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Estimation of the Current Density in a Dynamic Heart Model and Visualization of Its Propagation

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Book cover Medical Imaging and Augmented Reality (MIAR 2008)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5128))

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Abstract

The inverse approach from MR images to electrical propagation is very novel, but difficult due to complicated processes from electrical excitation to heart contraction. A novel strategy is presented to recover cardiac electrical excitation pattern from medical image sequences and ECG data. We used MRI images to estimate the current density and visualize it on the surface of the heart model. The ECG data also be used to achieve the time synchronization when the propagation of the current density. Experiments are conducted on a set of real time MRI images, also with the real ECG data, and we get favorable results.

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Takeyoshi Dohi Ichiro Sakuma Hongen Liao

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Wang, L., Heng, P.A., Tsin, W.T. (2008). Estimation of the Current Density in a Dynamic Heart Model and Visualization of Its Propagation. In: Dohi, T., Sakuma, I., Liao, H. (eds) Medical Imaging and Augmented Reality. MIAR 2008. Lecture Notes in Computer Science, vol 5128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79982-5_13

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  • DOI: https://doi.org/10.1007/978-3-540-79982-5_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79981-8

  • Online ISBN: 978-3-540-79982-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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