Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92963
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Biomedical Engineeringen_US
dc.creatorJiang, WWen_US
dc.creatorZhong, XXen_US
dc.creatorZhou, GQen_US
dc.creatorGuan, Qen_US
dc.creatorZheng, YPen_US
dc.creatorChen, SYen_US
dc.date.accessioned2022-05-26T02:34:46Z-
dc.date.available2022-05-26T02:34:46Z-
dc.identifier.issn1547-1063en_US
dc.identifier.urihttp://hdl.handle.net/10397/92963-
dc.language.isoenen_US
dc.publisherAmerican Institute of Mathematical Sciencesen_US
dc.rights©2020 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)en_US
dc.rightsThe following publication Jiang, W. W., Zhong, X. X., Zhou, G. Q., Guan, Q., Zheng, Y. P., & Chen, S. Y. (2020). An automatic measurement method of spinal curvature on ultrasound coronal images in adolescent idiopathic scoliosis. Math. Biosci. Eng, 17, 776-788 is available at https://doi.org/10.3934/mbe.2020040en_US
dc.subjectAutomatic measurementen_US
dc.subjectSscoliosisen_US
dc.subjectUltrasounden_US
dc.subjectSegmentationen_US
dc.subjectPhase congruencyen_US
dc.titleAn automatic measurement method of spinal curvature on ultrasound coronal images in adolescent idiopathic scoliosisen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage776en_US
dc.identifier.epage788en_US
dc.identifier.volume17en_US
dc.identifier.issue1en_US
dc.identifier.doi10.3934/mbe.2020040en_US
dcterms.abstractThis study proposed a new automatic measurement method of spinal curvature on ultrasound coronal images in adolescent idiopathic scoliosis (AIS). After preprocessing of Gaussian enhancement, the symmetric information of the image was extracted using the phase congruency. Then bony features were segmented from the soft tissues and background using the greyscale polarity. The morphological methods of image erosion and top-bottom-hat transformation, and geometric moment were utilized to identify the spinous column profile from the transverse processes. Finally, the spine deformity curve was obtained using robust regression. In-vivo experiments based on AIS patients were performed to evaluate the performance of the developed method. The comparison results revealed there was a significant correlation (y = 0.81x, r = 0.86) and good agreement between the new automatic method and the manual measurement method. It can be expected that this novel method may help to provide effective and objective deformity assessment method during the ultrasound scanning for AIS patients.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationMathematical biosciences and engineering, 2020, v. 17, no. 1, p. 776-788en_US
dcterms.isPartOfMathematical biosciences and engineeringen_US
dcterms.issued2020-
dc.identifier.scopus2-s2.0-85075114366-
dc.identifier.pmid31731376-
dc.description.validate202205 bcfcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberBME-0256-
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS15480803-
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Files in This Item:
File Description SizeFormat 
10.3934_mbe.2020040.pdf774.69 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

127
Last Week
4
Last month
Citations as of Nov 9, 2025

Downloads

122
Citations as of Nov 9, 2025

SCOPUSTM   
Citations

6
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

5
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.