The Community for Technology Leaders
Green Image
Issue No. 06 - November/December (2010 vol. 16)
ISSN: 1077-2626
pp: 1339-1347
Roy van Pelt , Eindhoven University of Technology
Javier Oliván Bescós , Philips Healthcare
Marcel Breeuwer , Philips Healthcare
Rachel E. Clough , King's College London; Guy's and St Thomas' NHS foundation
M. Eduard Gröller , Vienna University of Technology
Bart ter Haar Romenij , Eindhoven University of Technology
Anna Vilanova , Eindhoven University of Technology
Insight into the dynamics of blood-flow considerably improves the understanding of the complex cardiovascular system and its pathologies. Advances in MRI technology enable acquisition of 4D blood-flow data, providing quantitative blood-flow velocities over time. The currently typical slice-by-slice analysis requires a full mental reconstruction of the unsteady blood-flow field, which is a tedious and highly challenging task, even for skilled physicians. We endeavor to alleviate this task by means of comprehensive visualization and interaction techniques. In this paper we present a framework for pre-clinical cardiovascular research, providing tools to both interactively explore the 4D blood-flow data and depict the essential blood-flow characteristics. The framework encompasses a variety of visualization styles, comprising illustrative techniques as well as improved methods from the established field of flow visualization. Each of the incorporated styles, including exploded planar reformats, flow-direction highlights, and arrow-trails, locally captures the blood-flow dynamics and may be initiated by an interactively probed vessel cross-section. Additionally, we present the results of an evaluation with domain experts, measuring the value of each of the visualization styles and related rendering parameters.
4D MRI blood-flow, Probing, Flow visualization, Illustrative visualization, Phase-contrast cine MRI
Roy van Pelt, Javier Oliván Bescós, Marcel Breeuwer, Rachel E. Clough, M. Eduard Gröller, Bart ter Haar Romenij, Anna Vilanova, "Exploration of 4D MRI Blood Flow using Stylistic Visualization", IEEE Transactions on Visualization & Computer Graphics, vol. 16, no. , pp. 1339-1347, November/December 2010, doi:10.1109/TVCG.2010.153
94 ms
(Ver 3.3 (11022016))