Wavelet-based multiscale anisotropic diffusion for MR imaging

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

doi:10.1117/12.594829

Wavelet-based multiscale anisotropic diffusion for MR imaging

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

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

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.

Original language	English (US)
Article number	114
Pages (from-to)	1046-1053
Number of pages	8
Journal	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	5747
Issue number	II
DOIs	https://doi.org/10.1117/12.594829
State	Published - 2005
Externally published	Yes
Event	Medical Imaging 2005 - Image Processing - San Diego, CA, United States Duration: Feb 13 2005 → Feb 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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title = "Wavelet-based multiscale anisotropic diffusion for MR imaging",

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.",

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T1 - Wavelet-based multiscale anisotropic diffusion for MR imaging

AU - Zhong, Junrhei

AU - Dardzinski, Bernard

AU - Holland, Scott

AU - Wansapura, Janaka

AU - Schmithorst, Vincent

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

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JO - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

JF - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

IS - II

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T2 - Medical Imaging 2005 - Image Processing

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ER -

Wavelet-based multiscale anisotropic diffusion for MR imaging

Abstract

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