Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/67146
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Biomedical Engineering | en_US |
dc.creator | Zhou, GQ | en_US |
dc.creator | Jiang, WW | en_US |
dc.creator | Lai, KL | en_US |
dc.creator | Lam, TP | en_US |
dc.creator | Cheng, JCY | en_US |
dc.creator | Zheng, YP | en_US |
dc.date.accessioned | 2017-05-22T02:29:36Z | - |
dc.date.available | 2017-05-22T02:29:36Z | - |
dc.identifier.issn | 1680-0737 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/67146 | - |
dc.description | MEDICON 2016 : 14th Mediterranean Conference on Medical and Biological Engineering and Computing, Mar 31-Apr 2, 2016, Paphos, Cyprus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © Springer International Publishing Switzerland 2016 | en_US |
dc.rights | This 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_67 | en_US |
dc.subject | Scoliosis | en_US |
dc.subject | Freehand 3-D ultrasound | en_US |
dc.subject | Volume projection imaging | en_US |
dc.subject | Polynomial curve fitting | en_US |
dc.title | Semi-automatic measurement of scoliotic angle using a freehand 3-D ultrasound system scolioscan | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 341 | en_US |
dc.identifier.epage | 346 | en_US |
dc.identifier.volume | 57 | en_US |
dc.identifier.doi | 10.1007/978-3-319-32703-7_67 | en_US |
dcterms.abstract | Ultrasound 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.accessRights | open access | en_US |
dcterms.bibliographicCitation | IFMBE Proceedings, 2016, v. 57, p. 341-346 | en_US |
dcterms.isPartOf | IFMBE Proceedings | en_US |
dcterms.issued | 2016 | - |
dc.identifier.isi | WOS:000376283000067 | - |
dc.relation.conference | Mediterranean Conference on Medical and Biological Engineering and Computing [MEDICON] | en_US |
dc.description.validate | 202205 | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | BME-0243 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | Hong Kong Research Grants Council; Hong Kong Innovation and Technology Fund | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 9573163 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Lai_Semi-automatic_Measurement_Scoliotic.pdf | Pre-Published version | 1.15 MB | Adobe PDF | View/Open |
Page views
167
Last Week
0
0
Last month
Citations as of Apr 14, 2025
Downloads
78
Citations as of Apr 14, 2025
SCOPUSTM
Citations
3
Last Week
0
0
Last month
Citations as of Jun 21, 2024
WEB OF SCIENCETM
Citations
1
Last Week
0
0
Last month
Citations as of May 8, 2025

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