Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility Journal Article

   


Authors: Midya, A.; Chakraborty, J.; Gönen, M.; Do, R. K. G.; Simpson, A. L.
Article Title: Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility
Abstract: High-dimensional imaging features extracted from diagnostic imaging, called radiomics, are increasingly reported for diagnosis, prognosis, and response to therapy. Establishing the sensitivity of radiomic features to variation in scan protocols is necessary because acquisition and reconstruction parameters can vary widely across and within institutions. Our objective was to assess the reproducibility of radiomic features derived from computed tomography (CT) images by varying tube current (mA), noise index, and reconstruction [adaptive statistical iterative reconstruction (ASiR)], parameters increasingly varied by institutions seeking to reduce radiation dose in their patients. We extracted radiomic features from CT images of a uniform water phantom, anthropomorphic phantom, and a human scan. Scans were acquired from the phantoms with six tube currents (50, 100, 200, 300, 400, and 500 mA) and five noise index levels (12, 14, 16, 18, and 20), respectively. Scans of the phantoms and patient were reconstructed from 0% ASiR (i.e., filtered back projection) to 100% ASiR in increments of 10%. Two hundred and forty-eight well-known radiomic features were extracted from all scans. The concordance correlation coefficient was used to assess agreement of features. Our analysis suggests that image acquisition parameters (tube current, noise index) as well as the reconstruction technique strongly influence radiomic feature reproducibility and demonstrate a subset of reproducible features potentially usable in clinical practice. © 2018 Society of Photo-Optical Instrumentation Engineers (SPIE).
Keywords: reproducibility; exture analysis; omputed tomography; ose reduction; uantitative imaging
Journal Title: Journal of Medical Imaging
Volume: 5
Issue: 1
ISSN: 2329-4302
Publisher: SPIE  
Date Published: 2018-01-01
Start Page: 011020
Language: English
DOI: 10.1117/1.jmi.5.1.011020
PROVIDER: scopus
PMCID: PMC5812985
PUBMED: 29487877
DOI/URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042224561&doi=10.1117%2f1.JMI.5.1.011020&partnerID=40&md5=99881907ba840597724235cd9697263d
Notes: Article -- Export Date: 1 March 2018 -- Source: Scopus
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MSK Authors
  1. Mithat Gonen
    1028 Gonen
  2. Kinh Gian Do
    256 Do
  3. Amber L Simpson
    64 Simpson
  4. Jayasree Chakraborty
    69 Chakraborty
  5. Abhishek Midya
    17 Midya
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