Literature DB >> 28252393

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

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Abstract

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.

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Year:  2017        PMID: 28252393     DOI: 10.1109/TMI.2017.2674681

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  7 in total

Review 1.  Reliability and validity of lateral curvature assessments using clinical ultrasound for the patients with scoliosis: a systematic review.

Authors:  Hui-Dong Wu; Wei Liu; Man-Sang Wong
Journal:  Eur Spine J       Date:  2020-01-10       Impact factor: 3.134

2.  Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images.

Authors:  S Latha; P Muthu; Samiappan Dhanalakshmi; R Kumar; Khin Wee Lai; Xiang Wu
Journal:  Comput Intell Neurosci       Date:  2022-05-12

Review 3.  A Review of the Methods on Cobb Angle Measurements for Spinal Curvature.

Authors:  Chen Jin; Shengru Wang; Guodong Yang; En Li; Zize Liang
Journal:  Sensors (Basel)       Date:  2022-04-24       Impact factor: 3.847

4.  Phase asymmetry ultrasound despeckling with fractional anisotropic diffusion and total variation.

Authors:  Kunqiang Mei; Bin Hu; Baowei Fei; Binjie Qin
Journal:  IEEE Trans Image Process       Date:  2019-11-19       Impact factor: 10.856

Review 5.  Machine Learning in Ultrasound Computer-Aided Diagnostic Systems: A Survey.

Authors:  Qinghua Huang; Fan Zhang; Xuelong Li
Journal:  Biomed Res Int       Date:  2018-03-04       Impact factor: 3.411

Review 6.  A Survey of Methods and Technologies Used for Diagnosis of Scoliosis.

Authors:  Ilona Karpiel; Adam Ziębiński; Marek Kluszczyński; Daniel Feige
Journal:  Sensors (Basel)       Date:  2021-12-16       Impact factor: 3.576

7.  Automatic Myotendinous Junction Tracking in Ultrasound Images with Phase-Based Segmentation.

Authors:  Guang-Quan Zhou; Yi Zhang; Ruo-Li Wang; Ping Zhou; Yong-Ping Zheng; Olga Tarassova; Anton Arndt; Qiang Chen
Journal:  Biomed Res Int       Date:  2018-03-19       Impact factor: 3.411

  7 in total

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