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.

Experts developing AI model that learns from calcium-scoring CT scans
The team hopes to develop a model that will estimate a patient's risk of major cardiovascular events and predict when such events are most likely to occur.
New cardiac prevention paradigm explored in TRANSFORM trial using AI and CCTA
Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.
Cardiologists to highlight the many benefits of AI-powered CCTA evaluations
Two renowned cardiologists are teaming up to explore the short- and long-term impact of using advanced AI platforms to evaluate coronary CCTA results for signs of coronary artery disease.
Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage
Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.
Deep learning reconstruction cuts radiation and contrast dose by half in aortic CTA exams
A new analysis in Academic Radiology dives into the importance of finding balance between reducing radiation exposure while maintaining image quality.

Example of a curved MPR image reconstruction of entire length of of a coronary artery on a cardiac CT scan to better show calcified and soft plaque burden inside the vessel. The thumbnail dots on the left side of the image are cross sectional views of the vessel. Siemens example on the expo floor.

The CCTA Playbook: A Guide to Coding, Reimbursement and Operations

A compendium of the business intelligence required to launch a CCTA service

Be Mindful of the Stark Law in CCTA Alliances

Numerous radiology groups are currently discussing arrangements whereby cardiologists and the radiologists would essentially split the responsibilities for reading coronary CT angiography (CCTA) studies. Most commonly, as proposed, the cardiologists would read and generate a signed interpretation report, but limited to the cardiac portion of the

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Radiology Business

Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Health Imaging

Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.