Inter- and intra-scan variability for lung imaging quantifications via CT

Sachin S. Shankar; Eric A. Hoffman; Jarron Atha; Jessica C. Sieren; Ehsan Samei; Ehsan Abadi

doi:10.1117/12.2613191

4 April 2022 Inter- and intra-scan variability for lung imaging quantifications via CT

Sachin S. Shankar, Eric A. Hoffman, Jarron Atha, Jessica C. Sieren, Ehsan Samei, Ehsan Abadi

Proceedings Volume 12031, Medical Imaging 2022: Physics of Medical Imaging; 120312C (2022) https://doi.org/10.1117/12.2613191
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

CT imaging provides physicians valuable insights when diagnosing disease in a clinical setting. In order to provide an accurate diagnosis, is it important to have a high accuracy with controlled variability across CT scans from different scanners and imaging parameters. The purpose of this study was to analyze variability of lung imaging biomarkers across various scanners and parameters using a customized version of a commercially available anthropomorphic chest Phantom (Kyoto Kagaku) with several experimental sample inserts. The phantom was across 10 different CT scanners with a total of 209 imaging conditions. An algorithm was developed to compute different imaging biomarkers. Variability across images from the same scanner and from different scanners was analyzed by computing coefficients of variation (CV) and standard deviations of HU values. LAA -950 and LAA -856 biomarkers had the highest levels of variability, while the majority of other biomarkers had variability less than 10 HU or 10% CV in both inter and intrascan measurements. There was no clear trend present between the biomarker measurements and CTDIvol. The results of this study demonstrates the existing variability in CT quantifications for lung imaging, which prompt further studies on how to reduce such variation.

Citation Download Citation

Sachin S. Shankar, Eric A. Hoffman, Jarron Atha, Jessica C. Sieren, Ehsan Samei, and Ehsan Abadi "Inter- and intra-scan variability for lung imaging quantifications via CT", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120312C (4 April 2022); https://doi.org/10.1117/12.2613191

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available