Title | ||
---|---|---|
Optimal B-spline Mapping of Flow Imaging Data for Imposing Patient-specific Velocity Profiles in Computational Hemodynamics. |
Abstract | ||
---|---|---|
The proposed method and its integration into the CRIMSON software enable a streamlined approach towards incorporating more patient-specific data in blood flow simulations. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TBME.2018.2880606 | IEEE transactions on bio-medical engineering |
Keywords | Field | DocType |
Data models,Magnetic resonance imaging,Blood,Doppler effect,Computational modeling,Valves,Three-dimensional displays | B-spline,Data modeling,Computer vision,Simulation software,Computer science,Geometric modeling,Synthetic data,Software,Artificial intelligence,Computational fluid dynamics,Pointwise | Journal |
Volume | Issue | ISSN |
66 | 7 | 1558-2531 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alberto Gomez | 1 | 50 | 12.62 |
Marija Marcan | 2 | 1 | 0.37 |
Christopher J. Arthurs | 3 | 34 | 4.09 |
R Wright | 4 | 118 | 7.56 |
Pouya Youssefi | 5 | 1 | 0.37 |
Marjan Jahangiri | 6 | 2 | 0.78 |
C Alberto Figueroa | 7 | 12 | 1.67 |