Share Email Print
cover

Proceedings Paper

Wavelet-based multiscale anisotropic diffusion for MR imaging
Author(s): Junmei Zhong; Bernard Dardzinski; Scott Holland; Janaka Wansapura; Vincent Schmithorst
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 29 April 2005
PDF: 8 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.594829
Show Author Affiliations
Junmei Zhong, Cincinnati Children's Hospital Medical Ctr. (United States)
Bernard Dardzinski, Cincinnati Children's Hospital Medical Ctr. (United States)
Scott Holland, Cincinnati Children's Hospital Medical Ctr. (United States)
Janaka Wansapura, Cincinnati Children's Hospital Medical Ctr. (United States)
Vincent Schmithorst, Cincinnati Children's Hospital Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

© SPIE. Terms of Use
Back to Top