An Automated Region-Selection Method for Adaptive ALARA Ultrasound Imaging-Reference-Cited by-同舟云学术

An Automated Region-Selection Method for Adaptive ALARA Ultrasound Imaging

Published:2022-07 Issue:7 Volume:69 Page:2257-2269
ISSN:0885-3010
Container-title:IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
language:
Short-container-title:IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

Author:

Flint Katelyn M.¹^ORCID,Barre Emily C.¹^ORCID,Huber Matthew T.¹,McNally Patricia J.²,Ellestad Sarah C.³^ORCID,Trahey Gregg E.¹

Affiliation:

1. Department of Biomedical Engineering, Duke University, Durham, NC, USA

2. Department of Women’s and Children’s Services, Duke University Hospital, Durham, NC, USA

3. Division of Maternal-Fetal Medicine, Duke University School of Medicine, Durham, NC, USA

Funder

National Institute of Biomedical Imaging and Bioengineering

National Science FoundationGraduate Research Fellowship Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation

Link

Reference27 articles.

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4. Adaptive Models for Multi-Covariate Imaging of Sub-Resolution Targets (MIST);IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control;2022-07