Identification of Apical Vertebra for Grading of Idiopathic Scoliosis using Image Processing

Scoliosis is a 3-D deformity of spinal column, characterized by both lateral curvature and vertebral rotation. The disease can be caused by congenital, developmental, or degenerative problems; but most cases of scoliosis actually have no known cause, and this is known as idiopathic scoliosis. Vertebral rotation has become increasingly prominent in the study of scoliosis and the most deformed vertebra is named as apical vertebra. Apical vertebral deformity demonstrates significance in both preoperative and postoperative assessment, providing better appreciation of the impact of bracing or surgical interventions. Precise measurement of apical vertebral rotation in terms of grading is most valuable for the determination of reference value in normal and pathological conditions for better understanding of scoliosis. Routine quantitative evaluation of vertebral rotation is difficult and error prone due to limitations of observer characteristic and specific imaging property. This paper proposes automatic identification of the apical vertebra and its parameter that depends on the objective criteria of measurement using active contour models. The proposed technique is more accurate and is a reliable measurement compared to manual and computer-assisted system.

[1]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Junaed Sattar Snakes , Shapes and Gradient Vector Flow , 2022 .

[3]  M. Mehta Radiographic estimation of vertebral rotation in scoliosis. , 1973, The Journal of bone and joint surgery. British volume.

[4]  B. S. Richards,et al.  Measurement Error in Assessment of Vertebral Rotation Using the Perdriolle Torsionmeter , 1992, Spine.

[5]  B Drerup,et al.  Improvements in measuring vertebral rotation from the projections of the pedicles. , 1985, Journal of biomechanics.

[6]  S Aaro,et al.  Estimation of Vertebral Rotation and the Spinal and Rib Cage Deformity in Scoliosis by Computer Tomography , 1981, Spine.

[7]  Cobb,et al.  Outlines for the study of scoliosis , 1948 .

[8]  A. Schultz,et al.  Roentgenographic evaluation of vertebral rotation. , 1976, The Journal of bone and joint surgery. American volume.

[9]  F. Pernus,et al.  A review of methods for quantitative evaluation of spinal curvature , 2009, European Spine Journal.

[10]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[11]  David W. Polly,et al.  Reliability Analysis for Manual Adolescent Idiopathic Scoliosis Measurements , 2005, Spine.

[12]  Larry S. Davis,et al.  Hierarchical Part-Template Matching for Human Detection and Segmentation , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[13]  S J Dwyer,et al.  Computerized measurement and analysis of scoliosis: a more accurate representation of the shape of the curve. , 1980, Radiology.

[14]  B. S. Richards Measurement Error in Assessment of Vertebral Rotation Using the Perdriolle Torsionmeter , 1992, Spine.

[15]  C. L. Nash,et al.  A study of vertebral rotation. , 1969, The Journal of bone and joint surgery. American volume.

[16]  B Drerup,et al.  Principles of measurement of vertebral rotation from frontal projections of the pedicles. , 1984, Journal of biomechanics.

[17]  Jerry L. Prince,et al.  Snakes, shapes, and gradient vector flow , 1998, IEEE Trans. Image Process..

[18]  M S Moreland,et al.  Measurement of Axial Rotation of Vertebrae in Scoliosis , 1986, Spine.

[19]  金田 清志,et al.  American Academy of Orthopedic Surgeonsの学会に出席して , 1973 .