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Geodesic Information Flows: Information propagation and its application to segmentation, fusion and data synthesis

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If you have a question about this talk, please contact Nicholas Morgan .

Homogenising the availability of augmentative information, such as voxel-wise binary or probabilistic tissue segmentations, and structural parcelations, in large databases has been a critical challenge of medical imaging for many years. Due to the time consuming nature of generating these extra sources of knowledge, the available information tends to be scarce and many times limited to small and morphologically/pathologically similar subsets of data. This talk will explore a novel framework, called Geodesic Information Flows, in which information can be transferred between morphologically dissimilar images by diffusing and mapping the available information through intermediate steps. I’ll illustrate the utility of the proposed framework for three applications: brain parcelation using fusion of categorical labels, tissue segmentation using probabilistic models and image synthesis.

This talk is part of the Department of Psychiatry & CPFT Thursday Lunchtime Seminar series.

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