Visualization of dense line data
PhD ceremony: Mr. M.H. Everts, 12.45 uur, Aula Academiegebouw, Broerstraat 5, Groningen
Dissertation: Visualization of dense line data
Promotor(s): prof. J.B.T.M. Roerdink
Facultey: Mathematics and Natural Sciences
This thesis addresses the visualization of dense lines. Such collections of dense lines present themselves in various domains, two of which we describe in this thesis. The first domain is medical science where dense lines in the form of DTI fiber tracts are used to provide insight into the structure of the white matter of the brain. The other domain is numerical mathematics, where streamlines are used to provide information about the structure and behavior of fluids and gases in flow simulations. Naïvely visualizing such collections of dense lines typically results in a cluttered, uninformative view. To address this problem, this thesis provides four contributions for the visualization of dense lines.
The first is a fast new method for extracting fiber tracts from DTI data. The main idea is to convert the underlying data to a large graph and to apply Dijkstra's shortest path algorithm to that graph. In the next chapter we introduce a new visualization method for dense lines that is based on traditional illustrative techniques. The resulting visualizations resemble hand-drawn black-and-white illustrations. In the chapter that follows we describe a method for creating abstract representations of dense lines that can help in understanding the global structure. In the last chapter we introduce a flexible line style model for visualizing streamlines.
Last modified: | 13 March 2020 01.11 a.m. |
More news
-
23 April 2024
Nine MSCA Doctoral Network grants for FSE researchers
Nine researchers of the Faculty of Science and Engineering have received a Horizon Europe Marie Sklodowska Curie Doctoral Network grant.
-
22 April 2024
Charissa Roossien secures JTF subsidy to develop Health Tracker
Dr. Charissa Roossien (ENTEG) has successfully secured a Just Transition Fund (JTF) subsidy of 1.8 million euros to develop a Health Tracker for reliable respiratory and metabolic analysis.
-
16 April 2024
UG signs Barcelona Declaration on Open Research Information
In a significant stride toward advancing responsible research assessment and open science, the University of Groningen has officially signed the Barcelona Declaration on Open Research Information.