Wavelet-based multiscale anisotropic diffusion for MR imaging

Junmei Zhong; Bernard Dardzinski; Scott Holland; Janaka Wansapura; Vincent Schmithorst

doi:10.1117/12.594829

29 April 2005 Wavelet-based multiscale anisotropic diffusion for MR imaging

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

Proceedings Volume 5747, Medical Imaging 2005: Image Processing; (2005) https://doi.org/10.1117/12.594829
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

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.

Citation Download Citation

Junmei Zhong, Bernard Dardzinski, Scott Holland, Janaka Wansapura, and Vincent Schmithorst "Wavelet-based multiscale anisotropic diffusion for MR imaging", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); https://doi.org/10.1117/12.594829

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