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Utility of an automatic adaptive iterative metal artifact reduction AiMAR algorithm in improving CT imaging of patients with hip prostheses evaluated for suspected bladder malignancy

Crossref DOI link: https://doi.org/10.1007/s00261-022-03475-8

Published Online: 2022-03-23

Published Print: 2022-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Mohammadinejad, Payam

Khandelwal, Ashish

Inoue, Akitoshi https://orcid.org/0000-0002-8610-2571
Takahashi, Hiroaki

Yalon, Mariana https://orcid.org/0000-0001-7032-4068
Long, Zaiyang

Halaweish, Ahmed F.

Leng, Shuai

Yu, Lifeng

Lee, Yong S.

McCollough, Cynthia H.

Fletcher, Joel G. https://orcid.org/0000-0002-8941-5434
Funding

Funding for this research was provided by:

siemens healthineers
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Text and Data Mining valid from 2022-03-23

Version of Record valid from 2022-03-23
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Article History

Received: 4 August 2021

Revised: 22 February 2022

Accepted: 23 February 2022

First Online: 23 March 2022

Declarations

:

: Ahmed Halaweish is an employee of Siemens Medical Solutions USA. Drs. McCollough and Fletcher receive grant support to their institution from Siemens Healthcare GmbH, which provided the offline computer workstation, and iterative metal artifact reduction software and automatic adaptive iterative metal artifact reduction software examined in this work.

: This study was compliant with the Health Insurance Portability and Accountability Act (HIPAA).

: The Institutional Review Board approved the study protocol and waived the requirement for informed consent for the use of this retrospective data. All patients permitted the use of their clinical records for research purposes according to Minnesota Research Authorization status.

: N/A

: Additional declarations for articles in life science journals report the results of studies involving humans and/or animals.

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