5月19日 沈立新教授学术报告

发布时间:2016-05-18

题 目：An Adaptive Directional Haar Framelet-based Reconstruction Algorithm for Parallel Magnetic Resonance Imaging

报告人：沈立新，教授，美国雪城大学

时 间： 5月19日（周四） 下午2：30-3：30

地 点：新数学楼415室

报告摘要：
Parallel magnetic resonance imaging (pMRI) is a technique to accelerate the magnetic resonance imaging process. The problem of reconstructing an image from the collected pMRI data is ill-posed. Regularization is needed to make the problem well-posed. In this talk, we first construct a twodimensional tight framelet system whose filters have the same support as the orthogonal Haar filters and are able to detect edges of an image in the horizontal, vertical, and ±45^o directions. This system is referred to as directional Haar framelet (DHF). We then propose a pMRI reconstruction model whose regularization term is formed by the DHF. This model is solved by a fast proximal algorithm with low computational complexity. The regularization parameters are updated adaptively and determined automatically during the iteration of the algorithm. Numerical experiments for in-silico and in-vivo data sets are provided to demonstrate the superiority of the DHF-based model and the efficiency of our proposed algorithm for pMRI reconstruction. This is a joint work with Raymond Chan and Yanran Li.

报告人简介：
https://lshen03.expressions.syr.edu/