Automatic Detection of Myocardial Boundaries in MR Cardio Perfusion Images (original) (raw)

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Abstract

Cardiovascular diseases often result in reduced blood perfusion of the myocardium (MC). Recent advances in MR allow fast recordingof contrast enhanced myocardial perfusion scans. For perfusion analysis the myocardial boundaries must be traced. Currently this is done manually. In this paper a method for automatic detection of the myocardial boundaries is proposed.

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References

1. N. Al-Saadi, E. Nagel, M. Gross, A. Bornstedt, B. Schnackenburg, C. Klein, H. Oswald, and E. Fleck, “Non-invasive detection of myocardial ischemia from perfusion reserve based on cardiovascular magnetic resonance,” in Circulation, No. 101, 2000. 1st Virtual Congress of Cardiology, http://pcvc.sminter.com.ar/cvirtual.
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Authors and Affiliations

1. Image Sciences Institute, University Medical Centre Utrecht, Netherlands
   Luuk Spreeuwers
2. Philips Medical Systems, Medical Imaging Information Technology - Advanced Development, Netherlands
   Marcel Breeuwer

Authors

1. Luuk Spreeuwers
2. Marcel Breeuwer

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Editors and Affiliations

1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
   Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Spreeuwers, L., Breeuwer, M. (2001). Automatic Detection of Myocardial Boundaries in MR Cardio Perfusion Images. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_174

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• DOI: https://doi.org/10.1007/3-540-45468-3\_174
• Published: 05 October 2001
• Publisher Name: Springer, Berlin, Heidelberg
• Print ISBN: 978-3-540-42697-4
• Online ISBN: 978-3-540-45468-7
• eBook Packages: Springer Book Archive

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