Document Detail


Exploration of 4D MRI blood flow using stylistic visualization.
MedLine Citation:
PMID:  20975174     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Roy van Pelt; Javier Oliván Bescós; Marcel Breeuwer; Rachel E Clough; M Eduard Gröller; Bart ter Haar Romenij; Anna Vilanova
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on visualization and computer graphics     Volume:  16     ISSN:  1077-2626     ISO Abbreviation:  IEEE Trans Vis Comput Graph     Publication Date:    2010 Nov-Dec
Date Detail:
Created Date:  2010-10-26     Completed Date:  2010-12-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9891704     Medline TA:  IEEE Trans Vis Comput Graph     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1339-47     Citation Subset:  IM    
Affiliation:
Eindhoven University of Technology. r.f.p.v.pelt@tue.nl
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MeSH Terms
Descriptor/Qualifier:
Blood Flow Velocity*
Cardiovascular Diseases / diagnosis,  physiopathology
Computer Graphics*
Computer Simulation
Humans
Imaging, Three-Dimensional
Magnetic Resonance Angiography / statistics & numerical data*
Models, Cardiovascular

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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