Meeting Banner
Abstract #2400

Feasibility Study of Improving SPIRiT by Exploiting Artificial Sparsity in Dynamic MRI

Jucheng Zhang1, Zhikang Wang1, Wenhong Ding2, Xia Kong3, and Zhifeng Chen4,5

12nd Affiliated Hospital, Zhejiang University, Hangzhou, China, 2Radiology, 2nd Affiliated Hospital, Zhejiang University, Hangzhou, China, 3School of Computer and Information Science, Hubei Engineering University, Xiaogan, China, 4School of Biomedical Engineering, Southern Medical University, Guangzhou, China, 5Guangdong Provincial Key Laboratory of Medical Image Processing, Guangzhou, China

Improving spatiotemporal resolution is of great importance for dynamic MRI in clinical circumstances. An improved SPIRiT method using artificial sparsity and PCA denoising is proposed in this work. Simulated cardiac perfusion phantom and in-vivo cardiac cine experiments were conducted. The proposed method showed better image quality compared with GRAPPA and the frame-by-frame SPIRiT method.

This abstract and the presentation materials are available to members only; a login is required.

Join Here