancements and challenges of years gone by and...
Blog | Coronavirus (COVID-19) | April 02, 2020
In January, we started hearing about a new virus, novel coronavirus (COVID-19), and read reports about how fast it...
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Feature | Coronavirus (COVID-19) | April 02, 2020 | Jilan Liu and HIMSS Greater China Team
Information technologies have played a pivotal role in China’s response to the novel coronavirus COVID-19 outbreak,...
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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...
CT scoring criteria were applied to images from sequential chest CT examinations. A, Initial chest CT image obtained 2 days after onset of symptoms shows small region of subpleural ground-glass opacities in right lower lobe, for CT score of 1. B, Chest CT image obtained on day 3 of treatment shows slightly enlarged region of subpleural ground-glass opacities with partial crazy-paving pattern and consolidation, for CT score of 3. C, Chest CT image obtained on day 5 of treatment shows partial resolution of consolidation, for CT score of 2. D, Chest CT image obtained on day 14 of treatment shows continued resolution of consolidation with minimal residual ground-glass opacities, for CT score of 1. Image courtesy of American Journal of Roentgenology (AJR)
News | Computed Tomography (CT) | April 02, 2020
April 2, 2020 — Updated computed tomography (CT) scoring criteria that considers lobe involvement, as well as changes...
News | Artificial Intelligence | April 02, 2020
April 2, 2020 — In the face of the COVID-19 pandemic raging around the globe, Vuno has decided to move quickly by...
Fig 1. A sample scoring on CT images of a 63-year-old woman from mortality group demonstrated a total score of 63. It was calculated as: for upper zone (A), 3 (consolidation) × 3 (50–75% distribution) × 2 (both right and left lungs) + 2 (ground glass opacity) ×1 (< 25% distribution) × 2 (both right and left lungs); for middle zone (B), 3 (consolidation) × 2 (25–50% distribution) × 2 (both right and left lungs) + 2 (ground glass opacity) × 2 (25–50% distribution) × 2 (both right and left lungs); for lower zone (C), 3 (consolidation) × (2 (25–50% distribution of the right lung) + 3 (50–75% distribution of the left lung)) + 2 (ground glass opacity) × (2 (25–50% distribution of the right lung) + 1 (< 25% distribution of the left lung)) Yuan et al, 2020 (CC BY 4.0)
News | Coronavirus (COVID-19) | April 01, 2020
April 1, 2020 — A new study, Data-based analysis, modelling and forecasting of the COVID-19 outbreak, published March...
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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 | Artificial Intelligence | April 01, 2020
April 1, 2020 — Thirona and Delft Imaging launched CAD4COVID. This new artificial intelligence (AI) tool analyses X-ray...
News | Computed Tomography (CT) | April 01, 2020
April 1, 2020 — United Imaging, a global leader in advanced medical imaging and radiotherapy equipment, is preparing to...
A, Image from noncontrast head CT demonstrates symmetric hypoattenuation within the bilateral medial thalami (arrows). B, Axial CT venogram demonstrates patency of the cerebral venous vasculature, including the internal cerebral veins (arrows). C, Coronal reformat of aCT angiogram demonstrates normal appearance of the basilar artery and proximal posterior cerebral arteries. Image courtesy of the Radiological Society of North America (RSNA)
News | Coronavirus (COVID-19) | March 31, 2020
March 31, 2020 — A brief article from Henry Ford Health System in Detroit, published today in Radiology, reports 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....
News | Artificial Intelligence | March 31, 2020
March 31, 2020 — Lung infections generated by the coronavirus can be detected in computed tomography (CT) images....
Doctor in our hospital is using this intelligent system for accurate diagnosis. (Photo: Business Wire)
News | Artificial Intelligence | March 31, 2020
March 31, 2020 — The Intelligent Evaluation System of chest computed tomography (CT) for COVID-19, developed by YITU...
News | Computed Tomography (CT) | March 27, 2020
March 27, 2020 — Based on recent scientific research, diagnostic X-ray computed tomography (CT) is able to detect COVID...
AI vendor Infervision's InferRead CT Pneumonia software uses artificial intelligence-assisted diagnosis to improve the overall efficiency of the radiology department. It is being developed in China as a high sensitivity detection aid for novel coronavirus pneumonia (COVID-19).
Feature | Coronavirus (COVID-19) | March 27, 2020 | Jilian Liu, M.D., HIMSS Greater China
An older couple walked into the Hubei Provincial Hospital of Integrated Chinese and Western Medicine near their...
Videos | Coronavirus (COVID-19) | March 27, 2020
Regina Druz, M.D., FASNC, a member of the American Society of Nuclear Cardiology (ASNC) Board of Directors, chairwomen...
Videos | Teleradiology | March 26, 2020
John Kim, M.D., chairman, Department of Radiology, THR Presbyterian Plano, Texas, and chief technology officer at Texas...
Typical CT imaging features for COVID-19. Unenhanced, thin-section axial images of the lungs in a 52-year-old man with a positive RT-PCR (A-D) show bilateral, multifocal rounded (asterisks) and peripheral GGO (arrows) with superimposed interlobular septal thickening and visible intralobular lines (“crazy-paving”). Routine screening CT for diagnosis or exclusion of COVID-19 is currently not recommended by most professional organizations or the US Centers for Disease Control and Prevention. Image courtesy of RSNA
News | Coronavirus (COVID-19) | March 26, 2020
March 26, 2020 — The Radiological Society of North America (RSNA) has published an expert consensus statement on...
News | Coronavirus (COVID-19) | March 25, 2020
March 25, 2020 — IMAGE Information Systems launched a diagnostic imaging learning platform for COVID-19 cases. Studies...
