Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96202
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dc.contributorDepartment of Biomedical Engineeringen_US
dc.creatorZhou, GQen_US
dc.creatorJiang, WWen_US
dc.creatorLai, KLen_US
dc.creatorZheng, YPen_US
dc.date.accessioned2022-11-14T04:06:52Z-
dc.date.available2022-11-14T04:06:52Z-
dc.identifier.issn0278-0062en_US
dc.identifier.urihttp://hdl.handle.net/10397/96202-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication G. -Q. Zhou, W. -W. Jiang, K. -L. Lai and Y. -P. Zheng, "Automatic Measurement of Spine Curvature on 3-D Ultrasound Volume Projection Image With Phase Features," in IEEE Transactions on Medical Imaging, vol. 36, no. 6, pp. 1250-1262, June 2017, is available at https://doi.org/10.1109/TMI.2017.2674681.en_US
dc.subject3-D ultrasounden_US
dc.subjectCobb angleen_US
dc.subjectPhase congruencyen_US
dc.subjectScoliosisen_US
dc.subjectThresholdingen_US
dc.subjectVolume projection imagingen_US
dc.titleAutomatic measurement of spine curvature on 3-D ultrasound volume projection image with phase featuresen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1250en_US
dc.identifier.epage1262en_US
dc.identifier.volume36en_US
dc.identifier.issue6en_US
dc.identifier.doi10.1109/TMI.2017.2674681en_US
dcterms.abstractThis paper presents an automated measurement of spine curvature by using prior knowledge on vertebral anatomical structures in ultrasound volume projection imaging (VPI). This method can be used in scoliosis assessment with free-hand 3-D ultrasound imaging. It is based on the extraction of bony features from VPI images using a newly proposed two-fold thresholding strategy, with information of the symmetric and asymmetric measures obtained from phase congruency. The spinous column profile is detected from the segmented bony regions, and it is further used to extract a curve representing spine profile. The spine curvature is then automatically calculated according to the inflection points along the curve. The algorithm was evaluated on volunteers with the different severity of scoliosis. The results obtained using the newly developed method had a good linear correlation with those by the manual method (r \ge 0.90, p < 0.001 and X-ray Cobb's method (r =0.83, p < 0.001). The bigger variations observed in the manual measurement also implied that the automatic method is more reliable. The proposed method can be a promising approach for facilitating the applications of 3-D ultrasound imaging in the diagnosis, treatment, and screening of scoliosis.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on medical imaging, June 2017, v. 36, no. 6, 7864407, p. 1250-1262en_US
dcterms.isPartOfIEEE transactions on medical imagingen_US
dcterms.issued2017-06-
dc.identifier.scopus2-s2.0-85021433268-
dc.identifier.pmid28252393-
dc.identifier.eissn1558-254Xen_US
dc.identifier.artn7864407en_US
dc.description.validate202211 bcwwen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B3-0404, a3096-
dc.identifier.SubFormID49604-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextPolyU152220/14E, PolyU5332/07E; Hong Kong Polytechnic University, PolyU: 1-ZE23; Chinese University of Hong Kong, CUHK; Innovation and Technology Commission - Hong Kong: UIM213en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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