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.

Infervision's newly FDA approved CT lung AI application sets a new standard
News | Artificial Intelligence | July 10, 2020
July 10, 2020 — Infervision announced U.S. Food and Drug Administration (FDA) 510(K) clearance of the InferRead Lung CT...
Artificial intelligence (AI)-assisted software was used to identify inflammatory tissues in lung and automatically segment inflammatory lesions. Three-dimensional image shows regions of COVID-19 pneumonia in lung through AI postprocessing. Image courtesy of the American Journal of Roentgenology (AJR)

Artificial intelligence (AI)-assisted software was used to identify inflammatory tissues in lung and automatically segment inflammatory lesions. Three-dimensional image shows regions of COVID-19 pneumonia in lung through AI postprocessing. Image courtesy of the American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | July 10, 2020
July 10, 2020 — An open-access American Journal of Roentgenology (AJR) article investigating the differences in...
A lung CT of a COVID-19 patient, showing ground-glass opacities in the lung from COVID pneumonia. Image courtesy of John Kim.

A lung CT of a COVID-19 patient, showing ground-glass opacities in the lung from COVID pneumonia. Image courtesy of John Kim.

News | Coronavirus (COVID-19) | July 09, 2020
July 9, 2020 — With increased lung CT exam paradigms being used in the current COVID-19 (SARS-CoV-2) outbreak, and an...
This data represents wave 2 of a QuickPoLL survey conducted in partnership with an imagePRO panel created by The MarkeTech Group (TMTG), regarding the effects of COVID-19 on their business

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Feature | Coronavirus (COVID-19) | July 01, 2020 | By Melinda Taschetta-Millane
New QuickPoLL survey results are available on how radiologists feel about current business and the impact of COVID-19,...
Imaging Artificial Intelligence (AI) provider Qure.ai announced its first US FDA 510(k) clearance for its head CT scan product qER. The US Food and Drug Administration's decision covers four critical abnormalities identified by Qure.ai's emergency room product.
News | Artificial Intelligence | June 30, 2020
June 30, 2020 — Imaging Artificial Intelligence (AI) provider Qure.ai announced its first US FDA 510(k) clearance for...
In new QuickPoLL survey on imaging during the pandemic, responses were tallied from around 170 radiology administrators and business managers, who are part of an imagePRO panel created by The MarkeTech Group (TMTG), regarding the effects of COVID-19 on their business. TMTG is a research firm specializing in the medical device, healthcare and pharmaceutical industries.
Feature | Coronavirus (COVID-19) | June 30, 2020 | By Melinda Taschetta-Millane
The true impact that COVID-19 has had on the medical imaging industry still remains to be seen, as hospitals and...
Thoracic findings in a 15-year-old girl with Multisystem Inflammatory Syndrome in Children (MIS-C). (a) Chest radiograph on admission shows mild perihilar bronchial wall cuffing. (b) Chest radiograph on the third day of admission demonstrates extensive airspace opacification with a mid and lower zone predominance. (c, d) Contrast-enhanced axial CT chest of the thorax at day 3 shows areas of ground-glass opacification (GGO) and dense airspace consolidation with air bronchograms. (c) This conformed to a mosai

Thoracic findings in a 15-year-old girl with Multisystem Inflammatory Syndrome in Children (MIS-C). (a) Chest radiograph on admission shows mild perihilar bronchial wall cuffing. (b) Chest radiograph on the third day of admission demonstrates extensive airspace opacification with a mid and lower zone predominance. (c, d) Contrast-enhanced axial CT chest of the thorax at day 3 shows areas of ground-glass opacification (GGO) and dense airspace consolidation with air bronchograms. (c) This conformed to a mosaic pattern with a bronchocentric distribution to the GGO (white arrow, d) involving both central and peripheral lung parenchyma with pleural effusions (black small arrow, d). image courtesy of Radiological Society of North America

News | Coronavirus (COVID-19) | June 26, 2020
June 26, 2020 — In recent weeks, a multisystem hyperinflammatory condition has emerged in children in association with...
Researchers from five infectious disease hospitals across four districts in Guangzhou, China found that the less pulmonary consolidation on chest CT, the greater the possibility of negative initial reverse transcription–polymerase chain reaction (RT-PCR) results for 21 patients (nine men, 12 women; age range, 26–90 years)

Comparison of CT features between groups with negative and positive initial RT-PCR results.
aThe difference was statistically significant in comparison of the two groups (p < 0.05).

