A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation

@article{Korez2015AFF,
  title={A Framework for Automated Spine and Vertebrae Interpolation-Based Detection and Model-Based Segmentation},
  author={Robert Korez and Bulat Ibragimov and Bostjan Likar and Franjo Pernus and Tomaz Vrtovec},
  journal={IEEE Transactions on Medical Imaging},
  year={2015},
  volume={34},
  pages={1649-1662}
}
Automated and semi-automated detection and segmentation of spinal and vertebral structures from computed tomography (CT) images is a challenging task due to a relatively high degree of anatomical complexity, presence of unclear boundaries and articulation of vertebrae with each other, as well as due to insufficient image spatial resolution, partial volume effects, presence of image artifacts, intensity variations and low signal-to-noise ratio. In this paper, we describe a novel framework for… CONTINUE READING

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