A 3D Hermite-based multiscale local active contour method with elliptical shape constraints for segmentation of cardiac MR and CT volumes
| Autor: | Boris Escalante-Ramírez, Leiner Barba-J, Enrique Vallejo Venegas, Fernando Arámbula Cosío |
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| Rok vydání: | 2017 |
| Předmět: |
Systole
Biomedical Engineering Initialization Computed tomography 02 engineering and technology Mathematical morphology 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Imaging Three-Dimensional Diastole 0202 electrical engineering electronic engineering information engineering medicine Humans Computer vision Segmentation Mathematics Active contour model Hermite polynomials medicine.diagnostic_test business.industry Models Theoretical Magnetic Resonance Imaging Computer Science Applications Linear Models 020201 artificial intelligence & image processing Artificial intelligence Hermite transform Cardiac magnetic resonance business Tomography X-Ray Computed Algorithms |
| Zdroj: | Medicalbiological engineeringcomputing. 56(5) |
| ISSN: | 1741-0444 |
| Popis: | Analysis of cardiac images is a fundamental task to diagnose heart problems. Left ventricle (LV) is one of the most important heart structures used for cardiac evaluation. In this work, we propose a novel 3D hierarchical multiscale segmentation method based on a local active contour (AC) model and the Hermite transform (HT) for LV analysis in cardiac magnetic resonance (MR) and computed tomography (CT) volumes in short axis view. Features such as directional edges, texture, and intensities are analyzed using the multiscale HT space. A local AC model is configured using the HT coefficients and geometrical constraints. The endocardial and epicardial boundaries are used for evaluation. Segmentation of the endocardium is controlled using elliptical shape constraints. The final endocardial shape is used to define the geometrical constraints for segmentation of the epicardium. We follow the assumption that epicardial and endocardial shapes are similar in volumes with short axis view. An initialization scheme based on a fuzzy C-means algorithm and mathematical morphology was designed. The algorithm performance was evaluated using cardiac MR and CT volumes in short axis view demonstrating the feasibility of the proposed method. |
| Databáze: | OpenAIRE |
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