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.

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

Getty Images

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...
Facilitates timely patient workup to allow for activation of COVID-19 related protocols
News | Coronavirus (COVID-19) | May 08, 2020
May 8, 2020 — Aidoc announced that the U.S. Food and Drug Administration (FDA) has allowed the use of their cleared AI...
Videos | Coronavirus (COVID-19) | May 07, 2020
Interview with Geoffrey Rose, M.D., president of Sanger Heart and Vascular Institute with Atrium Health, in Charlotte,...
Figure 4 for the study. Images of a 65-year-old man (patient 6). (a) Cardiac MRI perfusion shows perfusion deficit of anterior/anterolateral wall attributed to left anterior descending artery/left circumflex artery (*). (b) CT coronary angiography. (c) Coronary angiography, left anterior oblique projection with caudal angulation. (d) Three-dimensional image fusion helped refine diagnosis: perfusion deficits (*) were most likely caused by narrow first diagonal branch and its first, stented side branch.

Figure 4 for the study. Images of a 65-year-old man (patient 6). (a) Cardiac MRI perfusion shows perfusion deficit of anterior/anterolateral wall attributed to left anterior descending artery/left circumflex artery (*). (b) CT coronary angiography. (c) Coronary angiography, left anterior oblique projection with caudal angulation. (d) Three-dimensional image fusion helped refine diagnosis: perfusion deficits (*) were most likely caused by narrow first diagonal branch and its first, stented side branch (arrowhead). Retrospectively, denoted lesion could also be found at CT coronary angiography and coronary angiography (arrowheads in b and c, respectively). CT FFR = CT-derived fractional flow reserve, LGE = late gadolinium enhancement. Image courtesy of RSNA, Radiology.

News | Cardiac Imaging | May 04, 2020
May 4, 2020 – A new technique that combines computed tomography (CT) and magnetic resonance imaging MRI can bolster...
A complex multicompartmental cerebral hemorrhage on a single axial CT image displayed using the annotation tool in a single portal window. Hemorrhage labels (left column) relevant to the image display on the bottom of the image once selected. ASNR = American Society of Neuroradiology RSNA = Radiological Society of North America.

A complex multicompartmental cerebral hemorrhage on a single axial CT image displayed using the annotation tool in a single portal window. Hemorrhage labels (left column) relevant to the image display on the bottom of the image once selected. ASNR = American Society of Neuroradiology RSNA = Radiological Society of North America. Image courtesy of RSNA

News | Artificial Intelligence | April 30, 2020
April 30, 2020 — An unprecedented collaboration among two medical societies and over 60 volunteer neuroradiologists has...
Dual and multi-energy CT market to reach $2.6 Bn by 2029, ongoing COVID-19 pandemic to offer potential growth avenues
News | Computed Tomography (CT) | April 28, 2020
April 28, 2020 — Expanding patient pool suffering from cancer, cardiovascular diseases, and dental and orthopedic...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 RADLogics announced new worldwide deployments and installations of the company’s AI-powered solution to support chest computed tomography (CT) imaging for COVID-19 (Coronavirus) patients.
News | Coronavirus (COVID-19) | April 21, 2020
April 21, 2020 — RADLogics announced new worldwide deployments and installations of the company’s AI-powered solution...
Videos | Coronavirus (COVID-19) | April 18, 2020
Stephen Bloom, M.D., FASNC, director of noninvasive cardiology (cardiac CT, nuclear cardiology and echocardiography) at...
PTW announces first North American installation and FDA 510(k) clearance of Beamscan MR motorized 3-D water phantom

PTW Beamscan MR for Elekta Unity

News | Radiation Oncology | April 17, 2020
April 17, 2020 — PTW has installed the first Beamscan MR motorized 3-D water phantom in North America at the Princess...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 According to the 10 authors from multiple institutions across the US who reviewed the most frequently cited studies on the subject: 'Test performance and management issues arise when inappropriate and potentially overreaching conclusions regarding the diagnostic performance of CT for COVID-19 pneumonia are based on low-quality studies with biased cohorts, confounding variables, and faulty design characteristics.

According to the 10 authors from multiple institutions across the US who reviewed the most frequently cited studies on the subject: 'Test performance and management issues arise when inappropriate and potentially overreaching conclusions regarding the diagnostic performance of CT for COVID-19 pneumonia are based on low-quality studies with biased cohorts, confounding variables, and faulty design characteristics. Image courtesy of American Journal of Roentgenology (AJR)

News | Coronavirus (COVID-19) | April 17, 2020
April 17, 2020 — To date, the radiology literature on coronavirus disease (COVID-19) pneumonia has consisted of limited...
#COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2 U.S. Army Spc. Jonathon Hyde and Spc. Casymn Harrison from the 1434th Engineer Company, Grayling, Mich., Michigan National Guard, prepare patient rooms at TCF Regional Care Center in Detroit in advance of receiving COVID-19 patients, April 9, 2020 #COVID19 #Coronavirus #2019nCoV #Wuhanvirus #SARScov2

U.S. Army Spc. Jonathon Hyde and Spc. Casymn Harrison from the 1434th Engineer Company, Grayling, Mich., Michigan National Guard, prepare patient rooms at TCF Regional Care Center in Detroit in advance of receiving COVID-19 patients, April 9, 2020. The TCF Center in Detroit has been converted into a 970-bed alternative care facility for COVID-19 patients by the Federal Emergency Management Agency, in partnership with the U.S. Army Corps of Engineers and Michigan National Guard. (Photo courtesy of U.S. Air National Guard photo by Master Sgt. Scott Thompson)

Feature | Coronavirus (COVID-19) | April 15, 2020 | By Melinda Taschetta-Millane and Dave Fornell
In an effort to keep the imaging field updated on the latest information being released on coronavirus (COVID-19), the...
Maps of stiffness (storage modulus) in uniform-concentration sample (left) and sample with harder inclusion (right) (sample: polyacrylamide gel). It can be seen that harder inclusion is clearly visible in spite that its concentration is only slightly different from the surrounding matrix. Note that such a slight difference cannot be discerned by typical X-ray radiography for medical diagnostics.

Maps of stiffness (storage modulus) in uniform-concentration sample (left) and sample with harder inclusion (right) (sample: polyacrylamide gel). It can be seen that harder inclusion is clearly visible in spite that its concentration is only slightly different from the surrounding matrix. Note that such a slight difference cannot be discerned by typical X-ray radiography for medical diagnostics. Image courtesy of Wataru Yashiro, the Institute of Multidisciplinary Research for Advanced Materials (IMRAM), Tohoku University

News | X-Ray | April 10, 2020
April 10, 2020 — We all learned in school that the beams from X-ray machines pass right through soft tissues like skin...
Videos | Computed Tomography (CT) | April 09, 2020
Jeffrey Bundy, Ph.D., chief executive officer, United Imaging in the United States, explains the company's efforts to...