Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets

Dong, Xiao; Zheng, Guoyan (2015). Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets. In: Yao, J.; Glocker, B.; Klinder, T.; Li, S. (eds.) Recent Advances in Computational Methods and Clinical Applications for Spine Imaging. Lecture Notes in Computational Vision and Biomechanics: Vol. 20 (pp. 131-142). Cham: Springer International Publishing 10.1007/978-3-319-14148-0_12

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This paper proposed an automated 3D lumbar intervertebral disc (IVD)
segmentation strategy from MRI data. Starting from two user supplied landmarks,
the geometrical parameters of all lumbar vertebral bodies and intervertebral discs
are automatically extracted from a mid-sagittal slice using a graphical model based
approach. After that, a three-dimensional (3D) variable-radius soft tube model of the
lumbar spine column is built to guide the 3D disc segmentation. The disc segmentation
is achieved as a multi-kernel diffeomorphic registration between a 3D template
of the disc and the observed MRI data. Experiments on 15 patient data sets showed
the robustness and the accuracy of the proposed algorithm.

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