Magnetic Resonance Image Reconstruction Using Equation System Solving-Based Singularity Function Analysis

Authors :: Jianhua Luo
Yuemin Zhu
Centre de Recherche et d'Application en Traitement de l'Image et du Signal (CREATIS)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École Supérieure Chimie Physique Électronique de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Zhu, Yuemin
Source :: IEEE Embc, IEEE Embc, 2007, Lyon, France. pp.751--754
Publication Year :: 2007
Publisher :: HAL CCSD, 2007.
Abstract: This paper presents a method of reconstructing magnetic resonance (MR) images from partial k-space using a so-called singularity function model. To estimate the parameters of the model, we propose a new technique based on equation system solving. The proposed reconstruction method is evaluated on both simulated and real brain MR data. It is also compared with existing techniques. The results show that this new strategy exhibits a great simplicity while offering a good reconstruction quality.

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