CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing

@article{Xue2005CLASSICCL,
  title={CLASSIC: Consistent Longitudinal Alignment and Segmentation for Serial Image Computing},
  author={Zhong Xue and Dinggang Shen and Christos Davatzikos},
  journal={Information processing in medical imaging : proceedings of the ... conference},
  year={2005},
  volume={19},
  pages={
          101-13
        }
}
  • Z. Xue, D. Shen, C. Davatzikos
  • Published 10 July 2005
  • Computer Science
  • Information processing in medical imaging : proceedings of the ... conference
This paper proposes a temporally-consistent and spatially-adaptive longitudinal MR brain image segmentation algorithm, referred to as CLASSIC, which aims at obtaining accurate measurements of rates of change of regional and global brain volumes from serial MR images. The algorithm incorporates image-adaptive clustering, spatiotemporal smoothness constraints, and image warping to jointly segment a series of 3-D MR brain images of the same subject that might be undergoing changes due to… 
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51 Citations
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51 Citations

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