Variability of Cobb angle measurement from digital X-ray image based on different de-noising techniques
by Jhilam Mukherjee; Raka Kundu; Amlan Chakrabarti
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 16, No. 2, 2014

Abstract: Scoliosis is a 3D deformity of the spine, which is characterised by both lateral curvature and vertebral rotation. Cobb angle measurement is the golden method for diagnosis of scoliosis. With the increasing trend of digital imaging-based diagnosis system, computerised Cobb angle measurement is gaining much popularity. In general, digital X-ray images are very sensitive to noise, so a good pre-processing step for noise removal is necessary to increase the accuracy and reduce the variability of computerised Cobb angle measurement method. In this paper, we have presented a review work on computerised Cobb angle measurement from digital X-ray images based on the different popular state-of-the-art de-noising techniques. This study helps in selecting the de-noising technique that best suits with different steps of the Cobb angle method and generates a more reliable angular measurement. This type of study based on de-noising technique for reducing Cobb angle measurement variability is the first of its kind. MATLAB2011Rb image processing toolbox was used for the simulation and verification of our proposed methodology.

Online publication date: Sat, 25-Apr-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com