• bhoomika p
• Thabitha janumala
• K.B Ramesh

Scoliosis characterized by a side-by-side spine curvature >2cm, is the most common 3-D spinal disorder affecting adolescents 10-18 years of age . scoliosis is the musculoskeletal disease of which it can bend it like ‘S’ or ‘C’ shaped . scoliosis analysis and detection based in the two main parameter thoracic trunk shift and coronal balance .Thoracic trunk shift refers to C7 plumb line to vertical trunk reference line coronal balance refers to the shifted from its normal position. Based on these two parameter whether the shift taken or not. The truncal shift can be find it out by the manual and automatic method where as in manual method by drawing the lines normal to abnormal the difference between these two lines will be the distance how much shift taken. In automatic method not drawing the lines when we applied the scoliosis affected image then will get the exact value .one drawback of this manually method is that we are not getting the exact value , in automatic method we may expect a exact value. Automatic method can be done by artificial neural network or convolutional neural network algorithm to find the truncal in scoliosis .the main goal of this paper to find the truncal imbalance in scoliosis x-ray image. The feature work is done by automating the manually method using the dataset , train and test the model.

Truncal imbalance, Coronal balance, Vertical Trunk reference line, Artificial neural network

"Measurement of Truncal imbalance in scoliosis X-ray image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.14-16, April-2020, Available :http://www.jetir.org/papers/JETIR2004004.pdf

"Measurement of Truncal imbalance in scoliosis X-ray image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp14-16, April-2020, Available at : http://www.jetir.org/papers/JETIR2004004.pdf