engleski

Computational histology image analysis of human cerebral cortex cytoarchitectonics

The structure of the cerebral cortex is defined by organization and distribution of neurons in the tissue. Today, most investigations in brain cytoarchitectonics are not automatized and require significant involvement of the researcher, which is very time consuming and may introduce significant bias. This type of analysis may not be accurate enough or reveal enough information about the structure of the tissue. Brain tissue forms complex structures whose organization and distribution may be reliably revealed only using systematic computational approach. The goal of this dissertation is development of novel computational methods for automatic and objective analysis of histological images of human brain suitable for advanced and fast analysis of brain cytoarchitectonics and laminar structure. The methods were developed aiming for a completely data-driven approach, with as little assumptions about the data as possible. Quantitative analysis of neuronal distribution and exploration of underlying principles of varia- tion that facilitate parcellation of cortical layers resulted in novel framework and methodology for cellular-level investigations of brain tissue.

image analysis ; computation histology ; image processing

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