Kirby Research Center

Figure: The above figure shows a reconstructed gray/white surface of a temporal lobe depicting Heschl's Gyrus (HG, green), Superior Temporal Gyrus (STG, blue), Planum Temporale (PT, bounded by green, blue and magenta lines), Planum Temporale with extension (TPT+, bounded by red curve). Original curves were tracked by dynamic programming. (Figure from Ratnanather et al, NeuroImage 2003, vol 20[1]).

The Center's fourth core technology is Computational Anatomy. This technology features the development of methods for determining anatomical coordinates in structural and functional maps.

To accomplish this, the Kirby Center has established a partnership with experts from the Center for Imaging Science. This relationship supports the development of algorithmic methods for anatomical brain analysis relevant to fMRI, MRSI, and DTI techniques. Related Publications.

The specific aims for algorithm development and implementation are:
* Neocortical Bayesian cortical segmentation with the incorporation of surface geometry
* Cortical surface reconstruction via deformable templates and isocantouring
* Sulcus, gyrus, and geodesic curve generation on the surface geometry via dynamic programming
* Diffeomorphic sulcus and gyral curve matching
* Diffeomorphic spherical and flat map coordinate surface matching
* Diffeomorphic intrinsic surface matching
* Deep nuclei volume and landmark matching

<- NEURONAL TRACKING	ACTIVE PROJECTS ->

Center for Imaging Science For more information about computational anatomy, please see Center of Imaging Science; Michael Miller, Director and Professor of Biomedical Engineering, Johns Hopkins University.
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