Multi-Atlas-Based Segmentation With Local Decision Fusion—Application to Cardiac and Aortic Segmentation in CT Scans

@article{Isgum2009MultiAtlasBasedSW,
  title={Multi-Atlas-Based Segmentation With Local Decision Fusion—Application to Cardiac and Aortic Segmentation in CT Scans},
  author={Ivana Isgum and Marius Staring and Annemarieke Rutten and Mathias Prokop and Max A. Viergever and Bram van Ginneken},
  journal={IEEE Transactions on Medical Imaging},
  year={2009},
  volume={28},
  pages={1000-1010}
}
A novel atlas-based segmentation approach based on the combination of multiple registrations is presented. Multiple atlases are registered to a target image. To obtain a segmentation of the target, labels of the atlas images are propagated to it. The propagated labels are combined by spatially varying decision fusion weights. These weights are derived from local assessment of the registration success. Furthermore, an atlas selection procedure is proposed that is equivalent to sequential forward… CONTINUE READING
Highly Influential
This paper has highly influenced 15 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS