Browsing by Author "Abadi, Ehsan"

Now showing items 1-6 of 6

A comparison of COVID-19 and imaging radiation risk in clinical patient populations.

Ria, Francesco; Fu, Wanyi; Chalian, Hamid; Abadi, Ehsan; Segars, Paul W; Fricks, Rafael; Khoshpouri, Pegah; ... (8 authors) (J Radiol Prot, 2020-10-07)

OBJECTIVE: The outbreak of coronavirus SARS-COV2 affected more than 180 countries necessitating fast and accurate diagnostic tools. Reverse transcriptase polymerase chain reaction (RT-PCR) has been identified as a gold standard ...
Development and Application of Realistic Anatomical and Imaging Models for Virtual Clinical Trials in Computed Tomography

Abadi, Ehsan (2018)

The purpose of this dissertation was to develop comprehensive toolsets for performing quality based virtual clinical trials in computed tomography. The developed toolsets in this dissertation enable rigorous quantification ...
Modeling Patient-Informed Liver Contrast Perfusion in Contrast-enhanced Computed Tomography.

Setiawan, Hananiel; Ria, Francesco; Abadi, Ehsan; Fu, Wanyi; Smith, Taylor B; Samei, Ehsan (J Comput Assist Tomogr, 2020-11)

OBJECTIVE: To determine the correlation between patient attributes and contrast enhancement in liver parenchyma and demonstrate the potential for patient-informed prediction and optimization of contrast enhancement in liver ...
Scientific Abstracts and Sessions

Ria, Francesco; Smith, Taylor; Abadi, Ehsan; Solomon, Justin; Samei, ehsan (Medical Physics, 2020-06)

Purpose Image quality estimation in CT is crucial for technology assessment, procedure optimization, and overall radiological benefit evaluation, with noise magnitude playing a key role. Over the years, several methods have ...
Validation of algorithmic CT image quality metrics with preferences of radiologists

Cheng, Yuan; Abadi, Ehsan; Smith, Taylor Brunton; Ria, Francesco; Meyer, Mathias; Marin, Daniele; Samei, Ehsan (MEDICAL PHYSICS, 2019-11-01)
Validation of Algorithmic CT Image Quality Metrics with Preferences of Radiologists.

Cheng, Yuan; Abadi, Ehsan; Smith, Taylor Brunton; Ria, Francesco; Meyer, Mathias; Marin, Daniele; Samei, Ehsan (Medical physics, 2019-08-29)

PURPOSE:Automated assessment of perceptual image quality on clinical Computed Tomography (CT) data by computer algorithms has the potential to greatly facilitate data-driven monitoring and optimization of CT image acquisition ...