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3D Spinal Cord and Nerves Segmentation from STIR-MRI
Journal article

3D Spinal Cord and Nerves Segmentation from STIR-MRI

Chih Yen, Hong-Ren Su, Shang-Hong Lai, Kai-Che Liu and Ruen-Rone Lee
Smart Innovation, Systems and Technologies, Vol.21, pp.383-392
2013

Abstract

3D affine fourier transform 3D point set registration Random walker algorithm Spinal cord segmentation STIR-MRI Surface reconstruction
In this paper, we present a system for spinal cord and nerves segmentation from STIR-MRI. We propose an user interactive segmenta-tion method for 3D images, which is extended from the 2D random walker algorithm and implemented with a slice-section strategy. After obtain-ing 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 Imag-ing)images in three different views, and also display the reconstructed 3D surface model. © 2013 Springer-Verlag Berlin Heidelberg.

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