Image Analysis

After amassing so many images, the question is always: how do I analyze all this data? Most people require volumetric information about organs or substructures. The greyscale image does not yield such information immediately; the user must manually segment out the structure of interest. This can be done with either freeware (e.g. Display from the Montreal Neurological Institute) or commercially available software (e.g. Amira).

We are currently developing automated image registration techniques to obviate the need for manual segmentation and to incorporate other methodologies to analyze the images, such as shape and principle components. Please see here for preliminary work in constructing a mouse brain atlas.

A slice from a 3D data set showing manual segmentation of the cerebellum.

 

Other Links

Montreal Neurological Institute, Brain Imaging Centre http://www.bic.mni.mcgill.ca
Laboratory of Neuro Imaging, UCLA http://www.loni.ucla.edu
Amira http://www.amiravis.com