Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

@article{Zheng2017EvaluationAC,
  title={Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge},
  author={Guoyan Zheng and Chengwen Chu and Daniel L Belav{\'y} and Bulat Ibragimov and Robert Korez and Tomaz Vrtovec and Hugo Hutt and Richard Everson and Judith Meakin and Isabel Lopez Andrade and Ben Glocker and Hao Chen and Qi Dou and Pheng Ann Heng and Chunliang Wang and Daniel Forsberg and Ales Neubert and Jurgen Fripp and Martin Urschler and Darko {\vS}tern and Maria Wimmer},
  journal={Medical image analysis},
  year={2017},
  volume={35},
  pages={
          327-344
        }
}
The evaluation of changes in Intervertebral Discs (IVDs) with 3D Magnetic Resonance (MR) Imaging (MRI) can be of interest for many clinical applications. This paper presents the evaluation of both IVD localization and IVD segmentation methods submitted to the Automatic 3D MRI IVD Localization and Segmentation challenge, held at the 2015 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI2015) with an on-site competition. With the construction of a… CONTINUE READING
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Key Quantitative Results

  • Experimental results show that overall the best localization method achieves a mean localization distance of 0.82mm and the best segmentation method achieves a mean Dice of 91.8%, a mean average absolute distance of 1.08mm and a mean Hausdorff distance of 4.34mm, respectively.

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