Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine

We propose a completely automated algorithm for the detection of the spinal centreline and the centres of vertebral bodies and intervertebral discs in images acquired by computed tomography (CT) and magnetic resonance (MR) imaging. The developed methods are based on the analysis of the geometry of spinal structures and the characteristics of CT and MR images and were evaluated on 29 CT and 13 MR images of lumbar spine. The overall mean distance between the obtained and the ground truth spinal centrelines and centres of vertebral bodies and intervertebral discs were 1.8 +/- 1.1 mm and 2.8 +/- 1.9 mm, respectively, and no considerable differences were detected among the results for CT, T(1)-weighted MR and T(2)-weighted MR images. The knowledge of the location of the spinal centreline and the centres of vertebral bodies and intervertebral discs is valuable for the analysis of the spine. The proposed method may therefore be used to initialize the techniques for labelling and segmentation of vertebrae.

[1]  Robert C. Bolles,et al.  Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.

[2]  M M Panjabi,et al.  Human Lumbar Vertebrae: Quantitative Three-Dimensional Anatomy , 1992, Spine.

[3]  Michael Egmont-Petersen,et al.  A knowledge-based approach to automatic detection of the spinal cord in CT images , 2002, IEEE Transactions on Medical Imaging.

[4]  Zhigang Peng,et al.  Automated Vertebra Detection and Segmentation from the Whole Spine MR Images , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[5]  F. Pernus,et al.  Automated curved planar reformation of 3D spine images , 2005, Physics in medicine and biology.

[6]  László G. Nyúl,et al.  Method for Automatically Segmenting the Spinal Cord and Canal from 3D CT Images , 2005, CAIP.

[7]  Shang-Hong Lai,et al.  Robust local intervertebral disc alignment for spinal MRI , 2006, SPIE Medical Imaging.

[8]  D. Kaech,et al.  Imaging‐based planning for spine surgery , 2006, Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy.

[9]  André Mastmeyer,et al.  A hierarchical 3D segmentation method and the definition of vertebral body coordinate systems for QCT of the lumbar spine , 2006, Medical Image Anal..

[10]  Rangaraj M. Rangayyan,et al.  Method for the automatic detection and segmentation of the spinal canal in computed tomographic images , 2006, J. Electronic Imaging.

[11]  Bostjan Likar,et al.  Automated generation of curved planar reformations from MR images of the spine. , 2007, Physics in medicine and biology.

[12]  Sebastian P. M. Dries,et al.  Spine Detection and Labeling Using a Parts-Based Graphical Model , 2007, IPMI.

[13]  Jinbo Bi,et al.  Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI , 2007, IPMI.

[14]  Jason J. Corso,et al.  Lumbar Disc Localization and Labeling with a Probabilistic Model on Both Pixel and Object Features , 2008, MICCAI.

[15]  Wade R. Smith,et al.  External fixation: how to make it work. , 2007, Instructional course lectures.

[16]  Gali Dar,et al.  Vertebral body shape variation in the thoracic and lumbar spine: Characterization of its asymmetry and wedging , 2008, Clinical anatomy.

[17]  Bostjan Likar,et al.  Quantitative analysis of spinal curvature in 3D: application to CT images of normal spine , 2008, Physics in medicine and biology.

[18]  Dongsung Kim,et al.  A fully automatic vertebra segmentation method using 3D deformable fences , 2009, Comput. Medical Imaging Graph..

[19]  Joachim Hornegger,et al.  Computer-Aided Assessment of Anomalies in the Scoliotic Spine in 3-D MRI Images , 2009, MICCAI.

[20]  Bostjan Likar,et al.  Automated determination of spinal centerline in CT and MR images , 2009, Medical Imaging.

[21]  Cristian Lorenz,et al.  Automated model-based vertebra detection, identification, and segmentation in CT images , 2009, Medical Image Anal..

[22]  K. Bridwell,et al.  What's new in spine surgery. , 2005, The Journal of bone and joint surgery. American volume.