@inproceedings{SisLab1563,
       booktitle = {SW4PHD: the 2016 Scientific Workshop for PhD Students},
           month = {March},
           title = {The Efficiency of Applying Compressed Sampling and Multi-Resolution into Ultrasound Tomography},
          author = {Quang Huy Tran and Duc Tan Tran},
            year = {2016},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1563/},
        abstract = {Ultrasound  tomography would  allow  ultrasound  imaging  to  reach  its  full  potential, compared  to  X-ray, MRI, etc. It  is  based  on  inverse  scattering and  has  the  capability  to detect structures  whose sizes  are  smaller than  the  wavelength  of  the  incident  wave, as opposed  to conventional  one  using pulse-echo technique. Some material properties such as sound contrast and attenuation are very useful to detect small objects. The Distorted Born Iterative Method (DBIM) based on first-order Born approximation is an efficient diffraction tomography approach. The compressed sensing technique is utilized for the DBIM to obtain the high-quality ultrasound image. However, the image reconstruction process is quite long. In this paper, we proposed an approach to enhance the imaging quality and to reduce the imaging time by applying the compressed sensing technique along with the multi-resolution technique for the DBIM. The simulation results indicate that the imaging time is 33\% reduced, the imaging quality is 83\% improved.}
}