In recent year, the acquisition of blood-flow information has gone far beyond elementary pulse and blood-pressure measurements. In particular, time-varying volumetric blood-flow velocity fields, also referred to as 4D blood-flow data, can be measured by magnetic resonance imaging (MRI), or modeled through computational fluid dynamics (CFD) simulations. These dense and continuous flow fields contain an abundance of information, which harbor great clinical potential. Clinical research therefore explores these data, aiming for indicators that relate the hemodynamics to pathogenesis.
The complex data can, however, not be inspected using traditional slice-by-slice inspection. Comprehensive flow visualization techniques are required to effectively convey the relevant information, and hence to gain understanding of the hemodynamics. This presentation will provide an overview of the visualization techniques we have investigated for exploration of 4D blood-flow data, ranging from global clustering techniques to local blood-flow probing. We will furthermore set out future challenges for blood-flow visualization research.
Roy van Pelt studied Computer Science and Engineering at Eindhoven University of Technology. His graduation project was carried out at the faculty of Biomedical Engineering in 2007, in the Biomedical Image Analysis group, led by professor Bart ter Haar Romeny. His final project, supervised by Anna Vilanova, focused on 3D illustrative visualization using modern consumer graphics hardware. After his graduation, he started his PhD project at the Biomedical Image Analysis group, in collaboration with Philips Healthcare.
Research Seminar Announcement
In the course of the Visual Computing research seminar Dr. Evgeny Gladilin from the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK) Gatersleben will give a talk with subsequent discussion about the topic Aufgaben der Bildanalyse in quantitativer Pflanzenforschung.
We would like to invite everyone interested to join us. The research seminar will take place in on Friday 21.04.2017, 13:00 c.t. in G29-R335.