Medical image analysis, MRI, fMRI, brain functionality, segmentation, deformable registration.
Cytoarchitectonic information (cell structure, density, type) can be used to differentiate between areas of the brain which are distinguishable only by their cellular structure. This micro-architecture is a good indicator of distinct functional areas, and a probability map based on cytoarchitecture can be used to relate activation observed in functional MRI (fMRI) of live subjects to the cellular structure of the brain. Unfortunately, previously available probability maps for the primary auditory cortex (PAC) were unfocused due to the registration process. By focusing on just the region of interest (ROI), and using high-dimensional warping, the cytoarchitectonic data can be registered more accurately. Furthermore, the effect of intersubject variability can be minimized by creating custom probability maps for each live fMRI subject.
L. Bailey, P. Abolmaesumi, I. Johnsrude, "Deformable Registration of Cytoarchitectonic Probability Maps" , 2nd Canadian Student Conference on Biomedical Computing, University of Western Ontario, March 2007.
L. Bailey, P. Abolmaesumi, J. Tam, P. Morosan, R. Cusack, K. Amunts, I. Johnsrude, "Customised cytoarchitectonic probability maps using deformable registration: Primary auditory cortex", Proceedings of International Conference on Medical Image Computing and Computer Assisted Intervention - MICCAI, Springer Verlag, pp. 760-768, 2007.