Novel Indexing of Dynamic Brain Images:

1
Novel Indexing of Dynamic Brain Images Brodmann
vector similarity and comparison tool
Ulukbek Ibraev, Nicu D. Cornea Sponsored by NSF
Grant EIA-0205178. P.B. Kantor (PI), S.J. Hanson
(Co-PI).
Brodmann Vectors and distance matrix
Brodmann Vector
Brodmann Areas

• Each component of this vector corresponds to one
  of the different Brodmann areas.
• The value in each component represents the
  percentage of the respective Brodmann area
  covered by the active voxels.

Activated areas in the brain

• We compute the Brodmann vector for each
  experiment
• We compute the similarity between pairs of
  Brodmann vectors
• COS of the angle between the two vectors
• Euclidean distance between the two vectors viewed
  as points in the 47-dim space

Image of the distance matrix between every pair
of experiments.
A Visualization Tool for fMRI Data Mining
Front end for data mining engine

• Data Operations Panel
• Analysis results viewed as
• clusters
• Clusters mapped to
• rows/cols of similarity table
• Similarity table shows
• similarity scores

Comparison Tool
Find experiments similar to this one
How, Why are these similar ?

• Visual comparison of the results of different
  analysis methods
• See how different analysis methods compare
• (w.r.t. results)
• Allows developers to compare the results of
  their method with
• other available methods

• Visualization Panel
• Shows pairs of clusters