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dc.contributor.authorTobaji, Kalimen_US
dc.contributor.authorMatar, Lauraen_US
dc.contributor.authorAbche, Antoineen_US
dc.contributor.authorKaram, Elieen_US
dc.description.abstractMagnetic Resonance Imaging (MRI) provides important and valuable information (images) about the organs structures and soft tissues non-invasively. In this work, a reconstruction approach using partial k-space, the "Optimized Discrete Fourier Transform" (ODFT), is introduced. The developed approach decomposes the 2-D Fourier Transform (FT) into two steps of 1-D DFT. The corresponding elements along each row or column are estimated using an optimization technique, namely, the complex conjugate gradient. It is proposed to be implemented in conjunction with other techniques to obtain an optimum image that is closer to the original image. The algorithm is evaluated visually and quantitatively using the Performance Test and the Mean Square Error as similarity measures. Also, its effectiveness is compared with different MRI reconstruction techniques such as the Projection onto Convex Set technique, the Conjugate Synthesis technique and the Zero filling technique. The results illustrate that the proposed technique outperforms the conventional MRI image reconstruction techniques.en_US
dc.format.extent6 p.en_US
dc.subjectMedical image processingen_US
dc.subjectBiomedical MRIen_US
dc.subjectConjugate gradient methodsen_US
dc.subjectConvex programmingen_US
dc.subjectDiscrete Fourier transformsen_US
dc.subjectImage reconstructionen_US
dc.subjectLeast squares approximationsen_US
dc.titleMRI image reconstruction approach for partial K-space based on the Discrete Fourier Transform in the least square senseen_US
dc.typeConference Paperen_US
dc.relation.conferenceSignal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) (23-25 Sept. 2015 : Poznan, Poland)en_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.relation.ispartoftextSignal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)en_US
dc.provenance.recordsourceOliben_US of Engineering-
Appears in Collections:Department of Electrical Engineering
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