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
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
921-935Informations 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.