Feature-based morphometry: Discovering group-related anatomical patterns

  title={Feature-based morphometry: Discovering group-related anatomical patterns},
  author={Matthew Toews and William M. Wells and D. Louis Collins and Tal Arbel},
This paper presents feature-based morphometry (FBM), a new fully data-driven technique for discovering patterns of group-related anatomical structure in volumetric imagery. In contrast to most morphometry methods which assume one-to-one correspondence between subjects, FBM explicitly aims to identify distinctive anatomical patterns that may only be present in subsets of subjects, due to disease or anatomical variability. The image is modeled as a collage of generic, localized image features… CONTINUE READING
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