News | Coronavirus (COVID-19) | June 18, 2020
June 18, 2020 — An open-access American Journal of Roentgenology (AJR) article exploring the diagnostic value of chest...
The thickness of the cartilage covering the end of each bone is colour-coded, with red areas denoting thinner cartilage and green-blue areas denoting thicker cartilage. The technique helps locate where arthritis is affecting the joint over time.

The thickness of the cartilage covering the end of each bone is colour-coded, with red areas denoting thinner cartilage and green-blue areas denoting thicker cartilage. The technique helps locate where arthritis is affecting the joint over time. Image courtesy of the University of Cambridge

News | Magnetic Resonance Imaging (MRI) | June 11, 2020
June 11, 2020 — An algorithm that analyzes magnetic resonance imaging (MRI) images and automatically detects small...
Chief among the myriad practical updates to minimize risks for patients and imaging personnel alike is a tiered approach for delaying both outpatient and inpatient cross-sectional interventional procedures

For procedural delays that will not adversely affect patient outcome, Fananapazir and colleagues proposed the following tiered approach for both outpatient and inpatient scenarios: urgent procedures, procedures that should be performed within 2 weeks, procedures that should be performed within 2 months, and procedures that can safely be delayed 2 or 6 months. Courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | June 05, 2020
June 5, 2020 — An open-access article in the American Journal of Roentgenology (AJR) details myriad practical updates...
According to a recent report by Johns Hopkins Medicine researchers, artificial intelligence (AI) should be used to expand the role of chest X-ray imaging — using computed tomography, or CT —  in diagnosing and assessing coronavirus infection so that it can be more than just a means of screening for signs of COVID-19 in a patient's lungs.

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News | Coronavirus (COVID-19) | June 04, 2020
June 4, 2020 — According to a recent report by Johns Hopkins Medicine researchers, artificial intelligence (AI) should...
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Blog | Coronavirus (COVID-19) | June 02, 2020
  COVID-19 continues to hold its grip on the world. This rapidly developing pandemic has dominated headlines since it...
Largest case series (n=30) to date yields high frequency (77%) of negative chest CT findings among pediatric patients (10 months-18 years) with COVID-19, while also suggesting common findings in subset of children with positive CT findings

A and B, Unenhanced chest CT scans show minimal GGOs (right lower and left upper lobes) (arrows) and no consolidation. Only two lobes were affected, and CT findings were assigned CT severity score of 2. Image courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | May 29, 2020
May 29, 2020 — An investigation published open-access in the American Journal of Roentgenology (AJR) revealed a high...
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...
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,...
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...
Now a research team — led by Tohoku University Professor, Wataru Yashiro — has developed a new method using intense synchrotron radiation that produces higher quality images within milliseconds.

How the bent crystal changes the direction of the X-rays. Image courtesy of Tohoku University

News | Computed Tomography (CT) | May 15, 2020
May 15, 2020 — Many will undergo a computed tomography (CT) scan at some point in their lifetime — being slid in and...
In today’s challenging healthcare environment, radiology departments are often faced with the difficult decision of how to safely image patients who are suspected of being positive with infectious disease. To help hospitals and institutions effectively utilize computed tomography (CT) with these conditions, Canon Medical Systems USA, Inc. introduces a deployable CT with a rapid decontamination solution.
News | Computed Tomography (CT) | May 11, 2020
May 11, 2020 — In today’s challenging healthcare environment, radiology departments are often faced with the difficult...
Axial (A) and coronal (B) CT of the abdomen and pelvis with IV contrast in a 57-year-old man with a high clinical suspicion for bowel ischemia. There was generalized small bowel distension and segmental thickening (arrows), with adjacent mesenteric congestion (thin arrow in B), and a small volume of ascites (* in B). Findings are nonspecific but suggestive of early ischemia or infection.

Axial (A) and coronal (B) CT of the abdomen and pelvis with IV contrast in a 57-year-old man with a high clinical suspicion for bowel ischemia. There was generalized small bowel distension and segmental thickening (arrows), with adjacent mesenteric congestion (thin arrow in B), and a small volume of ascites (* in B). Findings are nonspecific but suggestive of early ischemia or infection. Image courtesy of RSNA

News | Coronavirus (COVID-19) | May 11, 2020
May 11, 2020 — Patients with COVID-19 can have bowel abnormalities, including ischemia, according to a new study...