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

Text Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (747kB) | Request a copy

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.

Interest & Impact

Downloads

0 since deposited on 07 May 2015
0 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item