Name
Title | ||
|---|---|---|
Subject-specific finite-element modeling of normal aortic valve biomechanics from 3D+t TEE images. |
Abstract | ||
|---|---|---|
•We propose an integrated framework to process subject-specific 3D+t TEE aortic valve (AV) data.•We acquired the 3-D coordinates of 21 anatomical landmarks of the AV apparatus in 10 datasets.•We evaluated the measurement accuracy of the proposed methodology.•We determined age-matched material properties for the aortic and leaflet tissues.•We automatically built 10 finite element models and simulated the AV function. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.media.2014.11.003 | Medical Image Analysis |
Keywords | Field | DocType |
3D+t ultrasound imaging,Normal aortic valve,Subject-specific anatomy,Finite element biomechanical models | Biomedical engineering,Diastole,Aortic valve,Software,Artificial intelligence,Biomechanics,Surgery,Computer vision,Finite element method,Tearing,Cardiac cycle,Observational error,Mathematics | Journal |
Volume | Issue | ISSN |
20 | 1 | 1361-8415 |
Citations | PageRank | References |
2 | 0.51 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michel R. Labrosse | 1 | 2 | 0.51 |
| Carsten J. Beller | 2 | 2 | 0.51 |
| Munir Boodhwani | 3 | 2 | 0.51 |
| Christopher Hudson | 4 | 2 | 0.51 |
| Benjamin Sohmer | 5 | 17 | 2.07 |