Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/691
Title: An MRI image reconstruction approach based on the minimization of a complex norm
Authors: Abche, Antoine 
Yaacoub, Fadi
Hamam, Yskandar
Karam, Elie 
Affiliations: Department of Electrical Engineering 
Department of Electrical Engineering 
Keywords: Minimisation
Biomedical MRI
Conjugate gradient methods
Image reconstruction
Mean square error methods
Medical image processing
Issue Date: 2009
Publisher: IEEE
Part of: 34th Annual Conference of the IEEE Industrial Electronics Society (IECON 2008)
Start page: 1839
End page: 1844
Conference: Annual Conference of IEEE Industrial Electronics (34th : 10-13 Nov. 2008 : Orlando, FL, USA) 
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.
URI: https://scholarhub.balamand.edu.lb/handle/uob/691
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

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