Universität zu Köln

Parakh, Anushri ORCID: 0000-0002-4778-2383, An, Chansik ORCID: 0000-0002-0484-6658, Lennartz, Simon, Rajiah, Prabhakar ORCID: 0000-0001-7538-385X, Yeh, Benjamin M., Simeone, Frank J., Sahani, Dushyant, V and Kambadakone, Avinash R. (2021). Recognizing and Minimizing Artifacts at Dual-Energy CT. Radiographics, 41 (2). S. 509 - 524. OAK BROOK: RADIOLOGICAL SOC NORTH AMERICA. ISSN 0271-5333

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Abstract

Dual-energy CT (DECT) is an exciting innovation in CT technology with profound capabilities to improve diagnosis and add value to patient care. Significant advances in this technology over the past decade have improved our ability to successfully adopt DECT into the clinical routine. To enable effective use of DECT, one must be aware of the pitfalls and artifacts related to this technology. Understanding the underlying technical basis of artifacts and the strategies to mitigate them requires optimization of scan protocols and parameters. The ability of radiologists and technologists to anticipate their occurrence and provide recommendations for proper selection of patients, intravenous and oral contrast media, and scan acquisition parameters is key to obtaining good-quality DECT images. In addition, choosing appropriate reconstruction algorithms such as image kernel, postprocessing parameters, and appropriate display settings is critical for preventing quantitative and qualitative interpretive errors. Therefore, knowledge of the appearances of these artifacts is essential to prevent errors and allows maximization of the potential of DECT. In this review article, the authors aim to provide a comprehensive and practical overview of possible artifacts that may be encountered at DECT across all currently available commercial clinical platforms. They also provide a pictorial overview of the diagnostic pitfalls and outline strategies for mitigating or preventing the occurrence of artifacts, when possible. The broadening scope of DECT applications necessitates up-to-date familiarity with these technologies to realize their full diagnostic potential. (C) RSNA, 2021

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Parakh, Anushri UNSPECIFIED orcid.org/0000-0002-4778-2383 UNSPECIFIED An, Chansik UNSPECIFIED orcid.org/0000-0002-0484-6658 UNSPECIFIED Lennartz, Simon UNSPECIFIED UNSPECIFIED UNSPECIFIED Rajiah, Prabhakar UNSPECIFIED orcid.org/0000-0001-7538-385X UNSPECIFIED Yeh, Benjamin M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Simeone, Frank J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Sahani, Dushyant, V UNSPECIFIED UNSPECIFIED UNSPECIFIED Kambadakone, Avinash R. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-594985
DOI:	10.1148/rg.2021200049
Journal or Publication Title:	Radiographics
Volume:	41
Number:	2
Page Range:	S. 509 - 524
Date:	2021
Publisher:	RADIOLOGICAL SOC NORTH AMERICA
Place of Publication:	OAK BROOK
ISSN:	0271-5333
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language COMPUTED-TOMOGRAPHY; ITERATIVE RECONSTRUCTION; IODINE QUANTIFICATION; WINDOW SETTINGS; DETECTOR CT; ACCURACY; PITFALLS; FEASIBILITY; EXPERIENCE; REDUCTION Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/59498