Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

MRI Reconstruction Using SVD in the Least Square Sense

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
4 Author(s)
Yaacoub, F. ; Dept. of Electr. Eng., Univ. of Balamand, Tripoli ; Abche, A. ; Karam, E. ; Hamam, Y.

Magnetic resonance imaging is a very powerful tool for imaging structures or organs of the human body in a non-invasive manner. Having collected the raw data and discretized in the k-space, Fourier methods are the natural choice to reconstruct the MRI images. In this paper, a technique to reconstruct MRI images is presented. It does not perform the inverse Fourier transform directly on the k-space images. It is based on the SVD decomposition in the least square sense. This approach is compared with other existing approaches using different criteria such as the root mean square and the performance test. The results show that the proposed approach is much better.

Published in:

Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on

Date of Conference:

17-19 June 2008