Abstract
This paper describes new software programs for analysis and visualization of blood flow patterns derived from time-resolved 3D velocity data sets. Using the programs, data can be displayed in cross-sectional or 3D perspective view. Particle paths revealing the flow patterns are computed by forward and backward time integration of the velocity field. Vector arrowmaps are computed as short-duration paths starting from uniformly spaced points over the lumen volume. Background, divergence, and local boundary correction is done to improve the realism of the paths. The programs have been used to visualize flow patterns from nongated and cardiac-gated 3D velocity enclosed data in over 35 subjects: Arrowmaps are preferred for revealing local regions of different blood flow characteristics within the vessel, while particle paths are preferred for revealing global organization of the flow. They are complementary display strategies. Advanced data handling and display features are essential for analyzing and visualizing large velocity encoded data sets.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 99-103 |
| Number of pages | 5 |
| Journal | International Journal of Cardiac Imaging |
| Volume | 15 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1999 |
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ASJC Scopus subject areas
- Radiology Nuclear Medicine and imaging
- Cardiology and Cardiovascular Medicine
- Radiological and Ultrasound Technology
Cite this
Analysis of flow patterns using MRI. / Buonocore, Michael H.; Bogren, Hugo G.
In: International Journal of Cardiac Imaging, Vol. 15, No. 2, 1999, p. 99-103.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Analysis of flow patterns using MRI
AU - Buonocore, Michael H.
AU - Bogren, Hugo G.
PY - 1999
Y1 - 1999
N2 - This paper describes new software programs for analysis and visualization of blood flow patterns derived from time-resolved 3D velocity data sets. Using the programs, data can be displayed in cross-sectional or 3D perspective view. Particle paths revealing the flow patterns are computed by forward and backward time integration of the velocity field. Vector arrowmaps are computed as short-duration paths starting from uniformly spaced points over the lumen volume. Background, divergence, and local boundary correction is done to improve the realism of the paths. The programs have been used to visualize flow patterns from nongated and cardiac-gated 3D velocity enclosed data in over 35 subjects: Arrowmaps are preferred for revealing local regions of different blood flow characteristics within the vessel, while particle paths are preferred for revealing global organization of the flow. They are complementary display strategies. Advanced data handling and display features are essential for analyzing and visualizing large velocity encoded data sets.
AB - This paper describes new software programs for analysis and visualization of blood flow patterns derived from time-resolved 3D velocity data sets. Using the programs, data can be displayed in cross-sectional or 3D perspective view. Particle paths revealing the flow patterns are computed by forward and backward time integration of the velocity field. Vector arrowmaps are computed as short-duration paths starting from uniformly spaced points over the lumen volume. Background, divergence, and local boundary correction is done to improve the realism of the paths. The programs have been used to visualize flow patterns from nongated and cardiac-gated 3D velocity enclosed data in over 35 subjects: Arrowmaps are preferred for revealing local regions of different blood flow characteristics within the vessel, while particle paths are preferred for revealing global organization of the flow. They are complementary display strategies. Advanced data handling and display features are essential for analyzing and visualizing large velocity encoded data sets.
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U2 - 10.1023/A:1006205206534
DO - 10.1023/A:1006205206534
M3 - Article
VL - 15
SP - 99
EP - 103
JO - International Journal of Cardiovascular Imaging
JF - International Journal of Cardiovascular Imaging
SN - 1569-5794
IS - 2
ER -