Semi-automatic delineation of the spino-laminar junction curve on lateral x-ray radiographs of the cervical spine

Benjamin Narang; Michael Phillips; Karen Knapp; Andy Appelboam; Adam Reuben; Greg Slabaugh

doi:10.1117/12.2082036

20 March 2015 Semi-automatic delineation of the spino-laminar junction curve on lateral x-ray radiographs of the cervical spine

Benjamin Narang, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, Greg Slabaugh

Author Affiliations +

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 94132P (2015) https://doi.org/10.1117/12.2082036
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Assessment of the cervical spine using x-ray radiography is an important task when providing emergency room care to trauma patients suspected of a cervical spine injury. In routine clinical practice, a physician will inspect the alignment of the cervical spine vertebrae by mentally tracing three alignment curves along the anterior and posterior sides of the cervical vertebral bodies, as well as one along the spinolaminar junction. In this paper, we propose an algorithm to semi-automatically delineate the spinolaminar junction curve, given a single reference point and the corners of each vertebral body. From the reference point, our method extracts a region of interest, and performs template matching using normalized cross-correlation to find matching regions along the spinolaminar junction. Matching points are then fit to a third order spline, producing an interpolating curve. Experimental results demonstrate promising results, on average producing a modified Hausdorff distance of 1.8 mm, validated on a dataset consisting of 29 patients including those with degenerative change, retrolisthesis, and fracture.

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Benjamin Narang, Michael Phillips, Karen Knapp, Andy Appelboam, Adam Reuben, and Greg Slabaugh "Semi-automatic delineation of the spino-laminar junction curve on lateral x-ray radiographs of the cervical spine", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94132P (20 March 2015); https://doi.org/10.1117/12.2082036

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KEYWORDS

Spine

Image segmentation

Radiography

Injuries

X-rays

Image analysis

Bismuth

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