Zpracování objemových dat pro CT enterografii

Horáček, Jan

Title: Volumetric data processing for CT enterography Author: Jan Horáček Department: Department of Software and Computer Science Education Supervisor: RNDr. Josef Pelikán, Department of Software and Computer Sci- ence Education Abstract: The overall goal of our work is to develop algorithms for efficient processing, segmentation and tracking of the small intestine in CT enterography scans. The small intestine is a complex organ, the shape of which can vary con- siderably between patients: and in addition to this, its location and shape can change significantly between subsequent scans of the same person. The CT en- terography process uses contrast agents to improve the visibility of the intestine, so that various potentially problematic features, such as inflammations, obstruc- tions and so on, can be properly seen. However, due to the convoluted shape of the organ, manual diagnosis of raw CT enterography data is still a difficult and time-consuming task, and is prone to diagnostic errors. We have prepared a set of methods for automatic preprocessing, segmentation and tracking of such data that aims at providing a much clearer data visualization: such tools can greatly improve the diagnostic process. Our first contribution is to make a high quality denoising method for volumet- ric data practically usable: so...

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