LV surface reconstruction from sparse tMRI using Laplacian Surface Deformation and Optimization

@article{Zhang2009LVSR,
  title={LV surface reconstruction from sparse tMRI using Laplacian Surface Deformation and Optimization},
  author={Shaoting Zhang and Xiaoxu Wang and Dimitris N. Metaxas and Ting Chen and Leon Axel},
  journal={2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro},
  year={2009},
  pages={698-701}
}
We propose a novel framework to reconstruct the left ventricle (LV)'s 3D surface from sparse tagged-MRI (tMRI). First we acquire an initial surface mesh from a dense tMRI. Then landmarks are calculated both on contours of a specific new tMRI data and on corresponding slices of the initial mesh. Next, we employ several filters including global deformation, local deformation and remeshing to deform the initial surface mesh to the image data. This step integrates Polar Decomposition, Laplacian… CONTINUE READING

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