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Shuai Wang
University of Electronic Science and Technology

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Magnetic Resonance Imaging Fusion by 3D Compactly Supported Shearlet Transform Chang Duan; Qihong Huang; Shuai Wang; Xuegang Wang; Hong Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

T2* and Quantitative Susceptibility Mapping (QSM) Magnetic Resonance Imaging (MRI) volume provide different type inner structure information of scanned organs. If they can be properly fused into one volume, the details of the organ can be more clearly revealed. In this paper, a 3D MRI volume fusion method based on 3D Compactly Supported Shearlet Transform (3D-CSST) and 3D Dual Tree Compactly Supported Shearlet Transform (3D-DT-CSST), is proposed, which can overcome the limitation, loss of inter layer correlative information, of conventional 2D image fusion methods. 3D-DT-CSST is our modification of 3D-CSST, which is approximate shift invariant. It can improve the performance of fusion method. The proposed method is evaluated by 4 groups of MRI volumes of human brains. The experiment suggests the proposed method has a better performance than conventional 2D wavelet, 2D DT-CWT and 3D wavelet, 3D DT-CWT based fusion methods, and 3D-DT-CSST based method is better than 3D-CSST based method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4268
Co-Authors Chang Duan Hong Wang Qihong Huang Xuegang Wang