Journal article
Inter- and intra-scan variability for lung imaging quantifications via CT
Proceedings of SPIE, the international society for optical engineering, Vol.12031, pp.120312C-120312C-10
01/01/2022
DOI: 10.1117/12.2613191
PMCID: PMC9087481
PMID: 35547179
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 intra-scan 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.
Details
- Title: Subtitle
- Inter- and intra-scan variability for lung imaging quantifications via CT
- Creators
- Sachin S. Shankar - Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Department of Electrical and Computer Engineering, Duke University Department of Radiology, University of Iowa Department of Biomedical Engineering, University of IowaEric A. Hoffman - University of IowaJarron Atha - Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Department of Electrical and Computer Engineering, Duke University Department of Radiology, University of Iowa Department of Biomedical Engineering, University of IowaJessica C. Sieren - University of IowaEhsan Samei - Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Department of Electrical and Computer Engineering, Duke University Department of Radiology, University of Iowa Department of Biomedical Engineering, University of IowaEhsan Abadi - Center for Virtual Imaging Trials, Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Department of Electrical and Computer Engineering, Duke University Department of Radiology, University of Iowa Department of Biomedical Engineering, University of Iowa
- Resource Type
- Journal article
- Publication Details
- Proceedings of SPIE, the international society for optical engineering, Vol.12031, pp.120312C-120312C-10
- DOI
- 10.1117/12.2613191
- PMID
- 35547179
- PMCID
- PMC9087481
- NLM abbreviation
- Proc SPIE Int Soc Opt Eng
- eISBN
- 1510649387; 9781510649385
- ISSN
- 0277-786X
- eISSN
- 1996-756X
- Language
- English
- Date published
- 01/01/2022
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318801002771
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