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.



FULL STORY ==========================================================================
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 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2020/08/200825160553.htm

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