Name
Abstract | ||
|---|---|---|
The coaptation zone is the part of the two mitral valve leaflets that collide during the cardiac cycle. It is an important parameter for the valve's function and closing capability, but difficult to assess. In this work, we present an automatic approach for leaflet segmentation from 4D ultrasound images, which incorporates steps for coaptation zone modelling and allows determining the coaptation zone from the resulting leaflet surface. The method segments the leaflets over the whole cardiac cycle given a previously segmented annulus model. To provide a meaningful analysis of the coaptation line assessment, the mean error between ground truth model and segmented model has been computed for each leaflet separately. For the anterior leaflet, we achieved a mean error of 1.16 +/- 0.38mm and 1.24 +/- 0.37mm for the posterior leaflet, respectively. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-20309-6_16 | Lecture Notes in Computer Science |
Field | DocType | Volume |
Mitral valve leaflet,Segmentation,Internal medicine,Cardiology,Annulus (oil well),Maximum intensity projection,Cardiac cycle,Mitral valve,Mathematics,Ultrasound | Conference | 9126 |
ISSN | Citations | PageRank |
0302-9743 | 2 | 0.39 |
References | Authors | |
8 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sandy Engelhardt | 1 | 29 | 13.14 |
| Nils Lichtenberg | 2 | 2 | 2.08 |
| Sameer Al-Maisary | 3 | 16 | 4.12 |
| Raffaele De Simone | 4 | 41 | 17.95 |
| Helmut Rauch | 5 | 2 | 0.39 |
| Jens Roggenbach | 6 | 2 | 0.39 |
| Stefan Müller | 7 | 134 | 16.33 |
| Matthias Karck | 8 | 14 | 6.97 |
| Hans-Peter Meinzer | 9 | 8 | 2.98 |
| Ivo Wolf | 10 | 739 | 85.17 |