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.

Investigation into patient's death after contrast injection begins

The man's wife told the court that he had undergone similar scans multiple times before and had never experienced any sort of adverse reaction. 

deep learning algorithm slashes radiation dose during neck CT scans

Deep learning denoising software can cut radiation exposure to 25% of conventional doses during neck CT

And the dose reduction can be achieved without sacrificing image quality, a new analysis shows.

AI software improves diagnosis of lung conditions when contrast cannot be used

New software could improve diagnosis of lung conditions for patients who cannot tolerate contrast dye

The machine learning-based software uses a formula called the Integrated Jacobian Formulation to calculate lung volume based on metrics derived from imaging taken during inhalation and exhalation. 

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Head CTs could present an opportunity to screen for osteoporosis

In individuals who have not completed a DEXA scan, head CT conducted for other reasons can offer insight into patients’ frontal bone density, a potential marker of osteoporosis.

medical imaging carbon emissions climate change

PET is an energy hog, but relatively rare utilization lessens its carbon footprint. MRI and CT have no such ‘out’

Medical imaging machinery uses a lot of power, and the extent to which it quickens the pace of global warming is becoming clearer.

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AI automation could 'revolutionize' Crohn's Disease severity CT assessments

Machine learning models could help create a more standardized, reproducible and efficient way of grading Crohn’s disease severity in the small bowel based on CT imaging. 

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New publicly available deep learning model for CT organ segmentation in children shows promise

The model was developed and validated specifically for liver, spleen and pancreas segmentation, and outperformed a publicly available segmentation model already in use.

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A significant amount of imaging orders in emergency settings are inappropriate

A general lack of awareness pertaining to ACR appropriateness criteria could be a driving factor behind the misguided requisitions, authors of a new analysis suggest. 

Around the web

The nuclear imaging isotope shortage of molybdenum-99 may be over now that the sidelined reactor is restarting. ASNC's president says PET and new SPECT technologies helped cardiac imaging labs better weather the storm.

CMS has more than doubled the CCTA payment rate from $175 to $357.13. The move, expected to have a significant impact on the utilization of cardiac CT, received immediate praise from imaging specialists.

The newly cleared offering, AutoChamber, was designed with opportunistic screening in mind. It can evaluate many different kinds of CT images, including those originally gathered to screen patients for lung cancer. 

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