Genetic algorithm search for the worst‐case MRI RF exposure for a multiconfiguration implantable fixation system modeled using artificial neural networks-Reference-Cited by-同舟云学术

Genetic algorithm search for the worst‐case MRI RF exposure for a multiconfiguration implantable fixation system modeled using artificial neural networks

Published:2020-05-27 Issue:5 Volume:84 Page:2754-2764
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Zheng Jianfeng¹^ORCID,Lan Qianlong¹,Kainz Wolfgang²,Long Stuart A.¹,Chen Ji¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering University of Houston Houston Texas USA

2. Center for Devices and Radiological Health, Food and Drug Administration Rockville Maryland USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28319

Reference18 articles.

1. Prepolarized magnetic resonance imaging around metal orthopedic implants

2. Impact of capped and uncapped abandoned leads on the heating of an MR-conditional pacemaker implant

3. Parallel radiofrequency transmission at 3 tesla to improve safety in bilateral implanted wires in a heterogeneous model

4. Retrospective analysis of RF heating measurements of passive medical implants

5. Thermal Tissue Damage Model Analyzed for Different Whole-Body SAR and Scan Durations for Standard MR Body Coils

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