Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67146
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Biomedical Engineeringen_US
dc.creatorZhou, GQen_US
dc.creatorJiang, WWen_US
dc.creatorLai, KLen_US
dc.creatorLam, TPen_US
dc.creatorCheng, JCYen_US
dc.creatorZheng, YPen_US
dc.date.accessioned2017-05-22T02:29:36Z-
dc.date.available2017-05-22T02:29:36Z-
dc.identifier.issn1680-0737en_US
dc.identifier.urihttp://hdl.handle.net/10397/67146-
dc.descriptionMEDICON 2016 : 14th Mediterranean Conference on Medical and Biological Engineering and Computing, Mar 31-Apr 2, 2016, Paphos, Cyprusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.rights© Springer International Publishing Switzerland 2016en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-32703-7_67en_US
dc.subjectScoliosisen_US
dc.subjectFreehand 3-D ultrasounden_US
dc.subjectVolume projection imagingen_US
dc.subjectPolynomial curve fittingen_US
dc.titleSemi-automatic measurement of scoliotic angle using a freehand 3-D ultrasound system scolioscanen_US
dc.typeConference Paperen_US
dc.identifier.spage341en_US
dc.identifier.epage346en_US
dc.identifier.volume57en_US
dc.identifier.doi10.1007/978-3-319-32703-7_67en_US
dcterms.abstractUltrasound volume projection imaging (VPI), developed with free-hand 3-D ultrasound system, has been advanced to assess scoliosis, a medical condition defined as lateral spine curvature > 10°. Ultrasound VPI provides a coronal view of spine for manual measurement of spine curvature, achieving a performance comparable to the standard posteroanterior standing radiograph. However, the subjective manual measurements still restricted its wider applications in the diagnosis of scoliosis. In this study, we proposed a semi-automatic method to assess the spine curvature by using the polynomial curve fitting to the manual input curve points perceived on the spinous column profile in VPI images obtained from the Scolioscan, a freehand 3-D ultrasound system. The spine curvature angle was automatically calculated according to the inflection points on the curve. Totally 70 subjects (age: 15.9 +- 2.7 years) with different degrees of scoliosis were recruited to evaluate the performance of proposed semi-automatic measurement method. The curvatures obtained using the semi-automatic method had a significant correlation with those by the manual method (slope = 0.96, r = 0.9; p < 0.001). The proposed semi-automatic framework is capable of measuring the spine curvature based on the coronal images obtained with free-hand 3-D ultrasound system, expediting the application of Scolioscan in scoliosis diagnosis.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIFMBE Proceedings, 2016, v. 57, p. 341-346en_US
dcterms.isPartOfIFMBE Proceedingsen_US
dcterms.issued2016-
dc.identifier.isiWOS:000376283000067-
dc.relation.conferenceMediterranean Conference on Medical and Biological Engineering and Computing [MEDICON]en_US
dc.description.validate202205en_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBME-0243-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextHong Kong Research Grants Council; Hong Kong Innovation and Technology Funden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS9573163-
Appears in Collections:Conference Paper
Files in This Item:
File Description SizeFormat 
Lai_Semi-automatic_Measurement_Scoliotic.pdfPre-Published version1.15 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

128
Last Week
0
Last month
Citations as of Apr 21, 2024

Downloads

53
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

3
Last Week
0
Last month
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


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