Magnetic Resonance Imaging Scan Time Reduction

Please enable javascript in your browser.

Alviri, Mohammad Reza | 2016

693 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 49035 (46)
University: Sharif University of Technology
Department: Energy Engineering
Advisor(s): Vosoughi, Naser; Vosoughi Vahdat, Bijan
Abstract:
Magnetic resonance imaging (MRI) is a highly efficient method that can provide acceptable contrast between soft tissues. But the big disadvantage of this method is that its acquisition is slow. To find the reason of being time-consuming should the procedure be surveyed. In the magnetic resonance imaging, location information obtained using phase and frequency encoding gradients. So the output is matrix of image data in the frequency domain, which is called k space. For the formation of the k space phase, need to apply gradients several times and this is the main reason of dullness of the system. Therefore, in this project using software methods try to reduce the scan time as possible. Among the various methods, compressive sensing frequently used to reduce the image reconstruction time in preceding studies and yielded good results. But in this project, using Monte Carlo method of importance sampling, the relative error reduce from 0.2295 to 0.0023. Also SNR and PSNR increase about 14% and 9 % respectively
Keywords:
Compressive Sensing ; Magnetic Resonance ; Scanning Speed Improve ; Magnetic Resonance Imagin (MRI) ; Importance Sampling ; K Space

No TOC