Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates

@inproceedings{Hofmanninger2017MappingMR,
  title={Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates},
  author={Johannes Hofmanninger and Bjoern H. Menze and Marc-Andr{\'e} Weber and Georg Langs},
  booktitle={DLMIA/ML-CDS@MICCAI},
  year={2017}
}
Population level analysis of medical imaging data relies on finding spatial correspondence across individuals as a basis for local comparison of visual characteristics. Here, we describe and evaluate a framework to normalize routine images covering different parts of the human body, in different modalities to a common reference space. The framework performs… CONTINUE READING