Title :
An MRI image reconstruction approach based on the minimization of a complex norm
Author :
Abche, Antoine B. ; Yaacoub, Fadi ; Hamam, Yskandar ; Karam, Elie
Author_Institution :
Fac. of Eng., Univ. of Balamand, Tripoli
Abstract :
In this paper, a technique to reconstruct MRI images is proposed and presented. It is based on the decomposition of the collected raw data and the model into real and imaginary components. Then, a corresponding cost (error) function is formed to estimate the image intensities by an optimization procedure based on the conjugate gradient approach. The proposed approach is evaluated and compared with other conventional approaches such as SVD, conjugate synthesis, zero-filling and projection onto convex set (POCS) approaches. The quantitative evaluation is based on three different criteria: the root mean square, the performance test and the peak signal to noise ratio. The results show that the performance of the proposed approach offers a certain improvement over the other conventional techniques.
Keywords :
biomedical MRI; conjugate gradient methods; image reconstruction; mean square error methods; medical image processing; minimisation; MRI image reconstruction; complex norm minimization; conjugate gradient approach; cost function; image intensity estimation; optimization; root mean square method; Biomedical imaging; Computed tomography; Cost function; Image coding; Image reconstruction; Magnetic fields; Magnetic resonance imaging; PSNR; Signal synthesis; X-ray imaging;
Conference_Titel :
Industrial Electronics, 2008. IECON 2008. 34th Annual Conference of IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1767-4
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2008.4758235