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Title: Semi-automatic measurement of scoliotic angle using a freehand 3-D ultrasound system scolioscan
Authors: Zhou, GQ 
Jiang, WW 
Lai, KL 
Lam, TP
Cheng, JCY
Zheng, YP 
Issue Date: 2016
Source: IFMBE Proceedings, 2016, v. 57, p. 341-346
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.
Keywords: Scoliosis
Freehand 3-D ultrasound
Volume projection imaging
Polynomial curve fitting
Publisher: Springer
Journal: IFMBE Proceedings 
ISSN: 1680-0737
DOI: 10.1007/978-3-319-32703-7_67
Description: MEDICON 2016 : 14th Mediterranean Conference on Medical and Biological Engineering and Computing, Mar 31-Apr 2, 2016, Paphos, Cyprus
Rights: © Springer International Publishing Switzerland 2016
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 (, 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:
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