A 3D Hermite-based multiscale local active contour method with elliptical shape constraints for segmentation of cardiac MR and CT volumes.

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 t...

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Published in:Medical & Biological Engineering & Computing Vol. 56; no. 5; pp. 833 - 852
Main Authors: Barba-J, Leiner, Escalante-Ramírez, Boris, Vallejo Venegas, Enrique, Arámbula Cosío, Fernando
Format: Journal Article
Published: Springer Nature May2018
Online Access:View this record in EBSCOhost
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      dt: May2018
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      pub: Springer Nature
      place: New York, New York
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        atl: A 3D Hermite-based multiscale local active contour method with elliptical shape constraints for segmentation of cardiac MR and CT volumes.
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          Barba-J, Leiner
          Escalante-Ramírez, Boris
          Vallejo Venegas, Enrique
          Arámbula Cosío, Fernando
        affil: Facultad de Ingeniería, Universidad Nacional Autónoma de México, C.U., México, D.F., Mexico
      sug:
        subj:
          Magnetic Resonance Imaging
          Algorithms
          Imaging, Three-Dimensional
          Tomography, X-Ray Computed
          Systole Physiology
          Diastole Physiology
          Models, Theoretical
          Linear Regression
          Scales
          Short Portable Mental Status Questionnaire
      ab: 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.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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