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Virtual imaging trials optimize CT, radiography for COVID-19

Date:
August 25, 2020
Source:
American Roentgen Ray Society
Summary:
A new article looks at the use of virtual imaging trials in effective assessment and optimization of CT and radiography acquisitions and analysis tools to help manage the coronavirus disease (COVID-19) pandemic.
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An open-access article in ARRS' American Journal of Roentgenology (AJR) established a foundation for the use of virtual imaging trials in effective assessment and optimization of CT and radiography acquisitions and analysis tools to help manage the coronavirus disease (COVID-19) pandemic.

Virtual imaging trials have two main components--representative models of targeted subjects and realistic models of imaging scanners--and the authors of this AJR article developed the first computational models of patients with COVID-19, while showing, as proof of principle, how they can be combined with imaging simulators for COVID-19 imaging studies.

"For the body habitus of the models," lead author Ehsan Abadi explained, "we used the 4D extended cardiac-torso (XCAT) model that was developed at Duke University."

Abadi and his Duke colleagues then segmented the morphologic features of COVID-19 abnormalities from 20 CT images of patients with multidiagnostic confirmation of SARS-CoV-2 infection and incorporated them into XCAT models.

"Within a given disease area, the texture and material of the lung parenchyma in the XCAT were modified to match the properties observed in the clinical images," Abadi et al. continued.

Using a specific CT scanner (Definition Flash, Siemens Healthineers) and validated radiography simulator (DukeSim) to help illustrate utility, the team virtually imaged three developed COVID-19 computational phantoms.

"Subjectively," the authors concluded, "the simulated abnormalities were realistic in terms of shape and texture," adding their preliminary results showed that the contrast-to-noise ratios in the abnormal regions were 1.6, 3.0, and 3.6 for 5-, 25-, and 50-mAs images, respectively.

 

 


Story Source:

Materials provided by American Roentgen Ray Society. Note: Content may be edited for style and length.


Journal Reference:

  1. Ehsan Abadi, W. Paul Segars, Hamid Chalian, Ehsan Samei. Virtual Imaging Trials for Coronavirus Disease (COVID-19). American Journal of Roentgenology, 2020; 1 DOI: 10.2214/AJR.20.23429

Cite This Page:

American Roentgen Ray Society. "Virtual imaging trials optimize CT, radiography for COVID-19." ScienceDaily. ScienceDaily, 25 August 2020. <www.sciencedaily.com/releases/2020/08/200825160553.htm>.
American Roentgen Ray Society. (2020, August 25). Virtual imaging trials optimize CT, radiography for COVID-19. ScienceDaily. Retrieved November 3, 2024 from www.sciencedaily.com/releases/2020/08/200825160553.htm
American Roentgen Ray Society. "Virtual imaging trials optimize CT, radiography for COVID-19." ScienceDaily. www.sciencedaily.com/releases/2020/08/200825160553.htm (accessed November 3, 2024).

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