A Simple Fast Method of Gibbs Ringing Artifact & Noise Reduction with Edge Enhancement using Low-Pass, Band-Pass, & High-Pass K-Space Windowing Functions

Leping Zha¹, Tsutomu Hoshino¹, Yuichi Yamashita²

The existing Gibbs ringing reduction methods either blurs out fine details in the images or tend to produce piece-wise constant profile images of unnatural looking for MR. A new simple, fast, and rather straightforward method based on multiplying the k-space data with low-pass, band-pass, and high-pass windowing functions, and combining the results in image space simultaneously and effectively reduces ringing artifacts and noise, and enhance edges and fine details. The key components in the algorithm include optimized matching windowing functions and fast fuzzy edge extraction based on band-pass spatial frequency selection.