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9 March 2011Segmentation of vertebral bodies in CT and MR images based on 3D
deterministic models
The evaluation of vertebral deformations is of great importance in clinical diagnostics and therapy of pathological
conditions affecting the spine. Although modern clinical practice is oriented towards the computed tomography (CT) and
magnetic resonance (MR) imaging techniques, as they can provide a detailed 3D representation of vertebrae, the
established methods for the evaluation of vertebral deformations still provide only a two-dimensional (2D) geometrical
description. Segmentation of vertebrae in 3D may therefore not only improve their visualization, but also provide reliable
and accurate 3D measurements of vertebral deformations. In this paper we propose a method for 3D segmentation of
individual vertebral bodies that can be performed in CT and MR images. Initialized with a single point inside the
vertebral body, the segmentation is performed by optimizing the parameters of a 3D deterministic model of the vertebral
body to achieve the best match of the model to the vertebral body in the image. The performance of the proposed method
was evaluated on five CT (40 vertebrae) and five T2-weighted MR (40 vertebrae) spine images, among them five are
normal and five are pathological. The results show that the proposed method can be used for 3D segmentation of
vertebral bodies in CT and MR images and that the proposed model can describe a variety of vertebral body shapes. The
method may be therefore used for initializing whole vertebra segmentation or reliably describing vertebral body
deformations.
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Darko Štern, Tomaž Vrtovec, Franjo Pernuš, Boštjan Likar, "Segmentation of vertebral bodies in CT and MR images based on 3D deterministic models," Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79620D (9 March 2011); https://doi.org/10.1117/12.877365