Automation of methods for extracting a vascular system from CT-data for use in medical simulation applications
In this thesis an application for extraction and verification of anatomical data for use in Men- tice Procedicus VIST has been implemented. The data sources are three dimensional data sets received from scans of human bodies using Computer Tomography- (CT) 1 and Magnetic Resonance (MRI) 2 scanners. Mentice Proceducis VIST is a medical simulator with the aim of providing surgeons an environment for practicing endovascular surgery. In order to create a sim- ulator case from a patient case, Mentice relies on manual modeling of the anatomical structures using 3D scans of the patient as key. This thesis utilizes algorithms for extraction of center lines and parsing them to a hierarchical structure of curves with radiuses, representing the vascular system where the hierarchy represents the blood flow direction. In addition to automated meth- ods, this application also features a user interface for visualization of the vascular system as well as editing capabilities for adjusting the vascular system.
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