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dc.contributor.authorJiang, WWen_US
dc.contributor.authorZhou, GQen_US
dc.contributor.authorLai, KLen_US
dc.contributor.authorHu, SYen_US
dc.contributor.authorGao, QYen_US
dc.contributor.authorWang, XYen_US
dc.contributor.authorZheng, YPen_US
dc.identifier.citationMathematical biosciences and engineering, 2019, v. 16, no. 3, p. 1067-1081en_US
dc.description.abstractApplying ultrasound for scoliosis assessment has been an attractive topic over the past decade. This study proposed a new fast 3-D ultrasound projection imaging method to evaluate the spine deformity. A narrow-band rendering method was used to generate the coronal images based on B-mode images and their corresponding positional data. The non-planar reslicing method, which followed the natural spine curve, was used to project the complete spine data into the coronal image. The repeatability of the new method was tested. A comparison experiment on the reconstructed images and the processing time between the conventional 3-D rendering method and the developed projection imaging method was also performed among 70 patients with scoliosis. The intra- and inter-operator tests results demonstrated very good repeatability (ICC ≥ 0.90). The mean processing times for the developed projection method and conventional rendering method were 15.07 ±0.03 s and 130.31 ±35.07 s, respectively. The angle measurement results showed a high correlation (y = 0.984x, r = 0.954) between the images obtained using the two methods. The above results indicated that the developed projection imaging method could greatly decrease the processing time while preserving the comparative image quality. It can be expected that this novel method may help to provide fast 3-D ultrasound diagnosis of scoliosis in clinics.en_US
dc.description.sponsorshipDepartment of Biomedical Engineeringen_US
dc.publisherAmerican Institute of Mathematical Sciencesen_US
dc.relation.ispartofMathematical biosciences and engineeringen_US
dc.rights© 2019 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (
dc.rightsThe following publication Wei-wei Jiang, Guang-quan Zhou, Ka-Lee Lai, Song-yu Hu, Qing-yu Gao, Xiao-yan Wang, Yong-ping Zheng. A fast 3-D ultrasound projection imaging method for scoliosis assessment. Mathematical Biosciences and Engineering, 2019, 16(3): 1067-1081 is available at
dc.subject3-D renderingen_US
dc.subjectClinical trialen_US
dc.subjectFast imagingen_US
dc.subjectScoliosis assessmenten_US
dc.titleA fast 3-D ultrasound projection imaging method for scoliosis assessmenten_US
dc.typeJournal/Magazine Articleen_US
dc.description.validate201906 bcma-
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