Details

Autor(en) / Beteiligte

• Oost, Elco
• Koning, Gerhard
• Sonka, Milan
• Reiber, Johan H. C.
• Lelieveldt, Boudewijn P. F.
• Radeva, Petia I.
• Hernandez, Monica
• Frangi, Alejandro F.
• Santos, Andres

Titel

Automated Segmentation of X-ray Left Ventricular Angiograms Using Multi-View Active Appearance Models and Dynamic Programming

Ist Teil von

• Functional Imaging and Modeling of the Heart, p.23-32

Ort / Verlag

Berlin, Heidelberg: Springer Berlin Heidelberg

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• A novel approach to automated segmentation of X-ray Left Ventricu-lar (LV) angiograms is proposed, based on Active Appearance Models (AAMs) and dynamic programming (DP). Due to combined modeling of the end-diastolic (ED) and end-systolic (ES) phase, existing correlations in shape and texture representation are exploited, resulting in a better segmentation in the ES phase. The intrinsic over-constraining by the model is compensated by a DP algorithm, in which also cardiac contraction motion features are incorporated. An elaborate evaluation of the algorithm, based on 70 paired ED-ES images, shows success rates of 100% for ED and 99% for ES, with average border positioning errors of 0.68 mm and 1.45 mm respectively. Calculated volumes were accurate and unbiased, proving the high clinical potential of our method.