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  Context-based segmentation and analysis of multi-cycle real-time cardiac MRI.

Chitiboi, T., Hennemuth, A., Tautz, L., Huellebrand, M., Frahm, J., Linsen, L., et al. (2014). Context-based segmentation and analysis of multi-cycle real-time cardiac MRI. IEEE International Symposium on Biomedical Imaging, 11, 943-946. doi:10.1109/ISBI.2014.6868027.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0026-CCD2-5 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-2B4A-3
Genre: Journal Article

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2154430.pdf (Publisher version), 970KB
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 Creators:
Chitiboi, T., Author
Hennemuth, A., Author
Tautz, L., Author
Huellebrand, M., Author
Frahm, J.1, Author              
Linsen, L., Author
Hahn, H., Author
Affiliations:
1Biomedical NMR Research GmbH, MPI for biophysical chemistry, Max Planck Society, ou_578634              

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Free keywords: myocardium, segmentation, cardiac function, real-time cardiac MRI
 Abstract: The recent development of a real-time magnetic resonance imaging (MRI) technique with 20 to 30 ms temporal resolution allows for imaging multiple consecutive heart cycles, without the need for breath holding or ECG synchronization. Manual analysis of the resulting image series is no longer feasible because of their length.We propose a region-based algorithm for automatically segmenting the myocardium in consecutive heart cycles based on local context and prior knowledge. The method was evaluated on ten real-time MRI series and compared to segmentations by two observers, with promising results.We show that our approach enables a multicycle analysis of the heart function robust to breathing and arrhythmia.

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Language(s): eng - English
 Dates: 20142014
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1109/ISBI.2014.6868027
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Title: IEEE International Symposium on Biomedical Imaging
Source Genre: Journal
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Publ. Info: New York, N.Y. : IEEE
Pages: - Volume / Issue: 11 Sequence Number: - Start / End Page: 943 - 946 Identifier: -