Automatic Measurement of Spine Curvature on 3-D Ultrasound Volume Projection Image With Phase Features

• Published in: IEEE transactions on medical imaging Vol. 36; no. 6; pp. 1250 - 1262
• Main Authors: Zhou, Guang-Quan, Jiang, Wei-Wei, Lai, Ka-Lee, Zheng, Yong-Ping
• Format: Journal Article
• Language: English
• Published: United States IEEE 01-06-2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3-D ultrasound; Algorithms; Asymmetry; Automation; Biomedical measurement; Cobb angle; Columns (structural); Correlation; Curvature; Diagnosis; Feature extraction; Humans; Image segmentation; Imaging; Imaging, Three-Dimensional; Inflection points; Mathematical analysis; phase congruency; Phase measurement; Projection; Scoliosis; Screening; Spine; Symmetry; thresholding; Ultrasonic imaging; Ultrasonic variables measurement; Ultrasonography; Ultrasound; Vertebrae; volume projection imaging; X-Rays
• ISSN: 0278-0062; 1558-254X
• DOI: 10.1109/TMI.2017.2674681

This paper presents an automated measurement of spine curvature by using prior knowledge on vertebral anatomical structures in ultrasound volume projection imaging (VPI). This method can be used in scoliosis assessment with free-hand 3-D ultrasound imaging. It is based on the extraction of bony features from VPI images using a newly proposed two-fold thresholding strategy, with information of the symmetric and asymmetric measures obtained from phase congruency. The spinous column profile is detected from the segmented bony regions, and it is further used to extract a curve representing spine profile. The spine curvature is then automatically calculated according to the inflection points along the curve. The algorithm was evaluated on volunteers with the different severity of scoliosis. The results obtained using the newly developed method had a good linear correlation with those by the manual method (r ≥ 0.90, p <; 0.001) and X-ray Cobb's method (r = 0.83, p <; 0.001). The bigger variations observed in the manual measurement also implied that the automatic method is more reliable. The proposed method can be a promising approach for facilitating the applications of 3-D ultrasound imaging in the diagnosis, treatment, and screening of scoliosis.