Abstract | ||
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The inclusion of a priori information about organs can and should be used for helping the task of automatically recognizing and segmenting structures in medical images. The aim of the present work is the extraction of cardiac structures from thoracic MR images. To achieve this goal we propose the incorporation of a priori information about shape and relative position of the cardiac chambers using a multiscale approach. |
Year | DOI | Venue |
---|---|---|
2001 | 10.1109/SIBGRAPI.2001.963095 | SIBGRAPI |
Keywords | Field | DocType |
NMR imaging,cardiology,feature extraction,image recognition,image segmentation,medical image processing,3D visualization,MRI,a priori information,automatically recognizing structures,automatically segmenting structures,cardiac chambers,cardiac structures,congenital cardiac diseases,geometrical information,magnetic resonance images,medical images,multiscale approach,organs,pre-surgical procedures,relative position,shape,thoracic MR images | Computer vision,Visualization,Medical imaging,Computer science,A priori and a posteriori,Feature extraction,Cardiac chamber,Image segmentation,Solid modeling,Artificial intelligence,Magnetic resonance imaging | Conference |
ISBN | Citations | PageRank |
0-7695-1330-1 | 0 | 0.34 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marina de Sá Rebelo | 1 | 37 | 5.27 |
Marco Antonio Gutierrez | 2 | 18 | 10.79 |
Sérgio Shiguemi Furuie | 3 | 18 | 3.29 |
Lincoln Moura | 4 | 0 | 0.34 |