Share Email Print

Proceedings Paper

Parallel magnetic resonance imaging reconstruction algorithm by three-dimension directional Haar tight framelet regularization
Author(s): Yan-Ran Li; Xiaosheng Zhuang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, a 3-dimension directional Haar tight framelet (3DHF) is used to detect the related features between coil images in parallel magnetic resonance imaging (pMRI). Such a Haar tight framelet has an extremely simple geometric structure in the sense that all the high-pass filters in its underlying filter bank have only two nonzero coefficients with opposite signs. A pMRI optimization model, which we coined 3DHF-SPIRiT, by regularizing the 3DHF features on the 3-D coil image data is proposed to reduce the aliasing artifacts caused by the downsampling operation in the k-space (Fourier) domain, which can be solved by alternating direction method of multipliers (ADMM) scheme. Numerical experiments are provided to demonstrate the superiority and efficiency of our 3DHF-SPIRiT model.

Paper Details

Date Published: 9 September 2019
PDF: 8 pages
Proc. SPIE 11138, Wavelets and Sparsity XVIII, 111381C (9 September 2019); doi: 10.1117/12.2528788
Show Author Affiliations
Yan-Ran Li, Shenzhen Univ. (China)
Xiaosheng Zhuang, City Univ. of Hong Kong (Hong Kong, China)

Published in SPIE Proceedings Vol. 11138:
Wavelets and Sparsity XVIII
Dimitri Van De Ville; Manos Papadakis; Yue M. Lu, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?