Multi-View Active Appearance Models: application to X-ray LV angiography and cardiac MRI.
This paper describes a Multi-View Active Appearance Model (AAM) for coherent segmentation of multiple cardiac views. Cootes' AAM framework was adapted by considering shapes and intensities from multiple views, while eliminating trivial difference in object pose in different views. This way, the coherence in organ shape and intensities between different views is modeled, and utilized during image search. The method is validated in two substantially different and novel applications: segmentation of combined end-diastolic and end-systolic left ventricular X-ray angiograms, and simultaneous segmentation of a combination of four chamber, two chamber and short-axis cardiac MR views.
Oost
C R
CR
Division of Image Processing, the University of Iowa, USA. C.R.Oost@lumc.nl
Lelieveldt
B P F
BP
Uzümcü
M
M
Lamb
H
H
Reiber
J H C
JH
Sonka
M
M
D000465:Algorithms; D003198:Computer Simulation; D017023:Coronary Angiography / Q000379:methods; D006331:Heart Diseases / Q000175:diagnosis*; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008954:Models, Biological; D015233:Models, Statistical; D009203:Myocardial Infarction / Q000000981:diagnostic imaging; D009206:Myocardium / Q000473:pathology; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique