Name
Title | ||
|---|---|---|
Segmentation of the heart and great vessels in CT images using a model-based adaptation framework. |
Abstract | ||
|---|---|---|
Recently, model-based methods for the automatic segmentation of the heart chambers have been proposed. An important application of these methods is the characterization of the heart function. Heart models are, however, increasingly used for interventional guidance making it necessary to also extract the attached great vessels. It is, for instance, important to extract the left atrium and the proximal part of the pulmonary veins to support guidance of ablation procedures for atrial fibrillation treatment. For cardiac resynchronization therapy, a heart model including the coronary sinus is needed. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.media.2011.06.004 | Medical Image Analysis |
Keywords | Field | DocType |
Heart segmentation,Model-based segmentation,Shape variability,Computed tomography | Atrial fibrillation,Computer vision,Data set,Pattern recognition,Segmentation,Great vessels,Hough transform,Artificial intelligence,Coronary sinus,Cardiac resynchronization therapy,Mathematics,Angiography | Journal |
Volume | Issue | ISSN |
15 | 6 | 1361-8415 |
Citations | PageRank | References |
32 | 1.48 | 30 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olivier Ecabert | 1 | 346 | 26.28 |
| Jochen Peters | 2 | 284 | 25.51 |
| Matthew J. Walker | 3 | 65 | 5.52 |
| Thomas Ivanc | 4 | 43 | 2.57 |
| Lorenz Cristian | 5 | 893 | 100.01 |
| Jens Von Berg | 6 | 247 | 27.11 |
| Jonathan Lessick | 7 | 39 | 5.19 |
| M Vembar | 8 | 51 | 7.27 |
| Jürgen Weese | 9 | 774 | 92.69 |