Abstract | ||
---|---|---|
A computational method is reported which allows the fully automated recovery of the three-dimensional shape of the cardiac left ventricle from a reduced set of apical echo views. Two typically ill-posed problems have been faced: 1) the detection of the left ventricle contours in each view, and 2) the integration of the detected contour points (which form a sparse and partially inconsistent data se... |
Year | DOI | Venue |
---|---|---|
1995 | 10.1109/42.387712 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Shape,Face detection,Computer vision,Neural networks,Image edge detection,Feedforward neural networks,Springs,Potential energy,Finite element methods,Lead | Computer vision,Discretization,Feedforward neural network,Heartbeat,Silhouette,Edge detection,Image processing,Finite element method,Artificial intelligence,Artificial neural network,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 2 | 0278-0062 |
Citations | PageRank | References |
33 | 3.33 | 13 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Giuseppe Coppini | 1 | 96 | 13.93 |
R. Poli | 2 | 101 | 9.67 |
G Valli | 3 | 33 | 3.33 |