Literature DB >> 20975174

Exploration of 4D MRI blood flow using stylistic visualization.

Roy van Pelt1, Javier Oliván Bescós, Marcel Breeuwer, Rachel E Clough, M Eduard Gröller, Bart ter Haar Romenij, Anna Vilanova.   

Abstract

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.

Mesh:

Year:  2010        PMID: 20975174     DOI: 10.1109/TVCG.2010.153

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  4 in total

1.  Automated segmentation of blood-flow regions in large thoracic arteries using 3D-cine PC-MRI measurements.

Authors:  Roy van Pelt; Huy Nguyen; Bart ter Haar Romeny; Anna Vilanova
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-07-21       Impact factor: 2.924

2.  Motion-aware stroke volume quantification in 4D PC-MRI data of the human aorta.

Authors:  Benjamin Köhler; Uta Preim; Matthias Grothoff; Matthias Gutberlet; Katharina Fischbach; Bernhard Preim
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-07-17       Impact factor: 2.924

3.  Uncertainty Footprint: Visualization of Nonuniform Behavior of Iterative Algorithms Applied to 4D Cell Tracking.

Authors:  Y Wan; C Hansen
Journal:  Comput Graph Forum       Date:  2017-07-04       Impact factor: 2.078

Review 4.  Hemodynamic Measurement Using Four-Dimensional Phase-Contrast MRI: Quantification of Hemodynamic Parameters and Clinical Applications.

Authors:  Hojin Ha; Guk Bae Kim; Jihoon Kweon; Sang Joon Lee; Young-Hak Kim; Deok Hee Lee; Dong Hyun Yang; Namkug Kim
Journal:  Korean J Radiol       Date:  2016-06-27       Impact factor: 3.500

  4 in total

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