MR imaging reconstruction using a modified descent-type alternating direction method

详细信息    查看全文

• 作者：Hao Chen ; Jinxu Tao ; Yuli Sun ; Bensheng Qiu and Zhongfu Ye
• 关键词：alternating direction method ; total variation ; MRI ; descent method ; compressed sensing
• 刊名：International Journal of Imaging Systems and Technology
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：26
• 期：1
• 页码：43-54
• 全文大小：577K
• ISSN：1098-1098

文摘

In the magnetic resonance imaging (MRI) field, total variation (TV) which is the -norm of the gradient-magnitude images (GMI) is widely used as the regularization in the compressive sensing (CS) based reconstruction algorithm. Based on the classic augmented Lagrangian multiplier method, we propose a modified descent-type alternating direction method (ADM) for solving the TV regularized reconstruction problems in the following sense: an iteration result generated by the ADM is utilized to generate a descent direction; an appropriate step size along this descent direction is identified; and the penalty parameters are updated. The proposed algorithm effectively combines alternating direction technique with the descent-type method. Extensive results demonstrate that the proposed algorithm, is competitive with, and often outperforms, other state-of-the-art solvers in the field.