Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92963
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Biomedical Engineering | en_US |
| dc.creator | Jiang, WW | en_US |
| dc.creator | Zhong, XX | en_US |
| dc.creator | Zhou, GQ | en_US |
| dc.creator | Guan, Q | en_US |
| dc.creator | Zheng, YP | en_US |
| dc.creator | Chen, SY | en_US |
| dc.date.accessioned | 2022-05-26T02:34:46Z | - |
| dc.date.available | 2022-05-26T02:34:46Z | - |
| dc.identifier.issn | 1547-1063 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/92963 | - |
| dc.language.iso | en | en_US |
| dc.publisher | American Institute of Mathematical Sciences | en_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.rights | The 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.2020040 | en_US |
| dc.subject | Automatic measurement | en_US |
| dc.subject | Sscoliosis | en_US |
| dc.subject | Ultrasound | en_US |
| dc.subject | Segmentation | en_US |
| dc.subject | Phase congruency | en_US |
| dc.title | An automatic measurement method of spinal curvature on ultrasound coronal images in adolescent idiopathic scoliosis | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.spage | 776 | en_US |
| dc.identifier.epage | 788 | en_US |
| dc.identifier.volume | 17 | en_US |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.doi | 10.3934/mbe.2020040 | en_US |
| dcterms.abstract | This 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.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Mathematical biosciences and engineering, 2020, v. 17, no. 1, p. 776-788 | en_US |
| dcterms.isPartOf | Mathematical biosciences and engineering | en_US |
| dcterms.issued | 2020 | - |
| dc.identifier.scopus | 2-s2.0-85075114366 | - |
| dc.identifier.pmid | 31731376 | - |
| dc.description.validate | 202205 bcfc | en_US |
| dc.description.oa | Version of Record | en_US |
| dc.identifier.FolderNumber | BME-0256 | - |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 15480803 | - |
| dc.description.oaCategory | CC | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 10.3934_mbe.2020040.pdf | 774.69 kB | Adobe PDF | View/Open |
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