3D Spinal Cord and Nerves Segmentation from STIR-MRI
In this paper, we present a system for spinal cord and nerves segmentation from STIR-MRI. We propose an user interactive segmentation method for 3D images, which is extended from the 2D random walker algorithm and implemented with a slice-section strategy. After obtaining the 3D segmentation result, we build the 3D spinal cord and nerves model for each view using VTK, which is an open-source, freely available software. Then we obtain the point cloud of the spinal cord and nerves surface by registering the three surface models constructed from three STIR-MRI images of different directions. In the experimental results, we show the 3D segmentation results of spinal cord and nerves from the STIR-MRI (Short Tau Inversion Recovery - Magnetic Resonance Imaging)images in three different views, and also display the reconstructed 3D surface model.
KeywordsSTIR-MRI spinal cord segmentation random walker algorithm 3D point set registration 3D affine Fourier transform surface reconstruction
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- 4.Smyth, P.P., Taylor, C.J., Adams, J.E.: Automatic measurement of vertebral shape using active shape models. Image and Vision Computing, 705–714 (1996)Google Scholar
- 5.Brejl, M., Sonka, M.: Object localization and border detection criteria design in edge-based image segmentation: Automated learning from examples. IEEE Trans. Med. Imag., 973–985 (2000)Google Scholar
- 9.Cheng, Y.Y., Chang, H.M., Su, H.R., Lai, S.H., Liu, K.C., Lin, C.H.: 3D Liver Segmentation and Model Reconstruction from CT Images. iCBEB, 654–657 (2012)Google Scholar
- 10.Su, H.R., Lai, S.H.: CT-MR Image Registration in 3D K-Space Based on Fourier Moment Matching. PSIVT (2), 299–310 (2011)Google Scholar