Automated Heart Localization in Cardiac Cine MR Data
Cardiac MRI is the modality of choice in cardiology for the assessment of the ventricular function, since the heart’s anatomy is visualized with high resolution. This functional assessment is a timeconsuming task for the cardiac radiologist when performed manually. Therefore, computer-driven diagnostic solutions are of particular importance for clinical applications. In order to ensure the success of such computer aided diagnosis algorithms however, a correct, initial localization of the heart region in the raw data is crucial. For this purpose, we present a novel, simple and fully automated approach for localizing the heart region in cardiac cine MR data. Without the need for prior knowledge or training datasets, this method enables a ready to use application for a robust localization. This processing step is a fundamental component for the development of integrated automated applications.
KeywordsHeart Region Temporal Frame Laplacian Pyramid Robust Localization Cardiac Radiologist
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- 5.Hadhoud MMA, Eladawy MI, Farag A., Region of interest localization of cardiac structure from cine MRI images. Proc Int Conf Inf Technol New Gener. 2012; p. 14–7.Google Scholar
- 3.Constantinides C, Chenoune Y, Mousseaux E, et al. Automated heart localization for the segmentation of the ventricular cavities on cine magnetic resonance images. Comput Cardiol. 2010; p. 911–4.Google Scholar
- 8.Zambal S, Schöllhuber A, Bühler K, et al. Fast and robust localization of the heart in cardiac MRI series. Proc Int Conf Comput Vis Theory Appl. 2008;1:341–6.Google Scholar
- 1.Adelson EH, Anderson CH, Bergen JR, et al. Pyramid methods in image processing. RCA Eng. 1984;29(6):33–41.Google Scholar