Study on Faster Imaging and Reconstruction using Compressed Sensing and Phase-scrambling Fourier Imaging

2014 Fiscal Year Final Research Report

• Project/Area Number: 24560510
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Measurement engineering
• Research Institution: Utsunomiya University
• Principal Investigator: ITO Satoshi 宇都宮大学, 工学(系)研究科(研究院), 教授 (80261816)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 信号処理 / 圧縮センシング / スパース / MRI

Outline of Final Research Achievements

A multi-scale sparsifying transform based on the Fresnel transform (FREBAS) is adopted in order to improve the quality of CS images. The experimental results demonstrate that by increasing the sparsity of the image in the FREBAS transform domain, curved features in MR images can be faithfully reconstructed. It was also revealed that proposed method is robust to the phases on the images due to the susceptibility or blood flow.
In addition, we examine to accelerate the CS reconstruction by using the Graphics Processing Unit (GPU) as a general purpose use. Experimental results show that GPU dramatically accelerates CS reconstruction and single image reconstruction was executed in 1.3 s which suggests the speedups of 9-times.

Free Research Field

工学