Structure-adaptive sparse denoising for diffusion-tensor MRI

@article{Bao2013StructureadaptiveSD,
  title={Structure-adaptive sparse denoising for diffusion-tensor MRI},
  author={Lijun Bao and Marc C. Robini and Wanyu Liu and Yue Min Zhu},
  journal={Medical image analysis},
  year={2013},
  volume={17 4},
  pages={442-57}
}
Diffusion tensor magnetic resonance imaging (DT-MRI) is becoming a prospective imaging technique in clinical applications because of its potential for in vivo and non-invasive characterization of tissue organization. However, the acquisition of diffusion-weighted images (DWIs) is often corrupted by noise and artifacts, and the intensity of diffusion-weighted signals is weaker than that of classical magnetic resonance signals. In this paper, we propose a new denoising method for DT-MRI, called… CONTINUE READING
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