Abstract
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.
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This work is supported by the National Science Council in Taiwan under the Grant NSC100-2221-E-007-078.
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© 2013 Springer-Verlag Berlin Heidelberg
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Yen, C., Su, HR., Lai, SH., Liu, KC., Lee, RR. (2013). 3D Spinal Cord and Nerves Segmentation from STIR-MRI. In: Pan, JS., Yang, CN., Lin, CC. (eds) Advances in Intelligent Systems and Applications - Volume 2. Smart Innovation, Systems and Technologies, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35473-1_39
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DOI: https://doi.org/10.1007/978-3-642-35473-1_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35472-4
Online ISBN: 978-3-642-35473-1
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