Computed Tomography

Computed tomography (CT) is a fast and accurate imaging modality often used in emergency settings and trauma imaging. CT scans, with or without (or both) iodinated contrast are frequently used to image the brain, chest, abdomen and pelvis, but also have post-imaging reconstructive capabilities for detailed orthopedic imaging. It is now a standard imaging modality in emergency rooms to quickly assess patients. CT uses a series of X-ray images shot as the gantry rotates around the patient. Computer technology assembles these into into a dataset volume than can be slices on any access, or advanced visualization software can extract specific parts of the anatomy for study. Find more content specific to cardiac CT.

A CT coronary calcium scoring exam at Northwestern Medicine's Central DuPage Hospital in the Chicago Suburbs. Dave Fornell

Trends in the number of radiology studies and a decline in radiation dose

A special report in Radiology offers a rare overview of the number of radiology exams performed each year worldwide and focuses on the decline of associated radiation doses patients receive.

December 19, 2022
An example of artificial intelligence (AI) automated detection of a intracranial hemorrhage (ICH) in. a CT scan used to send alerts to the stroke acute care team before a radiologist even sees the exam. Example shown by TeraRecon at RSNA 2022.

VIDEO: Radiology AI aids acute care and other departments

Sanjay Parekh, PhD, senior market analyst with Signify Research, explains how some radiology AI is being adopted outside of radiology departments to improve care.

December 15, 2022
AI is still one of the key technologies on the floor that many radiologists want to learn more about. A product rep discussing breast automated detection AI in the crowded Lunit booth at RSNA 2022.

9 technology trends and takeaways from RSNA 2022

Here are some interesting new technologies and key trends from the vast expo floor at the Radiological Society of North America 2022 meeting.

December 6, 2022
A GE Revolution CT system on display at the 2022 Society of cardiovascular Computed Tomography (SCCT) meeting is an example of the types of the systems being sought in the U.S. and Western Europe replacement CT market. It features AI enhanced features to automate protocol and help reduce dose, 160 mm of anatomical coverage per rotation and offers spectral imaging using fast kV switching between different energies during one scan.

Trends and new technology in computed tomography systems

Leading up to the 2022 RSNA meeting, Signify Research shares the trends and new innovations in CT scanner technology it has seen in recent years.

November 1, 2022
Left, HeartFlow's RoadMap analysis enables cardiac CT readers to identify stenoses in the major coronary arteries. The AI provides visualization and quantification of the location and severity of anatomic narrowings. Right image, HeartFlow's Plaque Analysis AI algorithm automates assessment of coronary plaque characteristics and volume on CCTA exams to greatly reduce the time it takes to manually assess and quantify these features.

HeartFlow gains FDA clearance for 2 new AI-powered imaging assessments

The solutions, Plaque Analysis and RoadMap Analysis, both use coronary CT angiography to provide clinicians with a noninvasive look at patients who present with coronary artery disease and face a heightened myocardial infarction risk.

October 18, 2022
Ischemic stroke shown in CT scans. Image courtesy of RSNA

VIDEO: AI for stroke detection on CT imaging

Bibb Allen, MD, FACR, chief medical officer of the American College of Radiology (ACR) Data Science Institute, explains the trend of using AI for the automated detection of stroke on computed tomography (CT) imaging and the need to include radiologists on the stroke care team.

August 30, 2022
Example of an artificial intelligence (AI) app store on the Sectra website, where Sectra PACS users can select the AI algorithms they want that are already integrated into the Sectra System. Other vendors have followed a similar approach to AI developed by many smaller vendors they partner with.

VIDEO: Development of AI app stores to enable easier access

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.
 

August 16, 2022
Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains artificial intelligence (AI) for radiology. Dreyer also holds the positions of vice chairman of radiology at Massachusetts General Hospital, chief data science and information officer for the departments of radiology for both Massachusetts General Hospital and Brigham and Women's Hospital.

VIDEO: Where will radiology AI be in 5 years?

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains 5 developments to watch for in radiology artificial intelligence (AI).

August 16, 2022

Around the web

The agency is urging healthcare providers to transition away from these devices and seek out alternatives. It is even working with other manufacturers to try and get similar products on the market as quickly as possible. 

Jeffrey Kuvin, MD, one of the leading voices behind efforts to create a new Board of Cardiovascular Medicine, spoke with Cardiovascular Business about where things stand today.

Half a year after President Biden officially directed federal agencies in the executive branch’s bailiwick to “seize the promise and manage the risks” of AI, the White House has posted a status report.

Trimed Popup
Trimed Popup