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GPU-based reconstruction and display for 4D ultrasound data

Ahmed F. Elnokrashy, Ahmed A. Elmalky, Tamer M. Hosny, Marwan Abd Ellah, Alaa Megawer, Abobakr Elsebai, Abou-Bakr M. Youssef, Yasser M. Kadah
Biomedical Engineering Department, Cairo University and IBE Tech, Giza, Egypt
IEEE International Ultrasonics Symposium (IUS), 2009

@inproceedings{elnokrashy2009gpu,

   title={GPU-based reconstruction and display for 4D ultrasound data},

   author={Elnokrashy, A.F. and Elmalky, A.A. and Hosny, T.M. and Ellah, M.A. and Megawer, A. and Elsebai, A. and Youssef, A. and Kadah, Y.M.},

   booktitle={Ultrasonics Symposium (IUS), 2009 IEEE International},

   pages={189–192},

   year={2009},

   organization={IEEE}

}

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Due to the required computational effort of 4D ultrasound imaging, such systems depend on low complexity techniques like nearest neighbor interpolation, which affects volume quality. Moreover, more accurate techniques like normalized convolution, backward trilinear interpolation, and forward spherical and ellipsoidal Gaussian kernel, are avoided in real-time imaging because of the tight reconstruction time. The goal of this work is to utilize recent commercial graphics hardware technology of graphics processing unit (GPU) to speed up the reconstruction time while increasing the quality of displayed volume.
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