Accession Number:

ADA411041

Title:

Confidence Based Anisotropic Filtering of Magnetic Resonance Images

Descriptive Note:

Conference paper

Corporate Author:

WAKE FOREST UNIV WINSTON-SALEM NC SCHOOL OF MEDICINE

Personal Author(s):

• Bayram, Ersin
• Ge, Yaorong
• Wyatt, Christopher L.

Report Date:

2001-10-25

Pagination or Media Count:

5.0

Abstract:

Image filtering is an important off-line image processing technique to improve the signal-to-noise ratio SNR andor contrast-to-noise ratio CNR of acquired images. The major drawback of filtering is that it often blurs the fine structures and object boundaries in the image along with noise. Anisotropic diffusive filtering techniques incorporate gradient information to blur homogeneous regions while preserving the boundaries and interesting structures. Unfortunately, their performance is limited in low contrast regions and around fuzzy boundaries. This paper introduces a multi-scale confidence based conductance function to address the limitations of anisotropic diffusive filtering. Experiments on phantom and magnetic resonance MR images have been performed using both our method and the gradient-based anisotropic diffusive filtering for comparison purposes.

Descriptors:

• *FILTERS
• *MAGNETIC RESONANCE IMAGING
• IMAGE PROCESSING
• CONDUCTIVITY
• ANISOTROPY
• DIFFUSION
• NOISE REDUCTION

Subject Categories:

• Medicine and Medical Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE