Wavelet-based multiscale anisotropic diffusion for MR imaging

Junrhei Zhong, Bernard Dardzinski, Scott Holland, Janaka Wansapura, Vincent Schmithorst

Research output: Contribution to journalConference articlepeer-review


Magnetic resonance (MR) images acquired with a high temporal resolution or high spatial resolution are usually with a penalty of low signal to noise ratio (SNR). It is necessary to remove the noise artifacts with important image features such as edges preserved. In this paper, we propose to use the improved wavelet-based multiscale anisotropic diffusion algorithm for MR imaging. Experimental results demonstrate that this denoising algorithm can significantly improve the SNR for MR images while preserving edges with good visual quality. The denoising results indicate that in MR imaging applications, we can almost doubly improve the temporal resolution or improve the spatial resolution while achieving high SNR and acceptable image quality.

Original languageEnglish (US)
Article number114
Pages (from-to)1046-1053
Number of pages8
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Issue numberII
StatePublished - 2005
Externally publishedYes
EventMedical Imaging 2005 - Image Processing - San Diego, CA, United States
Duration: Feb 13 2005Feb 17 2005

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


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