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3D Spinal Cord and Nerves Segmentation from STIR-MRI.
Conference paper

3D Spinal Cord and Nerves Segmentation from STIR-MRI.

C. Yen, H.R. Su, S.H. Lai, K.C. Liu and R.R. Lee
Springer Advances in Intelligent Systems and Applications, (383), p.392
2012

Abstract

STIR-MRI;spinal cord segmentation;random walker algorithm;3D point set registration;3D affine Fourier transform;surface reconstruction
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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