Book chapter
Automated Segmentation of X-ray Left Ventricular Angiograms Using Multi-View Active Appearance Models and Dynamic Programming
Functional Imaging and Modeling of the Heart, pp.23-32
Lecture Notes in Computer Science, Springer Berlin Heidelberg
2005
DOI: 10.1007/11494621_3
Abstract
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.
Details
- Title: Subtitle
- Automated Segmentation of X-ray Left Ventricular Angiograms Using Multi-View Active Appearance Models and Dynamic Programming
- Creators
- Elco Oost - Division of Image Processing, Department of Radiology, 1-C2S, Leiden University, Medical Center, Leiden, The NetherlandsGerhard Koning - Division of Image Processing, Department of Radiology, 1-C2S, Leiden University, Medical Center, Leiden, The NetherlandsMilan Sonka - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, USAJohan H. C Reiber - Division of Image Processing, Department of Radiology, 1-C2S, Leiden University, Medical Center, Leiden, The NetherlandsBoudewijn P. F Lelieveldt - Division of Image Processing, Department of Radiology, 1-C2S, Leiden University, Medical Center, Leiden, The Netherlands
- Resource Type
- Book chapter
- Publication Details
- Functional Imaging and Modeling of the Heart, pp.23-32
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/11494621_3
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Language
- English
- Date published
- 2005
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984047606302771
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