Ultrasound Bone Segmentation: A Scoping Review of Techniques and Validation Practices.

Computer-assisted diagnosis Computer-assisted surgery Scoping review Ultrasound bone segmentation

Journal

Ultrasound in medicine & biology
ISSN: 1879-291X
Titre abrégé: Ultrasound Med Biol
Pays: England
ID NLM: 0410553

Informations de publication

Date de publication:
04 2020
Historique:
received: 23 04 2019
revised: 04 12 2019
accepted: 11 12 2019
pubmed: 27 1 2020
medline: 20 8 2021
entrez: 27 1 2020
Statut: ppublish

Résumé

Ultrasound bone segmentation is an important yet challenging task for many clinical applications. Several works have emerged attempting to improve and automate bone segmentation, which has led to a variety of computational techniques, validation practices and applied clinical scenarios. We characterize this exciting and growing body of research by reviewing published ultrasound bone segmentation techniques. We review 56 articles in detail and categorize and discuss the image analysis techniques that have been used for bone segmentation. We highlight the general trends of this field in terms of clinical motivation, image analysis techniques, ultrasound modalities and the types of validation practices used to quantify segmentation performance. Finally, we present an outlook on promising areas of research based on the unaddressed needs for solving ultrasound bone segmentation.

Identifiants

pubmed: 31982208
pii: S0301-5629(19)31634-5
doi: 10.1016/j.ultrasmedbio.2019.12.014
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

921-935

Informations de copyright

Crown Copyright © 2019. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest disclosure The authors declare no competing interests.

Auteurs

Prashant U Pandey (PU)

Biomedical Engineering Department, University of British Columbia, Vacouver, British Columbia, Canada. Electronic address: prashant@ece.ubc.ca.

Niamul Quader (N)

Electrical and Computer Engineering Department, University of British Columbia, Vacouver, British Columbia, Canada.

Pierre Guy (P)

Department of Orthopaedics, University of British Columbia, Vacouver, British Columbia, Canada.

Rafeef Garbi (R)

Electrical and Computer Engineering Department, University of British Columbia, Vacouver, British Columbia, Canada.

Antony J Hodgson (AJ)

Mechanical Engineering Department, University of British Columbia, Vacouver, British Columbia, Canada.

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