Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-24610
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Feasibility of a method for low contrast CT image quality assessment using difference detail curves for abdominal scans
Authors: Sommer, Christian
Özden, Ismail
Weyland, Mathias S
Duran, Carolina
Lutters, Gerd
Scheidegger, Stephan
et. al: No
DOI: 10.1016/j.zemedi.2022.01.001
10.21256/zhaw-24610
Published in: Zeitschrift für Medizinische Physik
Volume(Issue): 32
Issue: 2
Page(s): 209
Pages to: 217
Issue Date: 17-Feb-2022
Publisher / Ed. Institution: Elsevier
ISSN: 0939-3889
1876-4436
Language: English
Subjects: CT image quality; CT phantom; Difference detail curve; Low contrast CT
Subject (DDC): 510: Mathematics
616: Internal medicine and diseases
Abstract: This work describes a measurement method for assessing dose-related image-quality of CT scans based on the difference detail curve (DDC) method, and showcases its use in a low contrast setting. The method is based on a phantom consisting of elliptical slices of different sizes into which contrast object modules can be inserted. These modules contain contrast objects based on (synthetic) resin mixtures with sucrose (native) or sodium iodine (contrast medium). Mixing ratios are provided to achieve a range of clinically relevant CT-numbers with these materials. The phantom is characterized in terms of contrast accuracy, energy dependency and long-term drift with satisfying results. Contrast accuracy and energy dependency are similar to that of water or soft tissue. Image quality of 655 scans of the phantom acquired at 30 different clinical institutions and with 16 different CT scanner models from 4 manufacturers was assessed by calculating a difference detail curve (DDC) from evaluation of up to 5 human observers using a custom-made software (RadiVates) described in this work. Based on these measurements, inter-observer variability was quantified using a bootstrap method and was shown to be a large contributor to the overall variability. This work demonstrates that assessment of CT image quality is feasible with the aforementioned phantom and DDC method.
URI: https://digitalcollection.zhaw.ch/handle/11475/24610
Fulltext version: Accepted version
License (according to publishing contract): CC BY-NC-ND 4.0: Attribution - Non commercial - No derivatives 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Applied Mathematics and Physics (IAMP)
Appears in collections:Publikationen School of Engineering

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