An automatic measurement method of spinal curvature on ultrasound coronal images in adolescent idiopathic scoliosis

Wei Wei Jiang, Xin Xin Zhong, Guang Quan Zhou, Qiu Guan, Yong Ping Zheng, Sheng Yong Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)776-788
Number of pages13
JournalMathematical Biosciences and Engineering
Volume17
Issue number1
DOIs
Publication statusPublished - 1 Jan 2020

Keywords

  • AUtomatic measurement
  • Phase congruency
  • Scoliosis
  • Segmentation
  • Ultrasound

ASJC Scopus subject areas

  • Modelling and Simulation
  • General Agricultural and Biological Sciences
  • Computational Mathematics
  • Applied Mathematics

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